Original article
Tuberculosis: Which patients do not identify their contacts?
Tuberculose: que doentes não identificam os seus contactos?
a Department of Clinical Epidemiology, Predictive Medicine and Public Health, Faculty of Medicine, University of Porto, Porto, Portugal
b Faculty of Science, University of Porto, Porto, Portugal
c Chest Disease Centre of Vila Nova de Gaia, Vila Nova de Gaia, Portugal
d Pulmonology Department, Hospital of Vila Nova de Gaia/Espinho – EPE, Vila Nova de Gaia, Portugal
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A low level of education, fear of stigma, lack of advice, lack of collaboration, not knowing contacts’ names, and reluctance to visit health care services have all contributed to some contacts not being screened.<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6,7</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">In Portugal, 2559 cases of TB were diagnosed in 2010 (incidence of 22.3 per 100.000 residents).<a class="elsevierStyleCrossRef" href="#bib0040"><span class="elsevierStyleSup">8</span></a> Vila Nova de Gaia has a population of approximately 302.092 people<a class="elsevierStyleCrossRef" href="#bib0045"><span class="elsevierStyleSup">9</span></a> and an incidence of TB of 30.8 per 100.000 residents in 2010.<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a> According to national guidelines, contact tracing is triggered whenever a case of pulmonary TB is diagnosed.<a class="elsevierStyleCrossRef" href="#bib0055"><span class="elsevierStyleSup">11</span></a> Patients with confirmed diagnosis of infectious TB are interviewed and asked to report the names of contacts in the different contexts of daily activities at home, at work and socially.</p><p id="par0020" class="elsevierStylePara elsevierViewall">In Vila Nova de Gaia, a complementary strategy was added in January 2004: after diagnosis, all cases are reported to the Public Health Units (PHU), who will screen contacts at risk already identified by the index case (IC). After the interview, the PHU begins conducting routine visits to households, workplaces, congregate settings, homeless shelters, hospitals and prisons, identifying more at‐risk.<a class="elsevierStyleCrossRef" href="#bib0050"><span class="elsevierStyleSup">10</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">It is not known what the magnitude of the number of non‐identified TB contacts in our country is or the reasons for not identifying contacts at risk. The purpose of this study was to analyze determinants associated with this non‐identification of contacts by the patients with confirmed diagnosis of infectious TB, during the period between January 1st, 2010 and December 31st, 2010 at the Chest Disease Centre of Vila Nova de Gaia.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Ethical approval</span><p id="par0030" class="elsevierStylePara elsevierViewall">Screening of at‐risk populations is endorsed by the National Tuberculosis Program Guidelines of the National Health Department in “Programa Nacional de Luta contra a Tuberculose” published in the Portuguese Official Government Gazette [(The Republic Daily/Diário da República) II series, n° 218] on September 20th, 1997. Naturally, patient anonymity is preserved throughout the data analysis.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Methods</span><p id="par0035" class="elsevierStylePara elsevierViewall">This population‐based cross‐sectional study included all cases of pulmonary TB diagnosed and treated in the Chest Disease Centre of Vila Nova de Gaia and their contacts between 1st January and 31st December 2010. Data collection was processed after reviewing clinical and nursing records.</p><p id="par0040" class="elsevierStylePara elsevierViewall">The following variables were selected for this study: gender, age, country of origin, place of residence (households, congregate settings and homeless shelters), professional status, symptomatology, co‐morbidities, HIV infection, drug users, previous history of TB, contact type, contact time and screening result. This information was collected from all cases and their contacts.</p><p id="par0045" class="elsevierStylePara elsevierViewall">Due to the change in strategy, two groups were designed: Public Health Unit (PHU) vs. index case (IC). The variables associated were analyzed to determine the non‐identification of contacts.</p></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Definitions</span><p id="par0050" class="elsevierStylePara elsevierViewall"><ul class="elsevierStyleList" id="lis0005"><li class="elsevierStyleListItem" id="lsti0005"><span class="elsevierStyleLabel">•</span><p id="par0055" class="elsevierStylePara elsevierViewall">Case of pulmonary TB: sputum or bronchial lavage culture positive for <span class="elsevierStyleItalic">Mycobacterium tuberculosis</span>.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a></p></li><li class="elsevierStyleListItem" id="lsti0010"><span class="elsevierStyleLabel">•</span><p id="par0060" class="elsevierStylePara elsevierViewall">Latent tuberculosis infection (LTBI): asymptomatic individuals with a normal chest radiography and positive tuberculin skin test or interferon gamma assay (IGRA) positive.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a></p></li><li class="elsevierStyleListItem" id="lsti0015"><span class="elsevierStyleLabel">•</span><p id="par0065" class="elsevierStylePara elsevierViewall">Contact: individual with a history of exposure to a case during the infectivity period.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a></p></li><li class="elsevierStyleListItem" id="lsti0020"><span class="elsevierStyleLabel">•</span><p id="par0070" class="elsevierStylePara elsevierViewall">Frequent contacts: individuals exposed to TB case for more than 8<span class="elsevierStyleHsp" style=""></span>h a day or more than 40 cumulative hours during the infectivity period.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a></p></li><li class="elsevierStyleListItem" id="lsti0025"><span class="elsevierStyleLabel">•</span><p id="par0075" class="elsevierStylePara elsevierViewall">Sporadic contacts: individuals exposed to TB case for less than 8<span class="elsevierStyleHsp" style=""></span>h a day or less than 40 cumulative hours during the infectivity period.<a class="elsevierStyleCrossRef" href="#bib0015"><span class="elsevierStyleSup">3</span></a></p></li><li class="elsevierStyleListItem" id="lsti0030"><span class="elsevierStyleLabel">•</span><p id="par0080" class="elsevierStylePara elsevierViewall">Positive screening: result of contacts that were diagnosed positive to TB or LTBI.</p></li></ul></p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Statistical analysis</span><p id="par0085" class="elsevierStylePara elsevierViewall">Unconditional logistic regression was used to measure the magnitude of associations between the outcome and the covariates. A multivariable analysis using logistic regression was conducted with all variables that were associated with the outcome in the univariate analysis. Results were reported as odds ratios (OR) and their respective 95% confidence intervals (95%CI). The significant level was fixed at 0.05. Statistical analyses were performed using the software SPSS 19.</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Results</span><p id="par0090" class="elsevierStylePara elsevierViewall">In the period studied, 61 cases of pulmonary TB were reported, of which 41 cases (67.2%) identified all their contacts and 20 cases (32.8%) did not. No determinant associated to lack of identification of contact was found (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall">Both strategies succeeded in identifying 646 contacts, of which 154 (23.8%) were identified by the PHU and 492 (76.2%) identified by the IC (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>). Being employed (adjusted OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4.82; 95%CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.71–13.54) and not being a relative or a co‐habitant (adjusted OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.22; 95%CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.10–0.47) were independent risk factors for not being identified and proposed for screening by the IC (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0100" class="elsevierStylePara elsevierViewall">Overall, a mean of 10.59 contacts were identified per index case, of which, 19.3% screened positive. Among all contacts identified by the PHU, 10 (9.8%) had LTBI and 5 (4.9%) active TB. Among all contacts identified by the IC, 61 (18.6%) had LTBI and 7 (2.1%) TB.</p><p id="par0105" class="elsevierStylePara elsevierViewall">Contacts identified by the PHU were older (mean age of 40.67) than the contacts identified by the IC (mean age of 33.25), (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001).</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0105">Discussion</span><p id="par0110" class="elsevierStylePara elsevierViewall">In our study, being employed (adjusted OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4.82; 95%CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.71–13.54) and not being a relative or a co‐habitant of the index case (adjusted OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.22; 95%CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.10–0.47) were associated with not being identified by the IC. Likewise being older was a risk factor for not being identified by the IC (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001). This finding is consistent with other studies<a class="elsevierStyleCrossRefs" href="#bib0060"><span class="elsevierStyleSup">12–15</span></a> that found the mean age of the contacts with TB to be of approximately 35 years.</p><p id="par0115" class="elsevierStylePara elsevierViewall">We found a strong association between the employment status of the contacts and identification for screening. The contacts that were employed were almost five times more likely not to be identified by the IC compared to the unemployed. It is possible that cases do not know the names of all co‐workers with whom they had significant contact, or that they feared discrimination among their colleagues and losing their jobs.<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7,16,17</span></a></p><p id="par0120" class="elsevierStylePara elsevierViewall">In this study, relatives and co‐habitants had 78% more chances of being identified by the IC for screening than other contacts. Other studies<a class="elsevierStyleCrossRefs" href="#bib0025"><span class="elsevierStyleSup">5,7</span></a> identified the quality of the interview as a cause for lack of contact identification – cases may not understand what is meant by “contacts”. In others<a class="elsevierStyleCrossRef" href="#bib0060"><span class="elsevierStyleSup">12</span></a> homeless index cases were more likely to be unable to identify contacts whom they could name.</p><p id="par0125" class="elsevierStylePara elsevierViewall">Some drug users have shown a significant reluctance to provide names of their contacts, mainly due to the fear that their privacy and their contacts’ privacy might be invaded.<a class="elsevierStyleCrossRefs" href="#bib0035"><span class="elsevierStyleSup">7,18</span></a> In this study, being a drug user was not a risk factor for not being identified as a risk contact. This may be explained by the fact that the city of Vila Nova de Gaia in 2004 established a partnerships with support Centres for drug users, with street shelters and with teams responsible for looking after drug users in the community, aiming to improve detection of TB cases among drug users and to facilitate the access to health care services.<a class="elsevierStyleCrossRefs" href="#bib0030"><span class="elsevierStyleSup">6,10</span></a></p><p id="par0130" class="elsevierStylePara elsevierViewall">There were 10 (9.8%) LTBI and 5 (4.9%) active TB cases among the contacts identified by the PHU. This implies that special efforts should be made during the investigation of contacts by the IC to identify all contacts at risk. Likewise, it is effective for public health workers to visit households, workplaces, congregate settings, homeless shelters, hospitals and prisons to identify contacts.<a class="elsevierStyleCrossRefs" href="#bib0050"><span class="elsevierStyleSup">10,19,20</span></a></p><p id="par0135" class="elsevierStylePara elsevierViewall">This study concluded that TB patients tend to identify relatives and co‐habitants contacts, and their employment contacts were an independent risk factor for not being identified.</p><p id="par0140" class="elsevierStylePara elsevierViewall">The strengths of this study lie in the setting and design. The study was a population‐based cross‐sectional study with the contacts identified by PHU – and contacts identified by IC – matched group. Official statistics software was used to analyze the determinants associated with non‐identification of contacts. The use of data from only one Chest Disease Centre reduced the possible confounding effect of differences in the identification of contacts between Chest Disease Centres.</p><p id="par0145" class="elsevierStylePara elsevierViewall">The first limitation of this study is the sample size and the restriction of data to one Chest Disease Centre only, which limited generalization of the results. Secondly, no contact identified by PHU in this study was known to be HIV positive, limiting our ability to analyze this group. The analysis allowed the study of only a few variables, when there might be many others. The analysis of clinical and nursing records was done by the author, and some degree of subjectivity is hence inevitable.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0110">Ethical disclosures</span><span id="sec0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0115">Protection of human and animal subjects</span><p id="par0150" class="elsevierStylePara elsevierViewall">The authors declare that no experiments were performed on humans or animals for this study.</p></span><span id="sec0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0120">Confidentiality of data</span><p id="par0155" class="elsevierStylePara elsevierViewall">The authors declare that they have followed the protocols of their work Centre on the publication of patient data and that all the patients included in the study received sufficient information and gave their written informed consent to participate in the study.</p></span><span id="sec0055" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0125">Right to privacy and informed consent</span><p id="par0160" class="elsevierStylePara elsevierViewall">The authors declare that no patient data appear in this article.</p></span></span><span id="sec0060" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0130">Conflicts of interest</span><p id="par0165" class="elsevierStylePara elsevierViewall">The Authors declares that there is no conflict of interest.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:14 [ 0 => array:3 [ "identificador" => "xres548421" "titulo" => "Abstract" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Setting" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Design" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec566237" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres548420" "titulo" => "Resumo" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Contexto" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Materiais e Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusão" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec566236" "titulo" => "Palavras‐chave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Ethical approval" ] 6 => array:2 [ "identificador" => "sec0015" "titulo" => "Methods" ] 7 => array:2 [ "identificador" => "sec0020" "titulo" => "Definitions" ] 8 => array:2 [ "identificador" => "sec0025" "titulo" => "Statistical analysis" ] 9 => array:2 [ "identificador" => "sec0030" "titulo" => "Results" ] 10 => array:2 [ "identificador" => "sec0035" "titulo" => "Discussion" ] 11 => array:3 [ "identificador" => "sec0040" "titulo" => "Ethical disclosures" "secciones" => array:3 [ 0 => array:2 [ "identificador" => "sec0045" "titulo" => "Protection of human and animal subjects" ] 1 => array:2 [ "identificador" => "sec0050" "titulo" => "Confidentiality of data" ] 2 => array:2 [ "identificador" => "sec0055" "titulo" => "Right to privacy and informed consent" ] ] ] 12 => array:2 [ "identificador" => "sec0060" "titulo" => "Conflicts of interest" ] 13 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2013-10-16" "fechaAceptado" => "2013-11-29" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec566237" "palabras" => array:4 [ 0 => "Tuberculosis" 1 => "Investigation of contacts" 2 => "Screening" 3 => "Contact identification" ] ] ] "pt" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palavras‐chave" "identificador" => "xpalclavsec566236" "palabras" => array:4 [ 0 => "Tuberculose" 1 => "Investigação de contactos" 2 => "Rastreio" 3 => "Identificação de contactos" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Setting</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">It is not known what the magnitude of non‐identified TB contacts is in our country, or the reasons why contacts at risk are not identified.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Objective</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The purpose of this study was to analyze the determinants associated with non‐identification of contacts.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Design</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">This cross‐sectional study included all cases of pulmonary tuberculosis diagnosed and treated in the Chest Disease Centre of Vila Nova de Gaia and their contacts, from 1st January to 31st December 2010. It included information collected from patients related to the identification of contacts in risk, and the information collected by the Public Health Unit during home, work and social places visits.</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">During the period of study, 61 cases of pulmonary TB were diagnosed: 41 cases (67.2%) identified all their contacts and 20 cases (32.8%) did not. 646 contacts were identified: 154 (23.8%) were identified only by the Public Health Unit (mean age of 40.67), and 492 (76.2%) were identified by the index cases (mean age of 33.25), (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.001). A mean of 10.59 contacts were identified per index case, of which, 83 (19.3%) screened positive. From those identified by the Public Health Unit, 10 (9.8%) had LTBI and 5 (4.9%) had active TB, and by the index case 61 (18.6%) had LTBI and 7 (2.1%) had active TB (crude OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.52; CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.83–2.79). The multivariate analysis showed that employment (adjusted OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4.82; 95%CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1.71–13.54) was associated to non‐identification of contacts and patients preferably tended to identify relatives and co‐habitants (adjusted OR<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.22; 95%CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.10–0.47).</p></span> <span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0030">Conclusion</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">TB patients tend to identify relatives and co‐habitant contacts; contact at place of employment was found to be an independent risk factor for not being identified.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Setting" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Objective" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Design" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Results" ] 4 => array:2 [ "identificador" => "abst0025" "titulo" => "Conclusion" ] ] ] "pt" => array:3 [ "titulo" => "Resumo" "resumen" => "<span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Contexto</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Não é conhecida a magnitude dos contactos de TB não identificados no nosso país, nem os motivos porque os contactos em risco não são identificados.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Objetivo</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">O objetivo deste estudo foi analisar as determinantes associadas à não‐identificação dos contactos.</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Materiais e Métodos</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Este estudo transversal incluiu todos os casos de tuberculose pulmonar diagnosticados e tratados no Centro de Doenças Pulmonares de Vila Nova de Gaia e os seus contactos, de 1 de janeiro a 31 de dezembro de 2010. Incluiu a informação recolhida de doentes relacionada com a identificação dos contactos em risco e a informação recolhida pela Unidade de Saúde Pública durante as visitas ao domicílio, ao trabalho e a espaços sociais.</p></span> <span id="abst0045" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0055">Resultados</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Durante o período de estudo, foram diagnosticados 61 casos de TB pulmonar: 41 casos (67,2%) identificaram todos os seus contactos e 20 casos (32,8%) não o fizeram. Foram identificados 646 contactos: 154 (23,8%) foram identificados apenas pela Unidade de Saúde Pública (idade média de 40,67 anos) e 492 (76,2%) foram identificados pelos casos índice (idade média de 33,25, p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,001). Foram identificados uma média de 10,59 contactos por Caso Índice, dos quais 83 (19,3%) rastreados como positivos. Dos identificados pela Unidade de Saúde Pública, 10 (9,8%) tinham uma LTBI (infeção tuberculosa latente) e 5 (4,9%) TB ativa, e pelo Caso Índice, 61 (18,6%) tinham LTBI e 7 (2,1%) TB ativa, (OR bruto<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1,52; CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,83–2,79). A análise multivariada mostrou que o emprego (OR ajustado<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>4,82; 95% CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>1,71–13,54) estava associado à não identificação de contactos e os doentes tinham tendência, preferencialmente, a identificar familiares e coabitantes (OR ajustado<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,22; 95% CI<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,10–0,47).</p></span> <span id="abst0050" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0060">Conclusão</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">Os doentes com TB tendem a identificar os contactos de familiares e coabitantes; os contactos no local de trabalho foram considerados um fator de risco independente para não ser identificado.</p></span>" "secciones" => array:5 [ 0 => array:2 [ "identificador" => "abst0030" "titulo" => "Contexto" ] 1 => array:2 [ "identificador" => "abst0035" "titulo" => "Objetivo" ] 2 => array:2 [ "identificador" => "abst0040" "titulo" => "Materiais e Métodos" ] 3 => array:2 [ "identificador" => "abst0045" "titulo" => "Resultados" ] 4 => array:2 [ "identificador" => "abst0050" "titulo" => "Conclusão" ] ] ] ] "multimedia" => array:2 [ 0 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Possible association of the main variables that might present determinants factors that prevented index cases identified their contacts.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col">Determinants</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Not identified all contacts</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Identified all contacts</th><th class="td" title="table-head " align="left" valign="top" scope="col">Crude OR \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">95%CI \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">n</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">n</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Gender</td><td class="td" title="table-entry " align="left" valign="top">Male \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">28 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">68.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Female \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.54 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.15–1.93) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Professional status</td><td class="td" title="table-entry " align="left" valign="top">Unemployed \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">26.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Employed \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">73.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">25 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">64.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.57 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.47–5.27) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Symptomatology</td><td class="td" title="table-entry " align="left" valign="top">Asymptomatic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">9.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Symptomatic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">37 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">90.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.43 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.10–1.95) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Associated pathologies</td><td class="td" title="table-entry " align="left" valign="top">Not \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">65 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">75.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">35 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.67 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.52–5.34) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">HIV</td><td class="td" title="table-entry " align="left" valign="top">Negative \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">95 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">95.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Positive \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.03 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.09–12.04) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Drug users</td><td class="td" title="table-entry " align="left" valign="top">Not \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">34 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">82.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.31–4.75) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Previous tuberculosis</td><td class="td" title="table-entry " align="left" valign="top">Not \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">95 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">38 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">92.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.67 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.65–6.85) \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab885859.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Determinants for the identification of contacts by the index cases.</p>" ] ] 1 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:2 [ "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Intended to assess possible associations for the main variables that could present determinants among the contacts that prevent them from identifying by PHU vs. IC.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col">Determinants</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">PHU</th><th class="td" title="table-head " colspan="2" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">IC</th><th class="td" title="table-head " align="left" valign="top" scope="col">Crude OR \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">95%CI \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">Adjusted OR \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col">95%CI \t\t\t\t\t\t\n \t\t\t\t</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">n</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">n</span> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">(%) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Gender</td><td class="td" title="table-entry " align="left" valign="top">Male \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">78 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">245 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Female \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">76 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">49.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">247 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">50.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.04 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.72–1.49) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Contact type</td><td class="td" title="table-entry " align="left" valign="top">Family or cohabitant \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">61 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">39.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">380 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">80 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Other \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">93 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">60.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">95 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.16 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.11–0.24) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.10–0.47) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Contact time</td><td class="td" title="table-entry " align="left" valign="top">Frequent \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">135 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">41.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Sporadic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">78 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">76.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">192 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">58.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.44 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.26–0.73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.69 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.29–1.62) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Professional status</td><td class="td" title="table-entry " align="left" valign="top">Unemployed \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">6.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Employed \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">61 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">85.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">173 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">93.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">2.36 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.97–5.75) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4.82 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(1.71–13.54) \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Symptomatology</td><td class="td" title="table-entry " align="left" valign="top">Asymptomatic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">82.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">286 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">87.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Symptomatic \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">42 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.69 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.38–1.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Associated pathologies</td><td class="td" title="table-entry " align="left" valign="top">Not \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">68.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">238 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">72.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">32 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">31.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">90 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">27.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.83 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.51–1.34) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Drug users</td><td class="td" title="table-entry " align="left" valign="top">Not \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">84 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">82.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">258 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">78.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">18 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">17.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">70 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">21.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.27 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.71–2.25) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Immigrant</td><td class="td" title="table-entry " align="left" valign="top">Not \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">94 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">92.2 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">307 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">93 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">23 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.88 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.38–2.03) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Previous tuberculosis</td><td class="td" title="table-entry " align="left" valign="top">Not \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">98 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">96.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">317 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">96.6 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Yes \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.9 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">11 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">3.4 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.85 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.27–2.73) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " rowspan="2" align="left" valign="middle">Screening result</td><td class="td" title="table-entry " align="left" valign="top">Negative \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">87 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">85.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">260 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">79.3 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="left" valign="top">Positive \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">15 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">68 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">20.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1.52 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">(0.83–2.79) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">– \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab885860.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Determinants for the identification of contacts by the PHU vs. IC.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:20 [ 0 => array:3 [ "identificador" => "bib0005" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Evaluation of investigations conducted to detect and prevent transmission of tuberculosis" "autores" => array:1 [ 0 => array:3 [ "colaboracion" => "Contact Investigation Study Group" "etal" => true "autores" => array:6 [ 0 => "M.R. Reichler" 1 => "R. Reves" 2 => "S. Bur" 3 => "V. Thompson" 4 => "B.T. Mangura" 5 => "J. Ford" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "JAMA" "fecha" => "2002" "volumen" => "287" "paginaInicial" => "991" "paginaFinal" => "995" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11866646" "web" => "Medline" ] ] ] ] ] ] ] ] 1 => array:3 [ "identificador" => "bib0010" "etiqueta" => "2" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Control and prevention of tuberculosis in the United Kingdom: code of practice 2000" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:1 [ 0 => "Joint Tuberculosis Committee of the British Thoracic Society" ] ] ] ] ] "host" => array:1 [ 0 => array:1 [ "Revista" => array:6 [ "tituloSerie" => "Thorax" "fecha" => "2000" "volumen" => "55" "paginaInicial" => "887" "paginaFinal" => "901" "link" => array:1 [ 0 => array:2 [ "url" => "https://www.ncbi.nlm.nih.gov/pubmed/11050256" "web" => "Medline" ] ] ] ] ] ] ] ] 2 => array:3 [ "identificador" => "bib0015" "etiqueta" => "3" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Guidelines for the investigation of contacts of persons with infectious tuberculosis. 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| Year/Month | Html | Total | |
|---|---|---|---|
| 2024 November | 6 | 6 | 12 |
| 2024 October | 30 | 36 | 66 |
| 2024 September | 35 | 26 | 61 |
| 2024 August | 48 | 25 | 73 |
| 2024 July | 47 | 36 | 83 |
| 2024 June | 31 | 30 | 61 |
| 2024 May | 37 | 32 | 69 |
| 2024 April | 38 | 33 | 71 |
| 2024 March | 37 | 20 | 57 |
| 2024 February | 40 | 21 | 61 |
| 2024 January | 39 | 31 | 70 |
| 2023 December | 20 | 22 | 42 |
| 2023 November | 27 | 36 | 63 |
| 2023 October | 26 | 29 | 55 |
| 2023 September | 29 | 33 | 62 |
| 2023 August | 32 | 18 | 50 |
| 2023 July | 19 | 25 | 44 |
| 2023 June | 23 | 16 | 39 |
| 2023 May | 45 | 26 | 71 |
| 2023 April | 34 | 16 | 50 |
| 2023 March | 79 | 14 | 93 |
| 2023 February | 52 | 20 | 72 |
| 2023 January | 19 | 17 | 36 |
| 2022 December | 46 | 15 | 61 |
| 2022 November | 65 | 36 | 101 |
| 2022 October | 57 | 35 | 92 |
| 2022 September | 36 | 21 | 57 |
| 2022 August | 49 | 39 | 88 |
| 2022 July | 37 | 43 | 80 |
| 2022 June | 21 | 33 | 54 |
| 2022 May | 38 | 36 | 74 |
| 2022 April | 28 | 26 | 54 |
| 2022 March | 31 | 49 | 80 |
| 2022 February | 27 | 35 | 62 |
| 2022 January | 30 | 30 | 60 |
| 2021 December | 23 | 39 | 62 |
| 2021 November | 39 | 37 | 76 |
| 2021 October | 37 | 43 | 80 |
| 2021 September | 13 | 34 | 47 |
| 2021 August | 26 | 28 | 54 |
| 2021 July | 17 | 22 | 39 |
| 2021 June | 31 | 22 | 53 |
| 2021 May | 31 | 13 | 44 |
| 2021 April | 54 | 57 | 111 |
| 2021 March | 47 | 16 | 63 |
| 2021 February | 63 | 14 | 77 |
| 2021 January | 28 | 13 | 41 |
| 2020 December | 33 | 3 | 36 |
| 2020 November | 44 | 18 | 62 |
| 2020 October | 32 | 10 | 42 |
| 2020 September | 65 | 14 | 79 |
| 2020 August | 50 | 25 | 75 |
| 2020 July | 71 | 20 | 91 |
| 2020 June | 56 | 14 | 70 |
| 2020 May | 86 | 20 | 106 |
| 2020 April | 51 | 21 | 72 |
| 2020 March | 49 | 9 | 58 |
| 2020 February | 61 | 15 | 76 |
| 2020 January | 67 | 19 | 86 |
| 2019 December | 58 | 14 | 72 |
| 2019 November | 84 | 6 | 90 |
| 2019 October | 82 | 18 | 100 |
| 2019 September | 77 | 17 | 94 |
| 2019 August | 104 | 12 | 116 |
| 2019 July | 138 | 16 | 154 |
| 2019 June | 117 | 15 | 132 |
| 2019 May | 136 | 16 | 152 |
| 2019 April | 120 | 22 | 142 |
| 2019 March | 159 | 11 | 170 |
| 2019 February | 131 | 14 | 145 |
| 2019 January | 174 | 24 | 198 |
| 2018 December | 103 | 9 | 112 |
| 2018 November | 28 | 2 | 30 |
| 2018 October | 35 | 20 | 55 |
| 2018 September | 27 | 6 | 33 |
| 2018 August | 39 | 24 | 63 |
| 2018 July | 42 | 21 | 63 |
| 2018 June | 33 | 13 | 46 |
| 2018 May | 51 | 18 | 69 |
| 2018 April | 76 | 13 | 89 |
| 2018 March | 76 | 19 | 95 |
| 2018 February | 42 | 11 | 53 |
| 2018 January | 72 | 11 | 83 |
| 2017 December | 104 | 20 | 124 |
| 2017 November | 52 | 10 | 62 |
| 2017 October | 21 | 18 | 39 |
| 2017 September | 33 | 15 | 48 |
| 2017 August | 25 | 14 | 39 |
| 2017 July | 25 | 15 | 40 |
| 2017 June | 33 | 12 | 45 |
| 2017 May | 30 | 23 | 53 |
| 2017 April | 16 | 9 | 25 |
| 2017 March | 15 | 10 | 25 |
| 2017 February | 3 | 3 | 6 |
| 2017 January | 13 | 4 | 17 |
| 2016 December | 6 | 4 | 10 |
| 2016 November | 8 | 2 | 10 |
| 2016 October | 5 | 5 | 10 |
| 2016 September | 19 | 1 | 20 |
| 2016 August | 7 | 2 | 9 |
| 2016 July | 5 | 6 | 11 |
| 2016 May | 2 | 9 | 11 |
| 2016 April | 33 | 1 | 34 |
| 2016 March | 33 | 7 | 40 |
| 2016 February | 43 | 11 | 54 |
| 2016 January | 37 | 16 | 53 |
| 2015 December | 35 | 6 | 41 |
| 2015 November | 24 | 6 | 30 |
| 2015 October | 28 | 7 | 35 |
| 2015 September | 20 | 10 | 30 |
| 2015 August | 30 | 6 | 36 |
| 2015 July | 24 | 5 | 29 |
| 2015 June | 18 | 4 | 22 |
| 2015 May | 35 | 13 | 48 |
| 2015 April | 33 | 15 | 48 |
| 2015 March | 24 | 7 | 31 |
| 2015 February | 32 | 10 | 42 |
| 2015 January | 30 | 17 | 47 |
| 2014 December | 82 | 54 | 136 |
| 2014 November | 113 | 41 | 154 |
| 2014 October | 123 | 70 | 193 |
| 2014 September | 86 | 64 | 150 |
| 2014 August | 57 | 39 | 96 |
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