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Active and latent tuberculosis among inmates in La Esperanza prison in Guaduas, Colombia

  • Julio Guerra,

    Roles Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Grupo MICOBAC-UN, Departamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá DC, Colombia

  • Daniel Mogollón,

    Roles Data curation, Formal analysis, Investigation, Writing – review & editing

    Affiliation Grupo MICOBAC-UN, Departamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá DC, Colombia

  • Deccy González,

    Roles Conceptualization, Funding acquisition, Writing – review & editing

    Affiliation Programa de Tuberculosis y Lepra, Secretaría de Salud de Cundinamarca, Bogotá DC, Colombia

  • Ricardo Sanchez,

    Roles Conceptualization, Data curation, Formal analysis, Validation, Writing – original draft, Writing – review & editing

    Affiliation Departamento de Psiquiatría, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá DC, Colombia

  • Zulma Vanessa Rueda,

    Roles Conceptualization, Formal analysis, Validation, Writing – original draft, Writing – review & editing

    Affiliation Facultad de Medicina, Universidad Pontificia Bolivariana, Medellín, Antioquia, Colombia

  • Carlos A. Parra-López,

    Roles Conceptualization, Formal analysis, Funding acquisition, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliation Grupo MICOBAC-UN, Departamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá DC, Colombia

  • Martha Isabel Murcia

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    mimurciaa@unal.edu.co

    Affiliation Grupo MICOBAC-UN, Departamento de Microbiología, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá DC, Colombia

Active and latent tuberculosis among inmates in La Esperanza prison in Guaduas, Colombia

  • Julio Guerra, 
  • Daniel Mogollón, 
  • Deccy González, 
  • Ricardo Sanchez, 
  • Zulma Vanessa Rueda, 
  • Carlos A. Parra-López, 
  • Martha Isabel Murcia
PLOS
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Abstract

Introduction

Active tuberculosis (TB) and latent tuberculosis infection (LTBI) are a public health threat in prisons around the world. The objectives of the study were to estimate the prevalence of LTBI and TB as well as to investigate TB transmission inside one prison, in Colombia.

Methods

A Cross-sectional study was conducted in inmates who agreed to participate. Inmates with respiratory symptoms (RS) of any duration underwent to medical evaluation and three sputum samples were taken for smear microscopy and culture for TB diagnosis. Drug susceptibility was analyzed using BACTEC MGIT 960 and GenoType MTBDRplus. Molecular genotyping of Mycobacterium tuberculosis isolates was performed by 24-Locus MIRU-VNTR and spoligotyping. LTBI was evaluated according to the result of the tuberculin skin test (TST). Close contact investigation was conducted inside the prison for inmates that shared the cell with the index TB case.

Results

Among 301/2,020 (15%) inmates with RS of any duration, 8% were diagnosed with active TB. The prevalence of active TB was 1,026 cases/100,000 inmates. We isolated M. tuberculosis in 19/24 (79%) TB cases, 94.7% were susceptible to first line drugs and only one was monoresistant to isoniazid. The most prevalent sub-lineage was Haarlem (68.4%), followed by LAM (26.3%) and T superfamily (5.3%). 24-Locus MIRU-VNTR typing results alone or in combination with spoligotyping identified three clusters containing two isolates each. Two clusters corresponded to inmates that shared the same cell, but each one was located in different blocks of the prison. Inmates from the last cluster were in the same block in nearby cells. TST reading was performed in 95.6% inmates, and 67.6% had a positive reaction.

Conclusions

The prevalence of LTBI and TB was higher in prison than in the general population. Molecular genotyping suggests that TB in this prison is mainly caused by strains imported by inmates or endogenous reactivation.

Introduction

Tuberculosis (TB) in prison population is an important public health problem, especially in low and middle and income countries [1]. Regardless of the economic status and the TB burden of the country, the estimated prevalence of latent TB infection (LTBI) and active TB in prison are reported to be higher than in the general population [13]. Colombia is not an exception, studies of incidence and prevalence of TB in prisons have reported values that are higher than those found in the general population [47]. In addition, it is important to notice that Colombian prison population trend almost duplicated the number inmates from 60,021 in 2006 to 118,532 inmates in 2016 [8].

Several risk factors contribute to higher incidence of TB in prisons. Some factors are related to characteristics of the prison population itself and others are attributable to conditions of incarceration such as overcrowding. Other factors are associated to problems in TB control programs like the implementation of measures to control TB infection and limited access to adequate health care services in prison´s settings [3, 9]. In addition, inmates may be at risk of rapid progression from LTBI to active TB due to co-morbidities, such as HIV infection [9].

Diagnosis of active TB is very important for the control and prevention of the disease. Mostly, TB screening is conducted when a person presents persistent cough for more than two weeks, accompanied or not by other respiratory and/or constitutional symptoms [5, 10]. However, different studies have shown low sensitivity and specificity of this diagnostic criterion of TB in HIV infected patients [1113]. In addition, one study conducted in four Colombia prisons found that 25% of cases had less than 15 days of respiratory symptoms (despite no immunosuppression). This information highlight the importance of expanding the World Health Organization (WHO) criteria to other high-risk population groups such as inmates [5].

Diagnosis and treatment of LTBI can reduce the risk of development of active disease, especially in high-risk groups of progression to active TB. There are two approved methods for the detection of LTBI, the tuberculin skin test (TST) and the interferon-gamma release assays (IGRA) [2, 14]. In Colombia, a national guideline published in 2015, recommend diagnoses of LTBI through TST and use of IGRA in few particular cases [15]. According to this guideline, there are some priority groups for the diagnosis of LTBI such as HIV infected patients, children in contact with a TB case, people under biological immunomodulator therapy for autoimmune diseases, in dialysis, or that is going to receive hematopoietic stem cell or solid-organ transplants and people with silicosis. However, this guideline did not include the diagnosis of LTBI in inmates [15].

The Center for Diseases Control and Prevention (CDC) use spoligotyping and 24-locus based MIRU-VNTR typing methods for TB genotyping of all M. tuberculosis isolates running at the US National TB Genotyping service (NTGS). TB genotyping data, when combined with epidemiologic information analyses, contributes to the identification of individuals with TB involved in a chain of recent transmission and distinguish recent infection (with development of active disease) from reactivation. In addition, it identifies individuals with TB disease involved in an outbreak [16]. Contact investigation is not only important for prevention of future cases [17] but also it might be more cost-effective when the number of patients is small rather than after a large outbreak has established [18], especially in high risk population groups such as inmates due to the presence of numerous TB risk factors.

Based on the aforementioned, the aims of our study were to estimate the prevalence of LTBI and active TB as well as to investigate TB transmission inside one prison.

Material and methods

Study design and setting

A cross-sectional study was conducted during three weeks (September–October, 2015) in La Esperanza prison, located in the rural area of the municipality of Guaduas in Colombia. This prison has three levels of security (maximum, medium and minimum) and is exclusively for adult males. The maximum prison capacity is 2.824 inmates. The prison population held during the study period was 2.630 inmates.

Eligibility criteria

Inmates older than 18 years of age, who freely accepted to participate and to sign a written consent form, were included in the present study. Individuals that did not accept to participate in the study or those that accepted but did not sign the informed consent form were not included.

Data collection

A general structured questionnaire was used to collect information from all prisoners (S1 and S2 questionnaires). The questionnaire included: age; ethnic group; nationality; education level; history of previous prison sentences; time and history of the current incarceration; history of prior TB (including date of last episode, treatment and outcome); previous contact with TB cases (outside and/or inside the prison); HIV status; number of inmates in same cell; and the presence of cough or expectoration of any duration.

Clinical evaluation

A physician registered the clinical history and conducted a physical examination to all inmates that reported respiratory symptoms of any duration. Specific query questions included: comorbidities (cancer, transplants, diabetes, rheumatoid arthritis, chronic obstructive pulmonary disease, chronic kidney disease, and any other immunosuppressive disease); use of drugs (inhaled, injected, or smoked) or alcohol, along with the quantity and time of consumption; fever; weight loss; night sweats; hemoptysis; BCG scar; weight and height.

Detection of latent TB infection (LTBI)

After the interview, trained nurses administered to inmates the tuberculin skin test (TST) (0.1 ml of purified protein derivate, PPD RT23–2 tuberculin units; Staten Serum Institute, Copenhagen, Denmark), following recommendations from US Center for Disease Control and Prevention (CDC) recommendations. The same nurse who injected PPD read the reaction 72 hours later and recorded the diameter of induration in millimeters. A TST was considered positive if the induration was ≥10 mm for immunocompetent persons and ≥ 5 mm for HIV positive patients [19].

Diagnosis of active TB

Sputum samples from inmates with RS of any duration were subject to sputum smear microscopic analyses and culture. In brief, three sputum samples were collected on consecutive days by specialized team personnel either by spontaneous sputum collection or induced sputum in cases were an inmate was not able to collect the sputum spontaneously. Both procedures were performed following protocols and biosafety measures described by Rueda et., al 2015 [20]. Sputum samples were transported and maintained at 4°C until processing in the laboratory of Mycobacteriology (UN-MICOBAC) at the Universidad Nacional de Colombia, Bogota, DC. Colombia. Sputum samples were processed by decontamination with Nacetyl-L-cysteine-sodium hydroxide method and the concentrated sediments were subjected to smear microscopy using the Ziehl–Neelsen (ZN) staining method [21]. Furthermore, the concentrated sediments of the first sample of each patient was cultured per duplicate on Lowenstein-Jensen (L/J) culture media and into one mycobacterial growth indicator tube (MGIT) incubated in MGIT 460 BACTEC instrument (BD Diagnostics, Sparks, MD, USA). All clinical isolates obtained from culture (solid and/or liquid), were identified as members of the Mycobacterium tuberculosis complex (MTBC) by using the BD MGITTBc Identification Test (TBc ID) according to the manufacturer’s instructions.

A pulmonary TB case was defined as a positive result in the smear microscopy by ZN staining method indicating the presence of Acid-Fast Bacilli (AFB) in the sputum. A negative result indicates that no acid-fast bacilli were seen in 100 fields and the individual tested was considered to have no smear positive pulmonary TB [22]. Furthermore, a patient with Mycobacterium tuberculosis complex identified from a sputum specimen by culture was considered a pulmonary TB case as well [5].

HIV testing for active TB cases

An immunoassay for qualitative detection of HIV-1/HIV-2 antibodies in human blood test was conducted for all TB cases diagnosed in the present study using HIV 1.2.O Rapid Test Cassette test (Whole Blood/Serum/Plasma) (ScreenItalia) following the manufacturer recommendations [23]. If a positive result was obtained in the first test, a confirmatory ELISA test was conducted in a reference hospital. HIV treatment, patient education and counselling support services was provided to HIV-positive individuals.

Contact tracing investigation

Contact-tracing investigation inside the prison was conducted during the study as soon as an inmate was diagnosed with active TB. First, we identified inmates who shared a cell with a TB case and assigned them as high-priority contact if they have been together for more than a week. In general inmates are confined in cells for more than 13 hours per day, an exposure time considered to be high. Second, all high priority contacts were evaluated to rule out active TB according to the procedures described above.

Drug susceptibility testing (DST)

M. tuberculosis isolates were subject to first line drug susceptibility testing using BACTEC MGIT 960 SIRE kit [Becton Dickinson, CA, USA] but only for isoniazid (INH) and rifampicin (RMP) following the manufacturer’s instructions [24]. In addition, GenoType MTBDRplus testing was conducted blinded from the phenotypic DST results according to the manufacturer's recommendations (http://www.hainlifescience.de).

TB genotyping and molecular data analysis

Genomic DNA was isolated from positive M. tuberculosis culture using the PureLinkGenomic DNA Mini Kit (Catalogue number K1820-01- Invitrogen) following the instruction of the manufacturer and quantified by using NanoDrop system. Spoligotyping molecular typing method was carried out using the commercially available membranes (Ocimum Biosolutions, Hyderabad, India) [25]. Standard 24-locus based MIRU-VNTR typing method was performed for all isolates using the methodology described by Supply et al., 2006. Briefly, the PCR products were separated onto a 2% agarose ethidium bromide-stained gel, and DNA bands were visualized and recorded under ultraviolet light using the Chemi Genius 2 Bio Imaging System (Syngene). Molecular weight of each fragment were determined using GeneSnap software Version 6.07 GeneTools (Syngene), and the corresponding repeat number was determined by using standard allelic table described by Supply et al., 2006.

Spoligotyping results were converted into octal codes and entered in SITVIT database to determine the spoligotyping lineage, sub-lineage and family distribution [26]. Phylogenetic lineage identification was performed by using online tools available from MIRU-VNTRplus website (www.miruvntrplus.org) [27]. Two patients were considered to have matching genotypes if their isolates had the same spoligotype and/or MIRU patterns. A genotype cluster was defined as two or more TB patients with matching genotype [16]. Molecular clustering analysis was determined by constructing a dendogram based on spoligotyping and MIRU-VNTR data.

TB genotyping results were combined with epidemiologic data analyses to establish if TB patients of the same genotype cluster (same spoligotype and MIRU patterns) were involved in the same chain of recent transmission. Information on epidemiologic links among TB patients from the same cluster were collected from the questionnaires mentioned above. Two patients said to have a known epidemiologic link if at least one of the following conditions apply. i) One of the patients named the other as a contact during one of the patient’s infectious period or ii) the two patients were at the same place at the same time during one of the patient’s infectious period. By definition, the infectious period for a sputum smear-positive case, extend from three months before the first positive smear or symptom onset; until two weeks after the time of the start of TB treatment or until the patient is placed into isolation or the date of the first negative smear that is followed by consistently negative smears. The beginning of the infectious period for a sputum smear-negative case was defined as one month before the onset of symptoms, the TB treatment began, the patient was placed into isolation; or two weeks after the TB treatment started or until isolation [18].

Statistical analysis

Epidemiological data were entered in Microsoft Access database. Discrepancies were checked against the crude data, inconsistencies were confirmed and missing data were collected again by personnel of the field team. Ten percent of questionnaires were randomly selected to ensure the quality and completeness of information. The database is attached as S1 Dataset.

The LTBI prevalence was calculated using as numerator the number of inmates with a PPD positive and as a denominator, the number of inmates in which TST was administered and read. The active TB prevalence rate was estimated using as numerator the number of TB cases diagnoses either by sputum smear and/or by culture plus the TB cases who were in TB treatment in the prison; and the denominator was the total number of inmates who were held in the prison. For both we estimated the point prevalence due to we were for three weeks.

Univariate analysis for baseline characteristics was performed using absolute and relative frequencies for quantitative variables. The age, time of incarceration and time with cough were reported as median with their interquartile ranges. We did a bivariate analysis to identify potential risk factors associated TB, and considered significant a p-value <0.05. Comparisons between medians and percentages were performed using Wilcoxon rank-sum test and Fisher’s exact test respectively. Statistical analysis was performed using STATA 11.1 (StataCorp, College Station, TX, USA). We could not do a multivariate analysis due to the low number of TB cases, and therefore it is not adequate to run it and to draw conclusions about risk factors.

Ethical approvals and considerations

This study was approved by the ethics committee of the School of Medicine (Universidad Nacional de Colombia), the governmental institution responsible for the administration and security of the national prison system (Instituto Nacional Penitenciario y Carcelario–INPEC); and by the prison were the study was conducted. Additionally, prisoners who accepted to participate voluntary in the present study signed a consent form that was previously explained by the field team. It is important to notice that there were separate consent forms for TB and HIV.

Those inmates that were not enrolled in the present study, but complained of respiratory symptoms or were positive for any pathology or medical condition during the clinical evaluation by the field team (physicians), were reported to the health care service at the prison in order to be treated. We also notified inmates diagnosed with TB and/or HIV to facilitate the initiation of the corresponding treatment and assistance. TB treatment was provided and monitored by the state health department (Secretaria de Salud de Cundinamarca). Inmates diagnosed with active TB were isolated in individual cells in order to prevent disease transmission.

To keep personal health information (PHI) confidential, all documents were protected by coding and password, and only some staff involved in the study had access to this data. The study team was absolutely prohibited from sharing information with people not related with the research.

Results

Prevalence of LTBI and active TB

From the total prison population, 76.8% (2,020/2,630) were screened using a structured questionnaire. TST was performed and read in 1,932/2,020 (95.6%), and in 1,306 (67.6%) of them TST was positive. Regarding to TB, 301/2,020 (15%) subjects were evaluated because they reported RS of any duration, and 24/301 (8.0%) of them were diagnosed with active TB (Fig 1). According to the DST results and following DOTS Colombian guidelines, the 24 new cases received anti-TB treatment and all of them responded well to therapy. When the study begun, three inmates were already isolated and under TB treatment, for a total of 27 TB cases within the prison. The overall prevalence of active TB was at the prison 1,026 cases /100,000 inmates (27/2630). Regarding to the contacts, none of the inmates that share the cell with a TB case (high priority contact) was diagnosed with active TB during the study.

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Fig 1. Flowchart of inmates included in the study.

*Refusal to participate, reading could not be performed and/or some inmates were involved in prison routine activities or outside permission.

https://doi.org/10.1371/journal.pone.0209895.g001

Univariate analysis of inmates with positive and negative TST results

The median age of inmates with a TST positive was 29 years and the median time of incarceration was 30 months. In addition, history of prior incarceration and a prior contact with a TB case was reported in 25% and 36.5% of inmates with a positive TST, respectively. Finally, all HIV infected patients were PPD positive (Table 1). The median size of induration among non-HIV inmates, including the TB cases was 10 (ranges 10–30) and among HIV patients was 11 (ranges 10–12). Statistical analysis of TST reaction showed that only age and no contact with a TB case had significant differences.

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Table 1. Baseline characteristics of inmates with positive and negative TST results.

https://doi.org/10.1371/journal.pone.0209895.t001

Univariate analysis of inmates with respiratory symptoms of any duration

The total number of inmates that reported respiratory symptoms (RS) of any duration (n = 301) was divided in two groups, inmates with and without TB (Table 2). The median age of 26 years was the same in both groups. Despite the median time of cough was the same in both groups, 10/24 (41.7%) of TB cases had less than 15 days of cough. Among those cases, 4/10 (40%) were sputum smear positive. 8/24 (33.3%) of TB cases presented abnormal breath sounds on lung auscultation. In the group of TB cases, 11/24 (45.8%) reported a contact with a TB case in the past, and they all said the contact was while in prison. Just 1/24 (4.2%) of the TB cases had a history of prior TB, who completed treatment in the same prison and the according to the record outcome was cured. This person had been in the prison for the last 24 months, which means that he got sick with TB in the same prison both times. Regarding to the HIV status, 1/24 (4.2%) cases of TB had prior diagnoses of HIV; and the others 23/24 TB cases were HIV negative (Table 2). Statistical analysis showed that not significant differences were found, except for abnormal breath sounds on lung auscultation.

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Table 2. Baseline characteristics of inmates with respiratory symptoms of any duration.

https://doi.org/10.1371/journal.pone.0209895.t002

Drug susceptibility

DST data was available for 19/24 (79%) of TB cases because we were able to recover 19 isolates. DST results showed that 18/19 (94.7%) of the strains were susceptible to all drugs, while only 1/19 (5.3%) was mono-resistant to INH by both methods used (Table 3).

Molecular data analysis

Spoligotyping results showed that all M. tuberculosis isolates belonged to the Euro American lineage and were classified within seven SITs numbers according to the international SITVIT database (SIT 33, 42, 47, 50, 53, 62, and 727). 16/19 (84.2%) isolates were found to be grouped into four clusters, containing two to eight isolates per cluster. The distribution of the spoligotype sub-lineage observed in this study were in order: Haarlem, 13/19 (68.4%) with the following family distribution: H3 with 8/13 (61.5%) and H1 with 5/13 (48.5%). Latin-American & Mediterranean (LAM), 5/19 (26.3%) with the following family distribution: LAM9 with 4/5 (80%) and LAM3 with 1/5 (20%). Finally, T superfamily 1/19 (5.3%) with the presence of T1.

Molecular cluster analysis based on 24-locus MIRU-VNTR genotype in conjunction with spoligotyping results showed that 6/19 (31.6%) isolates were found to be grouped into three clusters, containing two isolates each; and 13/19 (68.4%) isolates present a unique type (Fig 2). Epidemiological information analysis of each cluster showed that they were detected in different blocks of the prison. TB patients from cluster 1 as well as cluster 2 were sharing the same cell for three and eight weeks, respectively. TB patients from cluster 3 did not share the same cell but they all were incarcerated in the same block in nearby cells, and they declared to know each other. One patient of each cluster was sputum smear positive. Any patient of these clusters were HIV positive or have another comorbidity but illicit drug use, smoking and lost weight were common among them.

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Fig 2. Results obtained, including genotyping information by spoligotyping and 24-loci MIRU.

UPGMA-Tree, MIRUS-VNTR[24]: categorical (1), Spoligo: Categorical (1) *Clusters are labeled in red boxes.

https://doi.org/10.1371/journal.pone.0209895.g002

Discussion

The prevalence of LTB infection in this prison (67.6%) was higher than the estimated for the Americas general population (25%) [28], including Colombia [29]. The prevalence of TST positivity was similar to previous studies in three Brazilian prisons: 61.5% [30], 64.1% [31], and 73% [32]; and Malaysia, 88.8% [33]. In Colombia, a recent study reported a high prevalence of LTBI (77%) (first TST positive (66%) followed by a second TST positive (11%) in original negative inmates); which indicate the importance of the second TST [7]. In our study, we did not perform a second TST for inmates with a negative TST result in the first administration (32.9%), which may increase the overall prevalence of LTBI in the present study. In contrast, our study reported prevalence of LTBI in La Esperanza prison higher than other studies in prisons of some low/middle income countries, where the TST prevalence was 15–33% and 49% for Brazil [34, 35], 48% in Pakistan [36], and 52.4% in Nigeria [37].

The prevalence of LTB infection may be influenced by a prior BCG vaccination, which is known to cause false-positive TST results. However, two meta-analysis showed that age at vaccination is an important modifier in the effect of BCG vaccination on TST reactivity. The effect on TST of BCG received during infancy is minimal, especially after ≥10 years post-vaccination [38, 39]. Moreover, BCG vaccination after infancy was associated with an increased risk of TST reactivity in the first 15 years after vaccination [38]. It is important to notice that in Colombia, BCG vaccine is administered at the time of birth [40, 41] and the national vaccine coverage is around 90% according to WHO vaccine-preventable diseases monitoring system [42]. In our study, all inmates were ≥18 years of age and because of the age of BCG vaccination in Colombia and the above explanation effect of BCG vaccination on TST, let us to argue that the high prevalence of LTB infection in this study may not be influenced by BCG vaccination.

In Colombia LTBI treatment with isoniazid is not recommended for immunocompetent persons with a positive TST result, however the importance for clinical follow-up should be highlighted, especially in HIV-infected people which are known to be in high risk to become active TB [7, 9]. In our study, four HIV-infected patients with a positive TST result were notified to the prison health office in order to study for active TB. A recent study conducted in Colombia, reported an incidence of LTBI during two years of follow-up of negative TST prisoners at baseline of 29.5%, which highlights the importance to follow-up those negative TST prisoners [43] with a number needed to screen of 3.4 people to detect one positive converter among those negative TST at baseline.

In the present study, the prevalence of active TB was 1,026 cases per 100,000, value 38.3 times higher than the Colombian general population (26.8 cases per 100,000) as reported for 2017 [44]. This is similar to the literature that has reported to be higher than the general population, regardless to the economic status and the population TB burden of the country [3]. For instance, in prisons from Ethiopia (3 times), Turkey (4 times), Bangladesh (4 times), South Africa (9 times), and Zambia (18 times) are higher than the general population, respectively [22, 4548].

In South America, Brazil reports a prevalence of active TB in inmates that range between 21.4 to 80 times higher than the Brazilian general population [31, 32, 49, 50]. In Colombia, a study conducted in a prison in the capital (Bogota DC) in 2010, reported a prevalence that was 3.8 times higher than in the Colombian general population [4]; which was substantially lower than the reported in the present study. Another study, in 2010 and 2011 described a TB incidence among inmates was 3.18 and 4.5 fold higher than it was within the general population [6]. A recent study related with the incidence of active TB and conducted in four different prisons in Colombia reported an estimate incidence, which was 20 times higher than the general population. The high prevalence of active TB found by Rueda and in our study et al. [5] may be explained by the change of the respiratory symptoms criteria of 15 days or more for any duration, and the combined use of methods, including the MGIT liquid culture.

Regarding to the duration of symptoms, Rueda et al., 2013 founded that 25% of 72 cases had less than 15 days of respiratory symptoms and 66.7% of them were sputum smear positive and probably infectious [5]. In our study, we found that 41.7% of the TB cases were people with respiratory symptoms with a duration of less than 15 days, and 4 (40%) of them were sputum smear positive. In contrast, the WHO screening algorithm recommends that all people with cough lasting longer than 2 weeks should be investigated for TB in immunocompetent people [51]. If we had followed this recommendation, we could not be capable to detect 41.7% of the TB cases.

In addition, another important criterion for the diagnosis of TB in prisons is the importance of using sputum culture. In the present study, 41.7% of TB cases were detected only by culture. Similar results were obtained in a study conducted in four Colombian prisons, were 23.6% of 72 cases were sputum smear negative and culture positive. Despite these results, this diagnostic method is not well implemented in the Colombian prison system; regardless of the national and international recommendations [5]. In our study, just one case of confection HIV/TB was detected; however, there were three additional HIV infected patients in the prison that should be monitored because all of them had a positive TST result and probably they are in a higher risk of rapid progression to active TB.

DST results showed that only one isolated was mono-resistant to isoniazid and no cases of MDR-TB were detected. A retrospective study conducted in Colombia, in which they analyzed the susceptibility profile of 72 isolates obtained from inmates from different prisons in Colombia reported that two TB cases were mono-resistant to isoniazid and two were MDR-TB; the latter two were previously treated cases [52]. Other study conducted in four Colombian prisons that evaluate the susceptibility profile of 72 isolates, reported just one TB case was mono-resistant to isoniazid and no MDR-TB cases were founded [5].

Spoligotyping data analysis showed that sub-lineages Haarlem (68.4%) and LAM (26.3%) were the most prevalent, accounting for 94.7% of all strains. Similar results were reported in Latin American countries, although LAM is the most prevalent reported sub-lineage in most countries. Brazil (LAM: 53.7% y Haarlem: 7%); Venezuela (LAM: 53%, Haarlem: 5%); and Peru (LAM: 28.3%, Haarlem: 28%), respectively [5355].

In Colombia, two recent studies which evaluated strains from different regions of the country reported a predominance of those two sub-lineages as well: (LAM, 39.9% and Haarlem, 19%) and (Haarlem, 44.3% and LAM, 38.5%), respectively [56, 57]. However, in the second study conducted in Medellin, Cali and Popayan cities, Haarlem was the most common as we reported in our study. Regarding to the sub-lineage distribution in prison population, a study conducted in Brazil found that LAM (40%) was the most common followed by T superfamily (22%) and Haarlem (17.5%) [50]. One study conducted in four Colombian prisons (Medellin and Bucaramanga cities) reported LAM and Haarlem were the most prevalent sub-lineages (LAM: 56.8% and Haarlem: 36.4%) [58] as we reported here.

A combination of spoligotyping and 24-loci MIRUs has been successfully used in resources- limited settings to predict “potential” transmission chains [5961]. In addition, clustering reflecting recent and active transmission of TB depends on study duration [62]. We were unable to identify the index TB case and the secondary case in each cluster because the study’s short time duration. However, the presence of known epidemiological links in each cluster, the prolonged time of exposure and the fact that one patient of each cluster was sputum smear positive and presumably highly infectious to other [18] could be a strong suggestion of recent transmission among inmates of these three clusters. The low proportion of clustered isolates (31.5%) in La Esperanza prison may indicate that TB in this prison was mainly caused by strains imported by inmates or endogenous reactivation [62, 63].

The overall goal of TB contact investigation is to halt the TB transmission of M. tuberculosis by the identification, isolation and treatment of a person with active TB; and to identify contacts with active TB or LTBI [17, 18, 64]. In prison settings, this approach should be undertaken promptly after an inmate with active TB has been identified [64]. Despite the investigation with contacts showed that none of the high-priority contacts (inmate that share the cell with a TB case) were diagnosed with active TB, interestingly, 46% of TB cases in the present study reported had been in contact only with TB cases while they have been in prison. It is important to mention that this is a cross-sectional study that does not allow us to conclude about the impact of contact sharing with an index case in prison, because that needs a cohort study for at least two years after the contact with the TB case or the TST conversion to evaluate TB transmission.

In addition, contact investigation will prevent new cases and it might be more cost-effective when the number of patients is small rather than after a large outbreak has established [17, 18]. In our study, we found that 6 out of 24 TB cases detected were in a cluster and had an epidemiological link. A published retrospective cohort analyses of TB genotype clusters showed that the two most important factors that predicted outbreaks were the presence of at least one patient who reported homelessness, excess alcohol use, illicit drugs use, or incarceration, and rapid initial cluster growth. That study also suggest that if recent transmission of TB occurs among patients with the above-described social risk factors, the risk of a TB outbreak increases [18]. In prisons, several papers have shown the importance of contact tracing in this environment due to the higher risk of LTBI among contacts of index cases [65, 66] and the high numbers of TB cases detected when active case finding program is implemented [67].

Among TB cases, just one of them had a history of prior TB and its last episode was just 10 months. Despite this patient completed his last treatment and the outcome was cure. We could not determine if the second episode of a TB patient diagnosed in the present study was due to a reactivation or an exogenous re-infection after curative treatment. We did not have the isolate from the first episode in order to genotype and compare the patterns. This is important because this person has been in the prison for the last 24 months, which means that he was sick with TB in the same prison both times. One explanation for this relapse could be that he had cavities that we could no detect because in prisons there is limited access to chest x rays, or he became infected during his incarceration.

One of the most important limitations of this study was that during the screening of the LTBI, we did not perform the two-steps TST when the initial TST was negative. Certain individuals with M. tuberculosis infection will have a negative TST when tested many years after the initial infection. The initial skin test, probably stimulate or “boost” to the immune system’s ability to react to tuberculin and cause a positive reaction to subsequent tests [14].

Another important limitation was that we did not performed radiography-based screening. The accomplishment of this screening in a health institution outside the prison was not possible due to security matters and budget. Because of the importance of early TB diagnosis in setting such as prisons, chest x-ray could help in the detection of active TB cases in the prison, and probably we could underestimate the active TB prevalence.

Regarding contact investigation activities, we could not evaluate other contacts inside the prison such as inmates in the same block. It can be explained by the fact that the number of inmates per block was high (~203–265 inmates) and we had limited resources. That investigation will imply time, logistics and financial resources. In addition, we did not evaluate prison staff, family members or visitors which could increase the number of TB cases detected and consequently increase the prevalence of active TB. Recently, one study reported that security guards may serve as a bridge population for TB transmission between prison and community [68].

In conclusion, TST positivity and active TB prevalence were higher than in the Colombian general population. Active TB case finding will increase the detection of new cases, we were able to detect 24 new cases in 3 weeks by active search finding. Detection, isolation and appropriate treatment of active TB cases would help to halt TB transmission in this prison. We found that TB patients from three clusters of two patients each with matching genotypes had epidemiological link. These findings suggest the need to implement an effective TB control program in prisons in order to prevent and reduce the TB prevalence, otherwise the public health problem of TB in these settings will remain and/or increase.

Acknowledgments

The authors would like to acknowledge to the national agency for the administration of the Colombian prison system (INPEC) and the director and staff of the prison. We would like to thank the health authority (Secretaria de Salud de Cundinamarca) for its financial support and collaboration in the field and laboratory activities. We want to thank all inmates who accepted to participate in the present study. The authors are grateful to the field team and the department of Microbiology and the MICOBAC-UN research group (Universidad Nacional de Colombia).

References

  1. 1. Bone AA A.; Grzemska M.; Kimerling M.; Kluge H.; Levy M.; Portaels F.; Raviglione M.; Varaine F. Tuberculosis control in prisons: A Manual for Programme Managers. Geneva: World Health Organization (WHO); 2000.
  2. 2. Dara M GM, Kimerling M, Reyes H, Zagorskiy A. Guidelines for control of tuberculosis in prisons: USAID; 2009.
  3. 3. Dara M, Acosta CD, Melchers NV, Al-Darraji HA, Chorgoliani D, Reyes H, et al. Tuberculosis control in prisons: current situation and research gaps. International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases. 2015;32:111–7. Epub 2015/03/27. pmid:25809766.
  4. 4. Murcia M PLCA, Navarrete M, Knudson A, Sánchez R, Hernández J, Salas S, López L.E. Tuberculosis in prison inmates in La Picota prison in Bogotá, Colombia. Médicas UIS;2012.
  5. 5. Rueda ZV, López L., Vélez L. A., Marín D., Giraldo M. R., Pulido H., … Arbeláez M. P. High Incidence of Tuberculosis, Low Sensitivity of Current Diagnostic Scheme and Prolonged Culture Positivity in Four Colombian Prisons. A Cohort Study. PLoS ONE: ; 2013. pmid:24278293
  6. 6. Castaneda-Hernandez DM, Martinez-Ramirez JE, Bolivar-Mejia A, Rodriguez-Morales AJ. Differences in TB incidence between prison and general populations, Pereira, Colombia, 2010–2011. Tuberculosis (Edinburgh, Scotland). 2013;93(3):275–6. Epub 2013/03/12. pmid:23473627.
  7. 7. Rueda ZV, Arroyave L, Marin D, Lopez L, Keynan Y, Giraldo MR, et al. High prevalence and risk factors associated with latent tuberculous infection in two Colombian prisons. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2014;18(10):1166–71. Epub 2014/09/14. pmid:25216829.
  8. 8. Research IfCP. World Prison Brief data—Colombia. 2017.
  9. 9. Baussano. Tuberculosis Incidence in Prisons: A Systematic Review. Baussano I, Williams BG, Nunn P, Beggiato , Fedeli U et al. (2010). Tuberculosis Incidence in Prisons: A Systematic Review. PLOS Med 7: e1000381. pmid:21203587.2010.
  10. 10. WHO Guidelines Approved by the Guidelines Review Committee. In: th, editor. Treatment of Tuberculosis: Guidelines. Geneva: World Health Organization World Health Organization.; 2010.
  11. 11. Cain KP, McCarthy KD, Heilig CM, Monkongdee P, Tasaneeyapan T, Kanara N, et al. An algorithm for tuberculosis screening and diagnosis in people with HIV. The New England journal of medicine. 2010;362(8):707–16. Epub 2010/02/26. pmid:20181972.
  12. 12. Huerga H, Varaine F, Okwaro E, Bastard M, Ardizzoni E, Sitienei J, et al. Performance of the 2007 WHO algorithm to diagnose smear-negative pulmonary tuberculosis in a HIV prevalent setting. PloS one. 2012;7(12):e51336. Epub 2013/01/04. pmid:23284681; PubMed Central PMCID: PMCPMC3526594.
  13. 13. Koole O, Thai S, Khun KE, Pe R, van Griensven J, Apers L, et al. Evaluation of the 2007 WHO guideline to improve the diagnosis of tuberculosis in ambulatory HIV-positive adults. PloS one. 2011;6(4):e18502. Epub 2011/04/16. pmid:21494694; PubMed Central PMCID: PMCPMC3071837.
  14. 14. Prisons FBo. Management of Tuberculosis. Clinical Practice Guidelines. BOP. 20105.
  15. 15. Circular Externa Numero 007 de 2015. Ministerio de Salud y Proteccion Social; 2015.
  16. 16. Tuberculosis Genotyping. Center for Disease Control and prevention (CDC).2012.
  17. 17. Guidelines for the investigation of contacts of persons with infectious tuberculosis. Recommendations from the National Tuberculosis Controllers Association and CDC. MMWR Recommendations and reports: Morbidity and mortality weekly report Recommendations and reports. 2005;54(Rr-15):1–47. Epub 2005/12/17. pmid:16357823.
  18. 18. Guide to the Application of Genotyping to Tuberculosis Prevention and Control. National TB Controllers Association / CDC Advisory Group on Tuberculosis Genotyping; 2004.
  19. 19. Tuberculin skin testing for TB. Centers for Disease Control and Prevention;2012.
  20. 20. Rueda ZV, Lopez L, Marin D, Velez LA, Arbelaez MP. Sputum induction is a safe procedure to use in prisoners and MGIT is the best culture method to diagnose tuberculosis in prisons: a cohort study. International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases. 2015;33:82–8. Epub 2015/01/13. pmid:25578262.
  21. 21. Cheesbrough M. Microscopical techniques used in microbiology in: District laboratory practice in tropical countries part 2. Cambridge University Press UK, Cambridge;2006.
  22. 22. Fuge TG, Ayanto SY. Prevalence of smear positive pulmonary tuberculosis and associated risk factors among prisoners in Hadiya Zone prison, Southern Ethiopia. BMC research notes. 2016;9:201. Epub 2016/04/04. pmid:27038898; PubMed Central PMCID: PMCPMC4818871.
  23. 23. ScreenItalia. HIV 1.2.O Rapid Test Cassette (Whole Blood/Serum/Plasma) 2016. Available from: http://www.screenitalia.it/hiv-rapid-test/.
  24. 24. BD. BACTEC MGIT 960 SIRE Kit For the Antimycobacterial Susceptibility Testing of Mycobacterium tuberculosis. 2016.
  25. 25. Kamerbeek J, Schouls L, Kolk A, van Agterveld M, van Soolingen D, Kuijper S, et al. Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology. Journal of clinical microbiology. 1997;35(4):907–14. Epub 1997/04/01. pmid:9157152; PubMed Central PMCID: PMCPMC229700.
  26. 26. Brudey K, Driscoll JR, Rigouts L, Prodinger WM, Gori A, Al-Hajoj SA, et al. Mycobacterium tuberculosis complex genetic diversity: mining the fourth international spoligotyping database (SpolDB4) for classification, population genetics and epidemiology. BMC microbiology. 2006;6:23. Epub 2006/03/08. pmid:16519816; PubMed Central PMCID: PMCPMC1468417.
  27. 27. Weniger T, Krawczyk J, Supply P, Niemann S, Harmsen D. MIRU-VNTRplus: a web tool for polyphasic genotyping of Mycobacterium tuberculosis complex bacteria. Nucleic acids research. 2010;38(Web Server issue):W326–31. Epub 2010/05/12. pmid:20457747; PubMed Central PMCID: PMCPMC2896200.
  28. 28. Sudre P, ten Dam G, Kochi A. Tuberculosis: a global overview of the situation today. Bulletin of the World Health Organization. 1992;70(2):149–59. Epub 1992/01/01. pmid:1600578; PubMed Central PMCID: PMCPMC2393290.
  29. 29. del Corral H, Paris SC, Marin ND, Marin DM, Lopez L, Henao HM, et al. IFNgamma response to Mycobacterium tuberculosis, risk of infection and disease in household contacts of tuberculosis patients in Colombia. PloS one. 2009;4(12):e8257. Epub 2009/12/17. pmid:20011589; PubMed Central PMCID: PMCPMC2788133.
  30. 30. Lemos AC, Matos ED, Bittencourt CN. Prevalence of active and latent TB among inmates in a prison hospital in Bahia, Brazil. Jornal brasileiro de pneumologia: publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia. 2009;35(1):63–8. Epub 2009/02/17. pmid:19219332.
  31. 31. Abrahao RM, Nogueira PA, Malucelli MI. Tuberculosis in county jail prisoners in the western sector of the city of Sao Paulo, brazil. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2006;10(2):203–8. Epub 2006/02/28. pmid:16499262.
  32. 32. Nogueira PA, Abrahao RM, Galesi VM. Tuberculosis and latent tuberculosis in prison inmates. Revista de saude publica. 2012;46(1):119–27. Epub 2012/01/19. pmid:22252791.
  33. 33. Al-Darraji HA, Kamarulzaman A, Altice FL. Latent tuberculosis infection in a Malaysian prison: implications for a comprehensive integrated control program in prisons. BMC public health. 2014;14:22. Epub 2014/01/11. pmid:24405607; PubMed Central PMCID: PMCPMC3907782.
  34. 34. Carbone Ada S, Paiao DS, Sgarbi RV, Lemos EF, Cazanti RF, Ota MM, et al. Active and latent tuberculosis in Brazilian correctional facilities: a cross-sectional study. BMC infectious diseases. 2015;15:24. Epub 2015/01/23. pmid:25608746; PubMed Central PMCID: PMCPMC4307675.
  35. 35. Estevan AO, Oliveira SM, Croda J. Active and latent tuberculosis in prisoners in the Central-West Region of Brazil. Revista da Sociedade Brasileira de Medicina Tropical. 2013;46(4):515–8. Epub 2013/08/02. pmid:23904084.
  36. 36. Hussain H, Akhtar S, Nanan D. Prevalence of and risk factors associated with Mycobacterium tuberculosis infection in prisoners, North West Frontier Province, Pakistan. International journal of epidemiology. 2003;32(5):794–9. Epub 2003/10/16. pmid:14559752.
  37. 37. Chigbu LN, Iroegbu CU. Incidence and spread of Mycobacterium tuberculosis-associated infection among Aba Federal prison inmates in Nigeria. Journal of health, population, and nutrition. 2010;28(4):327–32. Epub 2010/09/10. pmid:20824975; PubMed Central PMCID: PMCPMC2965323.
  38. 38. Mancuso JD, Mody RM, Olsen CH, Harrison LH, Santosham M, Aronson NE. The Long-term Effect of Bacille Calmette-Guerin Vaccination on Tuberculin Skin Testing: A 55-Year Follow-Up Study. Chest. 2017;152(2):282–94. Epub 2017/01/15. pmid:28087302.
  39. 39. Farhat M, Greenaway C, Pai M, Menzies D. False-positive tuberculin skin tests: what is the absolute effect of BCG and non-tuberculous mycobacteria? The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2006;10(11):1192–204. Epub 2006/11/30. pmid:17131776.
  40. 40. Arbelaez MP, Gaviria MB, Franco A, Restrepo R, Hincapie D, Blas E. Tuberculosis control and managed competition in Colombia. The International journal of health planning and management. 2004;19 Suppl 1:S25–43. Epub 2005/02/03. pmid:15686059.
  41. 41. Esquemas de Vaunación. Ministerio de Salud y Proteccion Social; 2018.
  42. 42. WHO vaccine-preventable diseases: monitoring system. 2018 global summary. World Health Organization; 2008.
  43. 43. Arroyave L, Keynan Y, Lopez L, Marin D, Arbelaez MP, Rueda ZV. Negative latent tuberculosis at time of incarceration: identifying a very high-risk group for infection. Epidemiology and infection. 2017;145(12):2491–9. Epub 2017/08/02. pmid:28756786.
  44. 44. Informe de evento tuberculosis, Colombia, 2017. Instituto Nacional de Salud; 2018. p. 1–21.
  45. 45. Ongen G, Borekci S, Icmeli OS, Birgen N, Karagul G, Akgun S, et al. Pulmonary tuberculosis incidence in Turkish prisons: importance of screening and case finding strategies. Tuberkuloz ve toraks. 2013;61(1):21–7. Epub 2013/04/16. pmid:23581261.
  46. 46. Banu S, Hossain A, Uddin MK, Uddin MR, Ahmed T, Khatun R, et al. Pulmonary tuberculosis and drug resistance in Dhaka central jail, the largest prison in Bangladesh. PloS one. 2010;5(5):e10759. Epub 2010/05/28. pmid:20505826; PubMed Central PMCID: PMCPMC2874010.
  47. 47. Nyasulu P, Mogoere S, Umanah T, Setswe G. Determinants of Pulmonary Tuberculosis among Inmates at Mangaung Maximum Correctional Facility in Bloemfontein, South Africa. Tuberculosis research and treatment. 2015;2015:752709. Epub 2015/04/14. pmid:25866677; PubMed Central PMCID: PMCPMC4381858.
  48. 48. Maggard KR, Hatwiinda S, Harris JB, Phiri W, Kruuner A, Kaunda K, et al. Screening for tuberculosis and testing for human immunodeficiency virus in Zambian prisons. Bulletin of the World Health Organization. 2015;93(2):93–101. Epub 2015/04/18. pmid:25883402; PubMed Central PMCID: PMCPMC4339958.
  49. 49. Sanchez A, Gerhardt G, Natal S, Capone D, Espinola A, Costa W, et al. Prevalence of pulmonary tuberculosis and comparative evaluation of screening strategies in a Brazilian prison. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2005;9(6):633–9. Epub 2005/06/24. pmid:15971390.
  50. 50. Kuhleis D, Ribeiro AW, Costa ER, Cafrune PI, Schmid KB, Costa LL, et al. Tuberculosis in a southern Brazilian prison. Memorias do Instituto Oswaldo Cruz. 2012;107(7):909–15. Epub 2012/11/14. pmid:23147148.
  51. 51. WHO Guidelines Approved by the Guidelines Review Committee. Systematic Screening for Active Tuberculosis: Principles and Recommendations. Geneva: World Health Organization Copyright (c) World Health Organization 2013.; 2013.
  52. 52. Gomez IT, Llerena CR, Zabaleta AP. [Tuberculosis and drug-resistance tuberculosis in prisoners. Colombia, 2010–2012]. Revista de salud publica (Bogota, Colombia). 2015;17(1):97–105. Epub 2015/10/07. pmid:26437704.
  53. 53. Miranda SS, Carvalho Wda S, Suffys PN, Kritski AL, Oliveira M, Zarate N, et al. Spoligotyping of clinical Mycobacterium tuberculosis isolates from the state of Minas Gerais, Brazil. Memorias do Instituto Oswaldo Cruz. 2011;106(3):267–73. Epub 2011/06/10. pmid:21655812.
  54. 54. Abadia E, Sequera M, Ortega D, Mendez MV, Escalona A, Da Mata O, et al. Mycobacterium tuberculosis ecology in Venezuela: epidemiologic correlates of common spoligotypes and a large clonal cluster defined by MIRU-VNTR-24. BMC infectious diseases. 2009;9:122. Epub 2009/08/08. pmid:19660112; PubMed Central PMCID: PMCPMC2739208.
  55. 55. Sheen P, Couvin D, Grandjean L, Zimic M, Dominguez M, Luna G, et al. Genetic diversity of Mycobacterium tuberculosis in Peru and exploration of phylogenetic associations with drug resistance. PloS one. 2013;8(6):e65873. Epub 2013/07/05. pmid:23826083; PubMed Central PMCID: PMCPMC3691179.
  56. 56. Puerto G, Erazo L, Wintaco M, Castro C, Ribon W, Guerrero MI. Mycobacterium tuberculosis Genotypes Determined by Spoligotyping to Be Circulating in Colombia between 1999 and 2012 and Their Possible Associations with Transmission and Susceptibility to First-Line Drugs. PloS one. 2015;10(6):e0124308. Epub 2015/06/13. pmid:26066494; PubMed Central PMCID: PMCPMC4465906.
  57. 57. Realpe T, Correa N, Rozo JC, Ferro BE, Gomez V, Zapata E, et al. Population structure among mycobacterium tuberculosis isolates from pulmonary tuberculosis patients in Colombia. PloS one. 2014;9(4):e93848. Epub 2014/04/22. pmid:24747767; PubMed Central PMCID: PMCPMC3991582.
  58. 58. Rueda Z. Tuberculosis en centros penitenciarios: una oportunidad para aprender epidemiología. In: Medellín UdA, editor. Facultad Nacional de Salud Pública Héctor Abad Gómez: Tesis doctoral, pagina 77–83; 2013.
  59. 59. Couvin D, Rastogi N. The establishment of databases on circulating genotypes of Mycobacterium tuberculosis complex and web tools for an effective response to better monitor, understand and control the tuberculosis epidemic worldwide2014. 36–48 (English) p.
  60. 60. Jagielski T, Minias A, van Ingen J, Rastogi N, Brzostek A, Zaczek A, et al. Methodological and Clinical Aspects of the Molecular Epidemiology of Mycobacterium tuberculosis and Other Mycobacteria. Clinical microbiology reviews. 2016;29(2):239–90. Epub 2016/02/26. pmid:26912567; PubMed Central PMCID: PMCPMC4786889.
  61. 61. Medeiros TF, Nogueira CL, Prim RI, Scheffer MC, Alves EV, Rovaris DB, et al. Molecular epidemiology of Mycobacterium tuberculosis strains from prison populations in Santa Catarina, Southern Brazil. Infection, genetics and evolution: journal of molecular epidemiology and evolutionary genetics in infectious diseases. 2018;58:34–9. Epub 2017/12/19. pmid:29248797.
  62. 62. Toungoussova OS, Mariandyshev A, Bjune G, Sandven P, Caugant DA. Molecular epidemiology and drug resistance of Mycobacterium tuberculosis isolates in the Archangel prison in Russia: predominance of the W-Beijing clone family. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2003;37(5):665–72. Epub 2003/08/28. pmid:12942398.
  63. 63. Moreira-Oliveira MS, Oliveira HB, Pace F, Stehling EG, Rocha MM, Aily DC, et al. Molecular genotyping and epidemiology of Mycobacterium tuberculosis isolates obtained from inmates of correctional institutions of Campinas, Southeast Brazil. The Brazilian journal of infectious diseases: an official publication of the Brazilian Society of Infectious Diseases. 2008;12(6):487–93. Epub 2009/03/17. pmid:19287836.
  64. 64. Center FJCNT. Tuberculosis Contact Investigation in Jail: A Facilitator Guide. 2008.
  65. 65. Chee CBE, Teleman MD, Boudville IC, Wang YT. Contact screening and latent TB infection treatment in Singapore correctional facilities. The International Journal of Tuberculosis and Lung Disease. 2005;9(11):1248–52. pmid:16333933
  66. 66. Lobato MN, Kimerling ME, Taylor Z. Time for tuberculosis contact tracing in correctional facilities? The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2005;9(11):1179. Epub 2005/12/13. pmid:16333921.
  67. 67. Assefzadeh M, Barghi RG, Shahidi Sh S. Tuberculosis case—finding and treatment in the central prison of Qazvin province, Islamic Republic of Iran. Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit. 2009;15(2):258–63. Epub 2009/06/27. pmid:19554970.
  68. 68. Arroyave L, Keynan Y, Sanchez D, López L, Marin D, Posada M, et al. Guards in Prisons: A Risk Group for Latent Tuberculosis Infection. Journal of Immigrant and Minority Health. 2018. pmid:29728811