Figures
Abstract
Background
We aimed to determine the prevalence of pulmonary tuberculosis (TB) amongst the adult population in 2010–2011 in Pakistan.
Method
A nationwide cross-sectional survey with multistage cluster sampling was conducted among adults (≥15 years) in 95 clusters in 2010–2011. All consenting participants were screened for cough and by chest X-ray. Participants with presumptive TB submitted two sputum samples for smear microscopy, culture, and molecular testing if needed. The TB prevalence estimates were adjusted for missing data and the cluster design.
Result
Of 131,329 eligible individuals, 105,913 (81%) participated in the survey, of whom 10,471 (9.9%) were eligible for sputum examination. We found 341 bacteriologically positive TB cases of whom 233 had sputum smear-positive TB. The adjusted prevalence estimates for smear and bacteriologically positive TB were 270/100,000 (95% confidence interval (CI) 217–323), and 398/100,000 (95% CI 333–463), respectively. Only 61% of the diagnosed TB cases screened positive on symptoms (cough >2wks), whereas the other TB cases were detected based on X-ray abnormalities. The TB prevalence increased with age and was 1.8 times higher among men than women. The prevalence-to-notification ratio of smear-positive TB was 3.1 (95% CI 2.5–3.7), was higher among men than women, and increased with age.
Citation: Qadeer E, Fatima R, Yaqoob A, Tahseen S, Ul Haq M, Ghafoor A, et al. (2016) Population Based National Tuberculosis Prevalence Survey among Adults (>15 Years) in Pakistan, 2010–2011. PLoS ONE 11(2): e0148293. https://doi.org/10.1371/journal.pone.0148293
Editor: Kebede Deribe, Brighton and Sussex Medical School, UNITED KINGDOM
Received: August 18, 2015; Accepted: January 15, 2016; Published: February 10, 2016
Copyright: © 2016 Qadeer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Ethical restrictions prohibit the authors from making the minimal data set publicly available now but will be available on request to edine.tiemersma@kncvtbc.org.
Funding: This study was made possible by the generous support of the American people through the United States Agency for International Development (USAID). The contents are the responsibility of TB CARE I and do not necessarily reflect the views of USAID or the United States Government. KIT Biomedical Research provided support in the form of a salary for author MS, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have the following interests. Masja Straetemans is employed by KIT Biomedical Research. There are no patents, products in development or marketed products to declare. This does not alter the authors' adherence to all the PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors.
Introduction
Tuberculosis (TB) is a global health problem. In 2014, an estimated 9.6 million people developed TB and 1.5 million died from the disease [1]. Currently, 22 high burden countries account for over 80% of world’s TB cases. Notification data in these countries often do not reflect the actual number of cases in the country due to incomplete coverage and absence of appropriate surveillance systems. Thus, direct measurement of the burden of disease through TB prevalence surveys remains key for understanding the spread and extent of the disease and aid in developing appropriate control measures in these settings [1,2].
In terms of absolute numbers of TB cases, in 2011, Pakistan ranked 5th among 22 high burden countries. The estimated incidence and prevalence rates of all forms of TB were 231 (95% confidence interval (CI), 189–277) and 364 (95%CI, 154–611) per 100,000 population, respectively [3].
Effective implementation of the directly observed treatment, short course (DOTS) strategy recommended by the World Health Organization (WHO) started after revival of the National TB Control Program (NTP) in the year 2000, but was limited largely to the public sector services that fall under the responsibility of the NTP. The public sector has remained the main source of DOTS services since full DOTS coverage of the public sector was reached in 2005, but the estimated case detection rate remained low at 64%. A recent inventory study in Pakistan provided evidence that only 32% of diagnosed TB cases were notified to NTP, while the observed under-reporting of detected cases was 27% [4].
Prevalence estimates presented by the World Health Organization (WHO) for Pakistan were based on indirect estimation from notification data, assumptions about duration of TB disease, and expert opinion [3], because there was no recent nationally representative TB prevalence estimate available. The last TB prevalence survey was conducted in 1987–1989 [5], while since then, the TB epidemic in Pakistan has evolved and TB health services provision has improved [6]. To get a more precise understanding of the current TB burden, there was a need to conduct a new TB prevalence survey [7]. The primary objective of the survey was to estimate the prevalence of bacteriologically positive pulmonary TB amongst the adult population (≥15years) in a nationwide representative sample.
Methodology
Study setting and population
The estimated population size of Pakistan is about 182 million; approximately one-third being children (<15 years).The Gross Domestic Product (GDP) is increasing and was $4,500 in 2013 [8]. The health system of Pakistan is generally not strong and services are highly unregulated. Communicable diseases are still the leading cause of morbidity and mortality [9]; non-communicable diseases are on rise. While preventive care is mainly provided by the public sector, [10], the private sector is large and caters for about 75% of the population’s curative primary health care needs [11]. TB services are integrated into the primary health care system at district level and are delivered by public and private chest clinics in tertiary care, district and sub-district hospitals as well as rural health centres and basic health units. Through NTP, there is a vertical reporting, monitoring and supervision system in place.
The previous TB prevalence survey was conducted between 1987 and 1989 [5] and included symptom screening, chest X-ray and sputum smear microscopy. This third nationwide survey was stratified by province and by urban and rural areas, but the exact sampling strategy was not documented and remains unclear. In 41 clusters with approximately 989 individuals per cluster, 40,549 participants were included, resulting in a smear positive TB prevalence of 170/100,000 population. It is unclear how this estimate was obtained exactly.
The 4th nationwide TB prevalence survey was conducted between August 2010 and December 2011. This was a cross sectional household-based survey using multistage cluster sampling following WHO guidance [2] conducted in 95 clusters with an intended sample size of 1,400 adults (aged > = 15 years) per cluster. The primary sampling unit consisted of tehsils (sub-districts).
A target sample size of 133,000 enumerated adults (> = 15 years) was calculated assuming an expected prevalence of smear-positive pulmonary TB of 213/100,000 population, a design effect of 2.5, a relative precision of 20%, and an expected participation rate of 85% [2]. Ninety-five clusters were sampled by probability proportional to the estimated tehsil population size in 2010 projected from 1998 census data (Federal Bureau of Statistics (FBS), 1998, unpublished data). A nationwide survey was planned but there was a need to exclude the following areas from the sampling frame because of serious security threats: the Federally Administrative Tribal Areas, district Dera-Bugti in Balochistan and 17 tehsils of Khyber Pakhtunkhwa, which together are inhabited by 6.4% of the country’s population (FBS, 2010, unpublished data). Five extra clusters were selected as backup, should the security situation in one of the 95 selected clusters deteriorate during the field work. The sample was not stratified.
Within each cluster, one union council (the lowest administrative division of Pakistan, UC) was randomly selected by using a random number table. During the fieldwork sketched maps of all selected UCs were obtained from the national Expanded Program for Immunization (EPI) to be able to select an area including 400 households; these micro plans were used for the random selection of one such cluster of households using a random number table. In rural areas, clusters of households usually consisted of one or more villages, while in urban areas two adjacent enumeration blocks of 200–260 houses within the jurisdiction of the selected UC were grouped to form one cluster of households.
Measurements
In each cluster, the field work started with a door-to-door census in which all households within the selected area were visited and all eligible persons aged 15 years and above who slept in the household the night before the census were enumerated until the target number of 1,400 adults per cluster was reached.
Participants were those who took part in at least one of the screening methods. A screening interview was done at the reception desk, mainly by local lady health workers, by using a short symptom screening questionnaire. This questionnaire contained 5 questions and assessed current TB treatment status, presence of cough, cough duration, smoking status, and consent to X-ray screening. After the screening interview, all survey participants consenting to X-ray screening had chest X-ray examination, except pregnant women and those unable to have an X-ray because of physical disabilities. Chest X-ray images were read independently by two medical officers and discrepancies were solved by consensus. Those reporting cough for more than two weeks and/or with abnormal shadows on their chest X-ray image or reporting to be on TB treatment at the time of screening, and those with cough of any duration without (interpretable) chest X-ray image were considered presumptive TB cases.
Laboratory examinations
Presumptive TB cases were subjected to an in-depth interview with questions on e.g. TB symptoms, and two sputum samples (spot and morning from the next day) were obtained. The spot specimen was examined in the field for the presence of acid fast bacilli (AFB) using direct smear microscopy with Ziehl-Neelsen staining. The morning specimen (or the spot specimen if no morning specimen was obtained) was transported in cold chain within 72 hours to the National reference laboratory for TB (NRL) in Islamabad for direct Ziehl-Neelsen smear microscopy and culture examination using the modified Kudoh method [12]. To identify Mycobacterium tuberculosis (MTB), all positive cultures were examined for morphology and subjected to paranitrobenzoic acid inhibition testing and/or MPB64 strip testing [13]. If needed, further identification was done using the Xpert MTB|RIF assay (Cepheid, Lyon, France). If culture results were not available while at least one smear was reported positive, a nucleic acid amplification test (NAAT), i.e., Genotype®MTBDRplus and/or Xpert MTB|RIF, was performed on scraped smear material.
Quality assurance
All X-ray images with any abnormal shadows and 20% of X-ray images reported as normal were re-read by a central radiologist blinded to the field reading result. X-ray images with discordant result between field and central reading were reread by a senior radiologist for a final decision. All AFB-positive and 20% of the AFB-negative smears were reread at the NRL. In case any smear from a certain cluster was reported false-negative, all slides from that particular cluster were reread. The NRL results were considered as final in case of any discordance.
Ethical issues
The survey started after obtaining ethical clearance from the National Bioethics Committee of the Pakistan Medical and Research Council. All procedures including consent and data collection were approved by NBC and adopted accordingly. Written informed consent with a signature or thumb print was obtained from all participants aged ≥15 years as this survey was confined to adults only. For some households in which the head of household considered obtaining informed consent from each individual household member as unnecessary or disrespectful, informed consent from the household head was considered sufficient for the complete household.
Data management
All data forms and registers were sent to the central data management unit (DMU), where they were sorted, numbered and counted before filing.
For data entry, predefined data entry forms in Epi-Data version 3.1 (http://www.epidata.dk) were developed. A random sample of 10% of all forms and registers was double entered in a separate database and was compared to the original data entry. The discrepancies, occurring in <2% of all entries, were checked against the paper forms and corrected if necessary. Personal identification numbers (PINs) were checked and were corrected using information on cluster number, name, father’s name, age and sex.
Definitions
A definite TB case was defined as having either an MTB-positive culture with five or more colonies; or less than five colonies in combination with a positive smear and/or an abnormal chest X-ray result consistent with TB; or a positive smear in combination with MTB confirmation on WHO-endorsed NAAT test.
A probable TB case was defined as having at least one positive smear in combination with an abnormal chest X-ray image but no MTB-positive culture (or NAAT result), nor non-Mycobacterium tuberculosis (NTM) grown on culture; or having two positive smears from two different specimens but no MTB-positive culture- or NAAT result nor NTM grown on culture.
A bacteriologically positive TB case was defined as any case with either definite or probable TB.
Data analysis
Data was entered in EpiData version 3.1 and analysis was performed in STATA version SE 11.2 (STATA Corporation, College Station, TX, United States of America). P-values were calculated using chi-square tests and Cuzick test for trend where appropriate. A p-value of <0.05 was considered statistically significant. Prevalence estimates and 95%CIs for smear- and bacteriologically positive TB were calculated as recommended [14]. Prevalence estimates were obtained using two best practice methods described in detail elsewhere [14]: first by applying logistic regression with robust standard errors to account for the clustered design of the survey and second by adjusting for missing TB results among participants eligible for smear examination applying multiple missing value imputation methodology (using STATA ice and mi commands), as well as for non-participation by applying inverse probability weighting [14]. For these final estimates, 40 databases (each based on a 30-cycle iteration process) were imputed and combined to derive at a final adjusted prevalence estimate with 95%CIs. Sex and/or age were unknown for 6 participants, and these participants were not included in the analyses since imputation models failed to converge. None of these participants had presumptive TB. We calculated the prevalence-to-notification (P:N) ratio, which is currently being used as an indicator of program performance by the WHO [15].
Results
In total, 131,377 persons were registered in the census, which was 98.8% of the target sample size. Of these, 131,329 were eligible, of whom 105,913 (80.6%) participated in the survey. Women were more likely to participate than men (88% versus 72%, p<0.0001). Although there were differences in participation rate over age groups and (geographical) areas, there were no clear trends visible (Table 1). Almost all (98.8%) participants were screened by questionnaire; 96.6% were screened by chest X-ray and 100,985 of these were screened using the questionnaire and chest X-ray (Fig 1).
Of 104,631 persons screened on symptoms, 5,470 (5.2%) qualified for sputum examination (Table 2). Among these, 5,063 (92.6%) complained of cough for more than 2 weeks, 354 (6.5%) had cough for a shorter or unknown duration and were not on TB treatment, but had no chest X-ray result available, and 146 (2.7%) were listed as being most likely on TB treatment at the time of the survey. Men more often complained of prolonged cough than women (p<0.001), and the prevalence of cough of more than 2 weeks increased with age (p<0.001, Table 2).
Chest X-ray images were taken from 102,267 participants of whom 7,828 persons (7.7%) had any abnormality on their X-ray image (Table 3). The proportion of men with an abnormal X-ray image was slightly higher than the proportion of women (p = 0.001). The proportion of X-ray abnormalities increased with age (p<0.0001; Table 3).
In total, 10,471 participants (9.9%) were eligible for sputum examination, of whom 8,521 (81.4%) submitted at least one sputum specimen for bacteriologic diagnosis of TB (Fig 1). AFB smear results were obtained on two specimens for 6,809 persons and on one specimen for 1,711 persons. Of 7,661 samples cultured, 7,221 (94.3%) yielded an interpretable (positive/negative) culture result.
The survey identified 233 smear-positive TB cases; 161 of these were positive on culture while for 46 cases with no culture results available, MTB was confirmed on NAAT. Twenty-six smear-positive cases (including 19 with a single positive smear and 7 with two positive smears) were not confirmed on culture nor molecular testing. These 26 cases were listed as probable TB cases. There were 108 smear-negative definite TB cases; 88 of these had ≥5 colonies on culture. In total, 341 TB cases were identified in the survey (Table 4).
Of 207 definite smear-positive TB cases, 49% had cough for more than 2 weeks and X-ray abnormalities suggestive for TB, 39% had no cough but an abnormal chest X-ray image, and 12% had only cough for more than 2 weeks, but a normal chest X-ray image. Only 7.6% of the 341 participants with bacteriologically positive TB reported to be currently on TB treatment.
The final prevalence of smear and bacteriologically positive TB was respectively 270.3 (95% CI 217.3–323.3) and 397.9 (95% CI 333.2–462.6) per 100,000 population. The prevalence of bacteriologically positive TB was 1.5 times higher among men than women (p = 0.001) and 1.5 times higher in rural compared to urban areas (p = 0.009); it significantly increased with age and was highest in Sindh province (Table 5). Sensitivity analyses assume that probable TB cases with a negative NAAT result (n = 23) had no TB, or no conclusion regarding pulmonary TB could be reached for the probable TB cases (n = 26) with slightly lower estimates of 370 and 371/100,000 respectively, within the confidence intervals of the estimates presented in Table 5.
The ratio of the prevalence of smear-positive TB per 100,000 population to the notification rate of new smear-positive TB per 100,000 persons for 2011 (P:N ratio) was 3.1 (95% CI: 2.5–3.7) overall (Table 6). It was significantly higher among men than women (p = 0.003) and among those aged 65 years and above compared to other age groups (p<0.0001). The P:N ratio was highest in Gilgit-Baltistan and lowest in Khyber Pakhtoon-khwa (p<0.0001).
Discussion
This TB prevalence survey among adults (≥ 15 years) was the second largest prevalence survey ever, after China [16]. A total of 8,521 sputum smears were examined, over 7,500 cultures were performed and 341 TB cases (315 definite and 26 probable cases) were identified.
The prevalence of sputum smear positive TB in the survey was 270 per 100,000 population (95% CI 217–323), whereas the previous national TB prevalence survey in Pakistan conducted in 1987–1989 provided TB prevalence estimate of 170/100,000 population [5]. However, it is difficult to compare results of these two surveys, as for the previous survey the exact sampling design and methodology used for screening and diagnosis of TB, as well as the age and sex distribution of TB cases, remain unknown. The 2010–2011 survey used more sensitive chest X-ray screening methodology than the 1987–1989 survey (full size digital X-ray versus mass miniature radiography (MMR)). Other possible explanations for the higher prevalence in the 2010–2011 survey include the increased economic and political instability since 1987 which may have led to more inequity in access to health care (about 80% of the population having none) [17] and several individual level predisposing factors for TB of which the prevalence increased in the past decade, such as under nutrition, indoor air pollution, smoking, and diabetes [18].
We report a prevalence of bacteriologically positive TB (≥15 years) of 398 per 100,000 population (95% CI 333–463). Using this estimate and applying assumptions about the prevalence of extra-pulmonary TB and the prevalence of TB in children, the WHO obtained a prevalence estimate for all forms of TB among all age groups of 342/100,000 (95% CI 284–406), adjusted for the likely underestimation of the prevalence of bacteriologically positive TB due to applying culture on only one instead of two sputum specimens [19]. The TB prevalence estimate is similar to the prevalence estimate published by the WHO in 2011 (364 (95% CI 154–611) per 100,000 population), but with a much narrower confidence interval [3].
We faced several challenges in the conduct of the survey. Lack of understanding of the importance of PINs by the local survey staff (lady health workers) led to errors in assigning PINs to participants at the registration booth. Initially, around 8% of the participants’ PINs were not available in the census register. All survey PINs (even if there were no indications for wrong merges) were checked using name and father’s/husband’s name, and wrong PINs and merges were corrected. Ultimately <1% of participants were not found in the census; these participants were excluded from the survey. Four of these were diagnosed with bacteriologically positive TB (two probable and two definite cases).
Initially, cluster visits were scheduled in the morning. This led to very low participation (54% in the first pilot cluster), especially among men. Therefore, we expanded the opening hours of the cluster field sites to also include evenings. However, the participation rate remained relatively low (80.6%) compared to most, but not all, other Asian TB prevalence surveys [15]. Stigma may partially explain the low participation rate, especially in rural areas. Other potential explanation include higher socio-economic status in urban areas. The sputum collection rate was low compared to other surveys (81.4%) [15]. Reasons for this low rate are unclear.
In this survey, smear positive cases accounted for 68% of all bacteriologically positive cases and this proportion was relatively high compared to others recent surveys [15,16,20–23]. This may be due to the fact that only one specimen was subjected to culture and this strategy tends to underestimate the prevalence of bacteriologically positive TB [24]. The Vietnam survey also applied one instead of two cultures, and the proportion of smear positive cases was comparable at 65% [25]. The surveys in Cambodia and Lao included two cultures and the proportions of smear positive cases were 33% and 45% respectively [21,23]. The fact that the majority of the smear-positive, culture negative samples (32/46) was confirmed to be MTB-positive using NAAT suggests that applying one instead of two solid cultures leads to underestimation of the prevalence of smear-negative, culture positive TB. The low culture recovery rate may be due to relatively long sample transportation times under harsh climate conditions. Contrarily, we may have overestimated the prevalence of smear-positive TB: 23 of the 26 probable TB cases were not confirmed using NAAT directly on sputum smears. This may be explained by the low sensitivity of the Genotype®MTBDRplus test when applied directly on sputum smears, but it is also possible that these AFB-positive smears contained NTM instead of M. tuberculosis strains, as was found in some recent surveys [15]. However, only 3% of the positive cultures contained NTM (and no M. tuberculosis). Sensitivity analyses, assuming that the 23 probable TB cases with a negative NAAT result had in reality no TB, or assuming that no conclusion regarding pulmonary TB could be reached for the 26 probable TB cases, yielded slightly lower prevalence estimates which were in range with the estimates presented in this paper.
The prevalence of bacteriologically positive TB was 1.5 times higher and the P:N ratio was 1.7 times higher in men than women. A higher prevalence of TB among men has been reported from almost all other countries in the world [1,15,26], and other TB prevalence surveys in Asia have shown higher P:N ratios for men than women [15]. This suggests a higher TB burden among men combined with poorer health care seeking behaviour. Possible explanations for the higher TB burden in men are that men generally have more interaction with people outside their own home, are more often smoking, and are more exposed to risk factors during both work and leisure time[27,28].
The TB prevalence increased with age; a similar pattern is also observed in the TB surveillance data of Pakistan. The higher TB prevalence among elderly population may be explained by the recurrence of TB from endogenous reactivation in combination with a weak immune system rather than recent transmission [29,30]. It should be noted however, that this trend by age was much less pronounced than in other published Asian TB prevalence surveys [15], suggesting that active transmission of TB still occurs at high rates.
The prevalence of bacteriologically positive TB was higher among rural than urban residents (adjusted prevalence, 471 vs. 309, p<0.0001), while TB is usually thought of as a disease of urbanization [31]. Although this effect is largely explained by the different age distribution (mean age in rural versus urban areas 35.4 (SD, 23.0) versus 33.6 (17.6) years, p<0.0001), the higher TB prevalence in rural areas is probably also partially the result of longer disease duration, because of limited availability of health services and the longer distances to health facilities in combination with poverty and poor knowledge and awareness about TB [32–34].
The TB prevalence was highest in Sindh province which is one of the most populous provinces in Pakistan. Azad-Jammu and Kashmir, Balochistan, Gilgit-Baltistan and Khyber Pakhtoon-khwa have a lower population density, and higher elevation levels, which may both be protective for transmission of TB infection. Higher altitudes are related to more exposure to sunlight and higher vitamin D levels, which may protect against progression to TB disease [35].
TB notification in a country is expected to be similar to the TB incidence if there is a well-functioning NTP surveillance system and almost all cases are notified. We report a P:N ratio of 3.1, and a low proportion of TB cases being currently on TB treatment (7.6%). This suggests significant under-detection and under-reporting of TB in Pakistan. This was also the conclusion of a recent study conducted in 12 districts across Pakistan, which estimated the proportion of cases notified to NTP to be 32% [4]. The private sector is huge in Pakistan and less than 1% of the private providers are reporting TB cases to NTP [36]. The P:N ratio was higher among males compared to females, among elderly compared to other age groups, and among the population of Gilgit-Baltistan compared to the population of other provinces, suggesting lower case detection and/or notification in these subpopulations. This suggests that NTP should accelerate its efforts of focusing on these subpopulations to increase TB case detection and/or improve case notification. Another reason for low TB case detection may be that the National guideline prescribes that only clients complaining of cough existing for more than 2 weeks are screened for TB, and this guidance is generally followed in routine settings. This screening algorithm is rather insensitive as shown by our data: only 61% of the TB cases diagnosed in the survey screened positive on symptoms (cough >2wks), whereas the other cases had sputum examined based on X-ray abnormalities.
We corrected for missed TB cases among non-participants by applying inverse probability weighting and by missing value imputation for participants with missing (laboratory) results. However, this approach assumes that data are missing at random [37] whereas in fact, other unmeasured factors (such as job type, socio-economic status, stigma, etc.) may have influenced participation and it is thus possible that we could not fully adjust for missing values due to non- or partial participation.
The survey was limited to areas that were safe enough to visit and we had to exclude 6.5% of the Pakistan population from the sampling frame. As most of these Northern and Western areas are scarcely populated, we expect that these areas have relatively low TB prevalence rates. Hence, the exclusion of these areas may have led to a slight overestimation of the TB prevalence estimate in our survey [6]. As all published national TB prevalence surveys, we excluded the military, police, prisoners, persons living in internally displaced persons camps, and homeless people. The effect of exclusion of these groups on the TB prevalence remains unknown. Also, this survey does not provide information on extra-pulmonary TB cases, which constitute 17% of all notified cases in Pakistan [6], and it was limited to adults, because the diagnosis of (pulmonary) TB is difficult among children. We did not measure HIV-status. However, the HIV-prevalence among the general population in Pakistan is known to be stable and very low, and confined to certain high-risk groups [38].
The results of this national TB prevalence survey among adults (≥ 15 years) suggest that the bacteriologically positive TB prevalence is high and TB remains a public health problem in Pakistan. Efforts should be made to increase TB case detection, especially among men and elderly, especially in Azad-Jammu and Kashmir, Sindh and Gilgit-Baltistan, and to improve the TB surveillance system so that most TB cases will be notified to NTP in the future. To achieve this, there is a need to strengthen TB case detection, including introduction of innovative case finding techniques and strategies, as well as to enhance TB case detection and notification by involving private providers.
Acknowledgments
The authors are thankful to Nico Kalisvaart from KNCV Tuberculosis Foundation for providing data management support throughout the survey. Marieke van der Werf (currently based at the European Centers for Disease Control) contributed to protocol development and monitoring of data collection. Charalampos Sismanidis from WHO Geneva provided guidance in statistical analyses and Dr. Amal Bassili (late) from WHO EMRO guided in data cleaning. Muhammad Ramzan Khan of the Federal Bureau of Statistics assisted in sampling and sample size estimation. We are grateful to all survey field and central staff (data management unit, laboratory and chest X-ray unit), including Mr. Zia Samad (data manager), Mr. Khawaja Laeeq Ahmad (monitoring and evaluation of field work), and Mr. Sabir (chest X-ray coordinator). We wish to express our deep gratitude to all participants to this survey. We highly acknowledge the corporation and facilitation from provisional TB control programs of Punjab, Sindh, KPK, Balochistan, AJK and GB.
Author Contributions
Conceived and designed the experiments: EQ RF ST MS. Performed the experiments: EQ RF ST AG MS MA. Analyzed the data: EWT AY MU. Contributed reagents/materials/analysis tools: EWT AY MU. Wrote the paper: EQ RF AY ST MU MS EWT MA.
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