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. 2021 Sep 2;15(9):e0009640. doi: 10.1371/journal.pntd.0009640

Evidence for hidden leprosy in a high leprosy-endemic setting, Eastern Ethiopia: The application of active case-finding and contact screening

Kedir Urgesa 1,*, Kidist Bobosha 2, Berhanu Seyoum 2, Fitsum Weldegebreal 1, Adane Mihret 2, Rawleigh Howe 2, Biftu Geda 3, Mirgissa Kaba 4, Abraham Aseffa 2
Editor: Mauro Sanchez5
PMCID: PMC8454944  PMID: 34473696

Abstract

Leprosy or Hansen’s disease is a disabling infectious disease caused by Mycobacterium leprae. Reliance on the self-presentation of patients to the health services results in many numbers of leprosy cases remaining hidden in the community, which in turn results in a longer delay of presentation and therefore leading to more patients with disabilities. Although studies in Ethiopia show pockets of endemic leprosy, the extent of hidden leprosy in such pockets remains unexplored. This study determined the magnitude of hidden leprosy among the general population in Fedis District, eastern Ethiopia. A community-based cross-sectional study was conducted in six randomly selected leprosy-endemic villages in 2019. Health extension workers identified study participants from the selected villages through active case findings and household contact screening. All consenting individuals were enrolled and underwent a standardized physical examination for diagnosis of leprosy. Overall, 262 individuals (214 with skin lesions suspected for leprosy and 48 household contacts of newly diagnosed leprosy cases) were identified for confirmatory investigation. The slit skin smear technique was employed to perform a bacteriological examination. Data on socio-demographic characteristics and clinical profiles were obtained through a structured questionnaire. Descriptive statistics and binary logistic regression were used to assess the association between the outcome variable and predictor variables, and the P-value was set at 0.05. From the 268 individuals identified in the survey, 6 declined consent and 262 (97.8%) were investigated for leprosy. Fifteen cases were confirmed as leprosy, giving a detection rate of 5.7% (95%, CI: 3%, 9%). The prevalence of hidden leprosy cases was 9.3 per 10,000 of the population (15/16107). The majority (93.3%) of the cases were of the multi-bacillary type, and three cases were under 15 years of age. Three cases presented with grade II disability at initial diagnosis. The extent of hidden leprosy was not statistically different based on their sex and contact history difference (p > 0.05). High numbers of leprosy cases were hidden in the community. Active cases findings, and contact screening strategies, play an important role in discovering hidden leprosy. Therefore, targeting all populations living in leprosy pocket areas is required for achieving the leprosy elimination target.

Author summary

Leprosy, also called Hansen’s disease, is a neglected infectious disease leading to deformity and disability. Late presentation and hidden cases are the major risks of leprosy-associated disability. Although leprosy endemic pocket areas and grade II disability with a high proportion were reported in Ethiopia, studies on the burden of hidden leprosy cases are limited. Therefore, this study determined the extent of hidden leprosy cases among the general population in leprosy endemic settings in eastern Ethiopia through active case findings and contact tracing. In this community-based survey, leprosy-suspected individuals in the general population and household contacts of newly diagnosed patients with leprosy were included. Health extension workers, community-based health workers in Ethiopia, visited 16107 individuals in the selected villages and 214 leprosy suspects were enrolled in the study based on the clinical signs of leprosy suspects. Leprosy experts examined all leprosy suspects clinically and a skin slit sample was taken for bacteriological examination. After the confirmation of new cases, 48 of their households’ contacts were then examined by leprosy experts. Of 262 suspects and household contacts evaluated for leprosy, 15 hidden cases confirmed, giving an overall prevalence of 9.3 per 10, 000 population. Most of them were Multi-bacillary (MB) type, and one-fourth of them were younger than 15 years of age, and three cases presented with grade II disability. Hidden leprosy was not statistically associated with participants’ sex, age category, and contact history.

Introduction

Leprosy or Hansen’s disease is a disabling infectious disease caused by Mycobacterium leprae [1]. It is one of the neglected tropical diseases of public health importance [1,2]. Leprosy is endemic in poor countries where detection rates remain low despite availability of effective treatment [3]. Though there have been reductions of about 90% in the prevalence rate, transmission continues and remains a public health issue [4].

The global target to eliminate leprosy, a reduction in prevalence to <1 case per 10,000 population, was achieved in 2000[5] and the World Health Organization (WHO) had set a target to interrupt the transmission of leprosy globally by 2020 [6]. Leprosy nevertheless continues to be a public health problem in different parts of the world [7], with more than 200,000 new cases reported every year [8].

Although Ethiopia achieved the elimination target in 1999, it still has the second-highest disease burden in terms of leprosy in Sub-Saharan Africa (SSA) [9]. Between 2013 and 2015, 3,500 to 4,000 new leprosy cases were reported to the national tuberculosis and leprosy control program [10]. In 2019, the country reported 3,201 new leprosy patients, of whom 12.8% presented with a grade II disability, as reported by WHO [8]. Studies in Ethiopia also evidenced the persistent prevalence of childhood leprosy and disabilities with multibacillary (MB) cases in rural southern Ethiopia [11,12], which suggested the ongoing transmissions of the disease in the country [13].

Active case-findings strategies are essential for discovering hidden leprosy and are an important epidemiological tool to minimize cases, reduce incidences of disability due to leprosy, and reduce the transmission of M. leprae [14,15]. Moreover, the global leprosy strategy (2016–2020) promotes early case detection by the application of active case-finding and contact management in areas of higher endemicity [13].

However, in Ethiopia cases of leprosy are detected by examining patients attending health facilities (passive case detection)[16]. This passive case detection or self-reporting of patients in the integrated leprosy-control program results in increased hidden and undiagnosed leprosy cases in the community, leading to more deformities and disability [17].

While studies in Ethiopia revealed endemic leprosy pockets [18], the extent of hidden leprosy cases is rarely addressed [9]. Therefore, this study determined the magnitude of hidden and undiagnosed leprosy using house-to-house visits as a tool for active case detection and to evaluate the household contacts of leprosy in selected leprosy endemic districts in eastern Ethiopia in 2019.

Methods

Ethical consideration

This study was conducted according to the Helsinki Declaration and Ethiopian research regulations. The Institutional Health Research Ethics Review Committee (IHRERC) of the College of Health and Medical Sciences, Haramaya University, Ethiopia (ref no: IHRERC/152/2018) and the Armauer Hansen Research Institute Ethics Committee (ref no: P002/18 AHRI/ERC) approved the protocol. The coordinator informed all participants in advance about the purpose and time of the survey. Participants were given information on the objectives of the study, and informed consent was obtained in writing or by thumbprint. For those participants below 18 years of age, informed consent was obtained from a parent or legal guardian. To minimize the stigma, privacy was a priority during the examination of study participants. Participants participated voluntarily and withdraw from the study at any time without any consequences. Anonymity was ensured by only having participant identification numbers included during data collection.

Study setting, design and period

A community-based observational study was conducted in six leprosy endemic villages in the Fedis District between 5 July and 30 October 2019. Fedis is one of the high leprosy endemic districts located in East Hararghe Zone, Oromia Regional State, Eastern Ethiopia. It is located at 534 km East of Addis Ababa and 24km to the south of Harar (Fig 1).The district contains 19 rural and 2 urban villages with a total population estimated to be 133,382 persons. According to the zonal health office report, 57 and 47 new leprosy cases were receiving treatment in 2017 and 2018, resulting in a prevalence of 3.5 to 4.3 per 10,000 population (East Hararghe Zonal Health office, 2017 and 2018) (Zonal TB/Leprosy focal person communication).

Fig 1. Map showing the location of study site in Ethiopia 2019: Fedis district, drawn using ARCGIS version 10.1.

Fig 1

(source: "Natural Earth. (http://www.naturalearthdata.com/about/terms-of-use/).

Study population, and sampling

Since leprosy occurs in clusters, one large sample from a single area would not have been a reliable estimate of leprosy. Estimating the disease burden by conventional sampling procedure is difficult due to the large sample size requirement. Therefore, inverse sampling procedure was used [19,20]. Fedis District was selected among 12 high leprosy endemic districts in the East Hararghe Zone. From the District, six villages with a leprosy endemicity burden, with a total population of 35,673, were included randomly. All suspected cases and consenting individuals were screened through house-to-house visits and consecutively enrolled for leprosy diagnosis. Study criteria excluded those on multi-drug therapy at the initiation of the study and a person who lived for less than six months in the selected villages.

Data collection procedure and tools

Survey

Full village surveys of the selected villages were conducted, including all household members. Twelve trained health extension workers (HEWs) conducted the house-to-house visits to identify leprosy suspects. Using checklists, which was adopted from the national guideline, HEWs identified suspects by showing color photos of leprosy cases and asking if any household members had similar symptoms. Suspects were referred to the nearby health facility and examined by leprosy experts from Armauer Hansen Research Institute and the research team (researchers, health officers, and HEWs).

Physical examination

All individuals suspected of having leprosy underwent a standardized physical examination, as recommended by WHO and the national guidelines [21]. Briefly, the physical examination focused on examination of the skin from head to toe, including the front and back sides, the presence of skin lesions (patches or nodules), loss of sensation over the skin lesions (patches) using a “wisp of cotton wool”, and the number of skin lesions counted, if any. Palpation of the nerves was checked for cord enlargement and/or tenderness, and examination of eyes, hands and feet for any disabilities[22].

Bacteriological examination

According to the national guidelines, the slit skin smear examination was performed for questionable cases to confirm the diagnosis; and was also used for leprosy classification. One slide, with smears taken from two sites (ear lobes and active lesion), was collected for examination and evaluation for M. leprae (acid-fast bacilli)[16]. Accordingly, the principal investigators obtained skin smears for bacteriological examination. Briefly, slit-skin smears were taken from ear lobes and skin lesions from 43 study participants. The slit-skin smears made on the slide were stained by the Ziehl-Neelsen technique, using 1% carbol fuchsin, 1% acid-alcohol and 0.25% methyl blue. Under oil immersion objective, red acid-fast bacilli were observed, arranged singly or in groups (cigar-like bundles), and bound together by a lipid-like substance, forming glia. The criteria used for diagnosis and classification were based on the local leprosy control program and followed WHO guidelines as either paucibacillary (PB) or multibacillary (MB) type[21].

After confirmation of the leprosy diagnosis, the leprosy experts determined the degree of disability and initiated multi-drug therapy. The household contacts were then scheduled for screening by the research team. Leprosy experts or dermatologists then examined the household contacts. Suspects with other skin diseases were linked to the nearby health center.

Questionnaire

Structured questionnaires were administered to suspected cases and household contacts to obtain data on demographic characteristics and clinical history. Information related to leprosy diagnosis was obtained, including WHO classification of leprosy, disability grade, the clinical profile of individuals including BCG scar, contact history of leprosy, and any previous history of leprosy was documented.

Quality control

Health extension workers were trained in the clinical examination for leprosy diagnosis and how to refer suspected cases to the nearby health center for further investigation by leprosy experts. HEWs conducted an interview in the local language (Afan Oromo) and checklists were completed by face-to-face interviews for recruitment.

Study variables

The outcome variable was the magnitude of the hidden leprosy case. The independent variables include age, sex, occupation, residence, educational status, marital status, BCG scar, and contact history of a patient with leprosy.

Operational definition

Suspect is an individual who presented with pale or reddish patches (skin patch with discoloration) on the skin, painless swelling or lumps in the face and earlobes, loss of, or decreased sensation on the skin, numbness or tingling of the hands and/or feet, weakness of eyelids, hands or feet, painful and/or tender nerves, burning sensation in the skin or painless wounds or burns on the hands or feet [16].

A leprosy case is a person with one of the cardinal signs of leprosy, and who requires chemotherapy. The cardinal signs of leprosy are ONE of the following: hypo-pigmented skin lesion with definite loss of sensation, thickened (enlarged) peripheral nerve with or without tenderness, and/or the presence of acid-fast bacilli in a slit-skin smear [16].

The PB type is a patient who is skin smear negative and/or the number of skin lesions is 1–5 without demonstrated presence of bacilli in the smear [23].

The MB type is a patient who is skin smear positive and/or the number of skin lesions is more than five, with demonstrated presence of bacilli in the smear, irrespective of the number of skin lesions [23].

Physical disability in leprosy is defined by the WHO in three categories [24]: Grade 0: the absence of disability (no anesthesia) and no visible damage or deformities of eyes, hands and feet; Grade I disability: the loss of protective sensibility in the eyes, hands or feet, but no visible damage or deformities; and Grade II: the presence of deformities or visible damage to the eyes (lagophthalmos and/or ectropion, trichiasis, corneal opacity, difficulty counting fingers at 6 meters), visible damage on hands or feet (hand with ulcerations and/or traumatic, resorption, claw, fallen hand, ulcers; feet with trophic and/or traumatic injuries, resorption, claw, foot drop, ulcers, ankle contracture) [25].

Household contact is a family member or any person that who lived under the same roof with the index case for more than six months [26]. Co-prevalent leprosy is where the contacts diagnosed with leprosy at the first examination after the index case were diagnosed [27].

Data management and statistical analysis

Data were entered in Epi-Data version 3.1 and analyzed using STATA version 13.0. Descriptive statistics such as mean and percentages were used to describe the socio-demographic characteristics and the magnitude of hidden leprosy cases. Descriptive statistics such as mean and proportion and binary logistic regression analysis were used to assess the association between the dependent and predictor variables. The significant association was declared at p-value < 0.05.

Results

Demographic characteristics of the study participants

The HEW visited 16,107 individuals during a house-to-house survey and household contact (HHC) tracing. Of these, 268 were eligible, 262 (97.8%) of whom consented to participation and were enrolled in the study. Among the volunteers who were evaluated for leprosy, 214 participants were identified as suspects for leprosy during the house-to-house visit, and 48 were household contacts of newly diagnosed cases. The mean (+ SD) age of the participants was 26.9 (±15.2) years. About 45% of the participants were female and 62% were rural residents. About half (48%) of the participants had no formal education (Table 1).

Table 1. Distribution of demographic and clinical condition among participants with or without leprosy in Fedis District, 2019(n = 262).

Variables Hidden leprosy
Negative Positive Total
Sex Number % Number (%) Number %
    Male 134 92.4 11 7.6 145 55.3
    Female 113 96.6 4 3.4 117 44.7
Total 262 100
Age category (in years)
    < 15 60 95.2 3 4.8 63 24.1
    15–30 99 94.3 6 5.7 105 40.1
    31–45 66 97.1 2 2.9 68 25.9
    Above 45 22 84.6 4 15.4 26 9.9
Total 262 100
Educational status
    No formal education 122 96.8 4 3.2 126 48.1
    Literate 125 91.9 11 8.1 136 51.9
Total 262 100
Marital status
    Single 93 92.1 8 7.9 101 38.6
    Married 154 95.6 7 4.4 161 61.4
Total 262 100
Occupation
    Farmer 139 95.2 7 4.8 146 55.7
    Employed 15 100.0 0 0.0 15 5.7
    Unpaid 93 92.1 8 7.9 101 38.6
Total 262 100
Residence
    Rural 155 95.7 7 4.3 162 61.8
    Urban 92 92.0 8 8.0 100 38.2
Total 262 100

Prevalence of hidden leprosy

During active case-finding through the house-to-house visits, 214 suspects were evaluated both clinically and/or bacteriologically (Fig 2). Thirty (14%) of the suspects had histories of contact with treated leprosy patients. Of the 214 suspects, 11 leprosy cases were confirmed, giving a detection rate of 5.1% (95%, CI = 2%, 9%). Among the newly confirmed leprosy cases, one patient had a prior history of leprosy (relapse case) and three cases had a contact history with a treated leprosy patient. The majority (90.9%) of cases were MB type leprosy, and two of them presented with grade II disability. Most (63.6%) of cases were farmers and 81.8% were male.

Fig 2. Physical examination of individuals suspected for leprosy based on cardinal signs at leprosy clinic, Fedis district, 2019.

Fig 2

Following the confirmation of 11 new cases, leprosy experts and dermatologists examined 48 HHCs through contact management strategy. Among the 48 HHCs, four new leprosy cases (co-prevalent cases) were confirmed, giving an 8.3% detection rate (95%, CI = 2%, 19%). Among the co-prevalent cases, all of them were MB and two cases were under 15 years of age.

By considering both suspects and HHCs evaluations, 15 participants were found to be leprosy cases, giving a detection rate of 5.7% (95%, CI: 3%, 9%). This yields a total population-based prevalence of hidden leprosy to be 9.3 per 10,000 population. The majority 14(93.3%) of the newly diagnosed hidden cases were MB, and three cases demonstrated grade II disability. Among the newly diagnosed hidden cases, three were under 15 years of age and about one-fourth were female.

The extent of hidden leprosy was not statistically different based on their age category and contact history difference (p > 0.05). Furthermore, in the binary logistic regression analysis, the detection rate of hidden leprosy cases was not statistically different based on their sex difference (P>0.05) (Table 2).

Table 2. Association between dependent and predictor variables among study participants in leprosy endemic setting, Fedis District, 2019(n = 262).

Variables OR [95%Conf. Interval] p-value AOR* [95%Conf. Interval] p-value
Sex Male 1
Female 0.43 0.13 1.39 0.15 0.45 0.13 1.47 0.18
Marital status Single 1
Married 0.52 0.18 1.50 0.23 0.63 0.17 2.30 0.48
Educational Status No formal education 1
literate 2.68 0.83 8.65 0.09 1.73 0.41 7.29 0.45
Residence Rural
Urban 1.92 0.67 5.48 0.22 1.72 0.55 5.35 0.34

AOR* = adjusted odds ratio, variables in the final model

Discussion

This study revealed the high prevalence of hidden leprosy in the general population. All co-prevalent patients were detected without having significant neuronal or visible physical damage at the initial stage of screening. Hidden leprosy was not associated with participants’ demographic characteristics and contact histories. Therefore, the presence of pockets of high endemicity with a high prevalence rate of 9.3 per 10,000 population points to the arduous journey ahead for leprosy elimination in Ethiopia.

Ethiopia, with the introduction of multi-drug treatment (MDT), achieved the elimination target at the national level with a record of 0.3 per 10,000 population in 2018 [22]. Our finding is higher than the national prevalence and that of Gambella regional state, which was 2.4 per 10,000 in 2016 [22]. We used an active case detection strategy, compared to the above-mentioned lower estimates, which used passive case detection. However, the national leprosy control program recommended the voluntary self-reporting (passive case detection) strategy. Moreover, the higher prevalence is evidence for the poor performance of passive case detection compared with active case findings [28] and active case finding is an important epidemiological tool to minimize hidden leprosy cases [15].

In this study all co-prevalent patients among HHCs were detected without having a significant neuronal or visible physical damage at the initial stage of screening. This is an indication of the feasibility and contribution of active case-finding programs to promote early case detection by tracking HHCs [13,29]. We found that one in five cases presented with grade II disability on diagnosis, showing a prolonged delay in health-seeking. This is in harmony with the research conducted in Addis Ababa, where the proportion of grade II disability among new leprosy cases was 23.7% [30]. This finding is higher than the national report of 13.6% in 2016 [22]. The higher proportion of grade II disability in the current study supports the late case presentation and ongoing transmission of leprosy [26,31]. It also reflects inadequate monitoring in the national leprosy control program [13] and the ongoing transmission of leprosy has not been interrupted [26]. Unfavorable attitude toward leprosy among the community in the same study setting [32] contributes to late presentation [33].

The proportion of childhood prevalence (20%) in this study is higher than the national prevalence (11.7%) and that of Oromia regional state (13.3%) [22]. The presence of childhood leprosy among new cases suggested the existence of the active source of infection [34] and high ongoing transmission of the disease in the community [22]. The higher proportion of childhood leprosy also a late performance indicator of the national leprosy control program [35].

This study revealed that hidden leprosy is not significantly associated with participants’ contact history with leprosy and their sex difference. Similar findings have been reported in other countries [15,36]. All study participants resided in shared vulnerable areas with high leprosy endemicity villages and the same environmental exposure status [37,38]. Likewise, more than half of the community in Fedis District was food insecure [39]. Food shortage is shown as an important poverty-related predictor of the clinical manifestation of leprosy and the greatest risk [40]. Therefore, they have the greatest risk of leprosy [41]. Hence, a higher prevalence of leprosy is expected in this district. Also, the unfavorable attitude in the general community in Fedis District and the stigma favors the hiding of patients from the diagnosis, irrespective of their sex and contact history [32,42].

Strength and limitation of the study

This community-based active survey evidences the hidden leprosy cases that were missed by passive case detection in an endemic-leprosy setting. This study discovers leprosy patients who didn’t seek health care before the inclusion. These leprosy patients are hidden within the general population and risk for themselves and others. All examinations of suspects were done in accordance with the national guidelines for leprosy diagnosis. Experienced leprosy experts and dermatologists performed clinical examinations. Learning from the successes of other disease prevention and improved health service utilization or health-care seeking through the deployment of health extension program in Ethiopia[4345], we used the trained health extension workers as data collectors to discover hidden leprosy. Using the existing health extension programs in a context of limited resources is more workable and provides more reliable data.

The inclusion of suspects was based on questioning individuals according to the leprosy symptoms; individuals cannot recognize painless symptoms or do not report to the HEW during the house-to-house visits due to fear of stigma [33,46](selection bias). However, the colored picture used during the interview helped in recognizing symptoms.

Conclusions and recommendations

Conclusions

The overall prevalence of hidden leprosy is higher than the national and regional figures. An active finding and tracing of HHC in regions where leprosy is highly prevalent, like Fedis District, is an important strategy to promote early diagnosis, minimize hidden leprosy and prevent severe outcomes. The prevalence of hidden leprosy was not significantly different based on the contact history and demographic characteristics of the participants.

Recommendations

An outreach activity of active case-finding targeting all age and sex group populations in leprosy pocket areas is crucial to stop leprosy and its complications.

It is important to develop a framework that incorporates leprosy case-finding and HHC tracing strategies in the implementation of the health extension program.

Further studies considering larger sample size and different study design need to be undertaken to identify potential factors associated with hidden leprosy.

Acknowledgments

The authors would like to acknowledge the study participants, the district health office and data collectors for Haramaya University and AHRI their support in the study. Our great appreciation also goes to project supervisors and colleagues for their support.

Data Availability

The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the manuscript.

Funding Statement

The authors received no specific funding for this work.

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PLoS Negl Trop Dis. doi: 10.1371/journal.pntd.0009640.r001

Decision Letter 0

Mauro Sanchez, Gerson Oliveira Penna

8 Mar 2021

Dear Msc Urgesa,

Thank you very much for submitting your manuscript "Evidence for hidden leprosy in the post-elimination era in a high leprosy endemic setting, Eastern Ethiopia: application of active case finding and contact screening" for consideration at PLOS Neglected Tropical Diseases. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. In light of the reviews (below this email), we would like to invite the resubmission of a significantly-revised version that takes into account the reviewers' comments.

Please pay special attention to recommendations regarding formatting, language, structure and length of the discussion, the concept of elimination of leprosy and limitations of the study.

We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent to reviewers for further evaluation.

When you are ready to resubmit, please upload the following:

[1] A letter containing a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Important additional instructions are given below your reviewer comments.

Please prepare and submit your revised manuscript within 60 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. Please note that revised manuscripts received after the 60-day due date may require evaluation and peer review similar to newly submitted manuscripts.

Thank you again for your submission. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Mauro Sanchez, ScD

Associate Editor

PLOS Neglected Tropical Diseases

Gerson Penna

Deputy Editor

PLOS Neglected Tropical Diseases

***********************

Reviewer's Responses to Questions

Key Review Criteria Required for Acceptance?

As you describe the new analyses required for acceptance, please consider the following:

Methods

-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?

-Is the study design appropriate to address the stated objectives?

-Is the population clearly described and appropriate for the hypothesis being tested?

-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?

-Were correct statistical analysis used to support conclusions?

-Are there concerns about ethical or regulatory requirements being met?

Reviewer #1: This is a descriptive study and investigatory of nature. Although quite a large population (app. 16,000) was screened for signs and symptoms of leprosy, in the end only 15 (hidden) cases were confirmed. This is important information from a policy point of view, but the low numbers make it difficult to perform statistical analyses satisfactorily. In fact, there are no statistically significant differences shown in any of the analyses at the p=0.05 level.

Reviewer #2: This study is observational epidemiologic description

Reviewer #3: See attached document

Reviewer #4: Yes. I just recommend inserting a map to locate the location of kebeles on the Ethiopian map for the international reader.

In the future, I recommend doing a case-control study (with neighborhood controls) to better estimate the contribution of these associated factors to the occurrence of the disease in this area.

--------------------

Results

-Does the analysis presented match the analysis plan?

-Are the results clearly and completely presented?

-Are the figures (Tables, Images) of sufficient quality for clarity?

Reviewer #1: Table 1 is difficult to read. Firstly, numbers (N) and (%) are given in the same column, these should be in separate columns. Secondly, 1 decimal for percentages is sufficient. Thirdly, total N should show 100% in each row every time. Or else put the total first in a column and give the total of each category in a row underneath. So:

Sex Negative Positive

Male 145 (55.3%) 134 (92.4%) 11 (7.6%)

Female 177 (44.7%)

Total 262 (100%)

Age category (in years)

<15

etc.

Information on the part on the hidden prevalence is divided between text (end page 12 and page 13) and Figure 1. This is confusing. The figure does not add much extra information at all and this part can be best summarized in a table, bringing all information comprehensively together.

Table 2 is not necessary. The 4 lines (250-253) on page 13 say it all...

Reviewer #2: well presented and discussed

Reviewer #3: See attached document

Reviewer #4: - For the level of education only have these two possibilities? Wouldn't it be interesting to include, classify "literates" in the education levels, covering other school grades, including people who have completed regular education or higher education?

- When discussing the results, I consider it delicate to make this comparison with studies carried out in other countries with a high leprosy burden. And even if not all of the cases were multibacillary, it was a high percentage in the study in question (lines 306 - 312).

- Regarding the information on lines 334 and 335, was it really a failure of the HEWs to identify these co-prevalent cases or because these contacts were not at home at the time of the first visit?

--------------------

Conclusions

-Are the conclusions supported by the data presented?

-Are the limitations of analysis clearly described?

-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?

-Is public health relevance addressed?

Reviewer #1: The discussion section is very lengthy and can be shortened by at least a third. The strengths and limitations usually come before the final conclusion. Most part of the conclusion paragraph are actually recommendations and could be formulated separately under a heading recommendations.

Reviewer #2: relevant and in accordance to tile and abstract

Reviewer #3: See attached document

Reviewer #4: - In lines 200 and 201 it was mentioned that "While individual confirmed as leprosy case initiated treatment, suspects with other skin diseases were linked to the nearby health facility for clinical management." On lines 275 and 276 "Another challenge in this study was insufficient or shortage of MDT for leprosy treatment. "How was this important ethical issue and articulation with health services resolved? Were all the cases diagnosed in the research treated as mentioned in the methodology? consent that participants signed? Make it clearer on the paper.

- Lines 358 e 359 - I think that this discussion can be further developed in the light of the current literature on the social determinants of the occurrence of leprosy and considering the limitations of the study and data analysis

- I suggest adding recommendations for other research that can complement the identified results.

--------------------

Editorial and Data Presentation Modifications?

Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.

Reviewer #1: Indicate once in the text that the term for village in Ethiopia is kebele, but otherwise use the familiar English term village throughout the manuscript.

Reviewer #2: yes

Reviewer #3: (No Response)

Reviewer #4: - Attention to the formatting details of paragraphs, tables and graph.

--------------------

Summary and General Comments

Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.

Reviewer #1: Although this paper is relevant for Ethiopia from a leprosy control policy point of view, its scientific (epidemiological) merit is rather limited due to the low numbers and very descriptive nature. It would be better suited for a specific leprosy journal, such as Leprosy Review. In any case, the manuscript can be shortened and improved (see specific comments). Also, it needs a very thorough English language edit. This is a major limitation of the current manuscript.

Reviewer #2: clear

Reviewer #3: See attached document

Reviewer #4: This issue of elimination is controversial because this indicator is based on a prevalence calculated based on cases with an active record, under treatment - when in fact, case detection and hidden prevalence should be considered. In the introduction and discussion I recommend doing a more in-depth reflection on this "post-elimination" era and what it really takes and what it means to achieve these leprosy elimination goals. How to consider that a disease has been eliminated, as mentioned in lines 71 to 75, if the indicator that represents this elimination disregards the hidden prevalence? I recommend this among other references:Lockwood, DN; Shetty, V; Penna, GO (2014) Hazards of setting tar-gets to eliminate disease: lessons from the leprosy elimination cam-paign. BMJ (Clinical research ed), 348. g1136. ISSN 0959-8138 DOI:https://doi.org/10.1136/bmj.g1136

--------------------

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Reviewer #1: No

Reviewer #2: Yes: Carlos Franco-Paredes

Reviewer #3: No

Reviewer #4: No

Figure Files:

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PLoS Negl Trop Dis. doi: 10.1371/journal.pntd.0009640.r003

Decision Letter 1

Mauro Sanchez, Gerson Oliveira Penna

9 Jul 2021

Dear Dr Urgesa,

We are pleased to inform you that your manuscript 'Evidence for hidden leprosy in a high leprosy-endemic setting, Eastern Ethiopia: the application of active case-finding and contact screening' has been provisionally accepted for publication in PLOS Neglected Tropical Diseases.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

Should you, your institution's press office or the journal office choose to press release your paper, you will automatically be opted out of early publication. We ask that you notify us now if you or your institution is planning to press release the article. All press must be co-ordinated with PLOS.

Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.

Best regards,

Mauro Sanchez, ScD

Associate Editor

PLOS Neglected Tropical Diseases

Gerson Penna

Deputy Editor

PLOS Neglected Tropical Diseases

***********************************************************

Reviewer's Responses to Questions

Key Review Criteria Required for Acceptance?

As you describe the new analyses required for acceptance, please consider the following:

Methods

-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?

-Is the study design appropriate to address the stated objectives?

-Is the population clearly described and appropriate for the hypothesis being tested?

-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?

-Were correct statistical analysis used to support conclusions?

-Are there concerns about ethical or regulatory requirements being met?

Reviewer #1: The authors have adjusted the methods section well according to reviewer suggestions.

Reviewer #3: (No Response)

**********

Results

-Does the analysis presented match the analysis plan?

-Are the results clearly and completely presented?

-Are the figures (Tables, Images) of sufficient quality for clarity?

Reviewer #1: The presentation of results has improved significantly according to reviewer suggestions.

Reviewer #3: (No Response)

**********

Conclusions

-Are the conclusions supported by the data presented?

-Are the limitations of analysis clearly described?

-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?

-Is public health relevance addressed?

Reviewer #1: The discussion and conclusions have improved markedly and are now concise and to the point.

Reviewer #3: (No Response)

**********

Editorial and Data Presentation Modifications?

Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.

Reviewer #1: Accept

Reviewer #3: Line 190 "tenderness and the presence of acid-fast bacilli in a slit-skin smear" needs a little correction.

The presence of bacilli is not necessary to establish the diagnosis of leprosy. To better clarify, as a suggestion:

"with or without tenderness and with or without the presence of acid-fast bacilli in a slit-skin smear."

**********

Summary and General Comments

Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.

Reviewer #1: I think that the revised manuscript now better highlights the fact that unexpected relatively high numbers of new cases are found through active case finding in endemic districts and its relevance for leprosy control measures. There is now less (unnecessary) emphasis on statistical analyses, which distracted from the main message of the paper.

Reviewer #3: Congratulations on the excellent work.

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #3: No

PLoS Negl Trop Dis. doi: 10.1371/journal.pntd.0009640.r004

Acceptance letter

Mauro Sanchez, Gerson Oliveira Penna

4 Aug 2021

Dear Mr URGESA,

We are delighted to inform you that your manuscript, "Evidence for hidden leprosy in a high leprosy-endemic setting, Eastern Ethiopia: the application of active case-finding and contact screening," has been formally accepted for publication in PLOS Neglected Tropical Diseases.

We have now passed your article onto the PLOS Production Department who will complete the rest of the publication process. All authors will receive a confirmation email upon publication.

The corresponding author will soon be receiving a typeset proof for review, to ensure errors have not been introduced during production. Please review the PDF proof of your manuscript carefully, as this is the last chance to correct any scientific or type-setting errors. Please note that major changes, or those which affect the scientific understanding of the work, will likely cause delays to the publication date of your manuscript. Note: Proofs for Front Matter articles (Editorial, Viewpoint, Symposium, Review, etc...) are generated on a different schedule and may not be made available as quickly.

Soon after your final files are uploaded, the early version of your manuscript will be published online unless you opted out of this process. The date of the early version will be your article's publication date. The final article will be published to the same URL, and all versions of the paper will be accessible to readers.

Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.

Best regards,

Shaden Kamhawi

co-Editor-in-Chief

PLOS Neglected Tropical Diseases

Paul Brindley

co-Editor-in-Chief

PLOS Neglected Tropical Diseases

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Response to reviewers.doc

    Data Availability Statement

    The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the manuscript.


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