International Journal of Community Medicine and Public Health

Okoh EE et al. Int J Community Med Public Health. 2025 May;12(5):2019-2028

http://www.ijcmph.com

pISSN 2394-6032 | eISSN 2394-6040

Pattern and predictors of lepra reactions among patients treated for leprosy in southeast Nigeria: a mixed methods study

Emeka E. Okoh1*, Inumanye N. Ojule2, Linda O. Amah3, Joel C. Okoh4, Nnaemeka E. Sibeudu1, Stella I. Oduwegwu5


1Department of Community Medicine and Primary Care, Nnamdi Azikiwe University Teaching Hospital, Nnewi, Anambra State, Nigeria

2Preventive and Social Medicine Department, School of Graduate Studies, University of Port Harcourt, Nigeria

3Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, United Kingdom

4St. Sylvester Specialist Hospital and Urology Centre, Nsukka, Enugu State, Nigeria

5Ambience Care Limited, Slough, Berkshire, SL1 1EL, United Kingdom

Received: 22 February 2025

Revised: 16 April 2025

Accepted: 17 April 2025

*Correspondence:

Dr. Emeka E. Okoh,

E-mail: emekaokoh83@gmail.com

Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

ABSTRACT

Background: Lepra reactions occur among patients treated for leprosy. This study aimed to assess the pattern and predictors of lepra reactions in southeast Nigeria.

Methods: This is a convergent parallel mixed-methods study that determined the pattern and explored the experiences of leprosy patients. Participants were recruited by cluster sampling technique. Chi-square test and binary logistic regression analysis were done. In addition, in-depth and key informant interviews were conducted.

Results: There were 71 participants in total, comprising 35 males (49.3%) and 36 females (50.7%) with a mean age of 60.39±16.327. The prevalence of type 1 and type 2 lepra reactions were 59.2% (95% CI 47.14-70.17) and 35.2% (95% CI 27.30-50.07) respectively. Type 1 lepra reaction (LR) was significantly associated with gender (p<0.023) and farming (p<0.044). Furthermore, Paucibacillary leprosy (PB) was significantly associated with both types 1 (p<0.022) and 2 (p<0.011) lepra reactions. Type of diagnosis (PB) was a significant predictor of type 1 LR 5.89 (95% CI 1.58 - 21.99) and type 2 LR 8.76 (95% CI 1.67-46.15). Worsening and new lesions led to discrimination and stigmatization for leprosy survivors.

Conclusions: Lepra reactions are common among leprosy patients in southeast Nigeria. Male gender, farming and PB leprosy were found to be predictors of leprosy reactions.

Keywords: Lepra reactions, Lepra type 1, Lepra type 2, Leprosy, Pattern, Predictors

INTRODUCTION

Leprosy is a chronic disease classified as a neglected tropical disease (NTDs) by the World Health Organization (WHO).1,2 Due to the stigma, shame and fear, it is often under-reported. Paralysis is common in leprosy, resulting from nerve damage caused by Mycobacterium leprae and immune responses during treatment, known as lepra reactions (LR).3,4 Lepra reactions are classified into type 1 (reversal reaction), which worsens existing skin lesions and type 2 (Erythema Nodusum Leprosum), which involves new lesions and systemic symptoms.5–8

Studies done in Southeast Asia and America show that factors like age, delayed diagnosis, treatment duration and comorbidities influence leprosy reactions.4,9,10 However, data from Southeast Nigeria remains limited. This study aimed to assess the pattern and predictors of LR among leprosy patients treated with WHO multidrug therapy (MDT) in selected treatment facilities in Southeast Nigeria.

METHODS

Study design

This study employed a cross-sectional descriptive design with a convergent parallel mixed-methods approach, collecting both quantitative and qualitative data simultaneously.

Study place

This study is part of a larger research conducted in the Southeast geopolitical region of Nigeria between 12th July 2022 to 9th September 2022, in Anambra and Enugu states.

In Anambra, research sites included Nnamdi Azikiwe University Teaching Hospital (NAUTH) and the Okija leprosy settlement. In Enugu, the study was conducted at the largest of the state’s four facilities -the Oji River Leprosy settlement, which receives international support.

Study population

The target population included patients who completed 5-month treatment for paucibacillary (PB) leprosy, 10-month treatment for multibacillary (MB) leprosy, naïve patients, defaulters, those discharged from facilities, those who had relapsed after treatment and those still residing in settlements post-treatment.

Inclusion criteria

This study included participants aged 18 or above who consented, those treated and discharged within the past 5 years and patients actively receiving care in the facilities, including relapse cases.

Exclusion criteria

Terminally or mentally ill patients and those who demanded financial compensation for participation were excluded.

Sample size determination

The sample size was calculated using the "single proportion formula for sample size determination"11 with a prevalence of 0.014, the last available prevalence of leprosy from a 2008 cross-sectional study in Kaduna state, Nigeria.12 The estimated sample size was 2,981. However, due to dwindling diagnosis and enrollment for treatment and financial constraints, this study recruited only 71 patients over the study period.

Sampling technique

A cluster sampling technique was used in this study. The five states in southeast Nigeria namely Enugu, Ebonyi, Abia, Imo and Anambra were initially selected. Enugu and Anambra were ultimately selected. Of the eight identified treatment facilities in these states, four were randomly chosen. Due to logistical and financial limitations, the study was conducted in three out of the four. All eligible patients present during the study period were included.

Study instrument and data collection

An interviewer-administered questionnaire was developed and a biostatistician reviewed it for clarity and alignment with the research questions. Data on patients’ biodata, outcome variables and treatment experiences were collected. WHO operational definitions of 1LR, 2LR, PB and MB leprosy were used in this study.

For the qualitative component, two interview guides were developed: one for patients/completed treatment participants and another for health workers. Both tools were validated by NAUTH health workers and pretested.

Analysis

Quantitative analysis

Quantitative data collected through Google form were downloaded into Microsoft Excel and later, exported to the Statistical Package for Social Sciences (SPSS) version 25 for analysis. Categorical data were expressed as percentages. Chi-square test was used to assess associations between outcome variables (lepra types 1 and 2 reactions) and exposure variables. Associations with p-value ≤ 0.05 were considered significant. Significant exposure variables were included in binary logistic regression analyses.

Qualitative analysis

Grounded theory approach was used in this study. Qualitative data from audio-recorded interviews were transcribed and coded with Nvivo software using Braum and Clarke’s thematic analysis. This involved familiarization, followed by code development, then identifying themes and sub-themes. Only themes related to leprosy reactions were reported from the larger study.

Ethical considerations

Ethical approval for this study (reference number: NAUTH/CS/66/VER.3/127/2023/063) was obtained from the Research and Ethics Committee of Nnamdi Azikiwe University Teaching Hospital (NAUTHHREC). Informed consent was obtained verbally before enrollment and questionnaire administration.

RESULTS

Sociodemographic characteristics of respondents

A total of 71 participants were recruited, with a mean age of 60.39 ± 16 years. Most respondents (30/71; 42.3%) were between 41 and 60 years old. There was nearly equal representation of male (35/71; 49.3%) and female (36/71; 50.7%) genders. Most participants were unemployed (36/71; 50.7) and majority of those working were farmers (22/71; 31%). About 45% (32/71) had no formal education, while the majority with an education had only primary education (22/71; 31.0%). Table 1 provides these details.

Furthermore, most of the participants were naïve leprosy patients (61/71; 85.9%), followed by relapse cases (8/71; 11.3%) and treatment after default (2/71; 2.8%). Patients who received MDT for more than 12 months constituted majority of participants (47/71; 66.2%) while the least was represented by those who had treatment for 6 months. (5/71; 7.0%)

Occurrence of lepra reactions

In this study, both types of lepra reactions were reported, with type 1 occurring more frequently than type 2 reaction. Figure 1 shows the proportion of patients with type 1 reaction at 59.2%, (42/71), type 2 reaction at 35.2% (25/71) and those without reactions at 5.6% (4/71).

Comorbidities and side effects associated with leprosy reactions

Some respondents had comorbidities while undergoing leprosy treatment. Table 2 shows that most patients did not have comorbidities (60/71; 84.4%), but among those with comorbidities, hypertension was the most common (6/71; 8.4%).

Table 3 lists the side effects and adverse reactions associated with MDT: anaemia (4/71; 5.6%), darkened skin (21/71; 33.8%), fever (3/71; 4.2%), jaundice (3/71; 4.2%), reddish urine (39/71; 54.9%), vomiting (2/71; 2.8%), diarrhoea (1/71; 1.4%) and nausea (1/71; 1.4%).

Figure 2 shows that majority of the participants did not have any residual impairments (39/77;55%). Among participants with impairment after discharge from treatment, the majority had worsening of old lesions (13/77; 18%), followed by those with muscle weakness (10/77; 14%), then those with social problems, especially discrimination and anxiety (5/77; 7%) and lastly those with unusual sensations (4/71; 6%).

Factors that influence lepra 1 reaction

The Chi-square test revealed a significant association between type 1 lepra reaction and female gender (p< 0.023), occupation (p<0.044), slit examination (p< 0.005) and PB (p< 0.022), as shown in Table 4.

As shown in Table 5, binary logistic regression indicated that male gender (aOR 0.23 95% CI 0.07–0.76) and farming (aOR 0.19 95% CI 0.04 –0.81) influence type 1 LR slightly. Additionally, patients with PB leprosy had a higher risk of developing lepra type 1 LR compared to those with MB leprosy (aOR 5.89 95% CI 1.58–21.99).

Figure 1: Prevalence of lepra reactions among study participants. | 59.2% 35.2% 5.6% Prevalence of Lepra Reactions lepra type 1 lepra type 2 None
Figure 1: Prevalence of lepra reactions among study participants.
Figure 2: Residual impairments after treatment. | 18% 6% 14% 7% 55% Residual impairments after treatment Worsening of old lesions Unusual sensations Any muscle weakness Social problems No symptoms
Figure 2: Residual impairments after treatment.

Factors that influence lepra 2 reaction.

Table 6 shows a significant association between type 2 reaction and PB leprosy (p<0.011) on Chi-square test. Binary logistic regression analysis, as shown in Table 7, indicates that PB patients are at greater risk of developing type 2 LR compared to MB leprosy patients (aOR 8.77 95% CI 1.67–46.15). Other variables were not significantly associated with type 2 LR.

Interview results

Key informant and in-depth interviews were conducted with patients and selected staff involved in the leprosy programme. Participants included three patients, a public health expert, a chief nursing officer, a leprosy focal doctor and a pharmacist technician.

Occurrence of lepra reactions

Most participants experienced leprosy reactions erroneously perceived them as adverse reactions. For instance, one participant reported. “When I was taking those drugs, I noticed that my wounds were getting worse and my skin was getting darker. I was encouraged to continue taking my drugs as the wounds will get better over time.”

Comorbidities and lepra reactions

When asked about his knowledge of lepra reactions, one health worker reported. “I am not sure about what lepra reactions are, but I know that the patients sometimes react to the drugs, especially those that have infections caused by the wounds and this oftentimes makes them to be very sickly; If they keep taking the drugs for some time, they will get better.”

Adverse/side effects of medications used in Leprosy treatment

Regarding side effects, one health worker remarked. “They used to have skin discolorations and some of them gain excess weight during treatment”.

Another health worker reported “In the course of management, there may be adverse effects like moon face due to prednisolone, weight gain, change in complexion. In one patient, her weight became times two. One had pruritus. One came with joint pains for which he was evaluated for rheumatoid arthritis. This patient is also a sickle cell patient.”

Impact of leprosy reactions after treatment

According to a 40-year-old leprosy survivor, “Because of the wound, you will have people who will stigmatize you. As long as you have a deformity, when you go home, you are stigmatized and you will die as a result of it. For me now, if I go to the village, I use to experience stigmatization over there.

They still see me as having leprosy. Those who returned home after treatment did not stay up to 1 year before they died as a result of stigmatization. The people who get to survive longer are those who do not have deformities and people do not know that they are deformed”. Lepra reactions have devastating impacts on patients and affect their ability to resume daily activities.

Table 1: Socio-demographic characteristics of respondents.
Table reproduced from source PDF page 4, part 1 of 2
Table reproduced from source PDF page 5, part 2 of 2
Table 2: Comorbidities in patients treated in Southeast Nigeria.
Table reproduced from source PDF page 5
Table 3: Adverse effects experienced during treatment.
Table reproduced from source PDF page 5
Table 4: Bivariate analysis of type 1 lepra reaction and some selected variables.
Table reproduced from source PDF page 5, part 1 of 2
Table reproduced from source PDF page 6, part 2 of 2

**Very significant with p</=0.005; * Significant with p</=0.05.

Table 5: Binary logistic regression analysis of lepra type 1 reaction and some selected exposure variables.
Table reproduced from source PDF page 6, part 1 of 2
Table reproduced from source PDF page 7, part 2 of 2

**Very significant with p</= 0.005; * Significant with p</= 0.05; CI – confidence interval; cOR=crude odds ratio; aOR= adjusted odds ratio.

Table 6: Bivariate analysis of Type 2 reactions and some selected exposure variables.
Table reproduced from source PDF page 7

*Significant with p≤0.05.

Table 7: Binary logistic regression between type 2 reaction and some selected exposure variables.
Table reproduced from source PDF page 8

* Significant with p≤0.05; NA- not available; cOR-crude odds ratio; aOR-adjusted odds ratio; CI–confidence interval.

DISCUSSION

To our knowledge, this is the first study in Nigeria to examine the pattern and predictors of lepra reactions among leprosy patients in the Southeast. The mean age of participants reflects the delayed onset of leprosy and lepra reactions, consistent with the long incubation period of Mycobacterium leprae.13 Unlike previous research reporting a male predominance (1.5:1), our study showed a nearly equal gender distribution.13,15 About 45 percent of the participants experienced impairments, including worsening of old lesions, suggestive of persistent type 1 LR and psychosocial challenges.

Other studies carried out in southeastern Nigeria and other parts of the world have reported similar findings.16-20 Most respondents (74%) were treated for MB leprosy, consistent with findings that untreated PB leprosy can progress to MB leprosy. Compared to studies from Brazil, India, Nepal and Thailand, where type 1LR ranged from 30 percent and type 2 LR from 19-26%, this study reported a higher overall occurrence.21-25 Type 1 LRs accounts for 59.2 percent of cases, nearly double the 35.2 percent for type 2 LRs, which differs from the findings of Motta et al, who reported more type 2 (34.6%) than type 1 reactions (19.6 percent).4

This study identified coinfections and comorbidities but none showed a significant association with either type of lepra reaction. Similarly, a larger Brazilian study found coinfections in 39.1 percent of participants, including oral infections.4

The complications reported in our study were worsening symptoms and muscle weakness, likely linked to lepra reactions and paralysis resulting from delayed presentation and treatment.23,26–28 These complications, which significantly impact quality of life, have been widely documented in other studies.29–32

This study found an association between male gender and type 1 reaction but not with type 2 reaction. After adjusting for confounders (age, treatment centres, occupation and diagnosis), binary logistic regression showed that males appeared to be more protected against type 1 reactions. This aligns with earlier studies highlighting the roles of genetics34 and hormones, particularly estrogen, in susceptibility to infections like leprosy and lupus.35–37

Most participants were farmers and an initial association was observed between farming and type 1 reaction. While a systematic review has reported higher leprosy rates among manual laborers and farmers, after adjusting for confounders, farmers had a lower risk of developing type 1 reactions compared to other occupations.38

Furthermore, PB leprosy was significantly associated with both types 1 and 2 reactions. After adjusting for confounders, patients with PB were found to be 6 times more likely to develop type 1 reaction and 9 times more likely to develop type 2 reaction. This contrasts with a 2015 retrospective study in India, which found no link between reaction type and diagnosis.39

Qualitative findings of this study highlight challenges unique to African leprosy patients, including late treatment, poor drug adherence due to side effects, coinfections, comorbidities and persistent stigma.40 Lepra reactions continue to pose significant challenges, especially post-treatment. Their debilitating effects underscore the need for further research in this area.

Limitations

This study was conducted in only three facilities across two states in Nigeria. Some centres were excluded due to lack of patients, limited resources and logistical risks.

These factors affected the study’s sample size and power and hence, a larger study is highly recommended.

CONCLUSION

Lepra reactions are common among patients treated for leprosy in Southeast Nigeria. This study found that occupation, gender and a diagnosis of PB leprosy are associated with LR. In addition, leprosy patients with few skin lesions in Southeast Nigeria are more at risk of developing all types of lepra reactions. Men have a lower chance of developing lepra reactions. Further studies need to be done to explore these findings.

Funding: No funding sources

Conflict of interest: None declared

Ethical approval: The study was approved by the Institutional Ethics Committee

REFERENCES

  1. 1. World Health Organization. Ending the neglect to attain the Sustainable Development Goals: a road map for neglected tropical diseases 2021–2030. InEnding the neglect to attain the sustainable development goals: a road map for neglected tropical diseases 2021–2030 2020.
  2. 2. Santé O. World Health Organization. Global leprosy update, 2017: reducing the disease burden due to leprosy–situation de la lèpre dans le monde, 2017: reduction de la charge de morbidité due à la lèpre. Wkly. Epidemiol Rec. 2018:445-56.
  3. 3. Scollard D, Joyce MP, Gillis TP. Development of leprosy and type 1 leprosy reactions after treatment with infliximab: a report of 2 cases. Clinical Infectious Diseases. 2006;43(2):19-22.
  4. 4. Motta ACF, Pereira KJ, Tarquínio DC, Vieira MB, Miyake K, Foss NT. Leprosy reactions: Coinfections as a possible risk factor. Clinics. 2012;67(10):1145-8.
  5. 5. Nery C, Machado AM, Bernardes Filho F, Oliveira SC, Quintanilha J, Sales AM. Compreender melhor o estado reacional tipo 1 para o diagnóstico e tratamento precoces: Uma forma de se evitar as incapacidades na hanseníase. An Bras Dermatol. 2013;88(5):787-92.
  6. 6. Parks K. Park’s Textbook of Preventive and Social Medicine. 26th ed. Banarsidas Bhanot. 2021.
  7. 7. Polycarpou A, Walker SL, Lockwood DNJ. A systematic review of immunological studies of erythema nodosum leprosum. Front Immunol. 2017;8:56.
  8. 8. Rahul N, Sanjay KS unee., Singh S. Effectiveness of Methotrexate in prednisolone and thalidomide resistant cases of Type 2 lepra reaction: report on three cases. Lepr Rev. 2015;86(4):379-82.
  9. 9. Tabassum S, Zia M, Khoja AA, David J, Iqbal M, Junaid M. Lepra reactions: A study of 130 cases from Pakistan. J Pak Med Assoc. 2021;71(10):2317-20.
  10. 10. Alencar JF, Barbosa JC, Pereira TM, Santos SO, Eggens KH, Heukelbach J. Leprosy reactions after release from multidrug therapy in an endemic cluster in Brazil: patient awareness of symptoms and self-perceived changes in life. Cad Saúde Coletiva. 2013;21(4):450-6.
  11. 11. Goyal, RC.Datta Meghe institute of medical sciences, Wardhha, Maharashatra I. Research Methodology for Health Professionals. First. Jaypee Brothers. 2013.
  12. 12. Mustapha G, Olusegu OJ, Mustapha S. Leprosy Elimination: Progress and Challenges in Nigeria; Kaduna State. Kaduna State TB & Leprosy Control Programme Lagos State University Teaching Hospital (LASUTH) Ikeja Lagos. 2012;6:5-9.
  13. 13. Celestino IC, Antunes DE, Santos DF, Gimenes VL, de Souza FM, Goulart IMB. Adverse reactions induced by MDT/WHO (Rifampicin+Clofazimine+ Dapsone) and ROM (Rifampicin+Ofloxacin+ Minocycline) regimens used in the treatment of leprosy: a cohort study in a National Reference Center in Brazil. Front Pharmacol. 2024;15:1-9.
  14. 14. Quyum F. Leprosy Reactions: Frequency and Risk Factors. Clin Dermatology Ther. 2016;3(1):1-3.
  15. 15. Sasaki S, Takeshita F, Okuda K. Mycobacterium leprae and Leprosy. A Compendium. 2001;45(11):729-36.
  16. 16. Chukwu JN, Ekeke N, Nwafor CC, et al. Worsening of the disability grade during leprosy treatment: prevalence and its determinants in Southern Nigeria. Trans R Soc Trop Med Hyg. 2018;112(11):492-9.
  17. 17. Onyeonoro UU, Centre FM. Pattern of disabilities among leprosy patients in Abia state, Nigeria-a retrospective review pattern of disabilities among leprosy patients in Abia State, Nigeria. Retrospective Rev. 2016;3:560-9..
  18. 18. Rodrigues NC, Castro LE, Silva JG, et al. Physical disability and its social and functional repercussions in patients with leprosy after discharge from multidrug therapy. Lepr Rev. 2017;88(1):85-94.
  19. 19. Marissa M, Menaldi SL. Factors contributing to activity limitations in Leprosy patients in Sitanala Leprosy Village, Indonesia. Published online. 2022:103-8.
  20. 20. Nardi SMT, Paschoal VDA, Zanetta DMT. Social participation of people affected by leprosy after discontinuation of multidrug therapy. Lepr Rev. 2011;82(1):55-64.
  21. 21. Gaschignard J, Grant AV, Thuc N Van, et al. Pauci- and Multibacillary Leprosy: Two Distinct, Genetically Neglected Diseases. PLoS Negl Trop Dis. 2016;10(5):1-20.
  22. 22. Teixeira MAG, da Silveira VM, de França ER. Characteristics of leprosy reactions in paucibacillary and multibacillary individuals attended at two reference centers in Recife, Pernambuco. Rev Soc Bras Med Trop. 2010;43(3):287-92.
  23. 23. De Castro LE, Da Cunha AJ, Fontana AP, Halfoun VL, Gomes MK. Physical disability and social participation in patients affected by leprosy after discontinuation of multidrug therapy. Leprosy review. 2014;85(3):208-17.
  24. 24. Kahawita IP, Lockwood DNJ. Towards understanding the pathology of erythema nodosum leprosum. Trans R Soc Trop Med Hyg. 2008;102(4):329-37.
  25. 25. de Andrade Rodrigues RS, Heise EFJ, Hartmann LF, et al. Prediction of the occurrence of leprosy reactions based on Bayesian networks. Front Med. 2023;10:1-10.
  26. 26. Nardi Assis BP, Lyon S, De Faria Grossi MA, Da Costa Rocha MO. Risk factors for physical disability upon release from multidrug therapy in new cases of leprosy at a referral center in Brazil. Rev Inst Med Trop Sao Paulo. 2019;61(9):18-9.
  27. 27. Okoh EE, Ojule IN, Amah LO, Okoh JC, Sibeudu NE, Oduwegwu SI. Pattern and predictors of lepra reactions among patients treated for leprosy in southeast Nigeria: A mixed methods Study. 2025.
  28. 28. Mehta H, Jain S, Narang T, Chhabra S, Dogra S. Leprosy reactions: New knowledge on pathophysiology, diagnosis, treatment and prevention. Indian J Dermatol, Venereol Leprol. 2024;5:1-2.
  29. 29. Mankar MJ, Joshi SM, Velankar DH, Mhatre RK, Nalgundwar AN. A comparative study of the quality of life, knowledge, attitude and belief about leprosy disease among leprosy patients and community members in Shantivan Leprosy Rehabilitation centre, Nere, Maharashtra, India. J Glob Infect Dis. 2011;3(4):378-82.
  30. 30. Calidad LA, Pacientes DEVDELOS, Lepra CON. The quality of life of patients with chronic leprosy. J Nurs. 2015;9(6):8165-71.
  31. 31. Martins BDL, Torres FN, De Oliveira MLWDR. Impact on the quality of life of patients with Hansen’s disease: Correlation between Dermatology Life Quality Index and disease status. An bras Dermatol. 2008;83(1):39-43.
  32. 32. Joseph GA, Rao PSSS. Impact of leprosy on the quality of life. 1999;77(19):515-7.
  33. 33. Balagon MVF, Gelber RH, Abalos RM, Cellona R V. Reactions following completion of 1- and 2-year multidrug therapy (MDT). Am J Trop Med Hyg. 2010;83(3):637-44.
  34. 34. Berrington WR, Macdonald M, Khadge S, et al. Common polymoiphisms in the NOD2 gene region are associated with leprosy and Its reactive states. J Infect Dis. 2010;201(9):1422-35.
  35. 35. Styrt B, Sugarman B. Estrogens and infection. Rev Infect Dis. 1991;13(6):1139-50.
  36. 36. Martinelli S, Nannini G, Cianchi F, Coratti F, Amedei A. The Impact of Microbiota–Immunity–Hormone Interactions on Autoimmune Diseases and Infection. Biomed. 2024;12(3):1-25.
  37. 37. Hafner LM, Cunningham K, Beagley KW. Ovarian steroid hormones: Effects on immune responses and Chlamydia trachomatis infections of the female genital tract. Mucosal Immunol. 2013;6(5):859-75.
  38. 38. Pescarini JM, Strina A, Nery JS. Socioeconomic risk markers of leprosy in high-burden countries: A systematic review and meta-analysis. PLoS Negl Trop Dis. 2018;12(7):1-20.
  39. 39. Verma K, Gupta M, Sharma RK. The scenario of Lepra reaction at the Tertiary Level Hospital in a Hilly State and our experience with its management. Our Dermatol Online. 2020;11(3):238-42.
  40. 40. Ebenso B, Newell J, Emmel N, Adeyemi G, Ola B. Changing stigmatisation of leprosy: An exploratory, qualitative life course study in Western Nigeria. BMJ Glob Heal. 2019;4(2):1-12.