Schistosomiasis is a poverty-related and neglected tropical disease that mainly affects impoverished rural communities in developing countries.1,2 Six Schistosoma species cause human schistosomiasis, with S. haematobium, S. mansoni and S. japonicum being the most medically important.3 According to 2021 estimates by the World Health Organization (WHO), over 251 million people worldwide were in need of preventive chemotherapy with praziquantel (PZQ) to reduce and prevent associated morbidity.4 Various factors, including limited access to safe water, inadequate sanitation, engagement in agricultural activities and poor water contact practices, are linked to infection in rural areas.
Despite continuous prevention and control efforts in Yemen, schistosomiasis remains a major public health problem. The country launched a nationwide Schistosomiasis Control Project (SCP) in 2010,5 aiming to reduce infection prevalence and intensity through mass drug administration (MDA) with PZQ. However, there have been reports of foci with high prevalence in endemic areas.6–10 In 2014, nationwide schistosomiasis mapping among school-age children (SAC) revealed that infection rates with Schistosoma species exceeded the treatment threshold of ≥10% in approximately one-third of districts endemic for schistosomiasis.10 It is estimated that more than 3.6 million individuals, including over 3 million SAC, required preventive chemotherapy in 2022.11 However, nearly 2.9 million individuals received preventive chemotherapy with PZQ, including over 2.2 million SAC, achieving national coverage rates of 78.7% for all ages and 74.2% for SAC.11
Previously, in the late 1980s, S. haematobium infection was found to be prevalent among 28.9% of schoolchildren in Amran governorate, north of Sana’a, with Bulinus snails transmitting S. haematobium being more common than Biomphalaria snails that transmit S. mansoni.12 In 2005, 58.9% of schoolchildren and the general population in Khamir district of Amran were found to be infected with S. haematobium.13 After multiple rounds of school-based MDA with PZQ, the prevalence of S. haematobium infection among SAC in Kharif district dropped to 8.3%, as revealed by the nationwide mapping in 2014.14 However, due to unrest in the country, the prevalence of infection among SAC in the district has not been updated since then, although infection prevalence is crucial in deciding whether to treat all at-risk individuals or only SAC and special risk groups.15 Therefore, this study aimed to determine the prevalence and intensity of S. haematobium infection along with the identification of the associated risk factors among children enrolled in primary schools in Kharif district, Amran governorate.
Methods Study Design, Population and SettingA cross-sectional survey was conducted among schoolchildren aged 7 to 15 years in Kharif district in December 2021. The district is located in the southeastern part of Amran governorate (Figure 1), north of the capital city of Sana’a, at the coordinates 15°55′N 44°10′E. It spans an area of 264.8 km2 and has a population of over 63,000 people,16 with agriculture being the main activity of the population. Schistosomiasis is endemic in this district, most predominantly with S. haematobium.13
Figure 1 Map of Yemen showing the locations of Amran governorate and Kharif district.
Sample Size and Sampling ApproachA minimum sample size of 401 schoolchildren was determined using OpenEpi, version 3.01 (www.openepi.com). This calculation was based on an expected prevalence of 50% as a conservative approach, a confidence level of 95%, a precision of 6%, and a design effect of 1.5. However, to enhance the precision of the study’s estimates, the sample size was increased to 529 children. A two-stage cluster sampling approach was employed, with schools serving as study clusters. First, six schools were selected at random from a compiled list of schools in the district. Second, children were randomly selected using systematic random sampling based on student records in the selected schools. In cases where a child refused to participate or was absent, they were replaced by the next child on the record.
Data CollectionData on children’s demographics, clinical features, behaviors, and environmental factors related to schistosomiasis were collected using a structured, reviewer-administered questionnaire. The questionnaire included questions on sociodemographic and clinical characteristics of children, source of drinking water, infection-related behaviors and environmental factors, as well as parasitological and laboratory results of urine examination.
Urine Collection and ExaminationChildren were instructed to collect urine samples in pre-labeled 20-mL screw-capped containers between 10 am and 2 pm. After collection, urine was visually inspected for hematuria and chemically tested for microhematuria using reagent strips (ACON Laboratories, San Diego, California, USA), according to the instructions provided by the manufacturer. The urine containers were then immediately transported to the laboratory of Dhibin Rural Hospital for parasitological examination. Urine samples were concentrated using the filtration technique and then examined for S. haematobium eggs under a light microscope.17,18 The intensity of infection was determined by quantifying the number of eggs per 10 mL of urine (EP10mL),17,18 which was then classified as light (≤50 EP10mL) or heavy (>50 EP10mL).19
Data AnalysisData were analyzed using IBM SSPS Statistics, version 22.0 (IBM Corp., Armonk, NY, USA) at a significance level of <0.05. Categorical data were described using frequencies and percentages, while non-normally distributed continuous data were summarized using the median and interquartile range (IQR). The overall prevalence of S. haematobium infection was reported with a 95% confidence interval (CI). Subsequently, the classification based on WHO guidelines20 was employed to ascertain the level of infection risk in the district. Briefly, the risk level was classified as low if the prevalence was ≥1% to <10%, moderate if the prevalence was ≥10% to <50%, and high if the prevalence was ≥50%.20 The geometric mean egg count (GMEC) of S. haematobium was calculated and reported as EP10mL, along with its 95% CI. To test the association between S. haematobium infection and independent variables, univariate analysis was performed using Pearson’s chi-square or Fisher’s exact test, as appropriate, along with the odds ratios (ORs) and corresponding 95% CIs of associations. Then, multivariable binary logistic regression was used to identify independent predictors of infection, along with their adjusted ORs (AORs) and 95% CIs.
Ethical ConsiderationsThis study complies with the ethical principles outlined in the Declaration of Helsinki concerning research involving human subjects. The Postgraduate Research Committee of the Faculty of Medicine and Health Sciences at Sana’a University reviewed and approved the study protocol. Following a clear explanation of the study purpose, written informed consent was obtained from the children’s parents or legal representatives. In addition, children’s assent to participate voluntarily was obtained. The confidentiality of participants and the privacy of their personal information were ensured.
Results Study Population CharacteristicsMost schoolchildren were males (84.5%), and more than half were older than 10 years, with a median age (IQR) of 11 (4) years. More than half of the children’s households consisted of more than five members, with a median household size (IQR) of 6 (4) members. The fathers of most children were literate (73.9%) and unemployed (78.4%), while the mothers of most children were illiterate (76.6%) (Table 1).
Table 1 Characteristics of Schoolchildren Enrolled in the Study*
Prevalence and Intensity of S. haematobium InfectionInfection with S. haematobium was prevalent among 34.8% (184/529; 95% CI: 30.7–38.8) of schoolchildren in Kharif district, corresponding to a moderate level of risk. For S. haematobium infections, the GMEC was 3.8 EP10mL (95% CI: 4.2–5.4). All infections exhibited a light intensity, ranging in EP10mL counts from 1 to 34.
Clinical Features Associated with S. haematobium InfectionMicrohematuria (P <0.001) and self-reported dysuria (P = 0.003) were significantly associated with S. haematobium infection among schoolchildren. In contrast, neither macrohematuria nor pollakiuria was associated with the infection (Table 2).
Table 2 Association of Clinical Features with S. haematobium Infection Among Schoolchildren in Kharif District, Amran Governorate, Yemen (2021)
Risk Factors Associated with S. haematobium InfectionFamily ownership of agricultural land was significantly associated with S. haematobium infection among schoolchildren (OR = 1.8; 95% CI: 1.10–3.17; P = 0.030), which was further identified as an independent predictor of infection (AOR = 2.2, 95% CI: 1.21–3.95; P = 0.010). In contrast, S. haematobium infection showed no statistically significant association with gender, age, household size, parental literacy status, father’s employment status, drinking water source, household sanitation facilities, or water contact-related activities (Table 3).
Table 3 Analysis of Risk Factors for S. haematobium Infection Among Schoolchildren in Kharif District, Amran Governorate, Yemen (2021)
DiscussionThe overall prevalence of S. haematobium infection among schoolchildren in Kharif district after repeated rounds of MDA was 34.8%, which was significantly associated with microhematuria and self-reported dysuria. Schoolchildren belonging to families that own agricultural land showed significantly higher odds of infection compared to their counterparts, with family ownership of agricultural land being identified as an independent predictor of infection using multivariable binary logistic regression.
The prevalence of S. haematobium infection among schoolchildren in the present study indicates a moderate level of infection risk, as outlined by WHO guidelines.20 In contrast, the 2014 mapping revealed a low level of infection risk in the district, with only 8.3% of children found to be infected with S. haematobium.14 In comparison, lower S. haematobium infection rates were reported in five Yemeni governorates (23.8%),7 Abyan governorate in the south (18%),21 Taiz governorate in the southwest (7.4%),22 as well as Hajjah and Sadah governorates in the north (1.7% and 3.3%, respectively).23,24 Nevertheless, a higher prevalence of 58.9% was documented in the neighboring Khamir district of the same governorate in 2005.13 Notably, all schoolchildren in the present study had light-intensity infections, which may be due to the repeated rounds of MDA against schistosomiasis under the SCP since 2010.5 In contrast, 87.9% of Nigerian SAC were found to have heavy-intensity S. haematobium infections despite ongoing administration of PZQ.25 It is worth noting that even light-intensity infections can cause subtle morbidities, including growth retardation, anemia, and cognitive impairment.26–28
The high prevalence of S. haematobium in this study is most likely attributed to frequent reinfections in the district, as PZQ does not prevent infection with schistosomes and is ineffective against juvenile schistosomes.29 Post-MDA reinfection with S. haematobium has been documented in several African countries.30–36 Various factors have been identified as predictors of reinfection, including age,31,37–39 prevalence and intensity of infection before chemotherapy,30,34,40 incomplete treatment,31 and proximity to water bodies.41 Furthermore, changes in socioeconomic conditions resulting from armed conflicts and humanitarian crises in Yemen could contribute to S. haematobium transmission in endemic districts, including Kharif. Moreover, the country is among the least developed countries, and its ranking in terms of development and access to basic services has declined in recent years. The United Nations ranked the country 183 out of 191 countries and territories in 2021–2022, compared to 158 in 2012.42 As a result, increased poverty, inadequate sanitation, limited access to safe water, and deteriorated healthcare services may contribute to S. haematobium transmission in endemic areas of the country.
The control strategy for S. haematobium infection in Kharif district needs to be adjusted due to the transition of transmission risk from low to moderate. The approach recommended by WHO is to provide enrolled and non-enrolled SAC with preventive chemotherapy once every two years, rather than providing it twice during their primary school years.20 By expanding treatment to enrolled and non-enrolled SAC, control efforts aim to reach a larger proportion of the affected population and reduce the overall disease burden. However, it is important to recognize that the use of MDA alone may not be sufficient to effectively interrupt transmission, as the present findings suggest. While MDA is a key component in reducing schistosomiasis prevalence and intensity, the changing epidemiology highlights the need for additional interventions to complement MDA efforts. Integration of such interventions may help address the factors contributing to the changing epidemiology of S. haematobium infection. These interventions may include provision of safe water, improved sanitation, snail control, and health education.
The significant association between microhematuria, but not macrohematuria, and S. haematobium infection in the present study could be possibly explained by the fact that the intensity of all infections among children in this study was light. Such a significant association is consistent with findings in several endemic countries.43–48 The WHO Expert Committee on the Control of Schistosomiasis emphasized the utility of microhematuria for determining prevalence, identifying infected people, and assessing the effectiveness of interventions.49 A study in a southern Yemeni village showed high sensitivity (92.9%) and specificity (94%) of reagent strips in diagnosing S. haematobium infection in schoolchildren.21 However, reagent strip sensitivity in communities with light infections is questionable.50 This study also found that self-reported dysuria was significantly associated with S. haematobium infection, aligning with previous findings in Yemen and elsewhere.21,51,52 Using a combination of morbidity markers, such as hematuria and dysuria, can be more effective for rapid diagnosis and mapping of S. haematobium infection.53 However, further investigation is required to assess the utility of this approach in the study district.
The significantly higher infection rate with S. haematobium among schoolchildren from families that owned agricultural land, which was further confirmed as an independent predictor of infection, could be attributed to the fact that children are engaged in irrigated agriculture and are therefore more exposed to the infection. Accordingly, even with repeated rounds of MDA with PZQ, environmental and occupational factors could still play an important role in reinfection and contribute to sustained transmission. Therefore, it is crucial to consider these factors when revisiting the MDA strategy in the study district. Household engagement in irrigated agriculture has been shown to be significantly associated with a higher risk of infection with S. haematobium.54 Paternal occupation as a farmer has also been identified as a predictor of S. haematobium infection in schoolchildren.55,56 The absence of association between other types of water contact activities and S. haematobium infection in this study contradicts findings reported among schoolchildren in Yemen57,58 and elsewhere.59–61 Nevertheless, this finding is consistent with that reported in coastal Kenya.31 On the other hand, the number of household residents was not associated with a higher risk of infection with S. haematobium among children in the present study. Likewise, family size did not show a significant association with schistosomiasis among rural children in Yemen.7
Females in the present study showed a higher rate of S. haematobium infection compared to males, but gender was not significantly associated with the risk of infection. This finding aligns with previous ones among children in Yemen and elsewhere.7,22,62 However, other reports have identified male gender as a predictor of infection.55,57,58,60,63 The discrepancy between the present study and previous findings may be explained by the underrepresentation of female students, who accounted for only 15% of the participants, probably due to the lower enrollment rate of girls in rural districts of the country. Schoolchildren’s age also did not show a significant association with infection in the present study, which contrasts with findings from districts in other Yemeni governorates,7 where schistosomiasis was significantly more frequent in older children. On the other hand, the present study found no significant association between parental illiteracy and S. haematobium infection, which is consistent with a finding among schoolchildren in Ibb governorate.57 In contrast, fathers’ illiteracy was significantly, although not independently, associated with schistosomiasis in rural communities in five Yemeni governorates.7 The absence of a significant association between fathers’ employment status and S. haematobium infection among their children in the present study is consistent with a finding reported for rural children in five Yemeni governorates.7 In the present study, household water sources and sanitation facilities were not significantly associated with S. haematobium infection, which agrees with a finding among schoolchildren in Ibb governorate.57 In contrast, the use of unsafe drinking water sources was identified as an independent predictor of schistosomiasis among rural children from other districts in five Yemeni governorates.7 Differences in the contamination levels of water sources and the quality of sanitation facilities across areas of the country could contribute to these different associations.
The present study provides valuable insights into the transition of S. haematobium infection risk in the study district from low to moderate. Nevertheless, a few limitations should be acknowledged and considered when interpreting its findings. Due to logistic constraints, the study was conducted among enrolled SAC only, potentially introducing selection bias. The study missed capturing data from non-enrolled children, who may have different socioeconomic backgrounds, living conditions and infection-related behaviors compared to enrolled children. Consequently, certain subgroups that could be at a higher risk of infection might be underrepresented, including those from disadvantaged backgrounds. To improve generalizability, a larger sample size than originally required was used to enhance precision in estimating prevalence and associations by narrowing CIs around their estimates. However, it is important to exercise caution when generalizing the study findings to the broader population of children in the district. In addition, future studies involving both enrolled and non-enrolled SAC are recommended to gain a more comprehensive understanding of S. haematobium epidemiology. On the other hand, recall bias might be introduced when collecting self-reported data on clinical features and infection-related behaviors, possibly leading to inaccuracies in recall or reporting by schoolchildren.
ConclusionA considerable proportion of schoolchildren in Kharif district have light-intensity S. haematobium infections, mostly presenting with microhematuria and self-reported dysuria. The district’s level of risk, which was previously classified as low in 2014, should be updated to moderate. Consequently, the chemopreventive control strategy needs to be revised to treat all school-age children, regardless of enrollment status, biennially. Ownership of agricultural land by children’s families can serve as an independent predictor of their likelihood of being infected with S. haematobium.
AcknowledgmentsThe authors thank the directors of the study schools for permission to conduct this study and assistance in selecting the sample of schoolchildren. They also acknowledge the assistance provided by the laboratory staff at Dhibin Rural Hospital in conducting parasitological examinations. The authors sincerely appreciate the participation of the schoolchildren in the study, as well as the consent given by their parents or guardians for their children’s involvement.
DisclosureThe authors report no conflicts of interest in this work.
References1. King CH. Toward the elimination of schistosomiasis. N Engl J Med. 2009;360(2):106–109. doi:10.1056/NEJMp0808041
2. Utzinger J, Raso G, Brooker S, et al. Schistosomiasis and neglected tropical diseases: towards integrated and sustainable control and a word of caution. Parasitology. 2009;136(13):1859–1874. doi:10.1017/S0031182009991600
3. Colley DG, Bustinduy AL, Secor WE, King CH. Human schistosomiasis. Lancet. 2014;383(9936):2253–2264. doi:10.1016/S0140-6736(13)61949-2
4. World Health Organization. Fact sheets: schistosomiasis. 2023. Available from: https://www.who.int/news-room/fact-sheets/detail/schistosomiasis. Accessed November23, 2023.
5. The World Bank. Yemen Schistosomiasis Control Project. Washington, DC: WB; 2018.
6. Abdulrab A, Salem A, Algobati F, Saleh S, Shibani K, Albuthigi R. Effect of school based treatment on the prevalence of schistosomiasis in endemic area in Yemen. Iran J Parasitol. 2013;8(2):219–226.
7. Sady H, Al-Mekhlafi HM, Mahdy MA, Lim YA, Mahmud R, Surin J. Prevalence and associated factors of schistosomiasis among children in Yemen: implications for an effective control programme. PLoS Negl Trop Dis. 2013;7(8):e2377. doi:10.1371/journal.pntd.0002377
8. Al-Haidari SA, Mahdy MAK, Al-Mekhlafi AM, et al. Intestinal schistosomiasis among schoolchildren in Sana’a Governorate, Yemen: prevalence, associated factors and its effect on nutritional status and anemia. PLoS Negl Trop Dis. 2021;15(9):e0009757. doi:10.1371/journal.pntd.0009757
9. Al-Murisi WMS, Al-Mekhlafi AM, Mahdy MAK, Al-Haidari SA, Annuzaili DA, Thabit AAQ. Schistosoma mansoni and soil-transmitted helminths among schoolchildren in An-Nadirah District, Ibb Governorate, Yemen after a decade of preventive chemotherapy. PLoS One. 2022;17(8):e0273503. doi:10.1371/journal.pone.0273503
10. Johari NA, Annuzaili DA, El-Talabawy HF, et al. National mapping of schistosomiasis, soil-transmitted helminthiasis and anaemia in Yemen: towards better national control and elimination. PLoS Negl Trop Dis. 2022;16(3):e0010092. doi:10.1371/journal.pntd.0010092
11. World Health Organization/The Global Health Observatory. Neglected tropical diseases: schistosomiasis. Available from: https://www.who.int/data/gho/data/themes/topics/schistosomiasis. Accessed November27, 2023.
12. Janitschke K, Telher AA, Wachsmuth J, Jahia S. Prevalence and control of Schistosoma haematobium infections in the Amran subprovince of the Yemen Arab Republic. Trop Med Parasitol. 1989;40(2):181–184.
13. Nagi MA. Evaluation of a programme for control of Schistosoma haematobium infection in Yemen. East Mediterr Health J. 2005;11(5–6):977–987.
14. Johari NA. Mapping of Schistosomiasis and Soil-Transmitted Helminths in Yemen, and the Push for Elimination. London: Imperial College London; 2014.
15. World Health Organization. Preventive Chemotherapy in Human Helminthiasis. Coordinated Use of Anthelminthic Drugs in Control Interventions: A Manual for Health Professionals and Programme Managers. Geneva: WHO; 2006.
16. Berghof Foundation, Political Development Forum Yemen. Local Governance in Yemen: resource Hub-Governorates. Available from: https://yemenlg.org/governorates/amran/. Accessed January20, 2024.
17. Peters PA, Warren KS, Mahmoud AA. Rapid, accurate quantification of schistosome eggs via nuclepore filters. J Parasitol. 1976;62(1):154–155. doi:10.2307/3279081
18. World Health Organization. Urine Filtration Technique of Schistosoma haematobium Infection. Geneva: WHO; 1983.
19. WHO Expert Committee. Prevention and control of schistosomiasis and soil-transmitted helminthiasis. World Health Organ Tech Rep Ser. 2002;912:1–57.
20. World Health Organization. Helminth Control in School-Age Children: A Guide for Managers of Control Programmes. Geneva: WHO; 2011.
21. Bassiouny HK, Hasab AA, El-Nimr NA, Al-Shibani LA, Al-Waleedi AA. Rapid diagnosis of schistosomiasis in Yemen using a simple questionnaire and urine reagent strips. East Mediterr Health J. 2014;20(4):242–249. doi:10.26719/2014.20.4.242
22. Al-Shamiri AH, Al-Taj MA, Ahmed AS. Prevalence and co-infections of schistosomiasis/hepatitis B and C viruses among school children in an endemic area in Taiz, Yemen. Asian Pac J Trop Med. 2011;4(5):404–408. doi:10.1016/S1995-7645(11)60113-2
23. Raja’a YA, Mubarak JS. Intestinal parasitosis and nutritional status in schoolchildren of Sahar district, Yemen. East Mediterr Health J. 2006;12(Suppl 2):S189–S194.
24. Alharbi RA, Alwajeeh TS, Assabri AM, Almalki SSR, Alruwetei A, Azazy AA. Intestinal parasitoses and schistosome infections among students with special reference to praziquantel efficacy in patients with schistosomosis in Hajjah governorate, Yemen. Ann Parasitol. 2019;65(3):217–223. doi:10.17420/ap6503.203
25. Enabulele EE, Platt RN, Adeyemi E, et al. Urogenital schistosomiasis in Nigeria post receipt of the largest single praziquantel donation in Africa. Acta Trop. 2021;219:105916. doi:10.1016/j.actatropica.2021.105916
26. King CH, Dickman K, Tisch DJ. Reassessment of the cost of chronic helmintic infection: a meta-analysis of disability-related outcomes in endemic schistosomiasis. Lancet. 2005;365(9470):1561–1569. doi:10.1016/S0140-6736(05)66457-4
27. King CH, Dangerfield-Cha M. The unacknowledged impact of chronic schistosomiasis. Chronic Illn. 2008;4(1):65–79. doi:10.1177/1742395307084407
28. King CH. It’s time to dispel the myth of “asymptomatic” schistosomiasis. PLoS Negl Trop Dis. 2015;9(2):e0003504. doi:10.1371/journal.pntd.0003504
29. McManus DP, Dunne DW, Sacko M, Utzinger J, Vennervald BJ, Zhou XN. Schistosomiasis. Nat Rev Dis Primers. 2018;4(1):13. doi:10.1038/s41572-018-0013-8
30. N’Goran EK, Utzinger J, N’Guessan AN, et al. Reinfection with Schistosoma haematobium following school-based chemotherapy with praziquantel in four highly endemic villages in Côte d’Ivoire. Trop Med Int Health. 2001;6(10):817–825. doi:10.1046/j.1365-3156.2001.00785.x
31. Satayathum SA, Muchiri EM, Ouma JH, Whalen CC, King CH. Factors affecting infection or reinfection with Schistosoma haematobium in coastal Kenya: survival analysis during a nine-year, school-based treatment program. Am J Trop Med Hyg. 2006;75(1):83–92. doi:10.4269/ajtmh.2006.75.83
32. Dejon-Agobe JC, Edoa JR, Honkpehedji YJ, et al. Schistosoma haematobium infection morbidity, praziquantel effectiveness and reinfection rate among children and young adults in Gabon. Parasit Vectors. 2019;12(1):577. doi:10.1186/s13071-019-3836-6
33. Lund AJ, Sokolow SH, Jones IJ, et al. Exposure, hazard, and vulnerability all contribute to Schistosoma haematobium re-infection in northern Senegal. PLoS Negl Trop Dis. 2021;15(10):e0009806. doi:10.1371/journal.pntd.0009806
34. Jin Y, Lee YH, Cha S, et al. Transmission dynamics of Schistosoma haematobium among school-aged children: a cohort study on prevalence, reinfection and incidence after mass drug administration in the White Nile State of Sudan. Int J Environ Res Public Health. 2021;18(21):11537. doi:10.3390/ijerph182111537
35. Trippler L, Ame SM, Hattendorf J, et al. Impact of seven years of mass drug administration and recrudescence of Schistosoma haematobium infections after one year of treatment gap in Zanzibar: repeated cross-sectional studies. PLoS Negl Trop Dis. 2021;15(2):e0009127. doi:10.1371/journal.pntd.0009127
36. Mushi V, Zacharia A, Shao M, Mubi M, Tarimo D. Persistence of Schistosoma haematobium transmission among school children and its implication for the control of urogenital schistosomiasis in Lindi, Tanzania. PLoS One. 2022;17(2):e0263929. doi:10.1371/journal.pone.0263929
37. Chandiwana SK, Woolhouse ME, Bradley M. Factors affecting the intensity of reinfection with Schistosoma haematobium following treatment with praziquantel. Parasitology. 1991;102(Pt 1):73–83. doi:10.1017/S0031182000060364
38. Etard JF, Audibert M, Dabo A. Age-acquired resistance and predisposition to reinfection with Schistosoma haematobium after treatment with praziquantel in Mali. Am J Trop Med Hyg. 1995;52(6):549–558. doi:10.4269/ajtmh.1995.52.549
39. Dabo A, Doucoure B, Koita O, et al. [Reinfection with Schistosoma haematobium and mansoni despite repeated praziquantel office treatment in Niger, Mali]. Med Trop. 2000;60(4):351–355. Danish
40. Etard JF, Borel E, Segala C. Schistosoma haematobium infection in Mauritania: two years of follow-up after a targeted chemotherapy—a life-table approach of the risk of reinfection. Parasitology. 1990;100(Pt 3):399–406. doi:10.1017/S0031182000078689
41. Houmsou RS, Wama BE, Agere H, Uniga JA, Amuta EU, Kela SL. High efficacy of praziquantel in Schistosoma haematobium-infected children in Taraba State, northeast Nigeria: a follow-up study. Sultan Qaboos Univ Med J. 2018;18(3):e304–e310. doi:10.18295/squmj.2018.18.03.007
42. United Nations Development Programme. Human development report 2021–22. New York: UNDP; 2022.
43. Mewabo AP, Moyou RS, Kouemeni LE, Ngogang JY, Kaptue L, Tambo E. Assessing the prevalence of urogenital schistosomaisis and transmission risk factors amongst school-aged children around Mape dam ecological suburbs in Malantouen district, Cameroon. Infect Dis Poverty. 2017;6(1):40. doi:10.1186/s40249-017-0257-7
44. Osakunor DNM, Mduluza T, Midzi N, et al. Dynamics of paediatric urogenital schistosome infection, morbidity and treatment: a longitudinal study among preschool children in Zimbabwe. BMJ Glob Health. 2018;3(2):e000661. doi:10.1136/bmjgh-2017-000661
45. Mduluza-Jokonya TL, Naicker T, Kasambala M, et al. Clinical morbidity associated with Schistosoma haematobium infection in pre-school age children from an endemic district in Zimbabwe. Trop Med Int Health. 2020;25(9):1110–1121. doi:10.1111/tmi.13451
46. Gambo S, Ibrahim M, Oyelami OA, Raymond B. A comparative study on the prevalence and intensity of urinary schistosomiasis among primary (formal) and almajiri (informal) school pupils in kura local government area of Kano State, Nigeria. Niger Postgrad Med J. 2021;28(3):211–217. doi:10.4103/npmj.npmj_605_21
47. Joof E, Sanyang AM, Camara Y, et al. Prevalence and risk factors of schistosomiasis among primary school children in four selected regions of The Gambia. PLoS Negl Trop Dis. 2021;15(5):e0009380. doi:10.1371/journal.pntd.0009380
48. Sumbele IUN, Tabi DB, Teh RN, Njunda AL. Urogenital schistosomiasis burden in school-aged children in Tiko, Cameroon: a cross-sectional study on prevalence, intensity, knowledge and risk factors. Trop Med Health. 2021;49(1):75. doi:10.1186/s41182-021-00362-8
49. World Health Organization. The control of schistosomiasis. Second report of the WHO Expert Committee. World Health Organ Tech Rep Ser. 1993;830:1–86.
50. Degarege A, Animut A, Negash Y, Erko B. Performance of urine reagent strips in detecting the presence and estimating the prevalence and intensity of Schistosoma haematobium infection. Microorganisms. 2022;10(10).
51. Ismail HA, Hong ST, Babiker AT, et al. Prevalence, risk factors, and clinical manifestations of schistosomiasis among school children in the White Nile River basin, Sudan. Parasit Vectors. 2014;7:478. doi:10.1186/s13071-014-0478-6
52. Campbell SJ, Stothard JR, O’Halloran F, et al. Urogenital schistosomiasis and soil-transmitted helminthiasis (STH) in Cameroon: an epidemiological update at Barombi Mbo and Barombi Kotto crater lakes assessing prospects for intensified control interventions. Infect Dis Poverty. 2017;6(1):49. doi:10.1186/s40249-017-0264-8
53. Atalabi TE, Adubi TO, Lawal U. Rapid mapping of urinary schistosomiasis: an appraisal of the diagnostic efficacy of some questionnaire-based indices among high school students in Katsina State, northwestern Nigeria. PLoS Negl Trop Dis. 2017;11(4):e0005518. doi:10.1371/journal.pntd.0005518
54. Lund AJ, Rehkopf DH, Sokolow SH, et al. Land use impacts on parasitic infection: a cross-sectional epidemiological study on the role of irrigated agriculture in schistosome infection in a dammed landscape. Infect Dis Poverty. 2021;10(1):35. doi:10.1186/s40249-021-00816-5
55. Atalabi TE, Lawal U, Ipinlaye SJ. Prevalence and intensity of genito-urinary schistosomiasis and associated risk factors among junior high school students in two local government areas around Zobe Dam in Katsina State, Nigeria. Parasit Vectors. 2016;9(1):388. doi:10.1186/s13071-016-1672-5
56. Boih LO, Okaka CE, Igetei JE. A survey of urinary schistosomiasis among school aged children of ten communities in South-South, Nigeria. J Vector Borne Dis. 2021;58(1):63–69. doi:10.4103/0972-9062.313971
57. Raja’a YA, Assiragi HM, Abu-Luhom AA, et al. Schistosomes infection rate in relation to environmental factors in school children. Saudi Med J. 2000;21(7):635–638.
58. Al-Waleedi AA, El-Nimr NA, Hasab AA, Bassiouny HK, Al-Shibani LA. Urinary schistosomiasis among schoolchildren in Yemen: prevalence, risk factors, and the effect of a chemotherapeutic intervention. J Egypt Public Health Assoc. 2013;88(3):130–136. doi:10.1097/01.EPX.0000441277.96615.96
59. Abdel-Motaleb GS, El-Ghareeb AS, Aly NS, Salama NA. Present situation of Schistosoma haematobium infection among primary school aged children in some areas of Qualyobia governorate-Egypt. J Egypt Soc Parasitol. 2013;43(3):577–589. doi:10.12816/0006415
60. Amuta EU, Houmsou RS. Prevalence, intensity of infection and risk factors of urinary schistosomiasis in pre-school and school aged children in Guma Local Government Area, Nigeria. Asian Pac J Trop Med. 2014;7(1):34–39. doi:10.1016/S1995-7645(13)60188-1
61. Senghor B, Diallo A, Sylla SN, et al. Prevalence and intensity of urinary schistosomiasis among school children in the district of Niakhar, region of Fatick, Senegal. Parasit Vectors. 2014;7:5. doi:10.1186/1756-3305-7-5
62. Adewale B, Mafe MA, Sulyman MA, et al. Impact of single dose praziquantel treatment on Schistosoma haematobium infection among school children in an endemic Nigerian community. Korean J Parasitol. 2018;56(6):577–581. doi:10.3347/kjp.2018.56.6.577
63. Ayabina DV, Clark J, Bayley H, Lamberton PHL, Toor J, Hollingsworth TD. Gender-related differences in prevalence, intensity and associated risk factors of Schistosoma infections in Africa: a systematic review and meta-analysis. PLoS Negl Trop Dis. 2021;15(11):e0009083. doi:10.1371/journal.pntd.0009083
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