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. 2019 Apr 3;26:19. doi: 10.1051/parasite/2019020

Urinary schistosomiasis in Nigeria: a 50 year review of prevalence, distribution and disease burden

La schistosomiase urinaire au Nigeria : un bilan de 50 ans sur la prévalence, la distribution et le fardeau de la maladie

Charles Ogbonna Ezeh 1,2, Kenechukwu Chibuike Onyekwelu 1,*, Olaoluwa Phebian Akinwale 4, Lv Shan 2, Hu Wei 2,3
PMCID: PMC6447092  PMID: 30943149

Abstract

We reviewed survey data deposited in the Global Neglected Tropical Diseases database and many other articles on the prevalence and distribution of Schistosoma haematobium in Nigeria. Schistosoma haematobium surveys conducted over the period of 50 years under review using different diagnostic tools revealed that Ogun State has the highest prevalence, followed by Ekiti state, while the lowest prevalence was recorded in Adamawa. No incidence of Schistosoma haematobium was recorded for states such as Akwa Ibom, Bayelsa, Nasarawa, Jigawa and Gombe. In terms of endemicity, this review has shown that Nigeria is divided into four zones: hyperendemic, moderately endemic, low endemic, and no endemic zones. A survey of 47 (15%) of the 323 dams in Nigeria revealed that 45 out of the 47 dams are located in the hyperendemic zone, while the remaining two are located in the moderately endemic zone. Twenty (43%) of the total surveyed dams harboured Bulinus globosus and/or Biomphalaria pfeifferi, the local intermediate hosts of schistosomes, and 18 of these are located in the hyperendemic zone, while the other two are in the moderately endemic zone. We conclude that there is an urgent need to carry out a nationwide survey to help in planning, coordinating, and evaluating schistosomiasis control activities.

Keywords: Schistosomiasis, Schistosoma haematobium, Epidemiology, Snails, Morbidity, Praziquantel

Introduction

Urinary schistosomiasis caused by Schistosoma haematobium is endemic in the sub-Saharan region of Africa, including in Nigeria [9, 10]. About 200 million people in some 74 countries are infected worldwide and at least 600 million are at risk of infection [27]. An estimated 120 million suffer severe consequences of the infection with an estimated annual mortality rate of about 20,000 worldwide [28]. An estimated 30 million Nigerians need to be treated annually for the disease [2]. In most endemic areas, the highest intensities of infection are found in children between 5 and 15 years of age [28]. In sub-Saharan Africa alone, it is estimated that 70 million individuals experience haematuria, 32 million difficulty in urinating (dysuria), 18 million bladder-wall pathology, and 10 million major hydronephrosis from infections caused by S. haematobium annually. The mortality rate due to non-functioning kidneys (from S. haematobium) and haematemesis has been estimated to be 150,000 per year [25]. The above figures show that urinary schistosomiasis is an important public health problem in sub-Saharan Africa, second only to malaria in morbidity [26]. Urinary schistosomiasis has been reported to increase the risk of HIV infection among women due to the fact that this parasite causes genital lesions and sandy patches [13]. Up to 75% of women infected with urinary schistosomiasis develop irreversible lesions in their vulva, vagina, cervix and uterus, creating a lasting entry point for HIV [20]. The planorbid snail Bulinus spp. is the intermediate host in the transmission of vesical schistosomiasis. The distribution of the disease is focal and its effects are more common in rural areas in the tropics where the population uses natural fresh water for their domestic water supply, recreational activities, and agricultural production. Hence, disease transmission is contingent on the presence of infected water, the primary snail host, and contact with the human population [17]. Extreme poverty, lack of knowledge of the risks, an inadequacy or total lack of public health facilities along with the unsanitary conditions in which millions of people live their daily lives, especially in the rural areas of developing tropical countries, are all factors contributing to the risk of infection [15, 29].

Although there is no current estimate for the disease in Nigeria, past estimates have calculated infection rates of about 25 million people and 101 million at risk of infection [7]. In terms of urinary schistosomiasis endemicity, Nigeria has been divided into three zones: a hyperendemic zone, a moderately endemic zone, and a zone with low or no endemicity [8].

Our review followed a very encompassing approach, covering half a century (1961–2011) of urinary schistosomiasis in Nigeria. Topics of interest were prevalence, disease burden, risk factors, effects of global health policies in terms of World Health Organization (WHO) programmes on schistosomiasis control and the federal government’s approach to disease surveillance, control of transmission, and the road map to morbidity control and elimination. Special reference was made to the effects of dams, lakes and other water bodies in Nigeria impacting the spatial and temporal distribution of S. haematobium and the future success of disease control programmes. The Nigerian government’s efforts towards morbidity control through primary healthcare policies over the last 50 years in line with the WHO’s eradication road map were highlighted.

The presence of two forms of human schistosomiasis, caused either by Schistosoma haematobium or by Schistosoma mansoni, in Nigeria has been known since 1881. A report by the WHO in 1987 indicated that the urinary form of the disease (caused by S. haematobium) is widespread throughout Nigeria, while intestinal schistosomiasis (caused by S. mansoni) is less prevalent and was not reported in the south-eastern and some south-western parts of Nigeria [1]. As a result, this review is restricted to S. haematobium.

Methods

This review adapted in parts the methods of Hotez and Kamath [11] (2009) and the modified version of Schur et al. [21] (2011) as a framework outlined in the following steps (Fig. 1).

Figure 1.

Figure 1

Article selection flow chart.

Location, screening and selection of relevant publications

The literature search was done using an online literature database from 1961 to 2011, with urinary schistosomiasis listed as a neglected tropical disease on the PLoS Neglected Tropical Disease Website (http://www.gntd.org). This database collates general information about the type of publication, authors, and publication year, as well as study-specific information about the survey population, survey period, schistosome species, diagnostic test employed, and the number of infected individuals among those examined, stratified by age and sex (if available). We also examined all the journals related to S. haematobium epidemiology listed on African Journals Online (AJOL). The reference lists of identified articles and reviews were also searched manually, as were databases from the WHO, including the Weekly Epidemiological Record. All other publications on urinary schistosomiasis outside the mentioned databases were also included if they met the inclusion criteria.

Publications selection/inclusion criteria

The review focused on 50 years of Nigeria’s existence from 1961, exactly a year after Nigeria gained independence to the last date in 2011 and as such, all articles on urinary schistosomiasis concerning prevalence/epidemiology, distribution, diagnosis, chemotherapy, disease burden, effect of fresh water bodies, poor sanitation and poor health facilities within the set dates were included. The search procedure yielded 235 articles. However, abstracts were scanned to determine whether or not the articles were valid and all independent articles on other species of schistosomes such as S. mansoni and S. intercalatum were excluded, giving 178 articles. Moreover, all articles on nomadic populations without the exact state of origin within the Nigerian Federation were excluded, as well as articles with conflicting figures. This left a total of 176 articles. Articles reporting non-direct diagnostic examination techniques, such as immunofluorescence tests and antigen detections, or publications reporting on questionnaire data alone were excluded, and these final exclusion criteria yielded 162 articles deemed relevant.

Data extraction

The following information was extracted and recorded: general information about the type of publication, authors, publication year, as well as study-specific information about the survey population, the survey period, Schistosoma species (those other than S. haematobium were excluded), the diagnostic test employed, and the number of infected individuals among those examined stratified by age and sex (if available). These data formed the basis of the analysis.

Study areas

The studied areas where surveys and sample collections were carried out within Nigeria were recorded as geographical coordinates in latitudes and longitudes. Almost all articles showed the coordinates of their survey points or delineated them in area maps. However, some survey point geographical coordinates were not provided at the year of study or publication. Therefore Google Earth map link tele-atlas, 2012 was used to obtain their coordinates. Nonetheless, there are cases of interstate surveys that cannot be represented in clear coordinates, but the prevalence data for each state were used.

Sample collection

All articles indicated the time of urine sample collection as between 10 a.m. and 2 p.m. This is the time of midstream urine when all S. haematobium eggs shedding from patients were highest. All community-based surveys ensured pre-survey education of their volunteers before sample collection, while school-based surveys relied on school administrators to ensure accurate sample collection. Hospital-based survey used patients’ urine that presented haematuria/the eggs in diagnosis. All survey types took the precaution of ruling out menstruating female volunteers. Hence, all sample collections were reported to have followed standard urine sample collection procedures and conditions, and ensured the quality of the sample container. Ethical considerations were reported in each case, and ethical clearance was obtained from appropriate authorities.

Urine analysis

The urine samples were reported to be analysed almost immediately after sample collections, except in a few cases where the survey points were very far from points of analysis. However, reports indicated that adequate provisions were made beforehand to forestall the time lag before analysis in terms of urine sample preservation. This was done by transporting the specimen in a cold box containing ice blocks to laboratories where they were analysed. Some articles reported immediate use of reagent strips in the field to determine haematuria and subsequent sedimentation/centrifugation or filtration before microscopy. There were many cases of negative haematuria with positive egg results in many urine samples. The infection intensity was defined as the number of S. haematobium eggs contained in a 10 mL urine sample and S. haematobium eggs were identified as having a terminal spine in microscopy.

Results

Prevalence and geographical distribution

The exact degree of prevalence of urinary schistosomiasis in Nigeria is not known. The distribution and the prevalence level of the survey locations are shown in Figures 23 as well as Table 1, while ranking of the endemicity by state is shown in Table 2. An overview of the number of surveys with details given regarding sampling period, diagnostic technique, survey type, and prevalence, stratified by state is given in Table 1. Figure 2 is the bar chart representation of disease prevalence per state in Nigeria. Figure 3 is a map of Nigeria showing prevalence (cases per 100,000 inhabitants) and distribution of urinary schistosomiasis, while Figure 4 is a map of Nigeria showing the levels of endemicity of S. haematobium. These figures and tables are simply cumulative representations of various research work’s output included in this review. There are no baseline data or nationwide surveys carried out to serve as a reference point. It is known that states with low prevalence or without reports may be highly endemic with either S. mansoni or S. intercalatum, or have high prevalence of S. haematobium that is unreported. There are generally very few research reports on schistosomiasis in Nigeria. If we factor figures in Chitsulo et al. [7] (2000) and those at risk of infection and re-infection since the publication of the article into the prevalence, then Figure 3 will show a near real description of the geographical distribution of urinary schistosomiasis in Nigeria.

Figure 2.

Figure 2

Summary of the prevalence of Schistosoma haematobium across the 36 states of Nigeria including FCT.

Figure 3.

Figure 3

Map of Nigeria, showing location of study sites, dams, and natural water bodies.

Table 1.

Overview of the survey data included in the analysis stratified by state.

Location
Survey year
Diagnostic technique
Survey type
Prevalence
Total Unique 1960s 1970s 1980s 1990s 2000+ RS SD FT DT CB SB HB
Ogun 45 41 0 1 0 5 9 4 9 1 1 8 7 0 12,400
Ekiti 18 12 0 0 0 0 4 1 0 0 0 1 0 0 9464
Benue 19 9 0 0 1 0 4 0 4 1 0 3 1 1 5735
Edo 50 10 0 0 0 1 8 1 8 0 0 7 2 0 5174
Kano 7 6 0 0 1 0 3 1 3 0 0 2 2 0 3731
Cross River 11 1 0 0 0 5 7 1 4 7 0 3 8 1 3168
Osun 21 20 0 1 2 2 7 2 5 5 0 4 7 1 3138
Rivers 5 4 0 0 0 1 3 1 3 0 0 3 1 0 2868
Lagos 15 10 2 2 5 0 2 3 4 3 1 3 8 0 2809
Enugu 22 17 0 0 1 2 3 2 1 3 0 2 4 0 2626
Oyo 18 15 2 5 0 3 6 1 14 1 0 7 8 1 2517
Plateau 14 10 0 0 0 2 4 1 5 0 0 4 2 0 2476
Ebonyi 40 39 0 0 0 0 9 2 6 1 0 3 5 1 2471
Abia 31 23 0 0 1 2 2 1 3 1 0 3 2 0 2162
Katsina 6 4 0 5 0 0 0 0 4 1 0 3 2 0 1863
Ondo 19 18 0 0 0 0 2 0 2 0 0 2 0 0 1508
Imo 28 22 0 0 0 0 4 2 3 0 0 4 0 0 1485
Anambra 8 6 0 0 0 3 3 0 4 2 1 2 4 0 1100
Delta 41 16 0 0 0 0 2 0 2 0 0 0 2 0 1085
Borno 3 2 0 0 1 0 2 1 3 0 0 0 2 0 983
Kaduna 9 5 0 1 2 1 3 1 5 1 0 3 2 3 868
Niger 13 8 0 0 1 0 3 1 4 0 0 1 3 0 543
Kogi 22 18 1 0 0 0 1 1 2 0 0 1 1 0 450
Kebbi 1 1 0 0 0 1 0 0 1 0 0 1 0 0 406
FCT 6 5 0 0 0 0 1 0 1 0 0 1 0 0 360
Taraba 3 2 0 0 0 0 2 0 2 0 0 1 1 0 327
Sokoto 5 3 0 0 0 1 1 0 1 1 0 1 0 1 296
Kwara 1 1 0 0 0 1 0 0 1 0 0 0 1 0 193
Bauchi 4 2 0 0 0 1 0 1 0 0 0 0 1 0 181
Yobe 2 1 0 0 0 0 0 0 2 0 0 1 0 1 127
Zamfara 6 3 0 0 0 0 1 0 1 0 0 0 1 0 117
Adamawa 1 0 0 0 0 1 0 0 1 0 0 1 0 0 101
Akwa Ibom
Bayelsa
Nasarawa
Jigawa
Gombe

Table 2.

Ranking of endemicity by state.

Endemicity States
Hyperendemic zone (>50%) Abia, Ebonyi, Enugu,Osun, Ogun, Lagos, Rivers, Cross Rivers, Edo, Benue, Kano, Oyo, Ekiti, Plateau
Moderately endemic zone (10%–50%) Anambra, Ondo, Imo, Delta, Borno, Kaduna, Niger, Katsina
Low endemic zone (1%–10%) Kogi, Taraba, Adamawa, Kebbi, Sokoto, Bauchi, Yobe, Kwara, Zamfara, Abuja
No report Gombe, Akwa Ibom, Jigawa, Nasarawa, Bayelsa.

Figure 4.

Figure 4

Map of Nigeria, showing the level of endemicity of urinary schistosomiasis by state. Red: highly endemic (>50%); brown: moderately endemic (10–50%); yellow: low endemic (1–10%); grey: no report of urinary schistosomiasis.

Table 3.

The distribution of the snail host and human schistosomiasis in investigated artificial lakes/dams in Nigeria.

S/N Name of dam Location Size Purpose Year Snail Human infection
1 Kubani Kaduna Medium WS 1975 Positive NI
2 Kangimi Kaduna Large WS, IR 1977 Positive NI
3 Bagoma Kaduna Large WS, IR 1974 Positive NI
4 Zaria Kaduna Large MP 1974 Positive NI
5 Baugauda Kano Large MP 1970 Positive NI
6 Karaye Kano Large MP 1971 Negative NI
7 Tiga Kano Large MP 1975 Positive Positive
8 Jakara Kano Large MP 1976 Negative NI
9 Ruwan Kanya Kano Large MP 1976 Positive NI
10 Tomas Kano Large MP 1976 Positive Positive
11 Kafin Chiri Kano Large MP 1977 Negative NI
12 Tudun Wada Kano Large MP 1977 Negative NI
13 Gari Kano Large MP 1980 Negative NI
14 Marashi Kano Large MP 1980 Negative NI
15 Pada Kano Large MP 1980 Negative NI
16 Watari Kano Large MP 1980 Negative NI
17 Magaga Kano Large MP 1990 Positive NI
18 Challawa Gorge Kano Large MP 1992 Negative NI
19 Kango Kano Large MP UC Negative NI
20 Warwade Kano Large MP NA Negative Negative
21 Birmin Kudu Kano Small MP 1970 Negative NI
22 Rimin Gado Kano Small WS,RC 1978 Positive Positive
23 Dogwala Kano Small FL NA Negative NI
24 Duduvum Kano Small FL NA Negative NI
25 Gata Kano Small FL NA Negative NI
26 Garanga Kano Small FL NA Negative NI
27 Rugunsana Kano Small FL NA Negative NI
28 Gulka Kano Small FL NA Negative NI
29 Iggi Kano Small FL NA Negative NI
30 Guzu Guzu Kano Small FL NA Negative NI
31 Kefin Gana Kano Small FL NA Negative NI
32 Kiwia Kano Small FL NA Negative NI
33 Kiyako Kano Small FL NA Negative NI
34 Kara Dumba Kano Small FL NA Negative NI
35 Malumfashi Katisina Large MP NA Positive Positive
36 Zobe Katisina Large MP NA Positive Positive
37 Kainji Niger Large MP 1968 Positive Positive
38 Oyan Ogun Large MP NA Positive Positive
39 Opa Osun Large WS 1980 Positive Positive
40 Eleiyele Oyo Large WS 1942 Positive NI
41 Oba Oyo Large WS 1964 Positive NI
42 Opeki Oyo Large WS 1967 Positive NI
43 Wurno Sokoto Small MP 1960 Positive Positive
44 Goronyo Sokoto Large MP 1983 Negative Negative
45 Bakolori Zamfara Large MV 1982 Positive Positive

Notes: MP = Multipurpose use, WS = Water supply, RC = Recreation, IR = Irrigation, NA = Not available, NI = Not investigated, FL = Flood control, UC = Under construction, S/N = Serial number, Nil = Not detected.

Large dams are all dams >15 m high or all dams with height 10–15 m having length of crest >500 m and/or reservoir capacity >1 million m3. Medium dams are all dams with height 8–10 m; and Small dams are all dams <8 m high.

Disease burden

Nigeria ranks highest in terms of schistosomiasis burden among the countries in sub-Saharan Africa (SSA) [11]. Of the 192 million cases estimated in SSA by Steinmann et al. [22], Nigeria alone has 29 million cases. The disease burden, i.e., Disability-Adjusted Life Year (DALYs) in sub-Saharan Africa resulting from schistosomiasis is estimated to be 1.6–4.2 million, which is 93% of estimated global disease burden in DALYs, put at 1.7–4.5 million [11]. Of this estimate, Nigeria ranks highest as of 2006. Urinary schistosomiasis accounts for more than 90% of all schistosomiasis cases in Nigeria, suggesting that the DALYs in Nigeria resulting from schistosomiasis are mainly from urinary schistosomiasis.

Control measures

Currently, there is no separate control measure applicable in Nigeria other than the measures the Federal Ministry of Health outlined in its Primary Health Policy covering all infectious diseases. However, Nigeria has adopted the WHO’s strategy for schistosomiasis control but there is an apparent gap in policy making and implementation. Recently, the Carter Center-assisted programme in Nigeria provided health education and schistosomiasis treatment to communities in four states – Plateau, Delta, Edo, and Nasarawa – where the burden of the disease is high, and as of 2011, the programme has assisted by providing more than 6 million cumulative praziquantel tablets which have been distributed primarily to children since 1999. The vast majority of these treatments were distributed during 2008–2011 alone, through a scale up of activities made possible through a donation to the Center from the World Health Organization and Merck KGaA (Germany) (http://www.cartercenter.org/health/schistosomiasis/index.html). The remaining 33 states and Federal Capital Territory are meant to be covered under the Mass Drug Administration (MDA) programmes of the WHO and the Federal Ministry of Health.

Discussion

There is currently no vaccine for schistosomiasis. Control measures rely on the use of a chemotherapeutic drug – praziquantel, which provides a safe and effective oral treatment against all human schistosome species. It is an essential tool that led to a shift in the global control strategy from transmission containment to morbidity control that occurred in the mid-1980s [19].

WHO has set a target to regularly treat 75% of school-aged children at risk of morbidity due to schistosomiasis by 2010, in support of the 54th World Health Assembly which passed a resolution urging member states to provide drug treatment to high-risk groups [6] and in 2002, a grant from the Bill and Melinda Gates Foundation (BMGF) to the Schistosomiasis Control Initiative (SCI), Imperial College of Science Technology and Medicine, enabled the initiation of country-wide control programmes in six African countries. The increasing expansion of international initiatives to reduce the disease burden of helminth infections in the developing world has been catalysed by “funding from the BMGF, donations from several drugs companies, and the reduced price of praziquantel” [14]. But how would all these measures fare in Nigeria considering that there is no clear road map for schistosomiasis control in the country, no accurate national data on prevalence and distribution, treatment and the predisposing factors to re-infection after treatment?

In Nigeria, S. haematobium infection had been found in many parts of the country with varying intensities and prevalence rates, and incidence is believed to be on the increase [19]. The true epidemiological data appear difficult to determine in developing nations because of inadequate research and no epidemiological control/information centre on tropical diseases, despite its relevance in planning for control in any locality. It is known that schistosomiasis affects up to 50% or more of people in some areas of Nigeria, but the total number of affected persons is unknown. Endemicity may be linked to behaviour, lack of education, public health facilities, very poor sanitary conditions and poverty in this part of the world [24]. The prevalence of this disease like many other endemic diseases is affected by the socio-cultural characteristics of Nigeria. As a result, the prevalence of this disease is also affected by these characteristics and accounts for the obvious difference in the distribution of the disease between southern and northern parts of the country [30]. Even within the same geographical area, such differences are likely to exist between different age groups. Although the prevalence of urinary schistosomiasis is found not to be uniform over the five decades in the states studied, the distribution among sexes was similar in that more males were infected than females, and this finding is statistically significant (p < 0.05) [4, 17, 23]. However, some studies in the southern parts of Nigeria showed that females have a higher prevalence of urinary schistosomiasis than males [3, 16]. The reason for this is that women are mostly involved in activities known to favour infection due to their gender-assigned responsibilities.

Socio-cultural factors like washing, fishing and recreational activities in fresh water harbouring infected snails facilitate the transmission of the disease. These practices are very common in the rural areas of northern Nigeria and many other villages in the western and eastern parts of the country. The construction of earth dams for dry season farming contributes to the high prevalence and distribution of the disease in this part of the country. Also, communities around most fresh water bodies show very high prevalence (Fig. 4). A total of 47 (15%) of the 323 dams in Nigeria have been surveyed for the presence of the snail intermediate host species of schistosomiasis, taking into consideration its distribution and ecology. The survey revealed that 45 of the 47 dams are located in the hyperendemic zone, while the remaining two are located in the moderately endemic zone. Results show that 20 (43%) of the total surveyed dams harboured Bulinus globosus and/or Biomphalaria pfeifferi, the local intermediate host of the Schistosoma parasite. Eighteen of these are located in the hyperendemic zone, while the other two are in the moderately endemic zone. Fifteen of them are in the northern part of the country and the remaining five are in the southwest [18]. Since the intermediate host of schistosomiasis breeds in slow-flowing/stagnant water, reservoirs of dams provide favourable conditions for year-round transmission of the disease, even in areas where snail distribution used to be seasonal [5]. Imevbore et al. [12] showed that within the reservoirs, distribution is focal and is confined to human contact sites, especially along their shallow vegetative shore, not more than a few meters from the shores or deep into the water. The endemicity ranking by state (Table 2) shows some areas of contrast in that some well-known states classified by Cowper et al, 1965 as hyperendemic are now in moderately endemic or low endemic zones. Obviously, this is due to low research levels or survey data over the decades in review. Hence, Table 2 cannot really serve as a reference as the data forming the classification represented in the table are grossly insufficient owing to very low research levels and survey data. The information is nonetheless informative. The merging of data arising from the prevalence of urinary schistosomiasis predicted due to dams and the data in Table 2 give a better estimated prevalence of the disease over the last 50 years so far reported in Nigeria within the context of this review inclusion criteria. Therefore, Figure 3 represents the total known cases of urinary schistosomiasis reported in various surveys over the five decades. Conclusively, it is very clear that the Federal Ministry of Health should urgently carry out a national survey to guide the various programmes for schistosomiasis control. More research is needed to elucidate the transmission patterns of different species and as well an overall political will on the part of government to cut transmission through several measures: mass education, provision of potable water, and proper waste disposal facilities to all rural areas (especially settlements around dams), and adequate checks on sanitary conditions of residents and a continuous MDA programme.

Conclusion

We conclude that there is an urgent need to carry out a nationwide survey to help in planning, coordinating, and evaluating schistosomiasis control activities.

Competing interests

The authors declare that they have no competing interests.

Cite this article as: Ezeh CO, Onyekwelu KC, Akinwale OP, Shan L & Wei H. 2019. Urinary schistosomiasis in Nigeria: a 50 year review of prevalence, distribution and disease burden. Parasite 26, 19.

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