Literature DB >> 25886292

Prevalence of urinary schistosomiasis and associated risk factors among Abobo Primary School children in Gambella Regional State, southwestern Ethiopia: a cross sectional study.

Shashie Geleta1, Agersew Alemu2, Sisay Getie3, Zeleke Mekonnen4, Berhanu Erko5.   

Abstract

BACKGROUND: In Ethiopia, urinary schistosomiasis caused by Schistosoma haematobium has been known to be endemic in several lowland areas of the country where it causes considerable public health problems, mainly among school-age children. However, information on recent magnitude and risk factors of the disease is lacking, particularly for Gambella area. Therefore, this study aimed to assess the prevalence of urinary schistosomiasis and associated risk factors among Abobo Primary School children in Gambella, southwestern Ethiopia.
METHODS: A cross-sectional study involving 304 school children was conducted in Abobo Primary School, Gambella Regional State, southwestern Ethiopia, from February to June 2014. Ten ml of urine sample was collected from each study participant and processed for microscopic examination by the urine filtration method; egg load for positive individuals was determined per 10 ml of urine. Data on socio-demographic characteristics and risk factors were collected using an interview-based questionnaire. The data were entered into and analyzed with SPSS version 20. Logistic regression and odds ratio were used to measure association and strength between variables, respectively. P-value < 0.05 at 95% CI was considered as statistically significant.
RESULTS: The prevalence of urinary schistosomiasis was 35.9% (109/ 304) with a mean egg intensity of 8.76 per 10 ml of urine. Being male [AOR (95%CI) = 2.15(1.31, 3.52)], having father as a farmer [AOR (95%CI) = 1.96(1.19, 3.22)] and children living apart from parents [AOR (95% CI): 3.09 (1.14, 8.4)] were significantly associated with urinary schistosomiasis.
CONCLUSION: The present study area in Gambella Regional State, southwestern Ethiopia, represents moderate-risk community for urinary schistosomiasis. Sex, father's occupation and living apart from parents were found to be associated with infection. Treatment of all school-age children and fishermen is required once every 2 years until the prevalence of infection falls below the level of public health importance. It is also recommended to complement praziquantel treatment with supplementary measures such as provision of sanitation facilities and health education.

Entities:  

Mesh:

Year:  2015        PMID: 25886292      PMCID: PMC4399218          DOI: 10.1186/s13071-015-0822-5

Source DB:  PubMed          Journal:  Parasit Vectors        ISSN: 1756-3305            Impact factor:   3.876


Background

Human schistosomiasis is a chronic disease caused by the blood flukes belonging to the genus Schistosoma. The main disease causing schistosome species are Schistosoma haematobium (S. haematobium), S. mansoni, S. japonicum, S. mekongi and S. intercalatum [1]. Schistosomiasis is estimated to affect 249 million people worldwide, of which at least 224 million affected people live in sub-Saharan Africa [2]. It ranks second only to malaria as the most common parasitic disease, killing an estimated 280,000 people each year in the African region alone [3]. S. haematobium is the aetiologic agent of urinary schistosomiasis and it is most prevalent in Africa [4]. In sub-Saharan Africa, S. haematobium infection is estimated to cause 70, 32, 18 and 10 million cases of hematutria, dysuria, bladder-wall pathology and major hydronephrosis, respectively [5]. The infection is also responsible for nutritional deficiencies and growth retardation [6], adverse effects on cognitive development [7], as well as for decreasing physical activity, school performance, and work capacity and productivity [6]. Transmission of urinary schistosomiasis is dependent on availability of specific snail hosts and human activities with water contacts [8]. Therefore, the risk and reemergence of urinary schistosomiasis is attributed to the range of snail habitats promoted by water development schemes such as dam construction [9]. On the other hand, school age children were thought to have frequent water contact that would make them more vulnerable to schistosomiasis, and hence this age group would be associated more frequently with schistosomiasis problems [10,11]. In Ethiopia, both S. haematobium and S. mansoni are endemic, with an estimated 4 million people infected and 30–35 million being at risk of infection [12,13]. An infection rate of urinary schistosomiasis as high as 62.7%, was reported among children younger than 14 years of age in certain parts of the country. However, the distribution of urinary schistosomiasis in Ethiopia is highly focal and is limited to lowland areas. In addition, the development of irrigation schemes in different areas of the country has contributed to spread of the disease [12]. In order to put in place appropriate interventions against schistosomiasis, information on the distribution and associated risk factors of the disease in different transmission settings is a prerequisite. This study, therefore, aimed to determine the prevalence and associated risk factors of S. haematobium infection among primary school children at Abobo District, Gambella, southwestern Ethiopia.

Methods

Study area

The study was conducted at Perbongo Mender 5/6 and among Abobo Primary Schools in Abobo Town, Abobo District, Gambella, Ethiopia (Figure 1). Abobo is located at 7° 51′ 0″ North, 34° 33′ 0″ East, and 45 km south of Gambella Town and 822 km southwest of Addis Ababa, Ethiopia. The people in the community are engaged mainly in agricultural and fishing activities. There is a large river called ‘Alwero’ across Abobo Town where Alwero dam is constructed and children rely on it for swimming and fishing.
Figure 1

Map of the study area, Abobo District, Gambella Regional State, Ethiopia.

Map of the study area, Abobo District, Gambella Regional State, Ethiopia.

Study design, period and participants

A cross-sectional study was carried out from February 2014 to June 2014. Study participants were recruited voluntarily from Perbongo Mender 5/6 and Abobo Primary Schools in Abobo Town, Gambella.

Inclusion and exclusion criteria

Primary school children in the 7–14 years age group, attending Perbongo Mender 5/6 and Abobo Primary Schools during the study period were enrolled.

Exclusion criteria

Primary school children who took medication for schistosomiasis three weeks prior to and during the data collection and children who were seriously ill during data collection were excluded.

Sample size

The required sample size was determined using single population proportion formula and assuming a 24.54% proportion of urinary schistosomiasis [14], 5% level of significance (α = 0.05), 95% confidence interval and 5% margin of error (D = 0.05). After computation and adding 10% for non-response rate, the final sample size was 313. Thus, a total of 313 primary school children participated in the study.

Sampling technique

Perbongo Mender 5/6 and Abobo Primary Schools were selected randomly from ten primary schools in Abobo District. Sample size was proportionally allocated to each school and each class of participating schools. The student registration book was used as a sampling frame and study participants were selected using a simple random sampling technique. Accordingly, 223 and 90 study participants were recruited from Perbongo Mender 5/6 and Abobo Primary Schools, respectively.

Data collection procedures

Socio-demography and related factors

Interview based questionnaire prepared in English and then translated into Agnuak and translated back to English was used to collect socio-demographic and associated risk factor data for urinary schistosomiasis.

Urine sample collection

About 10 ml of terminal urine sample was collected from each study participant in clean labelled plastic containers. Then, 0.2 ml of 37% formalin was added to the urine sample as a preservative. The urine sample was collected between 10 AM and 2 PM to obtain high S. haematobium egg load [15].

Microscopic diagnosis of Schistosoma haematobium infection

A standard filtration technique was used to diagnose and quantify ova of S. haematobium. Mixed 10 ml of urine was allowed to pass through 13 mm diameter and 12 μm pore size of nylon mesh filter (Costar Corporation, USA) supported with plastic syringe. The filter containing the residues including S. haematobium eggs was removed and placed on a clean microscopic slide to be examined under a middle power objective. After examining the whole field, microscopic slides containing eggs of S. haematobium were recorded as positive while absence of eggs was taken as negative. Intensity of infection was determined for positive samples and recorded as number of eggs per 10 ml of urine. The intensity was classified as light infection (less than 50 eggs/10 ml of urine) and heavy infection (more than 50 eggs/10 ml of urine) [15].

Quality control

Ten percent of the urine samples were re-checked by an experienced laboratory technician. Data was collected by the first author and other trained personnel and its completeness was checked before the study subject left. Any error appearing during data entry into the computer was re-checked against the original hard copy.

Data analysis

The data were entered into and analyzed using SPSS version 20. Data summary was made using descriptive statistics. Chi square, bivariate and multivariable logistic regressions were used to determine the association between dependent and independent variables. Odds ratio with 95% CI was used to measure strength of association between variables. Statistical significance was considered at 95% CI and P-value less than 0.05.

Ethical consideration

The protocol of the study was reviewed and approved (Reference Number: SBMLS/525/06, 2014) by Research and Ethical Committee of School of Biomedical and Laboratory Sciences, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. Permission to conduct the study was obtained from Gambella Regional Health Bureau and Gambella Regional Educational Bureau. Informed assent and consent was obtained from children and parent/guardian of the children, respectively. All the information obtained from each study participant was kept confidential. Children found positive for S. haematobium eggs were treated with praziquantel using a single oral dose of 40 mg/kg body weight at Abobo Health Center by a physician.

Results

Socio-demographic characteristics of study participant

A total of 313 primary school children were recruited and 304 were included in the analysis, of which 155 (51%) and 149 (49%) of them were males and females, respectively. The mean age (SD) of the study participants was 11.37 (2.32) years. Non-farmer (52.3%) and housewife (64.4%) were the major occupation for fathers’ and mothers’ of study participants, respectively. Among study participants’ parents, 165 (58.9%) of fathers and 140 (47.6%) of mothers were able to read and write (Table 1).
Table 1

Socio-demographic characteristics of study participants, Abobo, southwestern Ethiopia, 2014

Variables Frequency Percentage
Age
 7-96722.0
 10-129932.6
 13-1413845.4
Sex
 Male15551
 Female14949
Educational level
 1-413143.1
 5-817356.9
Fathers’ occupation
 Farmer14547.7
 Non farmer15952.3
Mothers’ occupation
 House wife19062.5
 Government employee289.2
 Daily labourer309.9
 Other5618.4
Fathers’ educational status
 Does not read and write6621.7
 Able to read and write16554.3
 Secondary school completed5417.8
 Expert level196.3
Mothers’ educational status
 Does not read and write14347.0
 Able to read and write14046.1
 Secondary school completed216.9
Total 304 100%
Socio-demographic characteristics of study participants, Abobo, southwestern Ethiopia, 2014

Prevalence and intensity of urinary schistosomiasis

In this study, the prevalence of urinary schistosomiasis was 35.9% with a mean (SD) intensity of 8.76 (14.51) per 10 ml of urine. Among infected study participants, 106 (97.2%) presented with light intensity of urinary schistosomiasis and 3 (2.8%) with heavy intensity. The frequency and mean intensity of urinary schistosomiasis was higher among males [61.5% (χ 2 = 7.47, p < 0.008)] and 9.36 per 10 ml of urine) than females (38.5% and 7.81per 10 ml). On the other hand, higher frequency of urinary schistosomiasis was identified among children in the 13 to 14 years age group (39.1%) than the 7 to 9 years age group (15.6%), and the 10 to 12 years age group (34.9%), (χ 2 = 4.12, p < 0.127). However, the mean egg count was higher among children in the 10 to 12 years age group (11.18 per 10 ml). Nevertheless, there was weak linear relationship (r = −0.007) between age of children and egg count of urinary schistosomiasis. Overall, there was no statistically significant association between mean egg count of urinary schistosomiasis and sex, age group, distance from the river, use of river for drinking and washing, and swimming habit (data not shown). Higher frequency of urinary schistosomiasis was identified among children with farmer as father’s occupation (56.0%) (χ 2 = 4.65, p < 0.032) and housewife as mother’s occupation (64.8%) (χ 2 = 0.866, p < 0.834). Children with a habit of swimming accounted for 91.7% ((χ 2 = 0.496, p < 0.552) of the total urinary schistosomiasis prevalence.

Factors associated with urinary schistosomiasis

In this study, 274 (90.1%) of the study participants had a habit of swimming in rivers. However, only 60 (21.9%) of them experienced regular swimming. On the other hand, 213 (70.1%) of the study participants required less than 30 minutes before reaching the river dam and 91 (29.9%) of them used it for washing clothes and bathing. Of the study participants, 168 (56.6%) had heard about urinary schistosomiasis and school was the source of information for 76 (44.2%) of them. In spite of this, 52 (30.2%) of them didn’t know any ways of prevention or control against urinary schistosomiasis (Table 2).
Table 2

Frequency of risk factors associated with urinary schistosomiasis, Abobo, southwestern Ethiopia, 2014

Variables Frequency Percentage
Swimming habit
 Yes27490.1
 No309.9
Swimming regularity
 Some times21478.1
 Regularly6021.9
Living with parent
 Yes28494
 No186
Distance from river
 <30min21370.1
 >=30min9129.9
Water source for washing and bathing
 Alwero Dam9129.9
 Other21370.1
Heard about urinary schistosomiasis
 Yes16856.6
 No13643.4
Total 304100
Knowledge about urinary schistosomiasis among the total 168 participants who had heard about urinary schistosomiasis
Information source
 School7645.2
 Home4627.4
 Other4627.4
Symptom of urinary schistosomiasis
 Abdominal pain169.5
 Dysuria53.0
 Bloody urine12172.0
 Weakness42.4
 Do not know2213.1
Parasite penetrate skin
 Yes4828.6
 No12071.4
Know the vector
 Yes3017.9
 No13882.1
Have prevention
 Yes14269.0
 No1014.9
 Do not know1616.1
Have treatment
 Yes14284.5
 No106.0
 Do not know169.5
Total 168100
Frequency of risk factors associated with urinary schistosomiasis, Abobo, southwestern Ethiopia, 2014

Multivariate analysis of factors associated with urinary schistosomiasis

In the bivariate analysis, the 13–14 years of age group [COR (95% CI): 1.89 (1.89, 3.61)], male [COR (95% CI): 1.94(1.2, 3.12) and farmer as father’s occupation [COR (95% CI): 1.68(1.05, 2.69)] were significantly associated with urinary schistosomiasis. In the multivariate logistic regression analysis, only sex, father’s occupation and living with parent had statistically significant association with urinary schistosomiasis. Males were two times more likely to be infected with S. haematobium than females, AOR: 2.13 (95% CI: 1.3, 3.5) (Tables 3 and 4).
Table 3

Multivariate analysis of variables associated with frequency of urinary schistosomiasis among study participants, Abobo, southwestern Ethiopia, 2014

Variables Frequency of urinary schistosomiasis COR (95%CI) AOR (95% CI)
Sub-total (%) Positive (%) Negative (%)
Age
 7-967 (100)17 (25.4)50 (74.6)1-
 10-1299 (100)38 (38.4)61 (61.6)1.83 (0.93,3.63)
 13-14138 (100)54 (39.1)84 (60.1)1.89 (1.89,3.61)
Sex
 Male155 (100)67 (43.2)88 (56.8)1.94 (1.2,3.12)2.13 (1.3,3.5)
 Female149 (100)42 (28.2)107 (71.8)11
Educational level
 1-4131 (100)47 (35.9)84 (64.1)1-
 5-8173 (100)62 (35.8)111 (64.2)0.99 (0.622,1.6)
Fathers’ occupation
 Farmer145 (100)61 (42.1)84 (57.9)1.68 (1.05, 2.69)1.96 (1.97,3.22)
 Non-farmer159 (100)48 (30.2)111 (69.8)11
Mothers’ occupation
 House wife190 (100)68 (35.8)122 (64.2)0.93 (0.50,1.72)
 Government employee28 (100)8 (28.6)20 (71.4)0.67 (0.25,1.78)-
 Daily labourer30 (100)12 (40)18 (60)1.11 (0.45,2.76)
 Other56 (100)21 ()35 ()1
Fathers’ educational status
 Does not read and write66 (100)23 (34.9)43 (65.1)2.0 (0.60,6.75)
 Able to read and write165 (100)65 (39.4)100 (60.6)2.44 (0.78,7.67)-
 Secondary school completed54 (100)17 (31.5)37 (68.5)1.72 (0.49,5.98)
 Expert level19 (100)4 (21.1)15 (78.9)1
Mothers’ educational status
 Does not read and write143 (100)58 (40.6)85 (59.4)1.70 (0.63,4.66)
 Able to read and write140 (100)45 (32.1)95 (67.9)1.18 (0.43,3.26)-
 Secondary school completed21 (100)6 (28.6)15 (71.4)1
Swimming habit
 Yes274 (100)100 (36.5)174 (63.5)1.34 (0.59,3.04)
 No30 (100)9 (30.0)21 (70.0)1-
Swimming regularity
 Sometimes214 (100)79 (36.9)135 (63.1)1-
 Regularly60 (100)21 (35.0)39 (65.0)0.92 (0.51,1.68)
Living with biological parent
 Yes284 (100)99 (34.9)185 (65.1)11
 No18 (100)10 (55.6)8 (44.5)2.34 (0.89,6.12)3.09 (1.14,8.4)
Distance from river
 <30min213 (100)74 (34.7)139 (65.3)0.85 (0.51,1.42)-
 >=30min91 (100)35 (38.5)56 (61.2)1
Water source for washing and bathing
 Dam91 (100)35 (38.5)56 (61.2)0.85 (0.51,1.41)-
 other213 (100)74 (34.7)139 (65.3)1
Heard about urinary schistosomiasis
 Yes168 (100)61 (36.3)107 (63.7)1-
 No136 (100)48 (35.3)88 (65.7)0.96 (0.59,1.53)
Total 304 (100)109 (35.9)195 (64.1)
Table 4

Multivariate analysis of variables associated with urinary schistosomiasis among study participants who had heard about urinary schistosomiasis, Abobo, southwestern Ethiopia, 2014

Variables Frequency of urinary schistosomiasis COR (95% CI) AOR (95% CI)
Sub-total Positive (%) Negative (%)
Information source
 School76 (100)27 (35.5)49 (64.5)1
 Home46 (100)15 (32.6)31 (67.4)0.88 (0.41,1.91)-
 Other46 (100)19 (41.3)27 (58.7)1.28 (0.60,2.71)
Symptom of urinary schistosomiasis
 Abdominal pain16 (100)8 (50.0)8 (50.0)1
 Dysuria5 (100)1 (20.0)4 (80.0)0.25 (0.02,2.76)
 Bloody urine121 (100)44 (36.4)77 (63.6)0.57 (0.20,1.63)-
 Weakness4 (100)1 (25.0)3 (75.0)0.33 (0.03,3.93)
 Do not know22 (100)7 (31.8)15 (68.2)0.47 (0.12,1.77)
Parasite penetrate skin
 Yes48 (100)18 (37.5)30 (62.5)1-
 No120 (100)43 (35.8)77 (64.2)0.93 (0.47,1.86)
Know the vector
 Yes30 (100)14 (46.7)16 (53.3)1-
 No138 (100)47 (34.1)91 (65.9)0.59 (0.27, 1.31)
Have prevention
 Yes116 (100)50 (43.1)66 (56.9)11
 No25 (100)5 (20.0)20 (80.0)0.33 (0.12,0.94)0.32 (0.11,0.96)
 Do not know27 (100)6 (22.2)21 (77.8)0.38 (0.14,1.00)0.29 (0.6,1.35)
Have treatment
 Yes142 (100)55 (38.7)87 (61.3)1
 No10 (100)2 (20.0)8 (80.0)0.40 (0.08,1.93)-
 Do not know16 (100)4 (25.0)12 (75.0)0.53 (0.16,1.74)
Total 168 (100)61 (36.3)107 (63.7)

AOR = adjusted odd ratio; indicated only for significant variables with p-value less than 0.05.

CI = confidence interval.

COR = crude odd ratio.

Multivariate analysis of variables associated with frequency of urinary schistosomiasis among study participants, Abobo, southwestern Ethiopia, 2014 Multivariate analysis of variables associated with urinary schistosomiasis among study participants who had heard about urinary schistosomiasis, Abobo, southwestern Ethiopia, 2014 AOR = adjusted odd ratio; indicated only for significant variables with p-value less than 0.05. CI = confidence interval. COR = crude odd ratio.

Discussion

In the present study, the overall prevalence of urinary schistosomiasis among school children in Abobo area, Gambella, was 35.9% and can be categorized as moderate based on WHO categories of endemic communities [16]. This prevalence was higher compared to studies carried out in the Afar Region (24.54%), the middle Awash Valley (3.1%) and Somali Region (16.0%) [14,17,18] of Ethiopia. It was also higher compared to studies conducted in Sudan (16%) and Swaziland (5.3%) [19,20]. However, it was lower than a prevalence reported from Hassoba in Afar Regional state, Ethiopia (47.6%), from the White Nile River Basin of the Sudan (45%), and from Nigeria (41.5%) [21-23]. The difference can be explained by differences in ecological factors that can in turn lead to differences in transmission intensity [24]. This study showed lower mean intensity of urinary schistosomiasis (8.76 per 10 ml of urine) as compared to a study carried out in Afar Region, Ethiopia (14.8 eggs/10 ml of urine), Senegal (185eggs/10 ml of urine) and the Sudan (14.9 eggs/10 ml) [23,25,26]. This could be associated with differences in seasonality in transmission and types of water contact among study participants [24,25,27]. Treatment against urinary schistosomiasis could also lead to the low intensity of the parasite as indicated from a previous study in Mali [28]. In the current study, 84.5% (142) and 72.0% (121) of study participants knew about the presence of treatment against urinary schistosomiasis and reported bloody urine as a symptom of urinary schistosomiasis, respectively. This might have also caused self-reporting and hence seeking treatment for the infection [29]. In the current study, males were two times more likely to be infected with urinary schistosomiasis than females. This was comparable with studies conducted in the Sudan and Swaziland [19,20,26]. Socio-cultural factors where males are mostly engaged in water- contact activities like swimming and bathing, fishing, farming and watering cattle could lead to higher exposure among males. Significant association between urinary schistosomiasis and school children involved in farming and fishing were reported from Nigeria [30]. On the contrary, studies carried out in Ghana and Nigeria showed higher prevalence of urinary schistosomiasis among females than males [31,32]. Even though the prevalence of urinary schistosomiasis increased with age, there was no significant association between these variables. This finding was in line with studies conducted in the Somali Regional State, Ethiopia and the Sudan [17,26]. This could be explained by more involvement of older children in field activities and relatively higher risk of exposure to infection. Previous study from Nigeria indicated that children in the 10 to 14 years age group excrete large numbers of S. haematobium eggs [33]. Occupation of father was significantly associated with urinary schistosomiasis where children with farmer as father’s occupation were two times more likely to be infected than children with non-farmer as father’s occupation [AOR (95% CI): 1.96 (1.19, 3.22)]. This result agreed with studies from Sudan, Ghana and Nigeria [21,26,29] where children participated in field activities with their fathers. This shows lack of awareness towards risk of urinary schistosomiasis among fathers to make their children aware about the risk of urinary schistosomiasis. A protective role of the head of the family being literate and informed on urinary schistosomiasis was reported from an earlier study in Nigeria [33]. In addition, children not living with their parents were three times more likely to be infected with urinary schistosomiasis [AOR (95% CI): 3.09 (1.14, 8.40)] than those living with their parent. Similar result were reported from Nigeria [33]. Children living alone could perform any activities including field and water-based tasks as a source of income, and might have exposed themselves to infection. An earlier study from Yemen reported low level of income and unsafe source of water as a risk factor for urinary schistosomiasis among school children [34]. It is interesting to observe high prevalence of urinary schistosomiasis among children with the habit of swimming without significant association. Similar result were reported from an earlier study in Nigeria [21]. Despite the high prevalence of urinary schistosomiasis with the habit of swimming, children swimming regularly accounted for 21% while those swimming sometimes accounted for 79% of the current total prevalence of urinary schistosomiasis. This indicates that long duration of hours to water contact was considered as an important risk factor for exposure to urinary schistosomiasis rather than frequency of water contact [35].

Conclusion

The present study area in Gambella Regional State, southwestern Ethiopia, represents moderate-risk community for urinary schistosomiasis. Sex, father’s occupation and living apart from parents were the determinant factors for the infection. Treatment of all school-age children and fishermen is required once every 2 years until the prevalence of infection falls below the level of public health importance. It is also recommended to complement the praziquantel treatment with supplementary measures such as provision of sanitation facilities and health education.

Definition of variables

Swimming habit: child behaviour in recreational water contact. Swimming regularity: frequent recreational water contact of children. Living with parent: children living in the household of his or her biological parents for over three months. Distance from the river: the space between children’s home and the river. Heard about urinary schistosomiasis: information children have acquired about transmission, signs and symptoms, diagnosis and treatment of urinary schistosomiasis. Symptom of urinary schistosomiasis: information children have acquired about clinical symptoms of urinary schistosomiasis. Parasites penetrate skin: information children have acquired as to whether or not the schistosome parasites penetrates human skin during infection. Know the intermediate host: information children have acquired about schistosome intermediate hosts. Have prevention: information children have acquired about prevention and control measures of urinary schistosomiasis. Have treatment: information whether or not children knew the availability of treatment options against urinary schistosomiasis.
  19 in total

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2.  Prevalence and transmission dynamics of Schistosoma haematobium infection in a rural community of southwestern Ebonyi State, Nigeria.

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5.  Quantification of clinical morbidity associated with schistosome infection in sub-Saharan Africa.

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6.  The use of reagent strips for detection of urinary schistosomiasis infection in the middle Awash Valley, Ethiopia.

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7.  High prevalence of urinary schistosomiasis in two communities in South Darfur: implication for interventions.

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Journal:  PLoS Negl Trop Dis       Date:  2013-08-22

9.  Prevalence, risk factors, and clinical manifestations of schistosomiasis among school children in the White Nile River basin, Sudan.

Authors:  Hassan Ahmed Hassan Ahmed Ismail; Sung-Tae Hong; Azza Tag Eldin Bashir Babiker; Randa Mohamed Abd Elgadir Hassan; Mohammed Ahmed Zakaria Sulaiman; Hoo-Gn Jeong; Woo-Hyun Kong; Soon-Hyung Lee; Han-Ik Cho; Hae-Sung Nam; Chung Hyeon Oh; Young-Ha Lee
Journal:  Parasit Vectors       Date:  2014-10-15       Impact factor: 3.876

10.  Schistosomiasis infection among primary school students in a war zone, Southern Kordofan State, Sudan: a cross-sectional study.

Authors:  Alaa H Abou-Zeid; Tigani A Abkar; Rashid O Mohamed
Journal:  BMC Public Health       Date:  2013-07-11       Impact factor: 3.295

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  27 in total

1.  Urogenital schistosomiasis prevalence, knowledge, practices and compliance to MDA among school-age children in an endemic district, southern East Tanzania.

Authors:  Lilian C Nazareth; Eliza T Lupenza; Abdallah Zacharia; Billy E Ngasala
Journal:  Parasite Epidemiol Control       Date:  2022-07-02

2.  Burden and factors associated with schistosomiasis and soil-transmitted helminth infections among school-age children in Huambo, Uige and Zaire provinces, Angola.

Authors:  Adam W Bartlett; Jose C Sousa-Figueiredo; Susana Vaz Nery; Sergio Lopes; Roelofje C van Goor; Paul Monaghan; Warren Lancaster; Rukaaka Mugizi; Elsa P Mendes
Journal:  Infect Dis Poverty       Date:  2022-06-25       Impact factor: 10.485

3.  Knowledge, attitude and practices in relation to prevention and control of schistosomiasis infection in Mwea Kirinyaga county, Kenya.

Authors:  J Mwai; S Njenga; M Barasa
Journal:  BMC Public Health       Date:  2016-08-18       Impact factor: 3.295

4.  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.

Authors:  Tolulope Ebenezer Atalabi; Umar Lawal; Simeon Johnson Ipinlaye
Journal:  Parasit Vectors       Date:  2016-07-07       Impact factor: 3.876

5.  Urogenital schistosomiasis and associated determinant factors among senior high school students in the Dutsin-Ma and Safana Local Government Areas of Katsina State, Nigeria.

Authors:  Tolulope Ebenezer Atalabi; Umar Lawal; Francis Omowonuola Akinluyi
Journal:  Infect Dis Poverty       Date:  2016-08-02       Impact factor: 4.520

6.  Urogenital schistosomiasis in Cabo Delgado, northern Mozambique: baseline findings from the SCORE study.

Authors:  Anna E Phillips; Pedro H Gazzinelli-Guimarães; Herminio O Aurelio; Neerav Dhanani; Josefo Ferro; Rassul Nala; Arminder Deol; Alan Fenwick
Journal:  Parasit Vectors       Date:  2018-01-10       Impact factor: 3.876

7.  Prevalence and seasonal transmission of Schistosoma haematobium infection among school-aged children in Kaedi town, southern Mauritania.

Authors:  N'Guessan G C Gbalégba; Kigbafori D Silué; Ousmane Ba; Hampâté Ba; Nathan T Y Tian-Bi; Grégoire Y Yapi; Aboudramane Kaba; Brama Koné; Jürg Utzinger; Benjamin G Koudou
Journal:  Parasit Vectors       Date:  2017-07-26       Impact factor: 3.876

8.  Epidemiology of intestinal helminthiasis among school children with emphasis on Schistosoma mansoni infection in Wolaita zone, Southern Ethiopia.

Authors:  Bereket Alemayehu; Zewdneh Tomass; Fiseha Wadilo; Dawit Leja; Song Liang; Berhanu Erko
Journal:  BMC Public Health       Date:  2017-06-20       Impact factor: 3.295

9.  Knowledge, attitude, and practices towards schistosomiasis among rural population in Yemen.

Authors:  Hany Sady; Hesham M Al-Mekhlafi; Wahib M Atroosh; Ahmed K Al-Delaimy; Nabil A Nasr; Salwa Dawaki; Mona A Al-Areeqi; Init Ithoi; Awatif M Abdulsalam; Kek Heng Chua; Johari Surin
Journal:  Parasit Vectors       Date:  2015-08-25       Impact factor: 3.876

10.  Prevalence of Schistosoma mansoni Infection in Four Health Areas of Kisantu Health Zone, Democratic Republic of the Congo.

Authors:  R Khonde Kumbu; K Mbanzulu Makola; Lu Bin
Journal:  Adv Med       Date:  2016-08-07
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