Literature DB >> 25312470

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

Hassan Ahmed Hassan Ahmed Ismail1, Sung-Tae Hong2, Azza Tag Eldin Bashir Babiker3, Randa Mohamed Abd Elgadir Hassan4, Mohammed Ahmed Zakaria Sulaiman5, Hoo-Gn Jeong6, Woo-Hyun Kong7, Soon-Hyung Lee8, Han-Ik Cho9, Hae-Sung Nam10, Chung Hyeon Oh11, Young-Ha Lee12.   

Abstract

BACKGROUND: We investigated the prevalence, risk factors, and clinical manifestations of schistosomiasis in White Nile State, Sudan, to determine the local characteristics of schistosomiasis in the White Nile River basin.
METHODS: Urine and stool samples were collected from 338 students (176 boys, 162 girls) at three primary schools and were examined using the urine filtration method and the Kato-Katz technique, respectively. Of the students, 200 were interviewed using a semi-structured questionnaire to assess water-contact patterns and health conditions related with urinary schistosomiasis.
RESULTS: Of the 338 students, egg-positive rates for S. haematobium and S. mansoni were 45.0% and 5.9%, respectively, and 4.4% were mixed. The intensities of S. haematobium and S. mansoni infection were 1.091 ± 0.744 log EP10 (eggs per 10 mL of urine, mean ± SD = 57 ± 172 EP10) and 1.787 ± 0.844 log EPG (eggs per gram of stool, mean ± SD = 156 ± 176 EPG), respectively. The prevalence and intensity of S. haematobium infection differed significantly among the three schools, but not by gender or age. Urinary schistosomiasis was significantly associated with the frequencies of contaminated water contact, taking baths, swimming, and wading the stream; however, frequencies of these events were not significantly correlated with infection intensity. Self-reported hematuria and dysuria also correlated significantly with urinary schistosomiasis.
CONCLUSIONS: The overall prevalence of schistosomiasis, especially urinary schistosomiasis, is high in the White Nile River basin, Sudan, and is closely associated with frequencies of water contact, taking baths, swimming, and wading the stream. We strongly recommend implementation of an integrated schistosomiasis control program in this area.

Entities:  

Mesh:

Year:  2014        PMID: 25312470      PMCID: PMC4200116          DOI: 10.1186/s13071-014-0478-6

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


Background

Schistosomiasis, one of the most prevalent neglected tropical diseases (NTDs), remains as a public health problem in many developing countries in the tropics and subtropics, and ~700 million people worldwide are at risk of this infection [1,2]. Over 90% of the disease is currently found in sub-Saharan Africa, where more than 200,000 deaths are attributed to schistosomiasis annually [3,4]. There are several examples of dramatic increases in the prevalence of schistosomiasis as a result of irrigation project construction in sub-Saharan Africa [5]. The World Health Organization (WHO) estimated that the number of countries considered as endemic for schistosomiasis was 78 in 2011, and ~243 million people require preventative chemotherapy, including 111 million school-age children, of which 226 million are in Africa [3]. However, only ~28 million people received treatment, which is only 10.2% coverage of the global requirement for schistosomiasis treatment [3]. Schistosomiasis is a parasitic disease caused by blood vessel-dwelling flukes of the genus Schistosoma. There are several species in the genus but primarily S. haematobium (causes urinary schistosomiasis), S. mansoni, and S. japonicum (both cause intestinal schistosomiasis) infect humans. Humans are usually infected by cercarial invasion through the skin when they come into contact with contaminated freshwater during daily life [1]. In the endemic areas, children, women, fishermen, and farmers in irrigation channels are often infected with schistosomes. Urinary schistosomiasis is characterized by hematuria as a classical sign, and is associated with bladder and urethral fibrosis and hydronephrosis that are commonly seen in chronic cases, while bladder cancer is a possible late-stage complication [6]. Clinical manifestations of intestinal schistosomiasis include abdominal pain, diarrhea, and blood in the stool. In advanced cases, hepatosplenomegaly is common and is repeatedly associated with ascites and other signs of portal hypertension [1]. Sudan has wide river basin areas, due to the crossings of the Blue Nile, White Nile, and Nile Rivers, and had a large irrigated agriculture sector along the banks of these rivers. Due to this geographical environment, schistosomiasis has affected many people of Sudan for many centuries, especially in the major irrigation systems in the Gezira area between the Blue and White Nile Rivers [7,8]. To date, schistosomiasis is the most prevalent parasitic disease in Sudan, and there have been some epidemiological studies on human schistosomiasis in the Gezira Managil area, Southern Kordofan, and South Darfur, Sudan [7-14]. The White Nile River is across the White Nile State. The slow current of the White Nile River and the presence of the dense grasses and vegetation in the river create a good environment for intermediate host breeding and growth. Furthermore, there are few sanitary and clean water-supply facilities in White Nile State. It was reported that White Nile State was one of the endemic regions of schistosomiasis [8]. However, it is difficult to find recent reports, published within 10 years, about the prevalence of schistosomiasis of residents who live in White Nile River basin of White Nile State. Furthermore, there has been no reports about the risk factors for transmission of schistosomiasis in Sudan. Therefore, in order to evaluate the prevalence, risk factors for transmission, and clinical manifestations of schistosomiasis in the White Nile River basin, Sudan, we conducted urine and stool examinations as well as questionnaire surveys at three primary schools along the White Nile River basin in Sudan.

Methods

Ethical statement

This study protocol was reviewed and approved by the institutional review board of the Korea Association of Health Promotion (Acceptance No. 10-C-05) and was also approved by the National Control Program for Schistosomiasis and Soil-Transmitted Helminthes, Federal Ministry of Health, Sudan. Before doing the survey at each school, informed verbal and/or formal written consent was obtained from each child in the presence of school teachers.

The surveyed areas and population

The purpose of this survey was to evaluate the prevalence of schistosome infection among the primary school children in White Nile State. Thus, three primary schools were selected in the White Nile River basin in White Nile State, Sudan (Figure 1). The local activities of inhabitants were based on agriculture. In total 338 (176 boys, 162 girls) were enrolled from three primary schools at Khour Ajwal, Elzaefa Elahamda, and Sharrat villages (Table 1). All schools were located adjacent to the White Nile River, where the houses in the villages were built with mud bricks. Khou Ajwal and Elzaefa Elahamda schools are located within 1 km from the border of White Nile River, whereas Sharrat school is located about 3 km form the border of the River. They consisted of 47.0% 7–9-year-olds (159 students), 33.7% 10–12-year-olds (114 students), and 19.2% 13–15-year-olds (65 students). Their mean age was 10.0 (range, 7–15) years old; 52.1% (176) were boys and 47.9% (162) girls.
Figure 1

Location of study areas in the White Nile River basin, White Nile State, Sudan. The colored area indicates White Nile State, Sudan. The White Nile River runs inside the state and crosses the whole state.

Table 1

Lists of surveyed schools, school children and samples for the examination of schistosomiasis in White Nile State, Sudan

School name Sex No. of exam (%) Age group (Years old) No. of samples
7-9 10-12 13-15 Total Urine Stool Questionnaire
Khour AjwalBoys4722141147474747
Girls7828282278787878
Subtotal 125 (37.0) 50 42 33 125 125 125 125
Elzaefa ElahamdaBoys55 25 22855555540
Girls2917 7 529292910
Subtotal 84 (24.9) 42 29 13 84 84 84 50
SharratBoys7435251474747414
Girls553218555555511
Subtotal 129 (38.2) 67 43 19 129 129 129 25
TotalBoys176 (52.1)826133176176176101
Girls162 (47.9)77533216216216299
Total 338 (100.0) 159 (47.0) 114 (33.7) 65 (19.2) 338 (100.0) 338 (100.0) 338 (100.0) 200 (59.2)
Location of study areas in the White Nile River basin, White Nile State, Sudan. The colored area indicates White Nile State, Sudan. The White Nile River runs inside the state and crosses the whole state. Lists of surveyed schools, school children and samples for the examination of schistosomiasis in White Nile State, Sudan

Parasitological examination

Parasitological surveys were undertaken from April, 2009 to February, 2010. The urine and stool samples were collected and immediately transferred to the parasitological laboratory in Rabak, White Nile State, Sudan. Only one sample each of urine and stool was taken per child. We first observed whether the urine samples showed occult or gross hematuria, and then the urine samples were screened for S. haematobium eggs by a filtration method [15]. The filtration device was composed of a plastic filter holder with a nylon filter (pore size, 12.0 μm; Millipore, Ireland), fixed by a rubber O-ring that prevented urine from bypassing the filter. Urine (10 mL) was filtered forcibly through the filter membrane with a syringe. Eggs of S. haematobium were filtered and counted per 10 mL of urine (EP10) under a light microscope. Infection intensities were classified into two categories: light (EP10 < 50) and heavy infection (EP10 ≥ 50) [16]. The collected stool samples were diagnosed parasitologically using the Kato-Katz technique [17]. The fecal materials were examined under a microscope, and counts were multiplied by 24 to provide total estimated egg counts. The infection intensity of S. mansoni was classified according to the number of eggs per gram of stool (EPG): light (EPG <100), moderate (100 ≤ EPG <400), or high (EPG ≥400) [18]. We also examined the other parasites beside schistosomes from the stool samples.

Interviews of school children on water-contact patterns and health conditions

The semi-structured questionnaires consisted of two parts: one for water-contact patterns influencing transmission of schistosomiasis, and the other for information about health conditions related to schistosomiasis. Teachers or health officials explained the process to the students thoroughly, and then the school children were interviewed individually, and their verbal responses were written down. Interviews were carried out with 125 students at Khour Ajwal school, 50 students at Elzaefa Elahamda school, and 25 students at Sharrat school, depending on the availability of interviewers.

Statistical analyses

Data were analyzed using the SPSS software (ver. 16.0; Chicago, IL, USA). Due to the deviation from normality distribution, infection intensity in terms of EP10 and EPG was transformed into logarithm, namely log EP10 or log EPG. The differences in continuous variables among groups were tested using a two-tailed Mann-Whitney U test, Kruskal-Wallis test, and Student’s t test. Categorical variables were tested using the χ2 test. Logistic regression analysis was used to assess the association between study variables and S. haematobium and S. mansoni infection. Odds ratios (OR) and 95% confidence intervals (CI) were calculated. Differences among groups were considered significant at P <0.05.

Results

Overall prevalence of schistosomiasis

As shown in Table 2 and Figure 2, 157 of 338 (46.5%) students were found to be infected by S. haematobium or S. mansoni, and 4.4% of them had mixed infections. Seventeen children (5.0%) from two schools (Khour Ajwal and Elzaefe Elahamda) had visible hematuria. The egg-positive rates for S. haematobium and S. mansoni were 45.0% (152 cases) and 5.9% (20 cases), respectively. The egg-positive rate of Schistosoma species in boys and girls were 48.9% (86 cases) and 43.8% (71 cases), respectively, and schistosome egg-positive rates were not significant differences of between sexes (0.213 < P <0.590). The egg-positive rates by age group were 47.8% in 7–9-year-olds (76/159), 44.7% in 10–12-year-olds (51/114), and 46.2% in 13–15-year-olds (30/65; Table 2). The egg-positive rates were not different between groups by age (P >0.05), but did differ significantly by village: 60.0% in Khour Ajwal, 73.8% in Elzaefa Elahamda, and 14.7% in Sharrat school (P <0.05). All students infected with schistosomes were treated with praziquantel at 40 mg/kg. From the stool samples We also found 6 cases of Hymenolepis nana, 1 case of H. diminuta and 3 cases of Entamoeba coli, beside schistosome.
Table 2

Results of positive cases of species based on urine and stool examination according to school and sex in White Nile State, Sudan

School name Sex No. of exam. (%) Schistosoma egg positive cases by age group (%) OR (95% CI) P- value
7-9 10-12 13-15 Total
Khour AjwalBoys471695301.228 (0.582-2.590)0.590
Girls78161713461
Subtotal 125 33 26 18 76 (60.8)
Elzaefa ElahamdaBoys5520158431.886 (0.695-5.116)0.213
Girls291153191
Subtotal 84 31 20 11 62 (73.8)
SharratBoys74841131.740 (0.616-4.913)0.295
Girls5551061
Subtotal 129 13 5 1 19 (14.7)
TotalBoys17644281486 (48.9)1.225 (0.798-1.880)0.354
Girls16232231671 (43.8)1
Total 338 (100.0) 76 (47.8) 51 (44.7) 30 (46.2) 157 (46.5)

OR, Odds ratio.

CI, confidence interval.

Figure 2

Positive rates of and/or infections and hematuria. Of the 338 students, 46.5% were infected by S. haematobium or S. mansoni, and 4.4% had mixed infections. The egg-positive rates for S. haematobium and S. mansoni were 45.0% and 5.9%, respectively. Hematuria was seen in 5.0% of the students.

Results of positive cases of species based on urine and stool examination according to school and sex in White Nile State, Sudan OR, Odds ratio. CI, confidence interval. Positive rates of and/or infections and hematuria. Of the 338 students, 46.5% were infected by S. haematobium or S. mansoni, and 4.4% had mixed infections. The egg-positive rates for S. haematobium and S. mansoni were 45.0% and 5.9%, respectively. Hematuria was seen in 5.0% of the students.

Analysis of egg-positive cases of S. haematobium

The egg-positive rate of S. haematobium was 45.0% (152 cases), and 15 of them were also infected with S. mansoni (double infection rate, 4.4%; Tables 2 and 3, Figure 2). The S. haematobium egg-positive rates of boys and girls were 48.9% (86/176) and 40.7% (66/162; P = 0.134), respectively. The egg-positive rates by age groups were 45.6% in 7–9-year-olds, 43.0% in 10–12-year-olds, and 44.6% in 13–15-year-olds (0.560 < P <0.820). According to school, the egg-positive rates for S. haematobium in Khour Ajwal, Elzaefa Elahamda, and Sharrat schools were 56.8%, 73.8%, and 14.7%, respectively (P <0.001).
Table 3

Univariate analysis of factors associated with infection among school children who participated in this study (n = 338)

Variable Category No. exam. No. positive (%) OR (95% CI) P- value by logistic regression Intensity of positive cases
Mean ± S.D. (log EP10) P- value
Age in years7-915974 (45.6)11.181 ± 0.7360.249
10-1211449 (43.0)0.87 (0.53-1.41)0.5601.061 ± 0.800
13-156529 (44.6)0.93 (0.52-1.65)0.8320.914 ± 0.654
SexBoys17686 (48.9)11.147 ± 0.7320.296
Girls16266 (40.7)0.72 (0.47-1.11)0.1341.019 ± 0.760
SchoolKhour Ajwal12571 (56.8)7.61 (4.17-13.90) <0.001 0.936 ± 0.824 0.001
Elzaefa Elahamda8462 (73.8)16.32 (8.20-32.47) <0.001 1.355 ± 0.634
Sharrat12919 (14.7)10.810 ± 0.483

OR, Odds ratio.

CI, confidence interval.

Univariate analysis of factors associated with infection among school children who participated in this study (n = 338) OR, Odds ratio. CI, confidence interval. The intensities of S. haematobium-infected school children were 1.091 ± 0.744 log EP10 (range, 1–1,755 EP10; mean ± SD = 57 ± 172 EP10; Table 3). Of these infected school children, 76.3% had light infection (EP10 < 50) and 23.7% were considered to be heavily infected. The mean intensity in boys was 1.147 ± 0.732 log EP10 (range, 1–1,755 EP10) while that of girls was 1.019 ± 0.760 log EP10 (range, 1–570 EP10; P = 0.296). According to age group, the highest intensity was seen in the 7–9 year age group (1.18 ± 0.736 log EP10; range, 1–864 EP10), followed by 10–12 years and 13–15 years (P = 0.249). The intensity difference between schools was significant, with the highest burden of 1.355 ± 0.634 log EP10 (range, 1-864 EP10) at Elzaefa Elahamda school (P = 0.001).

Analysis of egg-positive cases of S. mansoni

The egg-positive rate for S. mansoni was 5.9% (20 cases), and 15 of them were also infected with S. haematobium (Tables 2, 4). The S. mansoni egg-positive rate in girls (15 cases, 9.3%) was higher than that in boys (5 cases, 2.8%; P = 0.019), but the rate difference was not significant by age (0.450 < P <0.701). The egg-positive rate of S. mansoni was 16.0% in Khour Ajwal school, whereas none was found in the Elzaefa Elahamda or Sharrat schools (Table 4).
Table 4

Univariate analysis of factors associated with infection among school children who participated in this study (n = 338)

Variable Category No. exam. No. positive (%) OR (95% CI) P- value by logistic regression Intensity of cases
Mean ± S.D. (log EPG) P- value
Age in years7-91598 (5.0)11.537 ± 0.9600.736
10-121147 (6.1)1.23 (0.43-3.49)0.7011.884 ± 0.922
13-15655 (7.7)1.56 (0.49-4.97)0.4502.053 ± 0.515
SexBoys1765 (2.8)11.117 ± 1.0680.058
Girls16215 (9.3)3.47 (1.23-9.78) 0.019 2.011 ± 0.653
SchoolKhour Ajwal12520 (16.0)--1.787 ± 0.844-
Elzaefa Elahamda840 (0.0)
Sharrat1290 (0.0)

OR, Odds ratio.

CI, confidence interval.

Univariate analysis of factors associated with infection among school children who participated in this study (n = 338) OR, Odds ratio. CI, confidence interval. The intensity of S. mansoni-infected children was 1.787 ± 0.844 log EPG (range, 1–600 EPG; mean ± SD = 156 ± 176 EPG; Table 4). There was no significant difference by gender or age groups. Among infected children, 85.0% were classified as light or moderate infection (EPG <400), and 15.0% were considered heavily infected (EPG ≥400).

Questionnaire responses for related risk factors and symptoms

Of the 200 students interviewed, 82 were S. haematobium egg-negative (41.0%) and 118 students (59.0%) were positive (Table 5). Regarding the frequency of water-contact, most of the children contacted water outside the house daily (74.5%), while others did so weekly (13.0%) or less often than weekly (12.5%). The egg-positive rates of students who contacted water increased with increased frequency of water contact (OR = 3.42, 95% CI = 1.41-8.27, P = 0.006), but no significant difference was seen between the frequency of water contact and infection intensity.
Table 5

Distribution of egg positive rates according to water-contact patterns among 200 answered-school children in White Nile State, Sudan

Variables No. (%) No. of negative (%) (n = 82) No. of positive (%) (n = 118) OR 95 % CI P -value by logistic regression Intensity of positive cases
Mean ± S.D. (log EP10) P- value
Contact for any reason0.609
Daily149 (74.5)51 (34.2)98 (65.8)3.421.41-8.27 0.006 1.099 ± 0.781
Weekly26 (13.0)15 (57.7)11 (42.3)1.300.42-4.030.6451.320 ± 0.769
> Weekly25 (12.5)16 (64.0)9 (36.0)10.995 ± 0.871
Collecting water0.982
Daily147 (73.5)53 (36.1)94 (63.9)1.890.87-4.130.1091.118 ± 0.791
Weekly22 (11.0)13 (59.1)9 (40.9)0.740.25-2.230.5901.076 ± 0.833
> Weekly31 (15.5)16 (51.6)15 (48.4)11.090 ± 0.757
Taking baths0.701
Daily137 (68.5)46 (33.6)91 (66.4)4.262.02-9.00 0.000 1.132 ± 0.783
Weekly22 (11.0)8 (36.4)14 (63.6)3.771.27-11.21 0.017 0.945 ± 0.696
> Weekly41 (20.5)28 (68.3)13 (31.7)11.143 ± 0.907
Swimming0.658
Daily132 (66.0)43 (32.6)89 (67.4)4.011.98-8.11 0.000 1.149 ± 0.784
Weekly21 (10.5)8 (38.1)13 (61.9)3.151.08-9.16 0.035 0.981 ± 0.710
> Weekly47 (23.5)31 (66.0)16 (34.0)11.008 ± 0.863
Washing clothes0.643
Daily124 (62.0)41 (33.1)83 (66.9)1.940.97-3.880.0621.154 ± 0.774
Weekly31 (15.5)19 (61.3)12 (38.7)0.600.24-1.530.2880.966 ± 0.939
> Weekly45 (22.5)22 (48.9)23 (51.1)11.032 ± 0.753
Wading the stream0.307
Daily82 (41.0)22 (26.8)60 (73.2)2.861.50-5.45 0.001 1.194 ± 0.825
Weekly32 (16.0)16 (50.0)16 (50.0)1.050.46-2.360.9111.194 ± 0.756
> Weekly86 (43.0)44 (51.2)42 (48.8)10.962 ± 0.727
Farming0.533
Daily35 (17.5)11 (31.4)24 (68.6)1.710.76-3.810.1930.957 ± 0.786
Weekly51 (25.5)21 (41.2)30 (58.8)1.120.57-2.180.7481.189 ± 0.786
> Weekly114 (57.0)50 (43.9)64 (56.1)11.133 ± 0.786
Washing the vegetables0.668
Daily23 (11.5)8 (34.8)15 (65.2)1.410.56-3.520.4671.031 ± 0.852
Weekly30 (15.0)11 (36.7)19 (63.3)1.300.58-2.920.5321.253 ± 0.772
> Weekly147 (73.5)63 (42.9)84 (57.1)11.094 ± 0.780
Fishing0.157
Daily11 (5.5)4 (36.4)7 (63.6)2.000.34-4.240.7780.947 ± .0635
Weekly7 (3.5)4 (57.1)3 (42.9)0.390.11-2.360.3921.943 ± 0.393
> Weekly182 (91.0)74 (40.7)108 (59.3)11.099 ± 0.790
Distribution of egg positive rates according to water-contact patterns among 200 answered-school children in White Nile State, Sudan Next, we analyzed the risk factors for urinary schistosomiasis according to the water-contact patterns of the children. The frequencies of water-contact for taking baths (OR = 4.26, 95% CI = 2.02-9.00, P <0.001), swimming (OR = 4.01, 95% CI = 1.98-8.11, P <0.001) and wading the stream (OR =2.86, 95% CI = 1.50-5.45, P = 0.001) were related to the egg-positive rates, and positive rates were significantly higher among children who contacted water of daily versus those with weekly or less often than weekly contact (P ≤0.001). In contrast, there was no significant correlation between frequency of water contact and egg-positive rates in cases of collecting water, farming, fishing, or washing vegetables. There was no significant correlation between infection intensity and frequencies of water contact (0.157 < P <0.982; Table 5). Table 6 summarizes symptoms related to egg-positivity and infection infectivity in urinary schistosomiasis. All of 200 students interviewed complained of at least one of the symptoms within the last 6 months. Hematuria (OR = 5.27, 95% CI = 2.59-10.73, P <0.001) and dysuria (OR = 3.56, 95% CI = 1.97-6.43, P <0.001) were significantly correlated with S. haematobium infection, whereas skin redness (OR = 0.49, 95% CI = 0.25-0.96, P = 0.038) was significantly related with non-infection. Skin itching, frequent fatigue, urticaria, diarrhea, fever, and weight loss were not significantly associated with urinary infection (0.058 < P <0.840). There was a significant correlation between infection intensity and hematuria (P =0.028).
Table 6

Distribution of egg positive rates according to symptoms related with urinary schistosomiasis within 6 months among 200 answered-school children in White Nile State, Sudan

Symptoms No. of answered (%) No. of negative. (%) (n = 82) No. of positive. (%) (n = 118) OR 95% CI P -value by logistic regression Intensity positive cases
Mean ± S.D. (log EPG) P -value
Skin itching
No89 (44.5)37 (41.6)52 (58.4)11.233 ± 0.867
Yes111 (55.5)45 (40.5)66 (59.5)1.040.59-1.840.8831.016 ± 0.7030.136
Skin redness
No154 (77.0)57 (37.0)97 (63.0)11.151 ± 0.791
Yes46 (23.0)25 (54.3)21 (45.7)0.490.25-0.96 0.038 0.928 ± 0.7400.237
Frequent fatigue
No107 (53.5)47 (43.9)60 (56.1)11.169 ± 0.805
Yes93 (47.5)35 (37.6)58 (62.4)1.300.74-2.290.3671.052 ± 0.7630.420
Hematuria
No132 (66.0)70 (53.0)62 (47.0)10.962 ± 0.778
Yes68 (34.0)12 (17.6)56 (82.4)5.272.59-10.73 0.000 1.277 ± 0.762 0.028
Urticaria
No199 (99.5)82 (41.2)117(58.8)11.117 ± 0.785
Yes1 (0.5)0 (0.0)1 (100.0)0.000.001.0000.4770.419
Diarrhea
No137 (68.5)56 (40.9)81 (59.1)11.189 ± 0.775
Yes63 (31.5)26 (41.3)37 (58.7)0.980.54-1.800.9580.942 ± 0.7850.113
Fever
No77 (38.5)31 (40.3)46 (59.7)11.283 ± 0.785
Yes123 (61.5)51 (41.5)72 (58.5)0.950.53-1.700.8661.002 ± 0.7680.058
Dysuria
No86 (43.0)50 (58.1)36 (41.9)11.089 ± 0.796
Yes114 (57.0)32 (28.1)82 (71.9)3.561.97-6.43 0.000 1.121 ± 0.7830.840
Weight loss
No59 (29.5)25 (42.4)34 (57.6)11.075 ± 0.733
Yes141 (70.5)57 (40.4)84 (59.6)1.080.59-2.010.7981.126 ± 0.8070.752
Distribution of egg positive rates according to symptoms related with urinary schistosomiasis within 6 months among 200 answered-school children in White Nile State, Sudan

Discussion

In Sudan, schistosomiasis is the most prevalent parasitic disease, and both urogenital and intestinal forms of schistosomiasis are common throughout the country with geographically varying degrees of prevalence [19]. According to previous reports on schistosomiasis, the overall prevalences of infections with S. mansoni, S. haematobium, or both among 6,122 children from 27 schools in the White Nile Province were 10.1%, 21.4%, and 4.5%, respectively [8]. The prevalence of S. haematobium in the Upper Nile region and South Darfur were 73% and 56.0%, respectively [9,10]. And the prevalence of S. haematobium in the River Nile State and Southern Kordofan State were 1.7% and 23.7%, respectively; however, there was no S. mansoni infection [11,12]. These data show that there was marked geographical variation in the prevalence of Schistosoma species infection. Depending on the survey sites, there was a big variability in Schistosoma species. The egg-positive rates of S. haematobium, S. mansoni, and both in the White Nile River basin were 45.0%, 5.9%, and 4.4%, respectively. The prevalence of S. haematobium infection in the area was lower than that in the Upper Nile region and South Darfur, Sudan [9,10]. However, compared with the results of the same area in 1996 [8], the S. haematobium egg-positive rate was increased more than two times. This study proved that the prevalence of S. haematobium infection was maintained at a high level in White Nile State. Schistosomiasis may have been neglected simply because it is more difficult to include chronic disability and illness into the agenda of Ministries of Health, Sudan, especially in the presence of more important diseases such as HIV/AIDS, TB and Malaria. Even if control successes were achieved in some areas of Sudan, they could not be sustained due to lack of funding [20]. Infection intensity reflects the number of worms infecting the individual, and is a more reliable marker of treatment success, which is defined as the removal of egg-laying worms. Also infection intensity is a better indicator of morbidity than prevalence in schistosomiasis [21]. According to the previous reports in Sudan, before praziquantel treatment, the intensities of S. haematobium were as high as 12.9 EP10 in White Nile Province [8], 25.5 EP10 at Gereida Camp in southern Darfur [13], and 87.7 EP10 (geometric mean) in Central Sudan [16]. Also, the intensities of S. mansoni were 97.7 EPG in White Nile Province [8] and 1.7 EPG (geometric mean) in the Geizira area of Central Sudan [22]. In the present study, more than 75% of the infected children were considered to have light or moderate infection of both S. haematobium (EP10 < 50) and S. mansoni infection (EPG <400), and the mean intensities of S. haematobium and S. mansoni-infected children were 57 EP10 (1.091 ± 0.744 log EP10) and 156 EPG (1.787 ± 0.844 log EPG), respectively. These data indicated that the intensities of S. haematobium and S. mansoni infection in the White Nile River basin had increased in comparison with previous results from 1996 [8], which were 12.9 EP10 and 97.7 EPG, respectively. Apparently, S. haematobium egg-positive rates in Khour Ajwal and Elzaefa Elahamda school children showed very high egg-positive rates (60.8-73.8%); thus, mass praziquantel treatment should be conducted in school-age children and high-risk groups of the population according to the WHO regulation guidelines urgently [18]. To implement the comprehensive schisotosomiasis control, besides mass therapy, the control plan should include various components such as health education, construction of a facility to supply drinking water and sanitary facilities, and vector control. This study showed that there were significant differences in S. haematobium egg-positive rates between schools, but not between gender or age groups. In contrast, the egg-positive rates of S. mansoni were significantly different between boys and girls, but not among schools or age groups. Many reports showed that males usually have higher prevalence of schistosomiasis than females, and this was attributed to the observation that boys are more outgoing and adventurous in nature and they tend to play away from their homes more than their female counterparts [23]. These results may be due to various factors, such as proximity to the main stream, intermediate host snail distribution, environmental contamination with human excreta, human water-contact patterns and host-parasite relationships [24]. In the present study, the egg-positive rate of Sharrat village was much lower than that of Khour Ajwal and Elzaefa Elahamda villages. It may be due to several factors. Drinking water supply facilities such as artesian well and water filter systems were established in Sharrat village, but not in the other villages. Also the distance to the White Nile River of Sharrat village was 3 times longer (about 3 km) than that of Khour Ajwal and Elzaefa Elahamda villages (both within 1 km). Furthermore, Sharrat villagers may receive more health education about how to manage the pump operating clean water and the importance of clean water. Schistosomiasis has been spread by contact with water that contains the larval parasites. In the present study, a higher frequency of water contact was significantly associated with higher positivity, but not with infection intensity. Similar results have been reported before: that the frequency of water-contact activities correlated with infective rates, but not with infection intensity [12,23,25]. The same patterns were observed in the present study. The frequency of water-contact activities of Sharrat school children was almost one third of Khour Ajwal and Elzaefa Elahamda schools, thus the egg-positive rate of Sharrat school children was significantly lower that of the other villagers. Next, we analyzed water-contact patterns to evaluate risk factors for the transmission of schistosomiasis. The frequency of water contact for bathing, swimming, and wading streams were significantly associated with the infection rate of urinary schistosomiasis, as reported by Rudge et al. [23]. However, others have described that fishing and watering vegetables were also closely associated with infection rates and the frequency of water-contact [25] and that the frequency of water-contact was not significantly associated with infection [26]. After infection by schistosomes, symptoms may develop, including fever, chills, cough, and muscle aches, within 1–2 months of infection. Later, without treatment, schistosomiasis can persist for years with abdominal pain, enlarged liver, blood in the stool and/or urine, and problems passing urine. Chronic infection can also lead to an increased risk of bladder cancer [1]. In this study, school children were the target subjects to be carefully looked at for evaluating the prevalence, risk factors and clinical manifestation of schistosomiasis, because schistosomiasis has detrimental effects on their growth and development, and the early diagnosis and treatment reduces the risk of severe disease and childhood disability [2,27]. Based on the questionnaire responses, hematuria and dysuria showed significant correlations with S. haematobium infection. Previous studies have shown that self-reported hematuria had the best correlation with urinary schistosomiasis in school-based control programs [23,28]; however, dysuria did not [29]. In the present study, the percentage of hematuria was significantly high at self-reporting cases (30%) in comparison to the authors’ observation (5%). This is why the conditions of hematuria were different from the authors’ own observation and self-reporting cases. We assessed hematuria immediately after collection of urine samples, whereas hematuria assessed by questionnaires was the accumulative result of recall of information over the last 6 months, which was not a real situation at that time point. Also, we observed that even uninfected children identified by microscopic examination reported schistosomiasis-related symptoms. The situation can be explained in several ways. First, self-reporting symptoms beside hematuria or dysuria were not specific for schistosomiasis, so they could suffer these symptoms arising from the other diseases during last 6 months. Second, the surveyed population were primary school children, who do not have the ability to define the various features of symptoms. Indeed, the results by questionnaire showed some bias and were different from the real features of symptoms. In case of skin redness, there were significantly unrelated to infection. This could be because there are many reasons for skin redness and it was not possible for primary school children to differentiate the etiology of the skin redness by schistosomiasis or other factors. This study has some limitations. A single egg count used in the present study is less reliable in estimating the prevalence and infection intensities of schistosomiasis. The examination of two or more specimens per child would likely have resulted in higher estimates of total prevalence and intensity. Another limitation is the lack of information on adults, preschool children, and non-enrolled school-age children. Recent reports have suggested that adults and preschool children are at risk of schistosomiasis and can contribute to transmission [30]; thus, a population based survey is required to provide an overview of schistosomiasis in the target area. Taken together, schistosomiasis, especially urinary schistosomiasis, is highly prevalent in the White Nile River basin of Sudan. Frequencies of water-contact by bathing, swimming, and wading the stream are risk factors for schistosomiasis in school children. Self-reported hematuria and dysuria are significantly associated with S. haematobium infection. These data provide essential information to facilitate targeted control measures to keep children healthy in White Nile State, Sudan.

Conclusions

Our results showed that the prevalence of schistosomiasis is still high among school children along the White Nile River basin, Sudan, especially urinary schistosomiasis. Also, the frequencies of water contact for leisure and domestic activities are significantly associated with the prevalence of schistosomiasis. Thus, there is a need for an effective schistosomiasis control program to reduce contaminated water contact through the provision of sanitary and safe-water supply facilities as well as mass chemotherapy and health education.
  27 in total

1.  High prevalence of Schistosoma haematobium infection in Gereida Camp, in southern Darfur, Sudan.

Authors:  A A Ahmed; A A Afifi; I Adam
Journal:  Ann Trop Med Parasitol       Date:  2009-12

Review 2.  Schistosomiasis.

Authors:  Bruno Gryseels
Journal:  Infect Dis Clin North Am       Date:  2012-06       Impact factor: 5.982

3.  Micro-epidemiology of urinary schistosomiasis in Zanzibar: Local risk factors associated with distribution of infections among schoolchildren and relevance for control.

Authors:  James W Rudge; J Russell Stothard; María-Gloria Basáñez; Ali F Mgeni; I Simba Khamis; Alliepo N Khamis; David Rollinson
Journal:  Acta Trop       Date:  2007-10-02       Impact factor: 3.112

4.  Schistosomiasis and soil-transmitted helminths among an adult population in a war affected area, Southern Kordofan state, Sudan.

Authors:  Alaa Hammad Ali Abou-Zeid; Tigani Abdullah Abkar; Rashid Osman Mohamed
Journal:  Parasit Vectors       Date:  2012-07-03       Impact factor: 3.876

5.  Schistosoma haematobium infections among schoolchildren in central Sudan one year after treatment with praziquantel.

Authors:  Abedaziz M Ahmed; Hana Abbas; Fathi A Mansour; Gasim I Gasim; Ishag Adam
Journal:  Parasit Vectors       Date:  2012-06-07       Impact factor: 3.876

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

Authors:  Kebede Deribe; Abdeljbar Eldaw; Samir Hadziabduli; Emmanuel Kailie; Mohamed D Omer; Alam E Mohammed; Tanole Jamshed; Elmonshawe A Mohammed; Ali Mergani; Gafar A Ali; Khalid Babikir; Abdulrahman Adem; Farouq Hashim
Journal:  Parasit Vectors       Date:  2011-02-07       Impact factor: 3.876

7.  Prevalence distribution and risk factors for Schistosoma hematobium infection among school children in Blantyre, Malawi.

Authors:  Atupele P Kapito-Tembo; Victor Mwapasa; Steven R Meshnick; Young Samanyika; Dan Banda; Cameron Bowie; Sarah Radke
Journal:  PLoS Negl Trop Dis       Date:  2009-01-20

8.  Schistosoma hematobium and S. mansoni among children, Southern Sudan.

Authors:  Roberto Deganello; Mario Cruciani; Claudio Beltramello; Otine Duncan; Vincent Oyugi; Antonio Montresor
Journal:  Emerg Infect Dis       Date:  2007-10       Impact factor: 6.883

Review 9.  Epidemiology and control of human schistosomiasis in Tanzania.

Authors:  Humphrey D Mazigo; Fred Nuwaha; Safari M Kinung'hi; Domenica Morona; Angela Pinot de Moira; Shona Wilson; Jorg Heukelbach; David W Dunne
Journal:  Parasit Vectors       Date:  2012-11-28       Impact factor: 3.876

10.  Adult population as potential reservoir of NTD infections in rural villages of Kwale district, Coastal Kenya: implications for preventive chemotherapy interventions policy.

Authors:  Sammy M Njenga; Charles S Mwandawiro; Erastus Muniu; Mariam T Mwanje; Fatma M Haji; Moses J Bockarie
Journal:  Parasit Vectors       Date:  2011-09-14       Impact factor: 3.876

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1.  Schistosoma mansoni PCR+ -infected individuals in the Sudan present elevated systemic levels of chemokines when compared to uninfected and egg+ cohorts.

Authors:  K Arndts; T E M Elfaki; N Jelden; M Ritter; A Wiszniewsky; G Katawa; I A Goreish; M E Y A Atti El Mekki; M J Doenhoff; A Hoerauf; L E Layland
Journal:  Clin Exp Immunol       Date:  2019-03-19       Impact factor: 4.330

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.  Significance of Echogenic Snow Sign as an Ultrasonography Finding for Diagnosis of Urogenital Schistosomiasis.

Authors:  Min Jae Kim; Kyungshick Ryu; Yan Jin; Young Ha Lee; Hoo Gn Jeoung; Adl Al Wahab Saeed; Seung Hyup Kim; Sung-Tae Hong
Journal:  Am J Trop Med Hyg       Date:  2016-08-22       Impact factor: 2.345

4.  Genetic Diversity of Schistosoma haematobium Eggs Isolated from Human Urine in Sudan.

Authors:  Juan-Hua Quan; In-Wook Choi; Hassan Ahmed Hassan Ahmed Ismail; Abdoelohab Saed Mohamed; Hoo-Gn Jeong; Jin-Su Lee; Sung-Tae Hong; Tai-Soon Yong; Guang-Ho Cha; Young-Ha Lee
Journal:  Korean J Parasitol       Date:  2015-06-30       Impact factor: 1.341

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

Authors:  Shashie Geleta; Agersew Alemu; Sisay Getie; Zeleke Mekonnen; Berhanu Erko
Journal:  Parasit Vectors       Date:  2015-04-10       Impact factor: 3.876

6.  Multivariable Regression Analysis in Schistosoma mansoni-Infected Individuals in the Sudan Reveals Unique Immunoepidemiological Profiles in Uninfected, egg+ and Non-egg+ Infected Individuals.

Authors:  Tayseer Elamin Mohamed Elfaki; Kathrin Arndts; Anna Wiszniewsky; Manuel Ritter; Ibtisam A Goreish; Misk El Yemen A Atti El Mekki; Sandra Arriens; Kenneth Pfarr; Rolf Fimmers; Mike Doenhoff; Achim Hoerauf; Laura E Layland
Journal:  PLoS Negl Trop Dis       Date:  2016-05-06

7.  The presence of donor liver granuloma requiring further workup to rule out parasitic disease.

Authors:  Atta Nawabi; Jesus Garcia; Anna Jimenez; Scott Turner; Mojtaba Olyaee; Wei Cui; Timothy Schmitt; Sean Kumer; Mark Reintjes; Ryan Taylor; Judi Olson; Nadia Nawabi; Perwaiz Nawabi
Journal:  J Surg Case Rep       Date:  2017-04-21

8.  Comparison of ELISA and Urine Microscopy for Diagnosis of Schistosoma haematobium Infection.

Authors:  Hyun Beom Song; Jiyoung Kim; Yan Jin; Jin Soo Lee; Hoo Gn Jeoung; Young Ha Lee; Abd Al Wahab Saeed; Sung-Tae Hong
Journal:  J Korean Med Sci       Date:  2018-08-07       Impact factor: 2.153

9.  In vitro and in vivo activity of R- and S- praziquantel enantiomers and the main human metabolite trans-4-hydroxy-praziquantel against Schistosoma haematobium.

Authors:  Jana Kovač; Mireille Vargas; Jennifer Keiser
Journal:  Parasit Vectors       Date:  2017-08-01       Impact factor: 3.876

10.  Environmental factors influencing Prevention and Control of Schistosomiasis Infection in Mwea, Kirinyaga County Kenya: A cross sectional study.

Authors:  Judy Mwai; Jarim Oduor Omogi; Mohamed H Abdi
Journal:  East Afr Health Res J       Date:  2021-06-11
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