Abstract
Soil-transmitted helminths and Schistosoma haematobium affect more than 3 billion people globally and mainly occur in sub-Saharan Africa. The present study assessed the overall infection status of a 1716-student cohort of schoolchildren in Zanzibar and applied mass drug administration (MDA) to the cohort from 2007 to 2009. Schools in Pemba, Zanzibar, had a much higher prevalence of soil-transmitted helminth infections than those in Unguja, and the Chaani, Ghana, and Machui schools of Unguja exhibited high S. haematobium infection rates. The MDA program only partially controlled parasite infections, owing to high rates of re-infection. The infection rate of S. haematobium across all 10 schools, for example, was only reduced by 1.8%, and even this change not significant, even though the S. haematobium infection rates of the Chaani and Mzambarauni schools were significantly reduced from 64.4 and 23.4%, respectively, at the first screening, to 7.3 and 2.3% at the last screening. The overall infection rate of Ascaris lumbricoides was reduced from 36.0% at the first screening to 22.6% at the last screening. However, the infection rates for both Trichuris trichiura and hookworm were generally unaffected by MDA. In the future, parasite control programs should involve strategically designed MDA schedules and holistic intervention (e.g., sanitation improvement, hygiene behavior changes, and control of intermediated hosts).
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Key words: Schistosoma haematobium, soil-transmitted helminth, neglected tropical disease, mass drug administration, Zanzibar
INTRODUCTION
Infections by soil-transmitted helminths (STHs:
Ascaris lumbricoides, Trichuris trichiura, and hookworm) and schistosomiasis, which is caused by
Schistosoma haematobium, are considered neglected tropical diseases [
1] and have been reported to affect more than 3 billion people globally, although mainly in sub-Saharan Africa [
2]. These neglected tropical diseases are strongly associated with poverty [
3] and contribute to anemia, impaired cognitive development, and the retardation of childhood growth, thereby preventing children from completing academic courses and sustaining their poverty [
4,
5]. In addition,
S. haematobium infection is a risk factor for bladder cancer [
6]. Therefore, the World Health Organization has developed a plan for eliminating STH and schistosome infections by 2020 [
7], through the mass drug administration (MDA) to at-risk populations, including children [
8].
The March 2009 report of the Ministry of Health of Zanzibar reported that an estimated one million people (82% of total population) throughout Zanzibar (Unguja and Pemba) are infected with
S. haematobium and STHs, and although STH infections have been decreasing in Unguja, they are still problematic in Pemba [
9–
11]. Furthermore, urinary schistosomiasis has long been known to occur in Zanzibar and is known to affect school children [
12–
16]. The disease is locally transmitted by the freshwater snail
Bulinus globosus, which establishes an endemic area of
S. haematobium infection [
13], since humans are infected by
S. haematobium when they interact with water inhabited by
B. globosus.
Accordingly, the purpose of the present study was to survey the parasitic infections rates of children in Zanzibar, to reduce overall parasitic infections using MDA, and to assess the association between parasitic infections and hemoglobin concentration or growth. A cohort of 1,716 children from 10 primary schools in Zanzibar (6 in Unguja and 4 in Pemba) were enrolled for 3 years’ follow-up from 2007 to 2009. The parasitic infection status (Ascaris lumbricoides, Trichuris trichiura, hookworm, and S. haematobium), body weight, and hemoglobin concentration of the children were assessed, and MDA was conducted.
MATERIALS AND METHODS
Ethical considerations
The present study was approved by the Ministry of Health and Social Welfare and Ministry of Education and Vocational Training, Zanzibar, under the agreement of the ‘Korea-Zanzibar collaborative project on health promotion through parasite control among school children in Zanzibar (2007–2009)’. All participants provided written informed consent before participating in the study.
Study area and population
Zanzibar, which is a semi-autonomous archipelago in Tanzania, is located approximately 35 km from the coast of the mainland and possesses a population of ~1.3 million. The present study enrolled a total 1,716 children from 10 primary schools (
Fig. 1), and the cohort was followed for 3 years (from 2007 to 2009;
Table 1) to record the parasitic infection status, weight, and hemoglobin concentration of the children.
Stool and urine samples were obtained from the enrolled children and processed in the laboratory within 24 hr. The stool samples were examined in duplicate for the presence of STH ova using the Kato-Katz thick smear technique, which included a sieve and calibrated template of 41.7 mg, and eggs were counted in the entire cellophane film. Meanwhile, the urine samples, which were processed using the urine filtration technique and polycarbonate membrane filters, were examined for the presence of S. haematobium eggs.
Hemoglobin concentrations were measured using a Hemocue (HemoCue AB, Ängelholm, Sweden). Regardless of gender, hemoglobin levels of<11.5 g/dl were interpreted as indicative of anemia, as specified by the World Health Organization for 6- to 12-year-old children.
Anti-parasite treatment
MDA on STH and schistosomiasis was conducted annually from 2007 to 2009 in the schools in Zanzibar (
Table 1). At every visit, all the enrolled children were treated with a single dose of albendazole (400 mg) to treat STH infection. The same children were also treated for schistosomiasis. Children who were diagnosed with schistosomiasis, using urine microscopy or owing to the presence of hematuria, were treated with praziquantel (40 mg/kg). Only 1,141 of the 1,716 enrolled children were examined during the last visit in February 2009.
The chi-square test, Fisher’s exact test, one-way analysis of variance (ANOVA) with Bonferroni correction, and multiple logistic regression were performed using R 3.5.3 (
http://www.R-project.org), and
P-values of<0.05 were considered significant. The heatmap analysis and Principal Component Analysis (PCA) were performed using the Vegan package 2.5–4 in R 3.5.3.
RESULTS
The rate of
S. haematobium infection was not effectively reduced by MDA. Indeed, even though the infection rates of the Chaani and Mzambarauni schools were reduced by 55.1 and 21.1% (
Table 2), respectively, the overall reduction across all 10 schools was only 1.8%, and even that small reduction was not statistically significant (
P=0.1751). Furthermore, the
S. haematobium infection rates of several schools (Machui, Ghana, and Vitongoji) actually exhibited significant increases (
Table 2).
In addition, of the 3 STHs, MDA was only effective against
A. lumbricoides. The rate of
A. lumbricoides infection across all schools was 36.0% at the beginning of the project and was reduced to 22.6% by the last screening (
P<0.0001). Therefore, MDA significantly reduced the rate of
A. lumbricoides infection, especially in the 4 schools in Pemba. MDA also has significant effects (positive and negative) on the
T. trichiura and hookworm infection rates of several individual schools (
Table 2); however, there were no significant effects on the overall
T. trichiura and hookworm infection rates across all 10 schools.
Heatmap analysis clustered schools with similar infections patterns for 4 parasites and visualized this data (
Fig. 2). The Pemba schools were grouped together, based on their similarly high rates of STH infection, which were higher than those observed in the Unguja schools. Meanwhile, among the Unguja schools, the Chaani, Ghana, and Machui schools were grouped together, based on similarly high rates of
S. haematobium infection, whereas the Kitogani and Bwejuu schools were grouped together, based on similarly low rates of
S. haematobium infection. The Kilombero school exhibited higher STH infection rates than the other Unguja schools.
The 4 parasitic infection rates in each elementary school were expressed in a 2-dimensional graph using PCA. The PCA projected high-dimensional data (4 dimensions in this study) in 2 dimensions, resulting in 2 axes (PC1 and PC2) that make the largest distance between each point (this best describes the factors). The schools that had similar parasitic infection patterns were closely located in the graph (
Fig. 3). The PCA results indicated that STH infections were more prevalent from the origin to the right and
S. haematobium infection was more prevalent from the origin upwards. The vectors STH and
S. haematobium infection prevalence were at right angles, which explains the mode of infection of STHs and
S. haematobium are different (or independent). In contrast, the vectors of
A. lumbricoides, hookworm, and
T. trichiura infection prevalence were similar (to the right), which suggested that STH infections are closely interrelated (or dependent).
In general, the Unguja schools were less infected by STHs (left side of PCA plot) than the Pemba schools (right side of PCA plot), and the parasitic infection status of most schools was generally improved or maintained during the survey period. However, infection status worsened in the Machui, Ghana, and Vitongoji schools, and such an increase could mainly be attributed to remarkable increases in the prevalence of
S. haematobium infection (black arrows in
Fig. 3 and
Table 2).
Meanwhile, the Unguja schools were more infected by
S. haematobium than the Pemba schools (
P=0.002), and boys were more infected than girls (
P<0.001), probably because the boys spent more time playing in the water (
Table 3).
In regard to hemoglobin concentrations and urine analysis, chi-square analysis indicated that
S. haematobium infection was associated with hematuria (
P<0.001) but not with anemia (
P=0.620), whereas STH infection was associated with anemia (
Table 3). However, since anemia was more prevalent in the Pemba schools, careful interpretation is needed. Interestingly, the probability of parasitic infection seemed to be influenced by previous parasitic infection (
Table 3).
Multiple logistic regression analysis indicated that children in Unguja possessed ~1.7-fold greater risk of
S. haematobium infection than children in Pemba (
Table 4), and the infection rate of boys was significantly greater than that of girls, with an odds ratio (OR) of 2.449. In addition, children diagnosed with
S. haematobium infection in the previous visit had 5.5-fold greater risk of present
S. haematobium infection.
Meanwhile, children in Pemba were 10 to 40 times more likely to present STH infection than children in Unguja, and even though children diagnosed with A. lumbricoides or hookworm infection were more likely (~2-fold) to exhibit re-infection at future visits, the risk was much lower than that observed for S. haematobium re-infection (OR=5.557). In contrast, T. trichiura infection did not have a significant effect on future infection T. trichiura status (P=0.460). Together, these results demonstrate that S. haematobium is more capable of maintaining or re-establishing infection status than are STHs after MDA.
The annual weight gain of children who presented with
S. haematobium infection at any point during the survey period (3.54 kg/year) was statistically similar to that of children who did not (3.47 kg/year;
Fig. 4). However, the annual weight gain of children who presented with
S. haematobium at every examination (2.28 kg/year) was significantly lower than that of children who had either never presented with
S. haematobium infection (
P=0.00468) and who had only presented with
S. haematobium infection during a portion of visits (
P=0.00548). In contrast, there was no difference in the annual weight gain of children who presented with STH infection at every examination (3.49 kg/year) and that of children who never presented with STH infection (3.14 kg/year,
P=0.2271).
The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated using the values in
Table 5. PPV indicates the rate of cases that were infected with
S. haematobium (egg positive) when hematuria was present; NPV is the rate of cases that were not infected with
S. haematobium when hematuria was absent. Across the 10 schools, the sensitivity, specificity, PPV, and NPV of hematuria for
S. haematobium infection were 78.48, 92.66, 60.67, and 96.76%, respectively; in the Machui school, which had the highest
S. haematobium infection rate, the PPV was 88.51%.
DISCUSSION
In the present study, overall infection status was assessed, and MDA was applied to a cohort of schoolchildren from schools across Zanzibar. Heatmap (
Fig. 2) and multiple regression (
Table 4) analyses indicated that elementary schools in Pemba had a much higher prevalence of STH infections than those in Unguja. The different STH infection patterns of these 2 islands (Pemba and Unguja) indicate that the control of STH infection in Unguja has been consistently more effective than that in Pemba, which is generally less developed.
The present study also revealed that the prevalence of
S. haematobium infection varies markedly by region. In Unguja, the Chaani, Ghana, and Machui schools possessed high rates of
S. haematobium infection, whereas the Kitogani and Bwejuu schools, which were located far from the streams that harbor the intermediate host organism, possessed very low infection rates. These findings agree with those of French at al., who reported that urinary schistosomiasis was not endemic to either the Kitogani or Bwejuu [
14].
Furthermore, the effectiveness of the MDA program in the present study seems controversial. Even though the infection rates of the Chaani and Mzambarauni schools were reduced by 55.1 and 21.1% (
Table 2), respectively, the overall reduction across all 10 schools was only 1.8%, and even that small reduction was not statistically significant (
P=0.1751). Furthermore, the
S. haematobium infection rates of several schools (Machui, Ghana, and Vitongoji) actually exhibited significant increases (
Table 2). In addition, of the 3 STHs, MDA was only effective against
A. lumbricoides. The rate of
A. lumbricoides infection across all schools was 36.0% at the beginning of the project and was reduced to 22.6% by the last screening (
P<0.0001). Therefore, MDA significantly reduced the rate of
A. lumbricoides infection, especially in the 4 schools in Pemba. However, there were no significant effects on the overall
T. trichiura and hookworm infection rates across all 10 schools (
Table 2).
The MDA protocol used in the present study was only effective in reducing
A. lumbricoides infection, a finding that is supported by previous studies [
17]. It is possible that the MDA interval should have been shorter and that the study period should have been longer in order to effectively control STH infections. According to previous studies, MDA programs for reducing STH infection rates should include at least 2 treatments a year for 3 years [
18–
20]. In addition, chemotherapy for general residents who were not included in the parasitic control programs could reduce re-infection and lower overall infection rates for STHs.
In the present study,
S. haematobium was more capable of re-infecting children than STHs (
Table 4). Similarly, high rates of schistosome re-infection have been reported previously [
21] and could possibly be attributed to the ineffectiveness of praziquantel in killing juvenile schistosomes [
22] or the fact that schistosomes are can be rapidly transmitted to snails by urination from only a few infected humans.
According to these results, parasitic control programs that are solely based on chemotherapy are not effective or sustainable for the long-term prevention of re-infections. Instead, there is a need for environmental improvements, such as the development of safe water and sanitation resources and changes in hygiene behavior [
23,
24]. In addition, residents that are not included in parasitic control programs can function as parasite reservoirs, thereby facilitating continuous transmission [
25], and snail control, using molluscicides (e.g., niclosamide), should be employed to interrupt re-infection cycles [
26,
27].
This study revealed that children who were infected with
S. haematobium at every visit demonstrated lower annual weight gain than the other groups, whereas children who were cured from the parasitic infection at least once exhibited normal growth (
Fig. 4). Therefore, despite the fact that school-based MDA for schistosomiasis appears to be somewhat ineffective owing to the high re-infection rate, it may still be particularly beneficial to the growth of children.
The present study found that hematuria, a key symptom of S. haematobium infection, was useful for diagnosing S. haematobium infection. Its sensitivity, specificity, PPV, and NPV for S. haematobium infection were 78.5, 92.7, 60.7, and 96.8%, respectively, across all schools and even higher if calculated using data from schools with high S. haematobium infection rates. Therefore, it is possible that praziquantel could be prescribed on the basis of hematuria alone if it was impossible to perform microscopic egg detection in a highly S. haematobium endemic region, such as Zanzibar.
It is known that hookworm causes anemia, but in this study, hookworm was not significantly associated with anemia (
Table 3). For further analysis, we compared hemoglobin levels according to the amount of EPG in Pemba in 2009; however, there was still no difference between the groups (
Fig. 5A,
P-value for ANOVA=0.892). Additionally, in linear regression analysis, hemoglobin and EPG were not correlated (
Fig. 5B,
P-value for coefficient (b)=0.968). In Zanzibar, anemia due to malnutrition in children is a serious problem, which might hide the effect of the hookworm on anemia.
A recent study reported that the prevalence of urogenital schistosomiasis was reduced from 6.1% to 1.7% in elementary school children and from 3.9% to 1.5% in adults, from 2011 to 2017 in Zanzibar [
28]. Another schistosomiasis survey of 24 schools showed that the infection rates in Unguja and Pemba were 8% and 15%, respectively in 2011 [
29].
STH infection has been recognized as a problem for many decades, especially on the Pemba island. In 1997, a survey revealed the prevalence in school-aged children to be 72% for
A. lumbricoides, 94% for
T. trichiura, and 95% for hookworm in Pemba [
30]. Additionally, Pemba had more STH infection rates than Unguja in our present study as well, which is probably because the Pemba island is less socioeconomically developed than the Unguja island.
The inhabitants of one region of Tanzania along the coast of Lake Victoria, in Mwanza, suffer from
Schistosoma mansoni infections. The prevalence in children was reported to be approximately 40% in 2011 [
31]. In addition, other regions of Tanzania, such as the Rufiji and Mkuranga districts in the Coast Region, were the endemic regions of both
S. mansoni and
S. haematobium [
32]. The prevalence of
S. mansoni was 2.7% and 1.6% and that of
S. haematobium was 10.5% and 7.0% in the Rufiji and Mkuranga districts, respectively.
In conclusion, the 10 primary schools surveyed by the present study exhibited different parasitic infections patterns, and a 3-year MDA program was only partially able to control helminth and schistosome infections, owing to high re-infection rates. In the future, parasite control programs should involve strategically designed MDA schedules and holistic intervention (e.g., sanitation improvement, hygiene behavior changes, and control of intermediated hosts).
Notes
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CONFLICT OF INTEREST
The authors declare no conflict of interest related to this study.
ACKNOWLEDGMENTS
This work was implemented through a Korea-Zanzibar collaborative project on health promotion through parasite control among school children in Zanzibar [2007–2009], which was supported by the Korea Foundation for International Healthcare (KOFIH).
Fig. 1Locations of the 10 primary schools included in the present study.
Fig. 2Heatmap showing the prevalence of soil-transmitted helminth infections and schistosomiasis in children from 10 schools in Zanzibar, Tanzania (2007–2009). Values in the cells represent the 3-year average prevalence of each parasitic infection in each school. The colors on the heatmap are based on z-scores calculated using relative prevalence of parasites infections (Z-score=[actual prevalence − mean prevalence along the 10 schools] /standard deviation).
Fig. 3Principal Component Analysis plot showing helminth infections and schistosomiasis prevalence in children from 10 schools in Zanzibar, Tanzania (2007–2009). Prevalence of Ascaris lumbricoides, Trichuris trichiura, hookworm, and Schistosoma haematobium infection in 10 schools for three years was subjected to principal component analysis and the first 2 principal components, PC1 and PC2, were plotted. PC1 explained the 86.7% of the total variability found, and PC2 explained the 7.5% of the total variability. Black arrows indicate schools with increased parasitic infection status.
Fig. 4Effect of Schistosoma haematobium infection on the weight gain of schoolchildren in Zanzibar, Tanzania. Bonferroni corrected P-values are shown.
Fig. 5(A) Hemoglobin level by hookworm EPG grade. The data of the children on the Pemba island in 2009 were used. There were no significant differences among the groups (P-value for one-way ANOVA=0.892). Bars represent the standard error of the mean. (B) Scatter plot and linear regression analysis for hemoglobin concentration and hookworm EPG. The data of the children on the Pemba island in 2009 were used. P-value for coefficient was 0.968.
Table 1Parasite screening of 1,716 schoolchildren in Zanzibar, Tanzania
Table 1
|
Island |
School |
1st visit (Feb 2007) |
2nd visit (Jul 2007) |
3rd visit (Feb 2008) |
4th visit (Feb 2009) |
|
|
|
|
|
No. screened (male, female) |
No. screened (male, female) |
No. screened (male, female) |
No. screened (male, female) |
|
Unguja |
Chaani |
177 (89, 88) |
|
103 (46, 57) |
109 (34, 75) |
|
Kilombero |
149 (67, 82) |
|
119 (52, 67) |
114 (45, 69) |
|
Ghana |
167 (80, 87) |
|
123 (55, 68) |
111 (47, 64) |
|
Machui |
174 (89, 85) |
|
138 (67, 71) |
107 (45, 62) |
|
Kitogani |
|
122 (67, 55) |
86 (44, 42) |
89 (45, 44) |
|
Bwejuu |
|
172 (74, 98) |
133 (53, 80) |
128 (48, 80) |
|
|
Pemba |
Mzambarauni |
|
202 (95, 107) |
|
135 (53, 82) |
|
Kinowe |
|
187 (73, 114) |
|
116 (37, 79) |
|
Vitongoji |
|
174 (84, 90) |
|
103 (data lost) |
|
Ngwachani |
|
192 (87, 105) |
|
129 (56, 73) |
|
|
Total |
|
667 (325, 342) |
1,049 (480, 569) |
702 (317, 385) |
1,141 |
Table 2Parasitic infection rates of schoolchildren in 2007–2009
Table 2
|
Schistosoma haematobium infection |
|
|
School |
1st visit (Feb 2007) |
2nd visit (Jul 2007) |
3rd visit (Feb 2008) |
4th visit (Feb 2009) |
Difference between 1st and 4th screening (P-value) |
|
|
|
|
|
Screened |
Cases (%) |
Screened |
Cases (%) |
Screened |
Cases (%) |
Screened |
Cases (%) |
|
Chaani |
125 |
78 (62.4) |
|
|
88 |
11 (12.5) |
109 |
8 (7.3) |
−55.1% (< 0.0001) |
|
|
Kilombero |
126 |
11 (8.7) |
|
|
118 |
3 (2.5) |
111 |
5 (4.5) |
−4.2% (0.1957) |
|
|
Ghana |
166 |
23 (13.8) |
|
|
119 |
21 (17.6) |
110 |
36 (32.7) |
18.9% (0.0002) |
|
|
Machui |
168 |
14 (8.3) |
|
|
136 |
56 (41.2) |
107 |
35 (32.7) |
24.4% (< 0.0001) |
|
|
Kitogani |
|
|
122 |
5 (4.1) |
86 |
0 (0.0) |
88 |
2 (2.3) |
−1.8% (0.4671) |
|
|
Bwejuu |
|
|
167 |
3 (1.8) |
133 |
2 (1.5) |
128 |
1 (0.8) |
−1% (0.4549) |
|
|
Mzambarauni |
|
|
171 |
41 (23.4) |
|
|
132 |
3 (2.3) |
−21.1% (< 0.0001) |
|
|
Kinowe |
|
|
186 |
5 (2.7) |
|
|
113 |
4 (3.5) |
0.8% (0.6760) |
|
|
Vitongoji |
|
|
173 |
22 (12.7) |
|
|
103 |
26 (25.2) |
12.5% (0.0079) |
|
|
Ngwachani |
|
|
185 |
19 (10.3) |
|
|
129 |
17 (13.2) |
2.9% (0.4262) |
|
|
Total |
Screened (Feb and Jul 2007): 1,589; Cases: 221 (13.9) |
1,130 |
137 (12.1) |
−1.8% (0.1751) |
|
|
Ascaris lumbricoides infection |
|
|
School |
1st visit (Feb 2007) |
2nd visit (Jul 2007) |
3rd visit (Feb 2008) |
4th visit (Feb 2009) |
Difference between 1st and 4th screening (P-value) |
|
|
|
|
|
Screened |
Cases (%) |
Screened |
Cases (%) |
Screened |
Cases (%) |
Screened |
Cases (%) |
|
|
Chaani |
129 |
3 (2.3) |
|
|
61 |
10 (16.4) |
43 |
3 (7.0) |
4.7% (0.1500) |
|
|
Kilombero |
102 |
31 (30.4) |
|
|
62 |
9 (14.5) |
114 |
7 (6.1) |
−24.3% (< 0.0001) |
|
|
Ghana |
119 |
6 (5.0) |
|
|
88 |
8 (9.1) |
60 |
2 (3.3) |
−1.7% (0.6015) |
|
|
Machui |
160 |
5 (3.1) |
|
|
98 |
8 (8.2) |
45 |
1 (2.2) |
−0.9% (0.7509) |
|
|
Kitogani |
|
|
106 |
2 (1.9) |
77 |
4 (5.2) |
70 |
5 (7.1) |
5.2% (0.0808) |
|
|
Bwejuu |
|
|
75 |
0 (0.0) |
101 |
0 (0.0) |
65 |
1 (1.5) |
1.5% (0.4643) |
|
|
Mzambarauni |
|
|
144 |
79 (54.9) |
|
|
85 |
22 (25.9) |
−29.0% (< 0.0001) |
|
|
Kinowe |
|
|
158 |
116 (73.4) |
|
|
101 |
46 (45.5) |
−27.9% (< 0.0001) |
|
|
Vitongoji |
|
|
119 |
63 (52.9) |
|
|
80 |
31 (38.8) |
−14.1% (0.0493) |
|
|
Ngwachani |
|
|
167 |
156 (93.4) |
|
|
104 |
55 (52.9) |
−40.5% (< 0.0001) |
|
|
Total |
Screened (Feb and Jul 2007): 1,279; Cases: 461 (36.0) |
767 |
173 (22.6) |
−13.4% (< 0.0001) |
|
|
Trichuris trichiura infection |
|
|
School |
1st visit (Feb 2007) |
2nd visit (Jul 2007) |
3rd visit (Feb 2008) |
4th visit (Feb 2009) |
Difference between 1st and 4th screening (P-value) |
|
|
|
|
|
Screened |
Cases (%) |
Screened |
Cases (%) |
Screened |
Cases (%) |
Screened |
Cases (%) |
|
|
Chaani |
129 |
5 (3.9) |
|
|
61 |
9 (14.8) |
43 |
6 (14.0) |
10.1% (0.0193) |
|
|
Kilombero |
105 |
31 (29.5) |
|
|
62 |
15 (24.2) |
114 |
8 (7.0) |
−22.5% (< 0.0001) |
|
|
Ghana |
121 |
26 (21.5) |
|
|
88 |
9 (10.2) |
60 |
8 (13.3) |
−8.2% (0.1861) |
|
|
Machui |
160 |
12 (7.5) |
|
|
99 |
12 (12.1) |
45 |
6 (13.3) |
5.8% (0.2219) |
|
|
Kitogani |
|
|
105 |
24 (22.9) |
77 |
6 (7.8) |
70 |
5 (7.1) |
−15.8% (0.0062) |
|
|
Bwejuu |
|
|
75 |
0 (0.0) |
100 |
12 (12.0) |
65 |
6 (9.2) |
9.2% (0.0088) |
|
|
Mzambarauni |
|
|
144 |
102 (70.8) |
|
|
84 |
73 (86.9) |
16.1% (0.0056) |
|
|
Kinowe |
|
|
158 |
127 (80.4) |
|
|
101 |
86 (85.1) |
4.7% (0.3274) |
|
|
Vitongoji |
|
|
119 |
95 (79.8) |
|
|
80 |
74 (92.5) |
12.7% (0.0143) |
|
|
Ngwachani |
|
|
167 |
152 (91.0) |
|
|
104 |
85 (81.7) |
−9.3% (0.0248) |
|
|
Total |
Screened (Feb and Jul 2007): 1,283; Cases: 574 (44.7) |
766 |
357 (46.6) |
+1.9% (0.4116) |
|
|
Hookworm infection |
|
|
School |
1st visit (Feb 2007) |
2nd visit (Jul 2007) |
3rd visit (Feb 2008) |
4th visit (Feb 2009) |
Difference between 1st and 4th screening (P-value) |
|
|
|
|
|
Screened |
Cases (%) |
Screened |
Cases (%) |
Screened |
Cases (%) |
Screened |
Cases (%) |
|
|
Chaani |
129 |
2 (1.6) |
|
|
61 |
0 (0.0) |
43 |
0 (0.0) |
−1.6% (1) |
|
|
Kilombero |
106 |
15 (14.2) |
|
|
62 |
7 (11.3) |
114 |
5 (4.4) |
−9.8% (0.0118) |
|
|
Ghana |
121 |
15 (12.4) |
|
|
88 |
2 (2.3) |
60 |
2 (3.3) |
−9.1% (0.0491) |
|
|
Machui |
160 |
9 (5.6) |
|
|
99 |
8 (8.1) |
45 |
1 (2.2) |
−3.4% (0.3492) |
|
|
Kitogani |
|
|
106 |
1 (0.9) |
77 |
1 (1.3) |
70 |
3 (4.3) |
3.4% (0.1453) |
|
|
Bwejuu |
|
|
75 |
4 (5.3) |
|
2 (2.0) |
65 |
0 (0.0) |
−5.3% (0.1235) |
|
|
Mzambarauni |
|
|
144 |
78 (54.2) |
|
|
84 |
52 (61.9) |
7.7% (0.2549) |
|
|
Kinowe |
|
|
158 |
108 (68.4) |
|
|
100 |
65 (65.0) |
−3.4% (0.5765) |
|
|
Vitongoji |
|
|
119 |
54 (45.4) |
|
|
80 |
55 (68.8) |
23.4% (0.0012) |
|
|
Ngwachani |
|
|
167 |
106 (63.5) |
|
|
104 |
43 (41.3) |
−22.2% (0.0004) |
|
|
Total |
Screened (Feb and Jul 2007): 1,285; Cases: 392 (30.5) |
765 |
226 (29.5) |
−1% (0.6457) |
Table 3Association analysis of variables related to parasitic infection
Table 3
|
Schistosoma haematobium cases/screened (%) |
Ascaris lumbricoides cases/screened (%) |
Trichuris trichiura cases/screened (%) |
Hookworm cases/screened (%) |
Anemia cases/screened (%) |
|
Island |
P=0.002*
|
P<0.001 |
P<0.001 |
P<0.001 |
P<0.001 |
|
Unguja |
87/653 (13.3) |
19/397 (4.8) |
39/397 (9.8) |
11/397 (2.8) |
162/479 (33.8) |
|
Pemba |
27/379 (7.1) |
124/292 (42.5) |
246/291 (84.5) |
161/290 (55.5) |
106/223 (47.5) |
|
Total |
114/1,032 (11.0) |
143/689 (20.8) |
285/688 (41.4) |
172/687 (25.0) |
268/702 (38.2) |
|
|
Sex |
P<0.001 |
P=0.916 |
P=0.419 |
P=0.777 |
P=0.010 |
|
Male |
69/412 (16.7) |
54/259 (20.8) |
102/259 (39.4) |
63/259 (24.3) |
124/282 (44.0) |
|
Female |
44/619 (7.1) |
88/429 (20.5) |
182/428 (42.5) |
108/427 (25.3) |
144/420 (34.3) |
|
Total |
113/1,031 (11.0) |
142/688 (20.6) |
284/687 (41.3) |
171/686 (24.9) |
268/702 (38.2) |
|
|
Anemia |
P=0.620 |
P=0.017 |
P=0.051 |
P=0.077 |
- |
|
Yes |
30/263 (11.4) |
45/195 (23.1) |
80/195 (41.0) |
52/194 (26.8) |
- |
|
No |
44/431 (10.2) |
45/306 (14.7) |
99/305 (32.5) |
61/305 (20.0) |
- |
|
Total |
74/694 (10.7) |
90/501 (18.0) |
179/500 (35.8) |
113/499 (22.6) |
- |
|
|
Hematuria |
P<0.001 |
P=0.404 |
P=0.110 |
P=0.330 |
P=0.040 |
|
Yes |
90/149 (60.4) |
22/80 (27.5) |
45/80 (56.3) |
27/80 (33.8) |
46/93 (49.5) |
|
No |
18/762 (2.4) |
113/487 (23.2) |
227/487 (46.6) |
138/486 (28.4) |
200/524 (38.2) |
|
Total |
108/911 (11.9) |
135/567 (23.8) |
272/567 (48.0) |
165/566 (29.2) |
246/617 (39.9) |
|
|
Previous S. haematobium infection |
P<0.001 |
P=0.117 |
P=0.210 |
P=0.356 |
- |
|
Yes |
53/159 (33.3) |
12/88 (13.6) |
30/88 (34.1) |
18/88 (20.5) |
- |
|
No |
61/838 (7.3) |
121/582 (20.8) |
239/581 (41.1) |
145/580 (25.0) |
- |
|
Total |
114/996 (11.4) |
133/670 (19.9) |
269/669 (40.2) |
163/668 (24.4) |
- |
|
|
Previous A. lumbricoides infection |
P=0.231 |
P<0.001 |
P<0.001 |
P<0.001 |
- |
|
Yes |
30/293 (10.2) |
92/238 (38.7) |
172/238 (72.3) |
103/237 (43.5) |
- |
|
No |
74/567 (13.1) |
26/355 (7.3) |
71/354 (20.1) |
41/354 (11.6) |
- |
|
Total |
104/860 (12.1) |
118/593 (19.9) |
243/592 (41.0) |
144/591 (24.4) |
- |
|
|
Previous T. trichiura infection |
P=0.498 |
P<0.001 |
P<0.001 |
P<0.001 |
- |
|
Yes |
41/366 (11.2) |
95/277 (34.3) |
181/277 (65.3) |
110/276 (39.9) |
- |
|
No |
63/495 (12.7) |
23/314 (7.3) |
62/313 (19.8) |
34/313 (10.9) |
- |
|
Total |
104/861 (12.1) |
118/591 (20.0) |
243/590 (41.2) |
144/589 (24.4) |
- |
|
|
Previous hookworm infection |
P=0.170 |
P<0.001 |
P<0.001 |
P<0.001 |
- |
|
Yes |
23/240 (9.5) |
71/191 (37.2) |
143/191 (74.9) |
98/190 (51.6) |
- |
|
No |
81/624 (13.0) |
49/403 (12.2) |
102/402 (25.4) |
47/402 (11.7) |
- |
|
Total |
104/864 (12.0) |
120/594 (20.2) |
245/593 (41.3) |
145/592 (24.5) |
- |
Table 4Multiple logistic regression for risk factor assessment for parasitic infections in the children in Zanzibar in 2009. The information on the previous parasitic infections was derived from the egg examination in 2007 or 2008
Table 4
|
Schistosoma haematobium odds ratio (95% CI) |
Ascaris lumbricoides odds ratio (95% CI) |
Trichuris trichiura odds ratio (95% CI) |
Hookworm odds ratio (95% CI) |
|
Island |
|
Unguja |
1.705 (1.053–2.763) |
0.100 (0.051–0.198) |
0.025 (0.014–0.045) |
0.029 (0.014–0.062) |
|
Pemba |
Reference |
Reference |
Reference |
Reference |
|
P-value |
*P=0.030 |
*P<0.001 |
*P<0.001 |
*P<0.001 |
|
|
Sex |
|
Male |
2.449 (1.608–3.731) |
1.314 (0.820–2.105) |
1.064 (0.645–1.757) |
1.179 (0.721–1.925) |
|
Female |
Reference |
Reference |
Reference |
Reference |
|
P-value |
* P<0.001 |
P=0.256 |
P=0.808 |
P=0.512 |
|
|
Previous S. haematobium infection |
|
Yes |
5.557 (3.608–8.558) |
- |
- |
- |
|
No |
Reference |
|
|
|
|
P-value |
*P<0.001 |
- |
- |
- |
|
|
Previous A. lumbricoides infection |
|
Yes |
- |
2.093 (1.157–3.787) |
- |
- |
|
No |
|
Reference |
|
|
|
P-value |
- |
*P=0.015 |
- |
- |
|
|
Previous T. trichiura infection |
|
Yes |
- |
- |
1.248 (0.694–2.244) |
- |
|
No |
|
|
Reference |
|
|
P-value |
- |
- |
P=0.460 |
- |
|
|
Previous Hookworm infection |
|
Yes |
- |
- |
- |
1.819 (1.091–3.030) |
|
No |
|
|
|
Reference |
|
P-value |
- |
- |
- |
*P=0.022 |
Table 5Evaluation of hematuria as a predictor of Schistosoma haematobium infection
Table 5
|
|
Hematuria Positive |
Hematuria Negative |
Combo values |
|
All schools in Zanzibar for 3 years |
Egg Positive |
310 |
85 |
Sensitivity |
78.48% |
|
Specificity |
92.66% |
|
|
Egg Negative |
201 |
2,539 |
PPV |
60.67% |
|
NPV |
96.76% |
|
|
Machui school for 3 years |
Egg Positive |
77 |
27 |
Sensitivity |
74.04% |
|
Specificity |
96.71% |
|
|
Egg Negative |
10 |
294 |
PPV |
88.51% |
|
NPV |
91.59% |
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