Download PDF

Research

Evaluating the Impact of Biannual School-Based and Community-Wide Treatment on Urogenital Schistosomiasis in Niger

https://doi.org/10.21203/rs.3.rs-39224/v1

This work is licensed under a CC BY 4.0 License

Journal Publication

published 18 Nov, 2020

Read the published version in Parasites & Vectors  →

You are reading this latest preprint version

Background The Schistosomiasis Consortium for Operational Research and Evaluation (SCORE) coordinated a five-year study implemented in several countries, including Niger, to provide an evidence-base for programmatic decisions regarding cost-effective approaches to preventive chemotherapy for schistosomiasis control.

Methods This was a cluster-randomised trial investigating six possible combinations of annual or biannual community-wide treatment (CWT), school-based treatment (SBT), and holidays from mass treatment over four years. The most intense arm involved two years of annual CWT followed by two years of biannual CWT, while the least intensive arm involved one year of annual SBT followed by a year without treatment and two more years of annual SBT. The primary outcome of interest was prevalence and intensity of S. haematobium among 100 children aged 9-to-12-years sampled each year. In addition, 100 children aged 5-to-8 years in their first year of school and 50 adults (aged 20-to-55 years) were tested in the first and final fifth year of the study.

Results In total, data was collected from 167,500 individuals across 225 villages in nine districts within the Niger River valley, Western Niger. Overall, prevalence of S. haematobium decreased from baseline to Year 5 across all study arms. The relative reduction of prevalence was greater in biannual compared with annual treatment across all arms, however, the only significant difference was seen in areas with a high starting prevalence. Although adults were not targeted for treatment in SBT arms, a statistically significant decrease in prevalence among adults was seen in moderate prevalence areas receiving biannual (10.7% to 4.8%) SBT (p<0.001). Adults tested in the annual SBT group also showed a decrease in prevalence between Year 1 and Year 5 (12.2% to 11.0%), but this difference was not significant.

Conclusions These findings are an important consideration for schistosomiasis control programs that are considering elimination and support the idea that scaling up the frequency of treatment rounds, particularly in areas of low prevalence, will not eliminate schistosomiasis. Interestingly, the finding that prevalence decreased among adults in SBT arms suggests that transmission in the community can be reduced, even where only school children are being treated, which could have logistical and cost-saving implications for the national control programmes.

Schistosomiasis

Urogenital Schistosomiasis

Community-wide treatment

School-based treatment

Biannual treatment

Elimination

Preventive chemotherapy

mass drug administration

Niger

Schistosoma haematobium

praziquantel

Human schistosomiasis is an acute and chronic, water-associated parasitic disease that remains a major public health problem in sub-Saharan Africa. It represents the second most endemic parasite after malaria in these regions [1]. According to the World Health Organisation (WHO), an estimated 218 million people need preventive chemotherapy (PC) worldwide, of which 92% live in Africa [2].

It is estimated that 3.2 million people are infected with schistosomiasis in Niger [3]. Both Schistosoma haematobium and Schistosoma mansoni are endemic, but the main species is S. haematobium, which is distributed in all regions of the country [4]. Previously S. mansoni had a relatively marginal role, however, more recently an increase in infection has been seen in the western part of the Niger River Valley. A national program for the control of schistosomiasis and geohelminthiasis was implemented by the Niger Ministry of Health in 2004 [5]. The control strategies used were school-based treatment (SBT) with praziquantel (PZQ) to reduce morbidity caused by schistosomiasis, and selective chemotherapy in adults at high risk of infection, following the WHO guidelines [67].

Previously, a combined school- and community-based strategy has been shown to be effective in attaining a high coverage among school-age children (SAC) in countries where school enrolment is low and where primary schools cannot serve as the exclusive drug distribution points [811]. Furthermore, there is a growing body of evidence regarding the burden of infection in adults and their potential role in sustaining transmission, which suggests a need for them to be included in treatment programmes [1116].

Whether community-wide treatment (CWT) is appropriate depends on the local epidemiological setting and whether the goal is morbidity control or eliminating transmission [17]. Some studies, for example, have found that SBT and community-wide treatment (CWT) yielded a similar prevalence decrease [1819]. There is also debate around the optimal frequency of PZQ treatment for infection and morbidity control; some studies have found that the more frequent the PC, the greater impact on parasite control [20], while others have shown that a single dose of PZQ results in sustained low transmission of S. haematobium for two years [21]. In light of the controversy around the optimal approach to drug-based control of schistosomiasis, the Schistosomiasis Consortium for Operational Research and Evaluation (SCORE) was established in 2008 to address this and other questions of practical significance. An important part of SCORE’s portfolio was multi-country field studies, which included Niger, that have evaluated the impact of alternative approaches to PC through CWT, SBT, and years without mass drug administration (MDA) [22].

The SCORE protocol and baseline characteristics of study populations have been described elsewhere [2224]. In brief, SCORE projects include “Gaining control of schistosomiasis” studies, evaluating PC in communities with high prevalence of schistosomiasis, and “Sustaining control of schistosomiasis” studies, examining PC in areas of moderate schistosomiasis prevalence [22].

In 2011, SCORE began supporting Niger to conduct both “Gaining” and “Sustaining” S. haematobium control studies in two separate parts of the Niger River Valley. A simple random allocation approach was supposed to have been used to assign all eligible villages to study arms. Instead, during the selection of the field sites, Niger geographically clustered groups of villages into study arms. Following Year 2 of the study, when this was recognised, the Niger study was redesigned to compare annual versus biannual SBT or CWT. An additional deviation from the SCORE protocol included replacing the treatment ‘holiday’ years with a test-and-refer strategy, whereby mass drug administration was not given on these years, but individuals were tested and those found to be positive were referred to health centres for treatment.

The primary research question presented here is which PC strategy provided the greatest reduction in prevalence and intensity of S. haematobium infection among 9-to-12-year olds after four years of intervention. In addition, the impact of treatment on first-year students and adults was also assessed.

Study design

SCORE implemented a parallel cluster-randomised intervention trial that includes six study arms for the “Gaining” control study and three arms for the “Sustaining” control study [18]. The primary outcome of interest was the prevalence and intensity among 9-12-year-old children following four years of MDA using different approaches. In Niger, the Gaining study was to be implemented in an area that historically had high levels of infection, and the Sustaining study in a nearby area expected to have lower transmission.

The original design relied on randomisation so that starting prevalence would be roughly equivalent in different study arms. However, because of the way in which Niger clustered villages, the starting prevalence were markedly different in different arms, so valid comparisons between arms and comparison with other SCORE studies could not be made. Therefore, in 2013 (before Year 3 of the study) the Niger study was re-designed to evaluate the impact of either SBT or CWT twice a year (biannual) versus annual treatment with PZQ. Thus, the communities received a variable sequence of SBT, CWT or test/refer for treatment strategies for the first two years, and then once or twice-yearly treatment for the final two treatment years, with the final round of data collection done 12 months after the final (Year 4) treatment round. The reformatted study design, upon which the following analyses are based, is summarised in Fig. 1.

The 75 communities found eligible with 10%-24% prevalence initially received either SBT in Years 1 and 2, or SBT in Year 1 and were tested and referred for treatment in Year 2. Before Year 3 these were combined and re-randomised into Arm A1, which received SBT once a year in Years 3 and 4, or Arm A2, which received SBT twice a year in Years 3 and 4. Of the communities found eligible with ≥ 25%, 75 received either SBT in Years 1 and 2, or SBT in Year 1 and were tested and referred for treatment in Year 2. Before Year 3 these were combined and re-randomized into Arm B1, which received SBT once a year in Years 3 and 4, or Arm B2, which received SBT twice a year in Years 3 and 4. The other 75 communities found eligible with ≥ 25% received CWT in Years 1 and 2 and before Year 3 were re-randomized into Arm C1, which received CWT once in Years 3 and 4 and Arm C2 which received CWT twice a year in Years 3 and 4 (Fig. 1).

The number of villages per arm and number of 9-12-year-old students tested per village in the original study design were based on sample size calculations [18]. Based on these calculations, a village’s prevalence and intensity of S. haematobium infections were monitored each year among a random sample of 100 school children aged 9-to-12 years. A total of 225 villages were enrolled, with 22,500 children aged 9-to-12 years tested each year. In addition, systematic random sampling was used in each village to select a further 100 first-year students (aged 5-to-8 years) in all 225 villages at the first and fifth years only. A convenience sample of 50 adults (aged 22-to-50 years) were sampled in the first and last year of the Gaining study.

Communities were only eligible to participate in the study if they had a primary school with at least 100 school children aged 9-to-12 years and if they met the prevalence criteria for either Gaining or Sustaining control studies. Prevalence was assessed by testing fifty children aged 13–14 years in each potential study community using reagent Hemastix® testing for microhaematuria on a single midday urine sample [21]. Trace results were considered positive per manufacturer instructions. Communities in the area selected for the “Gaining” studies were eligible if they had high prevalence (≥ 25%), and for “Sustaining” studies if they had moderate prevalence (10–24%) among 13-14-year olds in the eligibility assessment. (The 13-14-year-old age group was used to assess eligibility because of the need to treat children testing positive, which would have affected baseline study results.)

The 150 communities found eligible for “Gaining” were initially assigned to one of six arms of the original study design and the 75 villages eligible for “Sustaining” were allocated to one of three study arms in the original study design. When the study was re-designed, each arm’s villages were randomly assigned to once- vs. twice-a-year treatment using a computer-based randomisation. Thus, communities received a variable sequence of CWT, SBT, or test/refer for treatment strategies for the first two years, and then once or twice-yearly treatment for the final two years, with the final round of data collection carried out 12 months after the final (Year 4) treatment round in Year 4.

Study area and population

The study was conducted in the region of Tillabery (Kollo, Say, Tera, Filingué and Tillabery districts), Dosso (Loga district) and Niamey (districts 1–3) in Western Niger along the Niger River Valley (Fig. 2). The climate is characterised by a short rainy season from June to September and a long dry season from October to May. Eight districts are only endemic to S. haematobium, but the district of Tillabery is endemic to S. haematobium and to a lesser extent S. mansoni. The main sites for transmission are irrigation canals, rice paddies and temporary water bodies that fill up during the rainy season. The main occupations of the population are agriculture and livestock. Millet is grown during the rainy season, while rice is grown in the Niger River valley twice a year. PC has been implemented in the study area since 2004 by the national schistosomiasis control program. Mass treatment with praziquantel has been provided more than eight times with acceptable coverage rates [5, 22]. Although schooling is compulsory in principle for ages 7-to-15 for a period of eight years, there is only about a 25 percent school attendance by primary school-age children, and even fewer 12-to-17-year-olds continue to secondary school [23]. Sanitation in the study area is also low; over 20 percent of deaths in Niger can be attributed to poor sanitation and hygiene [24]. While Niger has one of the lowest sanitation coverage rates in the world, access to improved sanitation has increased over the last ten years. However, Niger has one of the highest population growth rates in the world, which has likely blunted the impact of some of the progress being made [2526].

Study participants

The 9-12-year-old children were selected based on a list of students provided by the teacher with the name, sex and age of each child in the class, with younger children being selected first and recruitment continuing until the target number was achieved. In schools where less than 100 children were available, community leaders encouraged parents of non-school attending children to volunteer and enrol in the survey. All children were given a container in which to provide a single urine sample collected between 10am and 2 pm. A similar approach was used to select first-year students who were 5–8 years old for testing in Years 1 and 5. Convenience samples of adults were recruited to participate in the study by presenting at the school on the day of data collection on a voluntary basis as a convenience sample.

Urine examination

A single urine was collected from each individual in the study for assessment of parasitological outcomes, two filtrations were carried out on two 10 mL aliquots of each urine sample using a Nytrel® mesh according to the method of Plouvier et al (1975) [27]. One filtration was examined immediately in the school, and the second filtration by another technician in the national schistosomiasis laboratory. Both filters were coloured with Lugol and S. haematobium eggs were counted under a light microscope. Intensity of infection was defined as negative (no eggs found), light (1–49 eggs/10 mL), and heavy (≥ 50eggs/10 mL) infection [7]. Number of eggs counted was capped at 1,000 eggs/10 mL. Where urine volume was less than 10 mL, the volume of urine was measured, and the number of eggs recalculated per 10 mL. The mean number of eggs of child was calculated as the arithmetic mean of the two filtrations taken from a single urine sample, including both egg positive and negative. A person was deemed egg positive if one or more eggs were found in any of the slides examined.

Treatment

Prior to treatment, community sensitisation was carried out using “public criers” and local radios to inform and mobilise the population to participate. In SBT villages, children were treated with a single dose of PZQ regardless of parasitological results [28], unless they met WHO treatment exclusion criteria [7]. In villages receiving CWT, the entire eligible population were treated, with only children under 5 years of age or under 94 cm in height excluded [7]. In test/refer for treatment villages, children who tested positive were referred to health centres for treatment. The dose of PZQ for children was determined using a WHO dose pole [28?].

In CWT, drugs were distributed door by door by trained community drug distributors (CDDs). All CDDs were selected by the community and trained by the local health facility nurse prior to each treatment campaign. In SBT, PZQ was administered by trained teachers to all primary school-aged children, both enrolled and non-enrolled, regardless of infection status. Training and supervision for both CWT and SBT were provided each year prior to the MDA by local health workers. Coverage was estimated using the national population census estimates as a denominator. Where coverage was less than 75%, additional “mop-up” efforts were made to increase the coverage. Treatment numbers were recorded on registers and collected at the end of the MDA by the health workers and transmitted to the national control program. Any secondary adverse effects were reported.

Data management and analysis

All demographic and laboratory data were entered on paper forms and double-entered into Microsoft Excel. Data cleaning and management was carried out by RISEAL Niger. Data analysis was performed using R version 3.2 (R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria). The parasitological results were averaged across each village to produce a village level prevalence and village level prevalence of heavy infected, respectively. 95% confidence intervals were calculated for village- and study arm-level prevalence values. Prevalence of infection and heavy infection were calculated as arithmetic means of the infection categories, aggregated by the relevant factors (e.g. age, sex). The arithmetic mean of infection intensity was calculated using both egg positive and negative, aggregated by grouping factors (village, study arm, and gender). Although, mean intensity might have been underestimated as egg counts were capped at 1000 eggs/10 ml, this was done consistently over the years. Therefore, the trend in intensity change is believed to be valid. The egg reduction rate was calculated as the reduction in the intensity of infection assessed indirectly, using egg count via the following formula: % egg reduction = 100 * (1−(arithmetic mean of eggs/10 mL urine after treatment in Year 5 / arithmetic mean of eggs/10 mL urine at baseline)).

Village-level prevalence was calculated as the percent of children having at least one egg detected by urine filtration. Once and twice-yearly treatment were compared using a generalised linear mixed model (GLMM). The models were run on three subsets of the data, the 9-to-12-year-old cross-section, 20-to-55-year olds (adult) and 5-to-8-year olds. The lme4 package was used in R and the function glmer to model the difference in the chance of being infected at the end of the study between treatment groups. The parameter being modelled was a binary factor to indicate infection status (0 = not infected, 1 = infected). Treatment group, sex and age were included as fixed effects and village was included as a random effect. To avoid issues of multiple testing we focused on group comparisons. In Years 3 and 4: Group A in low prevalence areas received SBT once a year (A1), and twice a year (A2); Group B in high prevalence areas receiving SBT once a year (B1), and twice a year (B2); and Group C in high prevalence areas receiving CWT once a year (C1), and twice a year (C2). For Group C, the prevalence at the start of the study was significantly different between villages in C1 and those in C2. Therefore, baseline data were included in the analysis and the model was adjusted to include study year and an interaction term between study year and treatment group as fixed effects.

Ethics Statement

The study protocol has been approved by the National Ethics Committee in Niger (ref 012/2010/CCNE), Imperial College Research Ethics Committee (ref ICREC_8_2_2) and UGA IRB (ref 10431-0). Informed consent was obtained from parents or legal guardians of all pupils involved in the study and verbal consent was also obtained from all adults included. The purpose of the study was explained to education and health authorities. All results in the datasets were anonymous and coded to prevent association with the individual participant.

Eligibility survey

The eligibility survey was conducted between October 2010 and January 2011. In total 19,990 children aged 13-to-14-years were randomly selected from 348 villages (where 50 children were randomly selected and tested in each school) and screened for haematuria using urine dipsticks. Overall, 150 villages were screened in moderate endemicity areas for the “Sustaining” control study, of which 75 met the criteria (haematuria prevalence of 10–24%). A total of 248 villages were screened for the high prevalence “Gaining” control study, of which 150 met the criteria (haematuria prevalence ≥ 25%).

Treatment coverage

Drug coverage was defined as the proportion of individuals who were directly observed to have ingested the PZQ [7]. CWT coverage was determined by the total population treated using estimated projections of the denominator of the whole population based on a population census carried out in 2011, which is also used by the National Schistosomiasis and STH control program to calculate treatment coverage. The SBT coverage was determined by the percentage of all school-aged children (5-to-12-years) that were treated as a proportion of school-aged children estimated in the population census, and therefore included children not enrolled in school. Treatment coverage is summarised in Table 1.

Table 1

Treatment coverage by Group over time

Year (Y)

Study Group

SAC treated

SAC

total

Mean % SAC treated

Total

population treated

Total

population

eligible for treatment

% total population treated

Y1

A1

16,563

20,267

82%

     

A2

18,986

18,809

101%

     

B1

20,382

24,670

83%

     

B2

25,281

30,373

83%

     

C1

22,479

17,598

128%

43,600

58,648

74%

C2

26,373

25,133

105%

57,058

83,772

68%

Y2

A1

15,053

13,425

112%

     

A2

13,553

14,309

95%

     

B1

19,322

17,378

111%

     

B2

16,345

17,227

95%

     

C1

23,512

18,123

130%

47,031

60,410

78%

C2

33,735

25,883

130%

66,671

86,287

77%

Y3

Treatment 1

A1

23,281

23,021

101%

     

A2

25,174

23,586

107%

     

B1

28,406

22,999

124%

     

B2

33,231

27,781

120%

     

C1

26,306

19,663

134%

51,598

52,434

98%

C2

39,311

24,415

161%

74,558

65,106

115%

Y3

Treatment 2

A1

0

23,021

       

A2

28,203

23,586

120%

     

B1

0

22,999

       

B2

25,274

27,781

91%

     

C1

0

19,663

   

52,434

 

C2

33,003

24,415

135%

61,182

65,106

94%

Y4

Treatment 1

A1

20,708

25,368

82%

     

A2

18,178

21,528

85%

     

B1

27,316

29,813

92%

     

B2

29,202

33,822

86%

     

C1

22,664

19,042

120%

42,464

50,761

84%

C2

33,861

25,866

131%

55,831

68,967

81%

Y4

Treatment 2

A1

0

25,368

       

A2

16,309

21,528

76%

     

B1

0

29,813

       

B2

26,247

33,822

78%

     

C1

0

19,042

   

50,761

 

C2

29,290

25,866

113%

54,539

68,967

79%

1 Arithmetic mean weighted by village SAC population

The nominal treatment coverage stipulated by the study protocol was coverage of more than 75% for both SBT and CWT [7]. Overall, there was extremely high coverage across all arms, this was expected the communities enrolled in this community are rural and isolated. However, in some Groups there is reported coverage above 100%. This could be explained by an inaccurate denominator, migration into the community for treatment, and treatment of adults receiving treatment during the SBT. When coverage was put into the multivariate model looking at impact on changes of prevalence over time, there was no clear trend or significant relationship with impact on infection.

Summary sample characteristics by study year for all individuals examined

Data were collected in the dry season between October and February each year from 2011 until 2015 across nine districts in the Niger River Valley. The aim was to sample 167,500 individuals from a total of 225 villages over the five years. In total 166,811 individuals were tested.

Table 2 shows the sample characteristics by study year, by age group. Overall, nearly half of individuals sampled were female consistently across all study years and age groups.

Table 2

Summary of sample characteristics by study year for all individuals examined (5-to-8-years, 9-to-12-years, and adults)

Cross-section

Variable

Baseline (2011)

Year 2 (2012)

Year 3

(2013)

Year 4 (2014)

Year 5 (2015)

5-to-8 years

No. of individuals sampled

20,220

     

22,364

Proportion female (%)

9,328 (46.1)

     

10,227 (45.8)

No. infected with S. haematobium (%)

3,474 (17.2)

     

2,134 (9.54)

No. with heavy intensity of infection (%)

391 (1.93)

     

239 (1.07)

Arithmetic mean*

1.08

     

0.62

9-to-12 years

No. of individuals sampled

20,931

21,833

21,620

21,715

22,132

Proportion female (%)

9,438 (45.1)

9,697 (44.4)

9,771 (45.2)

9,943 (45.8)

10,281 46.5)

No. infected with S. haematobium (%)

3,314 (15.8)

2,089 (9.57)

3,809 (17.6)

1,794 (8.26)

2,190 (9.89)

No. with heavy intensity of infection (%)

276 (1.32)

99 (0.45)

292 (1.35)

146 (0.67)

146 (0.66)

Arithmetic mean egg count*

3.05

1.27

3.27

1.42

1.45

Adults

(20-to-55 years)

No. of individuals sampled

7,041

     

9,955

Proportion female (%)

3,966 (56.3)

     

4,789 (48.1)

No. infected with S. haematobium (%)

793 (11.3)

     

493 (4.95)

No. with heavy intensity of infection (%)

35 (0.50)

     

28 (0.28)

Arithmetic mean*

4.61

     

2.05

* This is the mean egg count among all tested subjects (including those with zero egg counts), which is a measure of community level contamination potential

9- to- 12- year olds cross-section

Over five years, 108,231 independent observations were taken from children aged 9-to-12-yearsand the prevalence and intensity of the infections of this group were designated as the primary outcomes of the study. Table 3 shows the change in S. haematobium infection between Baseline and Year 5 in low prevalence areas treated once and twice a year with SBT only (Group A), SBT in high prevalence areas (Group B), and CWT in high prevalence areas (Group C). As expected, the relative reduction of prevalence is greater in biannual treatment compared with annual MDA across all study arms. The biggest difference is seen in arms starting in high prevalence areas, C2 and B2 receiving biannual treatment where absolute difference in prevalence between Year 5 and baseline was 12.9% and 9.1%, respectively. The egg reduction rate follows the same pattern as the prevalence rate, again with a decrease in intensity of infection across all study arms. Group B shows the largest difference in the egg reduction rate between the treatment strategies (72.0% at baseline to 12.0% in Year 5).

Table 3

Summary of S. haematobium infection by study arm from baseline to Year 5 (9-to-12-year cross-section only)

Variable

Group§

Total

A1

A2

B1

B2

C1

C2

No. of villages sampled

38

37

37

38

37

38

225

No. tested at baseline

3461

3221

3659

3671

3357

3562

20,931

No. infected at baseline

129

148

898

825

480

834

3314

Prevalence at baseline (%)

3.7

4.6

24.5

22.5

14.3

23.4

15.8

Prevalence of heavy infection at baseline (%)

0.29

0.28

1.86

1.93

0.86

2.50

1.29

No. tested at Year 5

3710

3648

3621

3740

3689

3724

22,132

No. infected at Year 5

22

9

839

503

425

392

2190

Prevalence at Year 5 (%)

0.6

0.2

23.2

13.4

11.5

10.5

9.90

Prevalence of heavy infection at Year 5 (%)

0.13

0.03

1.77

0.64

0.57

0.83

0.66

Absolute difference in prevalence at Year 5 and baseline

-3.1

-4.4

-1.3

-9.1

-2.8

-12.9

-5.90

Relative difference in prevalence at Year 5 and baseline (% change)

-83.8

-95.7

-5.3

-40.4

-19.6

-55.1

-37.3

Village-level arithmetic mean infection intensity at baseline*

0.77

0.52

4.11

5.1

1.78

5.37

2.94

Village-level arithmetic mean infection intensity at Year 5*

0.14

0.05

3.62

1.39

1.37

2.18

1.46

Egg reduction rate (1-Year 5 intensity/baseline)

0.82

0.9

0.12

0.73

0.23

0.59

0.57

Individual-level arithmetic mean infection intensity at baseline**

0.84

0.58

4.05

4.91

1.85

5.64

2.98

Individual-level arithmetic mean infection intensity at Year 5**

0.14

0.05

3.61

1.38

1.37

2.2

1.46

* Village−level intensity: This is the mean egg count for all tested 9−to−12−year−old subjects (including those with zero egg counts), which is a measure of community level contamination potential
** Individual−level intensity: This is the mean egg count among egg−positive 9−to−12−year−old subjects, which is an estimate of the intensity of infection among known active cases
§ Study arms: Low prevalence areas receiving SBT once a year (A1), and twice a year (A2); high prevalence areas receiving SBT once a year (B1), and twice a year (B2); and high prevalence areas receiving CWT once a year (C1), and twice a year (C2).

Figure 3 shows the change in overall prevalence of S. haematobium infection over time from the start of the project at baseline to the final Year 5 by treatment group. The starting prevalence of infected individuals in Group A is low at baseline in both A1 and A2 (3.7% and 4.6%, respectively) falling to nearly 0% in Year 5. The GEE shows no statistical difference between the arms at Year 5 for Group A. Group B had a higher prevalence at baseline in both B1 and B2 (24.5% and 22.5%, respectively), with a reduction in Year 5 (23.2% and 13.4%, respectively). The GEE showed that the difference in prevalence within Group B at Year 5 was significant with B2 being lower than B1 (p < 0.037). Group C had a prevalence of 14.3% in C1 and 23.4% in C2 with prevalence in Year 5 being 11.5% and 10.5%, respectively. There was no statistically significant difference between C1 and C2 at Year 5.

Figure 4 shows the change in overall prevalence and mean intensity of S. haematobium at each time point from the start of the project at baseline to the final Year 5 of the study. In all arms, there was a decrease in prevalence and mean intensity over time. In Groups B and C, however, there was a peak in prevalence and mean intensity of infection in Year 3.

Prevalence by gender showed a higher prevalence of infection among boys than girls, which was significant in Group B only (p < 0.001) (Table 4). Response to treatment was similar by gender, with both males and females showing a reduction of prevalence over time from baseline to Year 5 in most groups (Fig. 5). There was, however, a peak in prevalence of S. haematobium infection at Year 3 in both boys and girls in Groups B and C.

Table 4

Adjusted Odds Ratios from GLMM multivariate logistic regression model of S. haematobium infection at Year 5 only (n = 108,231 observations)

Study group

Variable

Categories

Parameter

Adjusted ORs

(95% CI)

p-values

Group A

Age*

10 years

-1.09

0.34

(0.11, 1.01)

0.052

11 years

-1

0.37

(0.11, 1.2)

0.098

12 years

-0.81

0.44

(0.17, 1.18)

0.104

Sex*

Male

0.07

1.07

(0.48, 2.35)

0.871

Treatment*

Biannual treatment

0.58

1.79

(0.1, 33.42)

0.698

Group B

Age*

10 years

-0.17

0.84

(0.69, 1.03)

0.090

11 years

-0.28

0.75

(0.61, 0.94)

0.011

12 years

-0.48

0.62

(0.5, 0.77)

> 0.001

Sex*

Male

0.26

1.3

(1.13, 1.5)

> 0.001

Treatment*

Biannual treatment

-0.84

0.43

(0.2, 0.95)

0.037

Group C

Age*

10 years

0.03

1.03

(0.83, 1.28)

0.815

11 years

-0.17

0.84

(0.65, 1.08)

0.178

12 years

-0.3

0.74

(0.57, 0.95)

0.019

Sex*

Male

0.09

1.1

(0.93, 1.29)

0.272

Treatment*

Biannual treatment

0

1

(0.43, 2.33)

0.999

* Reference groups: Age (9 years), Sex (Female), Treatment (annual treatment)
○ 95% CIs are based on empirical standard errors.

The adjusted ORs of S. haematobium infection from the GLMM multivariate logistic regression models are presented in Table 4. Significance testing to assess whether the prevalence of S. haematobium varied over time between Groups showed that gender and age had a significant effect on infection status (Table 3). The model shows that individuals who are male are almost one and a half times more likely than females to be infected in Group B (AOR: 1.3, p < 0.001). Children of 9 years old were more likely to be infected than older children in the 9-to-12-year cross-section. This was significant in Group A with 10-year olds (AOR: 0.34, p = 0.052); in Group B with 11 (AOR = 0.75, p = 0.011) and 12-year olds (AOR = 0.62, p < 0.001) and Group C with 12-year olds only (AOR = 0.74, p = 0.019). The impact of biannual versus annual treatment was also assessed with the GLMM model, where twice yearly treatment had a significantly greater impact in reducing prevalence of infection in Group B only (AOR = 0.43, p = 0.037.

First-year students and adult cross sections

In Year 1 and 5 of the study, an additional 42,584 and 16,996 observations were recorded for first-year students (aged 5-to-8 years) and adults (aged 20-to-55 years), respectively (Table 1). Overall, prevalence and intensity of infection decreased in both cross-sections over time. At baseline, examination revealed that prevalence was higher among first-year students (17.2%) compared to 11.3% of adults infected with S. haematobium, which fell to 9.54% and 4.95% in Year 5, respectively. The proportion of heavily infected individuals was low even at baseline, with 1.93% first-year students and 0.5% of adults, decreasing to 1.07% and 0.28% heavy infection in Year 5, respectively (Table 1).

When separated by treatment group, prevalence and intensity (with exception of Group C2 in adults) reduced in both adults and first year students across all arms from baseline to Year 5 (Fig. 6). Of interest is the reduction in adult prevalence that is statistically significant in both B1 (12.2–11%) and B2 (10.7–4.8%) arms where SBT was given only (p < 0.001). This would suggest that SBT alone has an impact on disease transmission.

The SCORE project commenced in Niger with the goal of providing an evidence base for programmatic decisions on how best to control urogenital schistosomiasis, and ultimately eliminate the public health problem in both highly and moderately endemic areas. Depending on the prevalence of schistosomiasis infection in a given community, WHO recommends PC using either a school-based or community-wide approach [7]. The initial aim of this study was to examine the impact of SBT, CWT and treatment holidays for the control of S. haematobium in villages with both a high (⩾21%) and moderate (10–24%) prevalence. In Year 3 the study was redesigned, however, to compare annual versus biannual treatment delivered by either SBT or CWT.

The primary research question presented here is which PC strategy provided the greatest reduction in prevalence and intensity of S. haematobium infection among 9-to-12-year olds after four years of intervention in the Niger River Valley. Biannual SBT treatment was found to be significantly more effective for reducing active schistosome infection than annual SBT in high prevalence areas (Arm B1 vs. B2). There was no significant effect of treatment frequency, however, in areas with a low starting prevalence (Arm A1 vs. A2), or in higher prevalence areas receiving CWT (Arm C1 vs. C2).

Although the purpose of the eligibility survey was to ensure a high enough starting prevalence to make comparisons between treatment arms, the eligibility survey did have higher infection rates than the baseline parasitological survey whereby several villages had high enough prevalence using Hemastix® but when assessed by urine filtration the prevalence was lower than 10% (see Table 5 in Appendix). Some studies have shown that in very low prevalence settings, microhaematuria can be an unstable proxy for urogenital schistosomiasis [2930]. On the other hand, the sensitivity of microscopic egg detection can vary according to intensity of infection, day-to-day variation in egg secretion, time the sample was collected, and number of examined samples [3135]. Another potential reason for the difference in dipstick and microscopic examination could be the fact that the eligibility was carried out in 13-to-14-year olds and the parasitology survey among 9-to-12-year olds. Some studies have shown that 13-to-14-year olds harbour higher infection levels due to them not attending school and therefore more likely to be exposed to infection [36]. Other studies have showed that many cases of urogenital schistosomiasis stay undetected when the examination method is limited to urine filtration [3738].

Table 5

Prevalence of S. haematobium in western Niger using Haemastix reagent dipsticks (2010–2011)

District

Number of Schools

Sampled

Number of People

Sampled

Number of Schools

Eligible

Number of People

Sampled in Eligible Schools

Method: Dipstick

(Eligibility survey among 13-14-year olds)

Method: Urine filtration

(Baseline data collection among 9-12-year olds)

Prevalence (%)

95% CI

Prevalence (%)

95% CI

CUN5

3

150

1

50

58.00

NA

4.00

NA

DS1

1

50

1

50

54.00

NA

32.00

NA

DS3

1

50

1

50

30.00

NA

8.00

NA

Filingue

93

4,528

44

2,141

20.10

16.71, 23.50

5.72

2.93, 8.52

Kollo

87

4,235

52

2,558

42.43

36.35, 48.51

26.68

19.72, 33.64

Loga

54

2,641

26

1,281

13.75

12.03, 15.47

1.70

0.78, 2.62

Say

76

3,568

31

1,501

37.19

31.79, 42.60

13.07

7.90, 18.24

Tera

45

2,242

41

2,042

39.92

33.87, 45.96

18.79

12.51, 25.07

Tillaberi

32

1,632

28

1,399

38.12

27.22, 49.03

24.29

13.10, 35.49

Total

392

19,096

225

11,072

       

Both age and gender influenced infection with these findings supported by that of other studies, which have shown that the highest prevalence and intensities of infection occurred in males and among older adolescents, with infection decreasing in adulthood [36, 3940]. There was no significant difference, however, in response to different treatment approach by age and sex.

To evaluate the potential longer-term impact of the program, we also examined the infections in first-year students, some of whom had not received treatment previously in SBT communities as they had only recently started attending school. It is important to note that S. haematobium infection in this group of children decreased significantly over four rounds of treatment, implying that the level of environmental transmission in these areas could have been reduced because of overall reductions in excreted eggs from infected children.

Currently the justification for targeting adults in a schistosomiasis control programme is based on the prevalence of infection in SAC [7]. A study in Nigeria, however, has shown that monitoring and evaluation of activities based on SAC was not a successful indicator of the burden of infection in adults [41]. The burden in adults will likely be driven by many local behavioural and cultural factors, and is, therefore, context specific. This makes it difficult to make a universal SAC infection prevalence threshold for switching to CWT. For this reason, adults were also sampled in this study. The findings here demonstrated that biannual CWT was not significantly more effective at reducing prevalence and intensity of infection. This lack of statistical significance, however, may be attributed to the difference in starting prevalence of the two groups whereby Group C1 was 14.3% and C2 was 23.4%. An important reason why studies find contrasting results regarding the benefit of CWT is the variation in the relative worm burden harboured by adults across different geographical settings; indeed, it has been modelled by Turner et al that the higher the pre-control burden in adults, the larger the benefit of switching to CWT [13]. Interestingly, there was a significant reduction in prevalence of S. haematobium infection seen among adults even in Group B implying the rate of transmission in the community had been decreased, even where only school children have been treated. These findings of reduction in infection among adults even in SBT communities was also seen in Mozambique [42].

Research in Niger has shown that the full economic delivery cost of SBT in 2005/06 was $0.76 and CWT was $0.46. Including only the programme costs the figures were $0.47 and $0.41 respectively [43]. Differences at sub-district were more marked. This is partly explained by the fact that a CDD treats 5.8 people for every one treated in school [43]. Although CWT did show a significant impact on the prevalence and intensity of S. haematobium infection among adults, given that prevalence also decreased among adults in SBT areas and twice-yearly CWT did not have a significantly greater impact on prevalence reduction with respect to annual CWT, these findings both have significant logistical and cost-saving implications for a national control programme and the justification for CWT.

The success of PC programmes may be influenced by a wide range of factors such as initial levels of endemicity and transmission intensities in the local environment; treatment frequency, coverage and compliance, among others [44]. Coverage data among different age groups is an important key determinant for achieving programme targets. Although average treatment coverage in the Niger SCORE programme has been shown to be well above the recommended WHO 75% threshold, in some areas it was above 100% and therefore implies an unreliable denominator. There may have been other external issues that might have affected the success of the biannual treatment. For example, there may have been a considerable gap between coverage and compliance [45]. Even when the proportion of eligible people who received tablets reach a significant fraction of the target population (coverage), those ingesting all the tablets at the same time (compliance) may be a better indicator of how well PC is being implemented. In this study, SBT was directly observed as the survey teams were present in the schools during the treatment. For CWT, however, there is less of a guarantee that the CDD supervised actual consumption of the treatment. In addition, frequent migration of people particularly among fishing communities or the nomadic Peule communities, some of whom move between neighbouring countries, remain significant hurdles to the successful implementation of the control program, particularly in terms of ensuring repeated treatment. Finally, there was an increase in prevalence seen across all Groups in Year 3. This is likely the consequence of severe flooding across the country in 2012, which would have increased water contact as well as affecting the snail population, in addition to subsequent migration.

There were limitations to the study. One of which was the treatment coverage, as discussed above, particularly where SAC numerators were higher than SAC denominators where adults who presented for treatment at the school were registered in the MDA. The other limitation was the differential in time periods between MDAs and parasitological surveys, which were not conducted precisely at once and six-monthly time points due to the logistical challenge of conducting such large surveys and treatment in such a short time frame. It is not clear whether this contributed to the findings as it was difficult to account for this in the analysis.

Given that there is a shifting emphasis towards transmission elimination by WHO, the findings here show that with good coverage biannual SBT may be the best strategy for schistosomiasis control in high prevalence areas. In low transmission settings, however, the lack of statistical impact of two rounds of treatment indicate that it may not be possible to break transmission using through PC alone and using other strategies such as health education, WASH, and snail control, should also be considered [46, 47].

The rationale behind biannual treatment was to reduce further the prevalence and intensity of infection, meaning a greater impact on schistosomiasis control. We conclude that twice yearly SBT treatment was effective in reducing S. haematobium in high prevalence areas, with average reported high treatment coverage. Biannual SBT in low prevalence settings and CWT in high prevalence areas did not have a significant impact on infection levels, therefore we conclude that it might not be cost effective to treat biannually in such areas but to focus on more targeted treatment in persistent hot spot areas, where infection remains high despite years of treatment. Finally, there was a significant reduction in prevalence observed in non-targeted age groups in the SBT communities. This suggests that SBT has an impact at reducing transmission potential in the community. The effect this has on adults and other non-targeted age groups should be investigated further as there would be significant cost implications in maintaining SBT strategies only.

Acknowledgments

We are grateful to the members of SCORE secretariat and advisory committee for reviewing our study, their advice, input, and support of our work. We are grateful to the Schistosomiasis Control Initiative for providing praziquantel for the study, through the donation to the Ministry of Health in Niger. We thank the technicians for their support in the field and the laboratory. We are grateful to the health, education and village authorities of all districts for their contribution. Finally, we thank all the children, parents, teachers and village leaders who participated in this study.

Ethics approval and consent to participate

National and local health, educational and administrative authorities were comprehensively informed of the study. Prior to the start of the study in each village, open public meetings were carried out in the local language followed by question and answer sessions with the survey team. The purpose of the study was explained to all schoolchildren, and verbal consent was obtained from the children themselves. It was explained that any child had the chance to withdraw from the study at any point, without any consequence. Written informed consent was also obtained from school headmasters. Due to the high rate of illiteracy among these communities, finger-print consent was obtained from all participants and parents or legal guardians of the children. Ethical review of the protocol was obtained from the National Bio-ethical Committee for Health of Niger and the survey was conducted according to NBCHM guidelines (ref: IRB00002657). The study protocol was also approved by Imperial College London (ref: ICREC_10_8_2). In addition to these, the University of Georgia institutional review board IRB implemented an administrative human subjects review and issued additional approval 10533-0 for Niger.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Funding

This research was financially supported by the Bill & Melinda Gates Foundation through the Schistosomiasis Consortium for Operational Research and Evaluation (SCORE) based at the University of Georgia in Athens, United States of America, Grant RR374–053/4893196. Praziquantel tablets for schistosomiasis treatment are donated by the Schistosomiasis Control Initiative Foundation (SCIF), United Kingdom.

Availability of data and materials

The datasets used and analysed during this study are available from the corresponding author upon reasonable request.

Contributions

AEP was responsible for the formulation of the overarching research aim of the manuscript. AEP and NAD were responsible for the data curation and analysis. AEP, AG and AF were responsible for the funding acquisition. ZT, BS, IG, BS, AGN, BM, OA, HS, KMH, RA, and AAH were responsible for the investigation and data collection. AEP, AG and AAH provided the resources for the study and were involved in the overall administration of the project. AEP wrote the paper. All authors read and approved the final manuscript.

 

  1. Steinmann P, Keiser J, Bos R, Tanner M, Utzinger J. Schistosomiasis and water resources development: systematic review, meta-analysis, and estimates of people at risk. Lancet Infect Dis. 2006; 6:411–25.
  2. World Health Organization. Weekly Epidemiological Record. 2016; 91(49/50): 585–600
  3. Lai Y-S, Biedermann P, Ekpo UF, Garba A, Mathieu E, Midzi N, et al. Spatial distribution of schistosomiasis and treatment needs in sub-Saharan Africa: A systematic review and geostatistical analysis. The Lancet Infectious Diseases. 2015; 15:927-40
  4. Clements A, Garba A, Sacko M, Touré S, Dembelé R, Landouré A, et al. Mapping the probability of schistosomiasis and associated uncertainty, West Africa. Emerg Infect Dis. 2008;14(10):1629-1632
  5. Garba A, Touré S, Dembelé R, Bosque-Oliva E, Fenwick A. Implementation of national schistosomiasis control programmes in West Africa. Trends in Parasit. 2006; 22(7): 322-326
  6. World Health Organisation. Schistosomiasis: progress report 2001–2011, strategic plan 2012–2020. http://apps.who.int/iris/handle/10665/78074. Accessed 23 May 2017.
  7. World Health Organization. Prevention and control of schistosomiasis and soil-transmitted helminthiasis. World Health Organ Tech Rep Ser. 2002; 912:57.
  8. Gabrielli AF, Toure S, Sellin B, Sellin E, Ky C, Ouedraogo H, et al. A combined school- and community-based campaign targeting all school-age children of Burkina Faso against schistosomiasis and soil-transmitted helminthiasis: performance, financial costs and implications for sustainability. Acta Trop. 2006; 99(2-3): 234-242.
  9. Salam RA, Maredia H, Das JK, Lassi ZS, Bhutta ZA. Community-based interventions for the prevention and control of helminthic neglected tropical diseases. Infect Dis Poverty. 2014; 3: 23.
  10. Hanson C, Weaver A, Zoerhoff KL, Kabore A, Linehan M, Doherty A, et al. Integrated implementation of programs targeting neglected tropical diseases through preventive chemotherapy: identifying best practices to roll out programs at national scale. Am J Trop Med Hyg. 2012; 86(3): 508-513.
  11. Toor J, Turner HC, Truscott JE, Werkman M, Phillips AE, Alsallaq R, et al. (2018) The design of schistosomiasis monitoring and evaluation programmes: The importance of collecting adult data to inform treatment strategies for Schistosoma mansoni. PLoS Negl Trop Dis 12(10): e0006717.
  12. Anderson RM, Turner HC, Farrell SH, Yang J, Truscott JE. What is required in terms of mass drug administration to interrupt the transmission of schistosome parasites in regions of endemic infection? Parasit Vectors. 2015;8(1):1–11.
  13. Anderson RM, Turner HC, Farrell SH, Truscott JE. Studies of the transmission dynamics, mathematical model development, and the control of schistosome parasites by mass drug administration in human communities. Adv Parasitol. 2016;94:199–246.
  14. Njenga SM, Mwandawiro CS, Muniu E, Mwanje MT, Haji FM, Bockarie MJ. Adult population as potential reservoir of NTD infections in rural villages of Kwale district. Coastal Kenya. 2011;4:175.
  15. Lo NC, Bogoch II, Blackburn BG, Raso G, N'Goran EK, Coulibaly JT, et al. Comparison of community-wide, integrated mass drug administration strategies for schistosomiasis and soil-transmitted helminthiasis: a cost-effectiveness modelling study. Lancet Glob Health. 2015; 3(10): 629-638.
  16. Gurarie D, Yoon N, Li E, Ndeffo-Mbah M, Durham D, Phillips AE et al. Modelling control of Schistosoma haematobium infection: predictions of the long-term impact of mass drug administration in Africa. Parasit Vectors. 2015; 8: 529.
  17. Turner HC, Truscott JE, Bettis AA, Farrell SH, Deol AK, Whitton JM et al. Evaluating the variation in the projected benefit of community-wide mass treatment for schistosomiasis: Implications for future economic evaluations. Parasit Vectors. 2017;10:213
  18. Massa K, Magnussen P, Sheshe A, Ntakamulenga R, Ndawi B, Olsen A. The effect of the community-directed treatment approach versus the school-based treatment approach on the prevalence and intensity of schistosomiasis and soil-transmitted helminthiasis among schoolchildren in Tanzania. Trans R Soc Trop Med Hyg. 2009;103(1):31–7.
  19. Onkanga IO, Mwinzi PNM, Muchiri G, Andiego K, Omedo M, Karanja DMS, et al. Impact of two rounds of praziquantel mass drug administration on Schistosoma mansoni infection prevalence and intensity: a comparison between community wide treatment and school based treatment in western Kenya. Int J Parasitol. 2016;46(7):439–45.
  20. King CH, Olbrych SK, Soon M, Singer ME, Carter J, Colley DG. Utility of repeated praziquentel dosing in the treatment of schistosomiasis in high-risk communities in Africa: a systematic review. PLoS Negl Trop Dis. 2011; 5(9): e1321
  21. Toure S, Zhang Y, Bosque-Oliva E, Ky C, Ouedraogo A, Koukounari A, et al. Two-year impact of single praziquantel treatment on infection in the national control programme on schistosomiasis in Burkina Faso. Bull World Health Organ. 2008;86(10):780–7.
  22. Ezeamama AE, He CL, Shen Y, Yin XP, Binder SC, Campbell CH et al (2016) Gaining and sustaining schistosomiasis control: study protocol and baseline data prior to different treatment strategies in five African countries. BMC Infect Dis 16: 229.
  23. Colley DG. Morbidity control of schistosomiasis by mass drug administration: How can we do it best and what will it take to move on to elimination? Trop Med Health. 2014;42(2 Suppl):25–32.
  24. Assaré RK, Knopp S, N’Guessan NA, Yapi A, Tian-Bi YN, Yao PK, et al. Sustaining control of schistosomiasis mansoni in moderate endemicity areas in western Côte d’Ivoire: a SCORE study protocol. BMC Public Health. 2014; 14:1290.
  25. King CH, Bertsch D. Meta-analysis of urine heme dipstick diagnosis of Schistosoma haematobium infection, including low-prevalence and previously-treated populations. PLoS Negl Trop Dis. 2013; 12:7(9)
  26. Lutte contre la bilharziose, un combat tous azimuts. Echo Santé. Bulletin d’information du Ministère de la Santé Publique du Niger. No 4, 2014.
  27. United Nations Development Programme, 2017. Human Development Report 2016, 286 pages. http://hdr.undp.org/sites/default/files/2016_human_development_report.pdf
  28. WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation (JMP). Progress on Sanitation and Drinking Water, 2010 Update.
  29. WHO/UNICEF Joint Monitoring Programme (JMP) for water supply and sanitation. Progress on sanitation and drinking water – 2015 update and MDG assessment, 90pp.
  30. African Ministers’ Council on Water (AMCOW), et al. Getting Africa on Track to Meet the MDGs on Water and Sanitation (2006).
  31. Plouvier S, Leroy JC, Colette J: A propos d’une technique simple de filtration des urines dans le diagnostic de la bilharziose urinaire en enquête de masse. Med Trop. 1975, 35: 229-230.
  32. Montresor A, Engels D, Ramsan M, Foum A, Savioli L: Field test of the ‘dose pole’ for praziquantel in Zanzibar. Trans R Soc Trop Med Hyg. 2002; 96: 323–324.
  33. Krauth SJ, Greter H, Stete K, Coulibaly JT, Traoré SI, Ngandolo BN, Achi LY, Zinsstag J, N'Goran EK, Utzinger J. All that is blood is not schistosomiasis: experiences with reagent strip testing for urogenital schistosomiasis with special consideration to very-low prevalence settings. Parasit Vectors. 2015 Nov 10;8:584
  34. Ochodo EA, Gopalakrishna G, Spek B, Reitsma JB, van Lieshout L, Polman K, Lamberton P, Bossuyt PM, Leeflang MM. Circulating antigen tests and urine reagent strips for diagnosis of active schistosomiasis in endemic areas. Cochrane Database Syst Rev. 2015 Mar 11;(3)
  35. Le L, Hsieh MH. Diagnosing urogenital schistosomiasis: Dealing with diminishing returns. Trends Parasitol. 2017; 33(5):378-387.
  36. Chandiwana SK. Community water-contact patterns and the transmission of Schistosoma haematobium in the Highveld region of Zimbabwe. Soc Sci Med. 1987; 25:495–505
  37. Kabatereine NB, Kemijumbi J, Ouma JH, Kariuki HC, Richter J, Kadzo H, et al. Epidemiology and morbidity of Schistosoma mansoni infection in a fishing community along Lake Albert in Uganda. Trans R Soc Trop Med Hyg. 2004;98(12):711–8.
  38. Feldmeier H, Poggensee G. Diagnostic techniques in schistosomiasis control. A review. Acta Trop. 1993;52:205–20.
  39. McCarthy JS, Lustigman S, Yang GJ, Barakat RM, García HH, Sripa B, Willingham AL, Prichard RK, Basáñez MG. A research agenda for helminth diseases of humans: diagnostics for control and elimination programmes. PLoS Negl Trop Dis. 2012; 6:1–13.
  40. Woolhouse MEJ, Mutapi F, Ndhlovu PD, Chandiwana SK, Hagan P. Exposure, infection and immune responses to Schistosoma haematobium in young children. Parasitology. 2000;120(Pt 1):37–44.
  41. Poggensee G, Kiwelu I, Saria M, Richter J, Krantz I, Feldmeier H. Schistosomiasis of the lower reproductive tract without egg excretion in urine. Am J Trop Med Hyg. 1998;59:782–3.
  42. Hegertun IE, SulheimGundersen KM, Kleppa E, Zulu SG, Gundersen SG, Taylor M, Kvalsig JD, Kjetland EF. Schistosoma haematobium as a common cause of genital morbidity in girls: a cross-sectional study of children in South Africa. PLoS Negl Trop Dis. 2013;7:1–8.
  43. Hagan P, Chandiwana S, Ndhlovu P, Woolhouse MEJ, Dessein A. The epidemiology, immunology and morbidity of Schistosoma haematobium infections in diverse communities in Zimbabwe. I: The study design. Trop Geogr Med. 1994; 46(4 Spec No): 227-232.
  44. Vennervald BJ, Ouma JH, Butterworth AE. Morbidity in Schistosomiasis: Assessment, Mechanisms and Control. Parasitol Today. 1998; 14(10): 385-390.
  45. Evans DS, King JD, Eigege A, Umaru J, Adamani W, Alphonsus K, et al. Assessing the WHO 50% prevalence threshold in school-aged children as indication for treatment of urogenital schistosomiasis in adults in central Nigeria. Am J Trop Med Hyg. 2013;88(3):441–5.
  46. Phillips AE, Gazzinelli-Guimaraes PH, Aurelio HO, Ferro J, Rassul N, Clements M, King CH, Fenwick A, Fleming FM, Dhanani N. Assessing the benefits of five years of different approaches to treatment of urogenital schistosomiasis: a SCORE project in Northern Mozambique. PLoS Negl Trop Dis [in review]
  47. Leslie J, Garba A, Oliva EB, Barkire A, Tinni AA, Djibo A, Mounkaila I, Fenwick A. Schistosomiasis and soil-transmitted helminth control in Niger: cost-effectiveness of school-based and community distributed mass drug administration. PLoS Negl Trop Dis. 2011; 5(10):e1326.
  48. Prichard RK, Basáñez MG, Boatin BA, McCarthy JS, García HH, Yang GJ, et al. A research agenda for helminth diseases of humans: intervention for control and elimination. PLoS Negl Trop Dis. 2012;6(4):e1549.
  49. Shuford KV, Turner HC, Anderson RM. Compliance with anthelmintic treatment in the neglected tropical disease control pogrammes
  50. World Health Organization. Meeting of the International task force for disease eradication, April 2012. Wkly Epidemiol Rec. 2012;87(33):305–9.
  51. Anderson RM, Turner HC, Farrell SH, Yang J, Truscott JE. What is required in terms of mass drug administration to interrupt the transmission of schistosome parasites in regions of endemic infection? Parasit Vectors. 2015;8(1):1–11.
Download PDF

Journal Publication

published 18 Nov, 2020

Read the published version in Parasites & Vectors  →

  • Editor assigned by journal

    30 Jun, 2020

  • Reviewers invited by journal

    30 Jun, 2020

  • Reviewer #1 agreed at journal

    30 Jun, 2020

  • First submitted to journal

    29 Jun, 2020

  • Submission checks completed at journal

    29 Jun, 2020

  • Editor invited by journal

    29 Jun, 2020

You are reading this latest preprint version