| Literature DB >> 31059495 |
Stefanie Knopp1,2,3, Shaali M Ame4, Bobbie Person5, Jan Hattendorf1,2, Muriel Rabone3, Saleh Juma6, Juma Muhsin6, Iddi Simba Khamis6, Elizabeth Hollenberg7, Khalfan A Mohammed6, Fatma Kabole6, Said M Ali4, David Rollinson3.
Abstract
BACKGROUND: The Zanzibar Elimination of Schistosomiasis Transmission (ZEST) project aimed to eliminate urogenital schistosomiasis as a public health problem from Pemba and to interrupt Schistosoma haematobium transmission from Unguja in 5 years.Entities:
Mesh:
Substances:
Year: 2019 PMID: 31059495 PMCID: PMC6502312 DOI: 10.1371/journal.pntd.0007268
Source DB: PubMed Journal: PLoS Negl Trop Dis ISSN: 1935-2727
Fig 1Flowchart of study design.
Baseline characteristics.
| Characteristic | Island | Stratification | 9–12 year old children | 1st year students | 20–55 year old adults | |||
|---|---|---|---|---|---|---|---|---|
| Pemba and Unguja | 88 | 88 | 89 | |||||
| Pemba and Unguja | 8278 | 6936 | 4015 | |||||
| Pemba and Unguja | 10.5 | (1.0) | 7.7 | (0.8) | 34.1 | (10.4) | ||
| Pemba and Unguja | Women | 4440 | 3598 | 2872 | ||||
| Men | 3838 | 3338 | 1140 | |||||
| Pemba and Unguja | 8154 | 6813 | 3974 | |||||
| Pemba and Unguja | MDA-only | 120/2853 | (4.2) | 162/2325 | (7.0) | 38/1337 | (2.8) | |
| Snail control | 209/2688 | (7.8) | 226/2276 | (9.9) | 58/1330 | (4.4) | ||
| Behavior change | 167/2613 | (6.4) | 213/2212 | (9.6) | 59/1307 | (4.5) | ||
| Pemba | 328/4017 | (8.2) | 432/3543 | (12.2) | 102/1865 | (5.5) | ||
| Unguja | 168/4137 | (4.1) | 169/3270 | (5.2) | 53/2109 | (2.5) | ||
| Pemba | 8.2 | 13.2 | 1.0 | |||||
| Unguja | 1.1 | 3.0 | 0.4 | |||||
| Pemba | Negative | 3678/4004 | (91.9) | 3101/3533 | (87.8) | 1759/1861 | (94.5) | |
| Light | 219/4004 | (5.5) | 263/3533 | (7.4) | 95/1861 | (5.1) | ||
| Heavy | 107/4004 | (2.7) | 169/3533 | (4.8) | 7/1861 | (0.4) | ||
| Unguja | Negative | 3907/4069 | (96.0) | 3024/3190 | (94.8) | 2035/2088 | (97.5) | |
| Light | 143/4069 | (3.5) | 134/3190 | (4.2) | 49/2088 | (2.3) | ||
| Heavy | 19/4069 | (0.5) | 32/3190 | (1.0) | 4/2088 | (0.2) | ||
* 2 schools and one shehia were not surveyed in Unguja at baseline.
** S. haematobium-positive is defined as urine filtration egg-positive or, in the absence of a urine filtration result, as hematuria-positive (trace, +, ++, +++).
*** The intensity of S. haematobium infection was categorized as negative (0 eggs per 10 ml of urine), light (1 to 49 eggs per 10 ml of urine), or heavy (≥50 eggs per 10 ml of urine) [22].
Fig 2Odds ratios (OR) of S. haematobium infection.
Data are unadjusted OR and weighted OR adjusted for baseline prevalence imbalance (inverse probability weights) and cluster size with 95% confidence intervals of the three participant groups in all study years. Treatment arms are biannual mass drug administration (MDA) plus snail control (arm 2) or biannual MDA plus behavior change (arm 3) versus biannual MDA-only (arm 1). Numbers represent the prevalence or the weighted prevalence, respectively, in a certain year (left: arm 1, right arm 2 or 3, respectively).
Reduction of prevalence and intensity from baseline (2011/12) to final survey (2017).
| Number tested at baseline | 4017 | 3543 | 1865 | |||
| Number infected at baseline | 328 | 432 | 102 | |||
| Prevalence at baseline | 8.2 | (5.6–10.8) | 12.2 | (8.4–16.0) | 5.5 | (3.7–7.2) |
| Number tested in Year 6 | 4888 | 4559 | 2237 | |||
| Number infected in Year 6 | 82 | 129 | 39 | |||
| Prevalence in Year 6 | 1.7 | (1.0–2.3) | 2.8 | (1.4–4.3) | 1.7 | (1.1–2.4) |
| Absolute difference between prevalence at Year 6 and baseline | -6.5 | -9.4 | -3.7 | |||
| Relative difference between prevalence in Year 6 and baseline (% change) | -79.5 | -76.8 | -68.1 | |||
| Village level arithmetic mean infection intensity at baseline (including zeros) | 8.2 | 13.2 | 1.0 | |||
| Village level arithmetic mean infection intensity at Year 6 (including zeros) | 1.7 | 2.8 | 0.6 | |||
| Egg reduction rate (1- Year 6 intensity/baseline) | 0.8 | 0.8 | 0.5 | |||
| Number tested at baseline | 4137 | 3270 | 2109 | |||
| Number infected at baseline | 168 | 169 | 53 | |||
| Prevalence at baseline | 4.1 | (2.5–5.6) | 5.2 | (2.9–7.5) | 2.5 | (1.1–3.9) |
| Number tested in Year 6 | 4593 | 4171 | 2250 | |||
| Number infected in Year 6 | 78 | 96 | 29 | |||
| Prevalence in Year 6 | 1.7 | (0.8–2.6) | 2.3 | (1.3–3.3) | 1.3 | (0.6–2.0) |
| Absolute difference between prevalence at Year 6 and baseline | -2.4 | -2.9 | -1.2 | |||
| Relative difference between prevalence in Year 6 and baseline (% change) | -58.2 | -55.5 | -48.7 | |||
| Village level arithmetic mean infection intensity at baseline (including zeros) | 1.1 | 3.0 | 0.4 | |||
| Village level arithmetic mean infection intensity at Year 6 (including zeros) | 0.7 | 0.9 | 0.2 | |||
| Egg reduction rate (1- Year 6 intensity/baseline) | 0.4 | 0.7 | 0.4 |
95% CI: 95% confidence intervals
* S. haematobium-positive is defined as urine filtration egg-positive or, in the absence of a urine filtration result, as hematuria-positive (trace, +, ++, +++).
** The intensity of S. haematobium infection was categorized as negative (0 eggs per 10 ml of urine), light (1–49 eggs per 10 ml of urine), or heavy (≥50 eggs per 10 ml of urine) [22].
Fig 3Change in S. haematobium prevalence and intensity.
Data are prevalence and intensity in 45 schools/shehias (clusters) per island, stratified by population group, island, and year. The color code shows the percentage of heavily infected individuals among those infected. A) 9- to 12-year old students in Pemba; B) 9- to 12-year old students in Unguja; C) 20- to 55-year old adults in Pemba; D) 20- to 55-year old adults in Unguja; E) 1st year students in Pemba; F) 1st year students in Unguja.
Fig 4S. haematobium prevalence.
Maps showing the annual prevalence in 45 schools/shehias in Pemba and Unguja, respectively, for each of the surveyed population groups. A) 9- to 12-year old children in Pemba; B) 20- to 55-year old adults in Pemba; C) 9- to 12-year old children in Unguja; D) 20- to 55-year old adults in Unguja. Maps were created with QGIS version 2.14.21 using coordinates of schools collected with a handheld Garmin GPSMAP 62sc device (Garmin, Kansas City, USA) and shape files of shehias provided by the Zanzibar Health Management Information System to the Neglected Diseases Program of the Zanzibar Ministry of Health.
Fig 5Prevalence versus compliance for 9- to12-year old children and for 20- to 55-year old adults from 2013 through 2015.
The lower end of the triangle shows the higher prevalence of both years ((prevalence of children + prevalence of adults)/2); the upper end of the triangle shows the lower prevalence of both years. If triangles peak to the bottom, the prevalence decreased; if triangles peak to the top, prevalence increased. The color of the left bottom triangle shows the prevalence in schoolchildren in the year preceding the treatment (red = highest, dark green = lowest); the color of the right bottom triangle shows the prevalence in adults in the year preceding the treatment (red = highest, dark green = lowest); the color of the left top triangle shows the prevalence in schoolchildren in the year following the treatment (red = highest, dark green = lowest); the color of the right top triangle shows the prevalence in adults in the year following the treatment (red = highest, dark green = lowest). A: Coverage of directly observed school-based treatment (SBT) in 45 study schools and compliance with praziquantel treatment in community-wide treatment (CWT) in 45 study shehias in Unguja in November 2013 and the S. haematobium prevalence in 2013 and 2014. B: Coverage of directly observed SBT in 45 study schools and compliance with praziquantel treatment in CWT in 45 study shehias in Pemba in November 2013 and the S. haematobium prevalence in 2013 and 2014. C: Compliance with praziquantel treatment in CWT in 45 study shehias in Unguja in December 2014 and the S. haematobium prevalence in 2014 and 2015. D: Coverage of directly observed SBT in 45 study schools and compliance with praziquantel treatment at health posts in 45 study shehias in Pemba in December 2014 and the S. haematobium prevalence in 2014 and 2015. E: Coverage of directly observed SBT in 45 study schools and compliance with praziquantel treatment in CWT in 45 study shehias in Unguja in December 2015 and the S. haematobium prevalence in 2015 and 2016. F: Coverage of directly observed SBT in 45 study schools and compliance with praziquantel treatment in CWT in 45 study shehias in Pemba in December 2015 and the S. haematobium prevalence in 2015 and 2016.