| Literature DB >> 31452497 |
Andrea J Lund1, Mouhamadou Moustapha Sam2, Alioune Badara Sy2, Omar W Sow3, Sofia Ali3, Susanne H Sokolow4, Sylvia Bereknyei Merrell5, Janine Bruce6, Nicolas Jouanard2,7, Simon Senghor2, Gilles Riveau2, David Lopez-Carr8, Giulio A De Leo4.
Abstract
Human schistosomiasis is a snail-borne parasitic disease affecting more than 200 million people worldwide. Direct contact with snail-infested freshwater is the primary route of exposure. Water management infrastructure, including dams and irrigation schemes, expands snail habitat, increasing the risk across the landscape. The Diama Dam, built on the lower basin of the Senegal River to prevent saltwater intrusion and promote year-round agriculture in the drought-prone Sahel, is a paradigmatic case. Since dam completion in 1986, the rural population-whose livelihoods rely mostly on agriculture-has suffered high rates of schistosome infection. The region remains one of the most hyperendemic regions in the world. Because of the convergence between livelihoods and environmental conditions favorable to transmission, schistosomiasis is considered an illustrative case of a disease-driven poverty trap (DDPT). The literature to date on the topic, however, remains largely theoretical. With qualitative data generated from 12 focus groups in four villages, we conducted team-based theme analysis to investigate how perception of schistosomiasis risk and reported preventive behaviors may suggest the presence of a DDPT. Our analysis reveals three key findings: 1) rural villagers understand schistosomiasis risk (i.e., where and when infections occur), 2) accordingly, they adopt some preventive behaviors, but ultimately, 3) exposure persists, because of circumstances characteristic of rural livelihoods. These findings highlight the capacity of local populations to participate actively in schistosomiasis control programs and the limitations of widespread drug treatment campaigns. Interventions that target the environmental reservoir of disease may provide opportunities to reduce exposure while maintaining resource-dependent livelihoods.Entities:
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Year: 2019 PMID: 31452497 PMCID: PMC6779182 DOI: 10.4269/ajtmh.19-0099
Source DB: PubMed Journal: Am J Trop Med Hyg ISSN: 0002-9637 Impact factor: 2.345
Figure 1.The lower basin of the Senegal River, including the Diama Dam and four study sites. This figure appears in color at
Focus group characteristics by village and demographic group
| Village | Men | Women | Youth | Total | ||||
|---|---|---|---|---|---|---|---|---|
| Ages (years) | Ages (years) | Ages (years) | Ages (years) | |||||
| River | 6 | 20–53 | 8 | 23–60 | 6 | 12–15 | 20 | 12–60 |
| Lake W | 4 | 47–70 | 6 | 32–68 | 7 | 10–15 | 17 | 10–70 |
| Lake E1 | 6 | 34–49 | 6 | 27–41 | 5 | 10–14 | 17 | 10–49 |
| Lake E2 | 9 | 27–68 | 6 | 18–32 | 5 | 10–15 | 20 | 10–68 |
| Total | 25 | 20–70 | 26 | 18–68 | 23 | 10–15 | 74 | 10–70 |
Sociodemographic characteristics of all villages in larger study (n = 16 villages) as well as the four villages where focus group discussions were conducted, derived from HH survey data collected in August 2016
| Village | |||||
|---|---|---|---|---|---|
| Overall | River R | Lake W | Lake E1 | Lake E2 | |
| Total people | 10,970 | 642 | 1,067 | 1,368 | 578 |
| % Wolof ethnicity | 72 | 65 | 89 | 90 | 88 |
| Total adults | 5,824 | 338 | 456 | 618 | 231 |
| % Cultivators | 27.4 | 23.1 | 47.6 | 50.8 | 53.2 |
| % Homemakers | 27.1 | 29.6 | 32.0 | 31.9 | 32.0 |
| % Traders | 10.2 | 11.2 | 11.2 | 9.1 | 12.1 |
| % Fishers | 4.6 | 3.6 | 3.7 | 1.5 | 12.6 |
| % Day laborers | 13.9 | 6.2 | 2.9 | 0.8 | 0.4 |
| % Artisans | 0.8 | 1.2 | 0.2 | 0.0 | 1.3 |
| Total SAC | 1,480 | 96 | 122 | 103 | 125 |
| Urogenital prevalence in SAC (%)* | 77.2 | 88.5 | 90.2 | 85.4 | 96.8 |
| Intestinal prevalence in SAC (%)* | 32.2 | 32.3 | 13.9 | 17.5 | 22.4 |
| Total HH | 663 | 43 | 47 | 57 | 36 |
| Cultivated hectares | 1,252 | 156 | 148 | 141 | 94.6 |
| % HH with piped water access | 77.4 | 97.7 | 17.0 | 100.0 | 11.1 |
| % HH using surface water for drinking | 11.4 | 2.3 | 83.0 | 0.0 | 83.3 |
| % HH using surface water for laundry | 24.6 | 58.1 | 97.9 | 14.0 | 72.2 |
HH = households; SAC = school-aged children.
* Prevalence data were collected as part of the larger 16-village study in February–April 2016.