1. Schistosomiasis transmission: A machine learning analysis reveals the importance of agrochemicals on snail abundance in Rwanda.
- Author
-
Kagabo, Joseph, Tabo, Zadoki, Kalinda, Chester, Nyandwi, Elias, and Rujeni, Nadine
- Subjects
WATER management ,NEGLECTED diseases ,BIOFORTIFICATION ,INDEPENDENT variables ,ELECTRIC conductivity - Abstract
Background: Schistosomiasis is an important snail-borne parasitic disease whose transmission is exacerbated by water resource management activities. In Rwanda, meeting the growing population's demand for food has led to wetlands reclamation for cultivation and increased agrochemical enrichment for crop production. However, the ecological consequences of agrochemical enrichment on schistosomiasis transmission remain unexplored. Methods: A malacological survey was conducted in 71 villages selected from 15 schistosomiasis endemic districts. Snail sampling was done in wetlands used for agriculture, along lake Kivu and at constructed multipurpose water dams. Water physico-chemical parameters were collected at all snail sampling sites. Analysis of collected data was performed using Xgboost (gain) and Random Forest (mean decrease in accuracy), machine learning techniques, to construct models that evaluate and categorize the importance of all physico-chemical properties on the presence and abundance of intermediate host snails (IHS). Results: Different sets of parameters were relevant for the presence and abundance of Biomphalaria spp. and/or Bulinus spp. snails. Electrical conductivity, elevation, magnesium and lead content were deemed to shape the presence and abundance of Bulinus spp. snails. The impact of phosphate ion concentration, ammonia ions, total nitrogen and total organic carbon levels mirrored their importance towards the presence and abundance of Biomphalaria spp. Factors such as pH, electric conductivity, total nitrogen content and total organic carbon influenced the coexistence of both species. Our study highlights the value of integrating a wide range of predictor variables, enabling effective variable selection to uncover important predictors of snail distribution. Conclusion: The results suggest that agrochemical compounds can enhance the abundance of IHS leading to an increased risk of Schistosoma transmission. Snail surveillance could therefore be integrated into agricultural expansion projects in our match towards schistosomiasis elimination. Recognizing the impact of agrochemicals on IHS is crucial for minimizing schistosomiasis transmission among those working in wetlands while meeting the growing need for food. Author summary: Schistosomiasis is a neglected tropical disease (NTD) affecting more than 250 million people worldwide, the biggest burden being in Africa. In Rwanda, a national control program was established in 2008 and since then, regular mass deworming campaigns target populations at risk. However, quinquennial mapping surveys and epidemiological studies reveal areas with persistent infection and new foci of transmission. Since these foci often coincide with water bodies used for agricultural activities, this study aimed to investigate how agrochemical compounds and physical properties of water bodies influence the distribution and abundance of snails that are intermediate hosts for Schistosoma parasites. We used in comparison two machine learning approaches to analyze a wide range of physico-chemical parameters of water bodies in relation to snail abundance throughout the country. Findings indicate that water acidity and chemicals like those found in fertilizers influence the abundance of snails, confirming that agricultural expansion may carry the unwanted burden of schistosomiasis transmission. As the country aims to move towards schistosomiasis elimination as a public health problem, it is imperative to integrate infection control such as public health education, snail control (improved agricultural practices), and mass drug administration into efforts to improve agricultural production. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF