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  • Hotez, P. J. et al. Control of neglected tropical diseases. New Engl. J. Med. 357, 1018–1027 (2007).

    Article  CAS  PubMed  Google Scholar 

  • Hotez, P. J. Neglected infections of poverty in the United States of America. PLoS Negl.Trop. Dis. 2, e256 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  • Ngonghala, C. N. et al. Poverty, disease, and the ecology of complex systems. PLoS Biol. 12, e1001827 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  • Barrett, C. B., Carter, M. R. & Chavas, J. The Economics of Poverty Traps (Univ. Chicago Press, 2019).

  • Lozano, R. et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 2095–2128 (2013).

    Article  Google Scholar 

  • Rohr, J. R. et al. Emerging human infectious diseases and the links to global food production. Nat. Sustain. 2, 445 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  • Halstead, N. T. et al. Agrochemicals increase risk of human schistosomiasis by supporting higher densities of intermediate hosts. Nat. Commun. 9, 837 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  • 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. 6, 411–425 (2006).

    Article  PubMed  Google Scholar 

  • Gryseels, B., Polman, K., Clerinx, J. & Kestens, L. Human schistosomiasis. Lancet 368, 1106–1118 (2006).

    Article  PubMed  Google Scholar 

  • King, C. H. Parasites and poverty: the case of schistosomiasis. Acta Trop. 113, 95–104 (2010).

    Article  PubMed  Google Scholar 

  • Whitmee, S. et al. Safeguarding human health in the Anthropocene epoch: report of The Rockefeller Foundation–Lancet Commission on Planetary Health. Lancet 386, 1973–2028 (2015).

    Article  PubMed  Google Scholar 

  • FAO, IFAD, UNICEF, WFP & WHO. The State of Food Security and Nutrition in the World: Transforming Food Systems for Food Security, Improved Nutrition and Affordable Healthy Diets for All https://doi.org/10.4060/cb4474en (FAO, 2021).

  • Collecting and Carrying Water, Burdensome Reality for Women https://www.unwomen.org/en/news/stories/2014/3/collecting-and-carrying-water-burdensome-reality-for-women (UN Women, 2014).

  • Hoover, C. M. et al. Modelled effects of prawn aquaculture on poverty alleviation and schistosomiasis control. Nat. Sustain. 2, 611–620 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  • Haggerty, C. J. et al. Aquatic macrophytes and macroinvertebrate predators affect densities of snail hosts and local production of schistosome cercariae that cause human schistosomiasis. PLoS Negl.Trop. Dis. 14, e0008417 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  • Wood, C. L. et al. Precision mapping of snail habitat provides a powerful indicator of human schistosomiasis transmission. Proc. Natl Acad. Sci. USA 116, 23182–23191 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Underwood, G. J. C., Thomas, J. D. & Baker, J. H. An experimental investigation of interactions in snail–macrophyte–epiphyte systems. Oecologia 91, 587–595 (1992).

    Article  CAS  PubMed  Google Scholar 

  • Global Invasive Species Database, http://www.iucngisd.org/gisd/species.php?sc=281 (accessed November 2022).

  • Best, E. P. Effects of nitrogen on the growth and nitrogenous compounds of Ceratophyllum demersum. Aquat. Bot. 8, 197–206 (1980).

    Article  CAS  Google Scholar 

  • Pietro, K. C., Chimney, M. J. & Steinman, A. D. Phosphorus removal by the Ceratophyllum/periphyton complex in a south Florida (USA) freshwater marsh. Ecol. Eng. 27, 290–300 (2006).

    Article  Google Scholar 

  • Quilliam, R. S. et al. Can macrophyte harvesting from eutrophic water close the loop on nutrient loss from agricultural land? J. Environ. Manage. 152, 210–217 (2015).

    Article  CAS  PubMed  Google Scholar 

  • Lo, N. C. et al. Impact and cost-effectiveness of snail control to achieve disease control targets for schistosomiasis. Proc. Natl Acad. Sci. USA 115, E584 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • WHO. Prevention and control of schistosomiasis and soil-transmitted helminthiasis. World Health Organ. Tech. Rep. Ser. 912, 57 (2002).

    Google Scholar 

  • Chu, K. Trials of ecological and chemical measures for the control of Schistosoma haematobium transmission in a Volta Lake village. Bull. World Health Organ. 56, 313 (1978).

    CAS  PubMed  PubMed Central  Google Scholar 

  • Deol, A. K. et al. Schistosomiasis—assessing progress toward the 2020 and 2025 global goals. New Engl. J. Med. 381, 2519–2528 (2019).

    Article  PubMed  Google Scholar 

  • Klumpp, R. & Chu, K. Importance of the aquatic weed Ceratophyllum to transmission of Schistosoma haematobium in the Volta Lake, Ghana. Bull. World Health Organ. 58, 791 (1980).

    CAS  PubMed  PubMed Central  Google Scholar 

  • Boelee, E. & Laamrani, H. Environmental control of schistosomiasis through community participation in a Moroccan oasis. Trop. Med. Int. Health 9, 997–1004 (2004).

    Article  PubMed  Google Scholar 

  • Garchitorena, A. et al. Disease ecology, health and the environment: a framework to account for ecological and socio-economic drivers in the control of neglected tropical diseases. Phil. Trans. R Soc. B 372, 20160128 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  • Liu, Z. Y.-C. et al. Deep learning segmentation of satellite imagery identifies aquatic vegetation associated with snail intermediate hosts of schistosomiasis in Senegal, Africa. Remote Sens. 14, 1345 (2022).

    Article  Google Scholar 

  • Jones, I. J. et al. Schistosome infection in Senegal is associated with different spatial extents of risk and ecological drivers for Schistosoma haematobium and S. mansoni. PLOS Neglect. Trop. Dis. 15, e0009712 (2021).

    Article  Google Scholar 

  • Sustainable Development Goals https://sdgs.un.org/goals (United Nations, 2021).

  • Hopkins, S. R. et al. Evidence gaps and diversity among potential win–win solutions for conservation and human infectious disease control. Lancet Planet. Health 6, e694–e705 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  • Leonardi, U. Senegal Land Cover Mapping, Technical Report. http://www.fao.org/fileadmin/user_upload/geospatial/docs/Land_Cover/Senegal_LC/Senegal_LC_Report_1208.pdf (FAO, 2008).

  • Moher, D. et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. Int. J. Surg, 10, 28–55 (2012).

    Article  PubMed  Google Scholar 

  • Plouvier, S., Leroy, J. C. & 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. 35, 229–230 (1975).

    Google Scholar 

  • Katz, N., Chaves, A. & Pellegrino, J. A simple device for quantitative stool thick-smear technique in Schistosomiasis mansoni. Rev. Inst. Med. Trop. Sao Paulo 14, 397–400 (1972).

    CAS  PubMed  Google Scholar 

  • Council for International Organizations of Medical Sciences. International ethical guidelines for biomedical research involving human subjects. Bull. Med. Ethics 182, 17–23 (2002).

  • Venables, W. N. & Ripley, B. D. Modern Applied Statistics with S 4th edn (Springer, 2002).

  • Lefcheck, J. S. piecewiseSEM: piecewise structural equation modeling in R for ecology, evolution, and systematics. Methods Ecol. Evol. 7, 6 (2016).

    Article  Google Scholar 

  • Wickham, H. The split-apply-combine strategy for data analysis. J. Stat. Softw. 40, 1–29 (2011).

    Article  Google Scholar 

  • Brooks, M. E. et al. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9, 378–400 (2017).

    Article  Google Scholar 

  • Fox, J. & Weisberg, S. An R Companion to Applied Regression (Sage Publications, 2018).

  • Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2016).

  • Lenth, R. V. Least-squares means: the R package lsmeans. J. Stat. Softw. 69, 1–33 (2016).

    Article  Google Scholar 

  • Huang, F. L. Alternatives to logistic regression models in experimental studies. J. Exp. Educ. 90, 213–228 (2022).

    Article  Google Scholar 

  • Anderson, M. PERMANOVA+ for PRIMER: Guide to Software and Statistical Methods (Primer-E, 2008).

  • Bartoń, K. MuMIn: Multi-modal inference. Model selection and model averaging based on information criteria (AICc and alike). (2019).

  • Lenth, R. Emmeans: Estimated marginal means, aka least-squares means. R package version 1.4.7. (2020).

  • Christensen, R. H. B. ordinal: Regression models for ordinal data. R package version 2019.12-10 (2019).

  • Best, P. Nutrient content of the aquatic macrophytes Elodea canadensis and Ceratophyllum in the course of the year. Hydrobiol. Bull. 10, 15–16 (1976).

    Article  Google Scholar 

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