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. 2022 Jun 8;15(1):197.
doi: 10.1186/s13071-022-05284-w.

Mapping the global distribution of Strongyloides stercoralis and hookworms by ecological niche modeling

Affiliations

Mapping the global distribution of Strongyloides stercoralis and hookworms by ecological niche modeling

Pedro Emanuel Fleitas et al. Parasit Vectors. .

Abstract

Background: The WHO has established a control strategy for Strongyloides stercoralis in school-aged children as well as targets and to maintain control programs for Ascaris lumbricoides, Trichuris trichiura and hookworms. For an efficient development of control programs, it is necessary to know the target countries around the world, as well as the areas within each country where efforts should be focused. Therefore, maps that provide information on the areas at risk for soil-transmitted helminth (STH) infections on a national and sub-national scale would allow for a better allocation of resources.

Methods: We used the ecological niche models MaxEnt and Kuenm R library to estimate the global distribution of S. stercoralis and hookworms. We used occurrence points of both species extracted from surveys of two literature reviews and from the Global Atlas of Helminth Infection database, together with 14 raster maps of environmental variables.

Results: We obtained two raster maps with the presence probability of S. stercoralis and hookworm infections at a global level and then estimated the global population at risk to be 2.6 and 3.4 billion, respectively. The population at risk was also estimated at the country level using estimations for areas as small as 25 km2. A relationship was found between the probability of the presence of S. stercoralis and its prevalence, and a raster map was generated. Annual precipitation, annual temperature, soil carbon content and land cover were the main associated environmental variables. The ecological niches of Strongyloides stercoralis and hookworms had an overlap of 68%.

Conclusions: Here we provide information that can be used for developing more efficient and integrated control strategies for S. stercoralis and hookworm infections. This information can be annexed to the study of other risk factors or even other diseases to assess the health status of a community. GRAPHICAL ABSTARCT.

Keywords: Ecological niche models; Environmental variables; Hookworms; Population at risk; Strongyloides stercoralis.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Logistic ecological niche models raster maps for Strongyloides stercoralis and hookworms. a S. stercoralis, b hookworms
Fig. 2
Fig. 2
Probability of presence in locations of null, low and high (≥ 20) prevalence. a S. stercoralis, b hookworms
Fig. 3
Fig. 3
Global map of prevalence of S. stercoralis, estimated with the ecological niche model
Fig. 4
Fig. 4
Representation of the overlap of the ecological niches of S. stercoralis and hookworms. a Niche overlap. The blue ellipsoid represents the S. stercoralis niche and the red ellipsoid represents the hookworm niche. Blue and red points represent occurrences for S. stercoralis and hookworms, respectively. A Annual precipitation, B annual mean temperature, C soil pH. b Significance test. The continuous green line shows the overlapping of the S. stercoralis and hookworm niches, and the green dotted line shows the overlapping of niches created with random data from the background of each species. Abbreviations: CL, Confidence limit

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