Abstract

Background: Malaria transmission is based on four essential elements: the vector, the parasite, humans and the environment. However, of the four elements, the environment is not sufficiently exploited. Methods: In the research presence carried out in 6 localities in North Benin, we used a microscopic vision of the health geographer, focusing on certain components of geography, entomology and meteorology to show what to show spatial disparities in malaria transmission using Arcgis 10.4, Global Mapper and SPSS 21.0 for regression and correlation analysis. Results: The results of our research show that the slopes are unstable. Also, the lower the altitude, the lower the water kinetics and consequently a lot of water stagnation favourable for the development of mosquito breeding sites. The explanatory power of the regression model means that 54.3% of the variation in positive mosquito breeding is explained by human population density. Conclusions: Benin must make significant progress in the elimination of malaria using a new effort to understand the ecology of vector mosquitoes based on spatial disparities in the fight against malaria.

Highlights

  • Malaria is caused by the Plasmodium parasite and transmitted by mosquito vectors of the Anopheles genus

  • Malaria is limited to tropical regions, affecting more SubSaharan African countries where distribution of it transmission risk is unequal [1]

  • [2] Various anthropogenic factors underline the spatial distribution of the risk of malaria transmission

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Summary

Introduction

Malaria is caused by the Plasmodium parasite and transmitted by mosquito vectors of the Anopheles genus. The parasite and the vector that sustain malaria transmission require precise environmental conditions. [2] Various anthropogenic factors underline the spatial distribution of the risk of malaria transmission. Malaria transmission is based on four essential elements: the vector, the parasite, humans and the environment. Methods: In the research presence carried out in 6 localities in North Benin, we used a microscopic vision of the health geographer, focusing on certain components of geography, entomology and meteorology to show what to show spatial disparities in malaria transmission using Arcgis 10.4, Global Mapper and SPSS 21.0 for regression and correlation analysis. Conclusions: Benin must make significant progress in the elimination of malaria using a new effort to understand the ecology of vector mosquitoes based on spatial disparities in the fight against malaria

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