ABSTRACT
Irrigation for rice cultivation increases the production of Anopheles gambiae, the main vector of malaria in Mali. Mosquito abundance is highly variable across villages and seasons. We examined whether rice cultivation patterns mapped using remotely sensed imagery can account for some of this variance. We collected entomologic data and mapped land use around 18 villages in the two cropping seasons during two years. Land use classification accuracy ranged between 70% and 86%. The area of young rice explained 86% of the inter-village variability in An. gambiae abundance in August before the peak in malaria transmission. Estimating rice in a 900-meter buffer area around the villages resulted in the best correlation with mosquito abundance, larger buffer areas were optimum in the October and dry season models. The quantification of the relationship between An. gambiae abundance and rice cultivation could have management applications that merit further study.
Subject(s)
Agriculture , Anopheles/physiology , Insect Vectors/physiology , Malaria/transmission , Oryza , Animals , Ecosystem , Geography , Housing , Linear Models , Mali , Mosquito Control , Population Density , SeasonsABSTRACT
Anophelism without malaria has long been recognized. In large irrigation projects, such as that around Niono, Mali, villages in irrigated areas sometimes have more anopheline vectors of malaria than adjacent nonirrigated villages, but overall malaria prevalence is substantially less. One hypothesized explanation for this is high anopheline densities lead to smaller adults, who do not live so long and hence are less efficient at transmitting the disease. We analyzed serial collections from 18 villages in an irrigated area of Mali, measuring correlations between mosquito densities and survival rates, zoophilic rates, and vectorial capacity over the villages and times. Adult density was inversely related to anthropophily and adult survival and its relationship with vectorial capacity was positive at low mosquito densities, flat at intermediate densities, and negative at high densities. This may partly explain why malaria prevalence is low in irrigated villages with high Anopheles density.