Epidemiological prediction of the distribution of insects of medical significance: comparative distributions of fleas and sucking lice on the rat host Rattus norvegicus in Yunnan Province, China

Abstract

Determining the distribution patterns of ectoparasites is important for predicting the spread of vector-borne diseases. A simple epidemiological model was used to compare the distributions of two different taxa of ectoparasitic insects, sucking lice (Insecta: Siphonaptera) and fleas (Insecta: Anoplura), on the same rodent host, Rattus norvegicus Berkenhout (Rodentia: Muridae), in Yunnan Province, China. Correlations between mean abundance and prevalence were determined. Both fleas and sucking lice were aggregated on their hosts, and sucking lice showed a higher degree of aggregation than fleas. The prevalence of both fleas and sucking lice increased with log-transformed mean abundance and a highly linear correlation and modelling efficiency of predicted prevalence against observed prevalence were obtained. The results demonstrate that prevalence can be explained simply by mean abundance.