4.5 Article

Population dynamics of phlebotomine sand flies (Diptera: Psychodidae) in cutaneous leishmaniasis endemic areas of Kurunegala District, Sri Lanka

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ACTA TROPICA
卷 230, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.actatropica.2022.106406

关键词

Sand flies; Leishmaniasis; Sri Lanka; Ecology; Population size; Phlebotomus; Sergentomyia; Vector; Diptera; Rainfall; Temperature

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In this study, the population dynamics of sand flies in Sri Lanka were investigated through continuous entomological surveillance and analysis of climatic data. The findings showed that wind speed reduces sand fly abundance, while rainfall increases it. The higher prevalence of leishmaniasis in certain areas may be attributed to the higher density of sand flies. The study recommends systematic surveillance of sand flies as part of general healthcare services to prevent outbreaks.
Sand flies are the primary vectors of leishmaniasis. Disease management with effective vector control depends on the knowledge of vector population dynamics. In Sri Lanka, despite few isolated entomological collections, longterm studies are not reported to date. In the reported study, monthly entomological surveillance was conducted from May 2017 to December 2018 in Polpithigama, Maho, and Galgamuwa Medical Officer of Health (MOH) areas using standard entomological techniques. Climatic data were collected from the Department of Meteorology, Sri Lanka. Patient records were collected from each MOH office. A total of 38,339 sand flies were collected. The majority were Phlebotomus argentipes (99.50%, n = 38,147), while the rest was Sergentomyia punjabensis (0.50%, n = 192). Wind speed reduces sand fly abundance (r =-0.519, P < 0.05) evidently by limiting the movement. Rainfall increases sand fly abundance (r = 0.842, P < 0.05, lag = 6 months) probably by improving favorable conditions in breeding sites. The actual effect of humidity is not conclusive without further research. The observed higher prevalence of leishmaniasis in the study sites could be due to the higher sand fly density in these areas. The number of patients shows a strong positive correlation (r = 0.516, P < 0.05) to the sand fly abundance with a lag of 7 months. Systematic surveillance of sand flies as a part of general healthcare services is strongly recommended to identify and prevent possible outbreaks through timely planned vector control measures.

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