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Aedes aegypti aegypti Raw sequence reads

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NIAID Data Ecosystem2026-03-12 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP338016
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In this study, we use genomics-informed simulation modeling to assess if IIT and/or the removal of non-compliant rainwater tanks could lead to the local elimination of Australia's southernmost Ae. aegypti populations. We employ a recently developed simulation modeling framework MGDrivE 2, which enables simulations of seasonally-variable mosquito population dynamics and is capable of modeling different control strategies in spatially-structured mosquito populations. To explore how vulnerable each Wide Bay Burnett Region (WBBR) town would be to mosquito re-invasion (post elimination), we ascertained historical and contemporary population connectivity through the analyses of population genomic data from Ae. aegypti collected across eight towns in WBBR and six towns located further north. The estimated recent migration rate, along with our entomological surveillance data and meteorological data, were used to calibrate the simulations of elimination campaigns in Murgon and Wondai, the two southernmost Ae. aegypti populations.
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2021-09-23
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