%0 Journal Article %1 filipovic2020using %A Filipović, Igor %A Hapuarachchi, Hapuarachchige Chanditha %A Tien, Wei-Ping %A Razak, Muhammad Aliff Bin Abdul %A Lee, Caleb %A Tan, Cheong Huat %A Devine, Gregor J. %A Rašić, Gordana %D 2020 %J BMC Biology %K close-kin-mark-recapture mosquito_control mosquitos %N 1 %P 104-- %R 10.1186/s12915-020-00841-0 %T Using spatial genetics to quantify mosquito dispersal for control programs %U https://doi.org/10.1186/s12915-020-00841-0 %V 18 %X Hundreds of millions of people get a mosquito-borne disease every year and nearly one million die. Transmission of these infections is primarily tackled through the control of mosquito vectors. The accurate quantification of mosquito dispersal is critical for the design and optimization of vector control programs, yet the measurement of dispersal using traditional mark-release-recapture (MRR) methods is logistically challenging and often unrepresentative of an insect’s true behavior. Using Aedes aegypti (a major arboviral vector) as a model and two study sites in Singapore, we show how mosquito dispersal can be characterized by the spatial analyses of genetic relatedness among individuals sampled over a short time span without interruption of their natural behaviors.

@article{filipovic2020using, abstract = {Hundreds of millions of people get a mosquito-borne disease every year and nearly one million die. Transmission of these infections is primarily tackled through the control of mosquito vectors. The accurate quantification of mosquito dispersal is critical for the design and optimization of vector control programs, yet the measurement of dispersal using traditional mark-release-recapture (MRR) methods is logistically challenging and often unrepresentative of an insect’s true behavior. Using Aedes aegypti (a major arboviral vector) as a model and two study sites in Singapore, we show how mosquito dispersal can be characterized by the spatial analyses of genetic relatedness among individuals sampled over a short time span without interruption of their natural behaviors.}, added-at = {2022-04-08T18:20:51.000+0200}, author = {Filipović, Igor and Hapuarachchi, Hapuarachchige Chanditha and Tien, Wei-Ping and Razak, Muhammad Aliff Bin Abdul and Lee, Caleb and Tan, Cheong Huat and Devine, Gregor J. and Rašić, Gordana}, biburl = {https://www.bibsonomy.org/bibtex/2b5873c38f04b2b583a3a1bf171b3b479/peter.ralph}, doi = {10.1186/s12915-020-00841-0}, interhash = {9c3a9f758cb4b3f96e29115e1295fe19}, intrahash = {b5873c38f04b2b583a3a1bf171b3b479}, issn = {17417007}, journal = {BMC Biology}, keywords = {close-kin-mark-recapture mosquito_control mosquitos}, number = 1, pages = {104--}, refid = {Filipović2020}, timestamp = {2022-04-08T18:20:51.000+0200}, title = {Using spatial genetics to quantify mosquito dispersal for control programs}, url = {https://doi.org/10.1186/s12915-020-00841-0}, volume = 18, year = 2020 }