01930nas a2200349   4500000000100000008004100001260001600042653001900058653004900077653002600126653002000152653002600172653001000198653001400208653001200222653001100234100001700245700001300262700001300275700001300288700001400301700001400315700001400329700001200343700001400355700001500369245010300384856015300487300000900640520091700649022001401566       2023                            d  bElsevier BV10aInsect Science10aEcology, Evolution, Behavior and Systematics10amosquito surveillance10astrategic plans10avector-borne diseases10aAedes10aAnopheles10aMalaria10aDengue1 aCoulibaly ZI1 aGowelo S1 aTraore I1 aMbewe RB1 aNgulube W1 aOlanga EA1 aDePina AJ1 aSanou A1 aColeman S1 aTangena JA00aStrengthening adult mosquito surveillance in Africa for disease control: Learning from the present  uhttps://www.sciencedirect.com/science/article/pii/S2214574523001074/pdfft?md5=74c083de973ca6a8c21b7fa8f5943dac&pid=1-s2.0-S2214574523001074-main.pdf  a1-213 a<p>Mosquito surveillance is essential to successfully control and eliminate mosquito-borne diseases. Yet, it is often done by numerous organizations with little collaboration, incomplete understanding of existing gaps, and limited long-term vision. There is a clear disconnect between entomological and epidemiological indices, with entomological data informing control efforts inadequately. Here we discuss current mosquito surveillance practises across the heterogenous disease landscape in Africa. We advocate for the development of mosquito surveillance strategic plans to increase the impact and functionality of mosquito surveillance. We urge for a proactive approach to set up centralized mosquito data systems under custodian of national governments, focus on epidemiologically relevant mosquito data and increase robustness of mosquito surveillance using a more spatially explicit sampling design.</p>
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