Replication Data for: Vectorial capacity and TEP1 genotypes of Anopheles gambiae sensu lato mosquitoes on the Kenyan coast
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<p>This is a replication dataset for "<a href="">Vectorial capacity and TEP1 genotypes of Anopheles gambiae sensu lato mosquitoes on the Kenyan coast</a>."
<p>Malaria remains one of the most important infectious diseases in Sub-Saharan Africa, responsible for approximately 228 million cases and 602,000 deaths in 2020.
Malaria transmission is mainly driven by mosquitoes of the Anopheles gambiae and more recently Anopheles funestus complex. The gains made in malaria control are threatened by
insecticide resistance and behavioural plasticity among these vectors. This therefore calls for the development of more effective novel interventions, e.g. gene drive systems
that can lead to population replacement of infection-susceptible mosquitoes with mosquitoes that are resistant to Plasmodium spp. infection. One such gene that can be utilised
is Thioester-containing protein 1 gene which mediates the killing of Plasmodium falciparum in the mosquito midgut. Mosquitoes were collected using CDC light traps both indoors and outdoors from 20 houses in Garithe village, along the Kenyan coast. The mosquitoes were dissected, and the
parts used to determine its species, source of blood-meal and sporozoite status. The data was analysed and visualised using the R (v 4.0.1) and STATA (v 17.0). </p>
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Harvard Dataverse
创建时间:
2022-01-06



