Dynamics of Malaria Vector Composition and Plasmodium falciparum infection in mainland Tanzania: 2017-2022 Data from the National Malaria Vector Entomological Surveillance
Authors: Mwalimu Charles , Kiware Samson , Nshama Rosemary , Derua Yahya , Machafuko Pendaeli , Mwingira Victor , Malima Robert , Githu Victoria , Masanja Brian , Mlacha Yeromin , Tungu Patrick , Kabula Bilali , Sambu Edward , Batengana Bernard , Matowo Johnson , Govella Nicodem , Chaki Prosper , Lazaro Samwel , Serbantez Naomi , Kitau Jovin , Magesa Stephen , Kisinza William 
Published: August 2023

Abstract

Background
In 2015, Tanzania National Malaria Control Program (NMCP) established a Longitudinal National Malaria Vector Entomological Surveillance (MVES). The MVES is aimed at a periodical assessment of malaria vector composition and abundance, feeding and resting behaviours, and Plasmodium falciparum infection in different malaria epidemiological strata to guide the NMCP on the deployment of appropriate malaria vector interventions. Here we report the dynamics of malaria vector composition and transmission in different malaria epidemiological strata.
Method
Malaria Vector Entomological Surveillance was conducted from 32 sentinel districts across the country. Mosquitoes were collected by the trained community members and supervised by the NMCP and research institutions. Three consecutive night catches (indoor collection with CDC light trap and indoor/outdoor collection using bucket traps) were conducted monthly in three different households selected randomly from two to three wards within each district council. Collected mosquitoes were sorted and morphologically identified in the field. Thereafter, the samples were sent to the laboratory for molecular characterisation using qPCR for species identification and detection of P. falciparaum infections (sporozoites). ELISA technique was deployed for blood meal analysis from samples of blood-fed mosquitoes to determine the blood meal indices (BMI)
Results
A total of 63,226 mosquitoes were collected in 32 district councils from January 2017 to December 2021. Out of which, 39,279 (62%), 20,983 (33%) and 2,964 (5%) were morphologically identified as An. gambiae s.l, An. funestus, and as other Anopheles species respectively. Out of 28,795 laboratory amplified mosquitoes, 13,645 (47%) were confirmed to be An. arabiensis, 9,904 (34%) as An. funestus s.s., and 5,193 (19%) as An. gambiae s.s. The combined average entomological inoculation rates (EIR) were 0.46 (95% CI 0.028–0.928) for An. gambiae s.s., 0.836 (95% CI 0.138–1.559) for An. arabiensis, and 0.58 (95% CI 0.165–0.971) for An. funestus s.s with variations across different malaria transmission strata. An. funestus s.s. and An. arabiensis were dominant in the Lake and South-Eastern zones, respectively, mostly in high malaria transmission areas. Monthly mosquito densities displayed seasonal patterns, with two peaks following the rainy seasons, varying slightly across species and district councils.
Conclusion
An. arabiensis remains to be the dominant vector species followed by An. funestus s.s. in the country. Therefore, strengthening integrated Vector Management including Larval Source Management (LSM) is recommended to address outdoor transmission by An. arabiensis to interrupt transmission especially where EIR is greater than the required elimination threshold of less than one (< 1) to substantially reduce the prevalence of malaria infection.