Affiliation:
1. Centre for Emerging Zoonotic & Parasitic Diseases National Institute of Communicable Diseases Johannesburg South Africa
2. Wits Research Institute for Malaria, Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa
3. Malaria Elimination Programme, Mpumalanga Department of Health Nelspruit South Africa
Abstract
AbstractSouth Africa is a frontline country for malaria elimination in the southern African region. It has three malaria‐endemic provinces, each with its own transmission pattern. The elimination of malaria depends, in part, on controlling and/or eliminating vectors responsible for transmission. Sustained entomological surveillance is an important factor to consider when shifting from a control to elimination framework. The Ehlanzeni district in Mpumalanga province is a key entomological sentinel surveillance area. It is one of the malaria‐endemic districts in South Africa with higher rates of malaria incidences. As such, entomological data about the Anopheles gambiae Giles (Diptera: Culicidae) complex have been collected in this province over a substantial period. These data are stored in a pre‐existing institutional database. An analysis of the trends that can be observed from this database has not been performed before. This retrospective (longitudinal) analysis provides a summary of the An. gambiae complex vector composition in this region from 2009 to 2021. Routine surveillance data were correlated with climatic data (obtained from the NASA LaRC POWER project database) for the same period to assess the role of climatic factors in vector dynamics. This review also identifies a number of limitations in the data collection process across the sampling period and provides recommendations on how to strengthen the database going forward. The most abundant member of the An. gambiae complex since 2009 in the province was An. merus Dönitz followed by An. arabiensis Patton. Collection methods used showed that human landing catches were successful for collecting An. arabiensis, while pit traps were the most effective in collecting An. merus and An. quadriannulatus Theobald. The latter two species were mainly collected in spring, whereas An. arabiensis abundance was larger during autumn collections. Vector abundance was not significantly correlated with annual climatic data. The information gained from this database provides insights into the vector dynamics of the Ehlanzeni district of the Mpumalanga province.
Funder
Department of Science and Technology, Republic of South Africa
South African Medical Research Council
Bill and Melinda Gates Foundation
International Atomic Energy Agency
National Health Laboratory Service
Reference47 articles.
1. Exploring the influence of daily climate variables on malaria transmission and abundance of Anopheles arabiensis over Nkomazi local municipality, Mpumalanga province, South Africa;Abiodun G.J.;Journal of Environmental and Public Health.,2018
2. Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa;Adeola A.M.;Geospatial Health,2019
3. Climatic variables and malaria morbidity in Mutale local municipality, South Africa: a 19‐year data analysis;Adeola A.M.;International Journal of Environmental Research and Public Health,2017
4. Rainfall trends and malaria occurrences in Limpopo province, South Africa;Adeola A.M.;International Journal of Environmental Research and Public Health,2019
5. A new species in the major malaria vector complex sheds light on reticulated species evolution;Barrón M.G.;Scientific Reports,2019