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Ecological Niche Modeling of Aedes and Culex Mosquitoes: A Risk Map for Chikungunya and West Nile Viruses in Zambia

  • Rachel Milomba Velu
  • , Geoffrey Kwenda
  • , Samuel Bosomprah
  • , Moses Ngongo Chisola
  • , Michelo Simunyandi
  • , Caroline Cleopatra Chisenga
  • , Flavien Nsoni Bumbangi
  • , Nicholus Chintu Sande
  • , Limonty Simubali
  • , Monicah Mirai Mburu
  • , John Tembo
  • , Matthew Bates
  • , Martin Chitolongo Simuunza
  • , Roma Chilengi
  • , Yasuko Orba
  • , Hirofumi Sawa
  • , Edgar Simulundu
  • Centre for Infectious Disease Research in Zambia
  • University of Zambia
  • Chainama Hills Hospital Grounds
  • Macha Research Trust
  • University Teaching Hospital Lusaka
  • University of Lincoln
  • Zambia Ministry of Health
  • Hokkaido University
  • International Collaboration Unit

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

The circulation of both West Nile Virus (WNV) and Chikungunya Virus (CHIKV) in humans and animals, coupled with a favorable tropical climate for mosquito proliferation in Zambia, call for the need for a better understanding of the ecological and epidemiological factors that govern their transmission dynamics in this region. This study aimed to examine the contribution of climatic variables to the distribution of Culex and Aedes mosquito species, which are potential vectors of CHIKV, WNV, and other arboviruses of public-health concern. Mosquitoes collected from Lusaka as well as from the Central and Southern provinces of Zambia were sorted by species within the Culex and Aedes genera, both of which have the potential to transmit viruses. The MaxEnt software was utilized to predict areas at risk of WNV and CHIKV based on the occurrence data on mosquitoes and environmental covariates. The model predictions show three distinct spatial hotspots, ranging from the high-probability regions to the medium- and low-probability regions. Regions along Lake Kariba, the Kafue River, and the Luangwa Rivers, as well as along the Mumbwa, Chibombo, Kapiri Mposhi, and Mpika districts were predicted to be suitable habitats for both species. The rainfall and temperature extremes were the most contributing variables in the predictive models.

Original languageEnglish
Article number1900
JournalViruses
Volume15
Issue number9
DOIs
Publication statusPublished - Sep 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Aedes
  • Chikungunya virus
  • Culex
  • West Nile virus
  • Zambia
  • arbovirus
  • ecological niche modeling

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