Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques.

Journal: Parasites & vectors
PMID:

Abstract

BACKGROUND: Mosquito-borne diseases cause millions of deaths each year and are increasingly spreading from tropical and subtropical regions into temperate zones, posing significant public health risks. In the Basque Country region of Spain, changing climatic conditions have driven the spread of invasive mosquitoes, increasing the potential for local transmission of diseases such as dengue, Zika, and chikungunya. The establishment of mosquito species in new areas, coupled with rising mosquito populations and viremic imported cases, presents challenges for public health systems in non-endemic regions.

Authors

  • Vanessa Steindorf
    M3A, Basque Center for Applied Mathematics, Mazarredo 14, 48009, Bilbao, Bizkaia, Spain. vsteindorf@bcamath.org.
  • Hamna Mariyam K B
    School of Data Analytics, Mahatma Gandhi University, Kottayam, India.
  • Nico Stollenwerk
    M3A, Basque Center for Applied Mathematics, Mazarredo 14, 48009, Bilbao, Bizkaia, Spain.
  • Aitor Cevidanes
    Animal Health Department, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), 48160, Derio, Bizkaia, Spain. acevidanes@neiker.eus.
  • Jesús F Barandika
    Animal Health Department, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), 48160, Derio, Bizkaia, Spain.
  • Patricia Vazquez
    Animal Health Department, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), 48160, Derio, Bizkaia, Spain.
  • Ana L García-Pérez
    Animal Health Department, NEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), 48160, Derio, Bizkaia, Spain.
  • Maíra Aguiar
    M3A, Basque Center for Applied Mathematics, Mazarredo 14, 48009, Bilbao, Bizkaia, Spain.