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Environmental and geographical factors influence the occurrence and abundance of the southern house mosquito, Culex quinquefasciatus, in Hawai'i.
Villena, Oswaldo C; McClure, Katherine M; Camp, Richard J; LaPointe, Dennis A; Atkinson, Carter T; Sofaer, Helen R; Berio Fortini, Lucas.
Afiliación
  • Villena OC; Hawai'i Cooperative Studies Unit, University of Hawai'i at Hilo, Hilo, HI, 96720, USA.
  • McClure KM; The Earth Commons Institute, Georgetown University, Washington, DC, 20057, USA.
  • Camp RJ; Hawai'i Cooperative Studies Unit, University of Hawai'i at Hilo, Hilo, HI, 96720, USA.
  • LaPointe DA; U.S. Geological Survey, Pacific Island Ecosystems Research Center, Hawai'i National Park, HI, 96718, USA.
  • Atkinson CT; U.S. Geological Survey, Pacific Island Ecosystems Research Center, Hawai'i National Park, HI, 96718, USA.
  • Sofaer HR; U.S. Geological Survey, Pacific Island Ecosystems Research Center, Hawai'i National Park, HI, 96718, USA.
  • Berio Fortini L; U.S. Geological Survey, Pacific Island Ecosystems Research Center, Hawai'i National Park, HI, 96718, USA.
Sci Rep ; 14(1): 604, 2024 01 05.
Article en En | MEDLINE | ID: mdl-38182650
ABSTRACT
Hawaiian honeycreepers, a group of endemic Hawaiian forest birds, are being threatened by avian malaria, a non-native disease that is driving honeycreepers populations to extinction. Avian malaria is caused by the parasite Plasmodium relictum, which is transmitted by the invasive mosquito Culex quinquefasciatus. Environmental and geographical factors play an important role in shaping mosquito-borne disease transmission dynamics through their influence on the distribution and abundance of mosquitoes. We assessed the effects of environmental (temperature, precipitation), geographic (site, elevation, distance to anthropogenic features), and trap type (CDC light trap, CDC gravid trap) factors on mosquito occurrence and abundance. Occurrence was analyzed using classification and regression tree models (CART) and generalized linear models (GLM); abundance (count data) was analyzed using generalized linear mixed models (GLMMs). Models predicted highest mosquito occurrence at mid-elevation sites and between July and November. Occurrence increased with temperature and precipitation up to 580 mm. For abundance, the best model was a zero-inflated negative-binomial model that indicated higher abundance of mosquitoes at mid-elevation sites and peak abundance between August and October. Estimation of occurrence and abundance as well as understanding the factors that influence them are key for mosquito control, which may reduce the risk of forest bird extinction.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Culex / Malaria Aviar Tipo de estudio: Prognostic_studies Límite: Animals País/Región como asunto: America do norte Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Culex / Malaria Aviar Tipo de estudio: Prognostic_studies Límite: Animals País/Región como asunto: America do norte Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos