Open AccessA meteorological-based forecasting model for predicting minimal infection rates in Culex pipiens-restuans complex using Québec’s West Nile virus integrated surveillance system
Author(s) -
Julie Ducrocq,
Karl Forest-Bérard,
Najwa Ouhoummane,
Elhadji Laouan Sidi,
Antoinette Ludwig,
Alejandra Irace-Cima
Publication year - 2022
Publication title -
canada communicable disease report
Language(s) - English
Resource type - Journals
eISSN - 1481-8531
pISSN - 1188-4169
DOI - 10.14745/ccdr.v48i05a03
Subject(s) - culex pipiens , west nile virus , proxy (statistics) , outbreak , dry season , environmental science , statistics , demography , geography , biology , ecology , cartography , mathematics , virology , virus , sociology , larva
The ministère de la Santé et des Services sociaux (MSSS) du Québec (Québec's health authority) has expressed an interest in the development of an early warning tool to identify seasonal human outbreaks of West Nile virus infection in order to modulate public health interventions. The objective of this study was to determine if a user-friendly meteorological-based forecasting tool could be used to predict minimal infection rates for the Culex pipiens-restuans complex-a proxy of human risk-ahead of mosquito season.