ArticleParasites & vectors2014
Early warning of West Nile virus mosquito vector: climate and land use models successfully explain phenology and abundance of Culex pipiens mosquitoes in north-western Italy.
Article in Parasites & vectors, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effect of Climate Change on West Nile Virus Transmission in Italy: A Systematic Review.Public health reviews · 2025Pooled it
- A process-based model simulating the life-cycle of Culex pipiens s.s./Cx. torrentium (Diptera: Culicidae) in Germany.Parasites & vectors · 2026Article
- Meteorological and land-use determinants of Culex pipiens s.l. spatio-temporal dynamics in Northern Italy.Journal of medical entomology · 2026Article
- A data-parsimonious model for long-term risk assessments of West Nile virus spillover.Scientific reports · 2026Article
- Meteorological and environmental drivers of West Nile virus prevalence in Culex pipiens mosquitoes in Emilia-Romagna, Italy in 2013 to 2022.PLoS pathogens · 2025Article
- Lessons learned exploiting a multi-year large-scale data set derived from operational quality assessment of mosquito larval treatments in rain catch basins.Pest management science · 2025Article
- Predicting the Distribution ofJournal of arthropod-borne diseases · 2025Article
- Remote Sensing-Derived Environmental Variables to Estimate Transmission Risk and Predict Malaria Cases in Argentina: A Pre-Certification Study (1986-2005).Pathogens (Basel, Switzerland) · 2025Article
- Laboratory evidence on the vector competence of European field-captured Culex theileri for circulating West Nile virus lineages 1 and 2.Parasites & vectors · 2025Article
- Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model.Scientific reports · 2025Article
- Short-term effect of temperature and precipitation on the incidence of West Nile Neuroinvasive Disease in Europe: a multi-country case-crossover analysis.The Lancet regional health. Europe · 2025Article
- Environmental and geographical factors influence the occurrence and abundance of the southern house mosquito, Culex quinquefasciatus, in Hawai'i.Scientific reports · 2024Article
- SpottingFrontiers in veterinary science · 2024Article
- Diversity of biting midges, mosquitoes and sand flies at four dog shelters in rural and peri-urban areas of Central Morocco.Parasite (Paris, France) · 2024Article
- Quantifying the invasion risk of West Nile virus: Insights from a multi-vector and multi-host SEIR model.One health (Amsterdam, Netherlands) · 2023Article
- A systematic review of environmental factors related to WNV circulation in European and Mediterranean countries.One health (Amsterdam, Netherlands) · 2023Review
- Seasonal changes in the diversity, host preferences and infectivity of mosquitoes in two arbovirus-endemic regions of Costa Rica.Parasites & vectors · 2023Article
- Determinants of public interest in emerging and re-emerging arboviral diseases in Europe: A spatio-temporal analysis of cross-sectional time series data.Journal of preventive medicine and hygiene · 2022Article
- Culex pipiens distribution in Tunisia: Identification of suitable areas through Random Forest and MaxEnt approaches.Veterinary medicine and science · 2022Article
- Artificial intelligence to predict West Nile virus outbreaks with eco-climatic drivers.The Lancet regional health. Europe · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWest Nile Virus (WNV) is an emerging global health threat. Transmission risk is strongly related to the abundance of mosquito vectors, typically Culex pipiens in Europe. Early-warning predictors of mosquito population dynamics would therefore help guide entomological surveillance and thereby facilitate early warnings of transmission risk.
methodsWe analysed an 11-year time series (2001 to 2011) of Cx. pipiens mosquito captures from the Piedmont region of north-western Italy to determine the principal drivers of mosquito population dynamics. Linear mixed models were implemented to examine the relationship between Cx. pipiens population dynamics and environmental predictors including temperature, precipitation, Normalized Difference Water Index (NDWI) and the proximity of mosquito traps to urban areas and rice fields.
resultsWarm temperatures early in the year were associated with an earlier start to the mosquito season and increased season length, and later in the year, with decreased abundance. Early precipitation delayed the start and shortened the length of the mosquito season, but increased total abundance. Conversely, precipitation later in the year was associated with a longer season. Finally, higher NDWI early in the year was associated with an earlier start to the season and increased season length, but was not associated with abundance. Proximity to rice fields predicted higher total abundance when included in some models, but was not a significant predictor of phenology. Proximity to urban areas was not a significant predictor in any of our models. Predicted variations in start of the season and season length ranged from one to three weeks, across the measured range of variables. Predicted mosquito abundance was highly variable, with numbers in excess of 1000 per trap per year when late season temperatures were low (average 21°C) to only 150 when late season temperatures were high (average 30°C).
conclusionsClimate data collected early in the year, in conjunction with local land use, can be used to provide early warning of both the timing and magnitude of mosquito outbreaks. This potentially allows targeted mosquito control measures to be implemented, with implications for prevention and control of West Nile Virus and other mosquito borne diseases.
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