Literature DB >> 21485391

The impact of weather conditions on Culex pipiens and Culex restuans (Diptera: Culicidae) abundance: a case study in Peel Region.

Jiafeng Wang1, Nick H Ogden, Huaiping Zhu.   

Abstract

Mosquito populations are sensitive to long-term variations in climate and short-term variations in weather. Mosquito abundance is a key determinant of outbreaks of mosquito-borne diseases, such as West Nile virus (WNV). In this work, the short-term impact of weather conditions (temperature and precipitation) on Culex pipiens L.-Culex restuans Theobald mosquito abundance in Peel Region, Ontario, Canada, was investigated using the 2002-2009 mosquito data collected from the WNV surveillance program managed by Ontario Ministry of Health and Long-Term Care and a gamma-generalized linear model. There was a clear association between weather conditions (temperature and precipitation) and mosquito abundance, which allowed the definition of threshold criteria for temperature and precipitation conditions for mosquito population growth. A predictive statistical model for mosquito population based on weather conditions was calibrated using real weather and mosquito surveillance data, and validated using a subset of surveillance data. Results showed that WNV vector abundance on any one day could be predicted with reasonable accuracy from relationships with mean degree-days >9 degrees C over the 11 preceding days, and precipitation 35 d previously. This finding provides optimism for the development of weather-generated forecasting for WNV risk that could be used in decision support systems for interventions such as mosquito control.

Entities:  

Mesh:

Year:  2011        PMID: 21485391     DOI: 10.1603/me10117

Source DB:  PubMed          Journal:  J Med Entomol        ISSN: 0022-2585            Impact factor:   2.278


  25 in total

1.  Weather-based forecasting of mosquito-borne disease outbreaks in Canada.

Authors:  N H Ogden; L R Lindsay; A Ludwig; A P Morse; H Zheng; H Zhu
Journal:  Can Commun Dis Rep       Date:  2019-05-02

2.  Modeling Spatiotemporal Distribution of Mosquitoes Abundance With Unobservable Environmental Factors.

Authors:  Longbin Chen; Huaiping Zhu; Xiaogang Wang
Journal:  J Med Entomol       Date:  2019-01-08       Impact factor: 2.278

3.  Can local risk of West Nile virus infection be predicted from previous cases? A descriptive study in Quebec, 2011-2016.

Authors:  Jean-Philippe Rocheleau; Serge-Olivier Kotchi; Julie Arsenault
Journal:  Can J Public Health       Date:  2020-02-04

4.  Mathematical assessment of the role of temperature and rainfall on mosquito population dynamics.

Authors:  Ahmed Abdelrazec; Abba B Gumel
Journal:  J Math Biol       Date:  2016-09-19       Impact factor: 2.259

5.  Culex Flavivirus During West Nile Virus Epidemic and Interepidemic Years in Chicago, United States.

Authors:  Christina M Newman; Bethany L Krebs; Tavis K Anderson; Gabriel L Hamer; Marilyn O Ruiz; Jeffrey D Brawn; William M Brown; Uriel D Kitron; Tony L Goldberg
Journal:  Vector Borne Zoonotic Dis       Date:  2017-06-19       Impact factor: 2.133

6.  Free boundary models for mosquito range movement driven by climate warming.

Authors:  Wendi Bao; Yihong Du; Zhigui Lin; Huaiping Zhu
Journal:  J Math Biol       Date:  2017-07-19       Impact factor: 2.259

7.  Effects of Elevated Temperatures on the Growth and Development of Adult Anopheles gambiae (s.l.) (Diptera: Culicidae) Mosquitoes.

Authors:  Thomas P Agyekum; John Arko-Mensah; Paul K Botwe; Jonathan N Hogarh; Ibrahim Issah; Duah Dwomoh; Maxwell K Billah; Samuel K Dadzie; Thomas G Robins; Julius N Fobil
Journal:  J Med Entomol       Date:  2022-07-13       Impact factor: 2.435

8.  Soft Computing of a Medically Important Arthropod Vector with Autoregressive Recurrent and Focused Time Delay Artificial Neural Networks.

Authors:  Petros Damos; José Tuells; Pablo Caballero
Journal:  Insects       Date:  2021-05-31       Impact factor: 2.769

9.  Predicting Culex pipiens/restuans population dynamics by interval lagged weather data.

Authors:  Karin Lebl; Katharina Brugger; Franz Rubel
Journal:  Parasit Vectors       Date:  2013-05-02       Impact factor: 3.876

10.  Forecast of dengue incidence using temperature and rainfall.

Authors:  Yien Ling Hii; Huaiping Zhu; Nawi Ng; Lee Ching Ng; Joacim Rocklöv
Journal:  PLoS Negl Trop Dis       Date:  2012-11-29
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