ArticleParasites & vectors2018
Environmental and social-demographic predictors of the southern house mosquito Culex quinquefasciatus in New Orleans, Louisiana.
Article in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Integrating Wind Speed Into Climate-Based West Nile Virus Models: A Comparative Analysis in Two Distinct Regions.GeoHealth · 2025Article
- Mosquito Population Dynamics and Blood Host Associations in Two Types of Urban Greenspaces in Coastal Florida.Insects · 2025Article
- Spatial dynamics of Culex quinquefasciatus abundance: geostatistical insights from Harris County, Texas.International journal of health geographics · 2024Article
- Article
- Effects of Hurricane Irma on mosquito abundance and species composition in a metropolitan Gulf coastal city, 2016-2018.Scientific reports · 2024Article
- Environmental and geographical factors influence the occurrence and abundance of the southern house mosquito, Culex quinquefasciatus, in Hawai'i.Scientific reports · 2024Article
- Regional variation in the landscape ecology of West Nile virus sentinel chicken seroconversion in Florida.PloS one · 2024Article
- Effects of seasonality and developed land cover onFrontiers in microbiology · 2024Article
- Relative Influence of Land Use, Mosquito Abundance, and Bird Communities in Defining West Nile Virus Infection Rates inInsects · 2022Article
- Using machine learning to understand microgeographic determinants of the Zika vector, Aedes aegypti.PloS one · 2022Article
- Article
- Habitat Segregation Patterns of Container Breeding Mosquitos: The Role of Urban Heat Islands, Vegetation Cover, and Income Disparity in Cemeteries of New Orleans.International journal of environmental research and public health · 2021Article
- A proposed framework for the development and qualitative evaluation of West Nile virus models and their application to local public health decision-making.PLoS neglected tropical diseases · 2021Review
- Fighting mosquito bite during a crisis: capabilities of Florida mosquito control districts during the COVID-19 pandemic.BMC public health · 2021Article
- Mosquito Vector Production across Socio-Economic Divides in Baton Rouge, Louisiana.International journal of environmental research and public health · 2021Article
- Comparison of climatic factors on mosquito abundance at US Army Garrison Humphreys, Republic of Korea.PloS one · 2020Article
- Use of MALDI-TOF MS for the Identification of Chad Mosquitoes and the Origin of Their Blood Meal.The American journal of tropical medicine and hygiene · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUnderstanding the major predictors of disease vectors such as mosquitoes can guide the development of effective and timely strategies for mitigating vector-borne disease outbreaks. This study examined the influence of selected environmental, weather and sociodemographic factors on the spatial and temporal distribution of the southern house mosquito Culex quinquefasciatus Say in New Orleans, Louisiana, USA.
methodsAdult mosquitoes were collected over a 4-year period (2006, 2008, 2009 and 2010) using CDC gravid traps. Socio-demographic predictors were obtained from the United States Census Bureau, 2005-2009 American Community Survey and the City of New Orleans Department of Code Enforcement. Linear mixed effects models and ERDAS image processing software were used for statistical analysis and image processing.
resultsOnly two of the 22 predictors examined were significant predictors of Cx. quinquefasciatus abundance. Mean temperature during the week of mosquito collection was positively associated with Cx. quinquefasciatus abundance while developed high intensity areas were negatively associated with Cx. quinquefasciatus abundance.
conclusionThe findings of this study illustrate the power and utility of integrating biophysical and sociodemographic data using GIS analysis to identify the biophysical and sociodemographic processes that increase the risk of vector mosquito abundance. This knowledge can inform development of accurate predictive models that ensure timely implementation of mosquito control interventions.
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