NDLI: Environmental and social-demographic predictors of the southern house mosquito Culex quinquefasciatus in New Orleans, Louisiana

Content Provider	Springer Nature : BioMed Central
Author	Moise, Imelda K. Riegel, Claudia Muturi, Ephantus J.
Abstract	Background Understanding 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. Methods Adult 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. Results Only 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. Conclusion The 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.
Related Links	https://parasitesandvectors.biomedcentral.com/counter/pdf/10.1186/s13071-018-2833-5.pdf
Ending Page	8
Page Count	8
Starting Page	1
File Format	HTM / HTML
ISSN	17563305
DOI	10.1186/s13071-018-2833-5
Journal	Parasites & Vectors
Issue Number	1
Volume Number	11
Language	English
Publisher	BioMed Central
Publisher Date	2018-04-17
Access Restriction	Open
Subject Keyword	Parasitology Entomology Tropical Medicine Infectious Diseases Veterinary Medicine Veterinary Science Virology GIS Remote sensing New Orleans Mosquitoes Hurricane Katrina Veterinary Medicine/Veterinary Science
Content Type	Text
Resource Type	Article
Subject	Veterinary Infectious Diseases Parasitology
Journal Impact Factor	3/2023
5-Year Journal Impact Factor	3.3/2023

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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