Spatio-Temporal Epidemiology of Human West Nile Virus Disease in South Dakota

Despite a cold temperate climate and low human population density, the Northern Great Plains has become a persistent hot spot for human West Nile virus (WNV) disease in North America. Understanding the spatial and temporal patterns of WNV can provide insights into the epidemiological and ecological...

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Main Authors: Michael B. Hildreth, Lon Kightlinger, Paolla Giacomo, Michael C. Wimberly
Format: Article
Language:English
Published: MDPI AG 2013-10-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:http://www.mdpi.com/1660-4601/10/11/5584
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spelling doaj-b514836fd51a4615b5c0993927cedf3c2020-11-25T00:14:21ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012013-10-0110115584560210.3390/ijerph10115584Spatio-Temporal Epidemiology of Human West Nile Virus Disease in South DakotaMichael B. HildrethLon KightlingerPaolla GiacomoMichael C. WimberlyDespite a cold temperate climate and low human population density, the Northern Great Plains has become a persistent hot spot for human West Nile virus (WNV) disease in North America. Understanding the spatial and temporal patterns of WNV can provide insights into the epidemiological and ecological factors that influence disease emergence and persistence. We analyzed the 1,962 cases of human WNV disease that occurred in South Dakota from 2002–2012 to identify the geographic distribution, seasonal cycles, and interannual variability of disease risk. The geographic and seasonal patterns of WNV have changed since the invasion and initial epidemic in 2002–2003, with cases shifting toward the eastern portion of South Dakota and occurring earlier in the transmission season in more recent years. WNV cases were temporally autocorrelated at lags of up to six weeks and early season cumulative case numbers were correlated with seasonal totals, indicating the possibility of using these data for short-term early detection of outbreaks. Epidemiological data are likely to be most effective for early warning of WNV virus outbreaks if they are integrated with entomological surveillance and environmental monitoring to leverage the strengths and minimize the weaknesses of each information source.http://www.mdpi.com/1660-4601/10/11/5584West Nile virusdisease mapseasonalityearly detectionclimatephysiography
collection DOAJ
language English
format Article
sources DOAJ
author Michael B. Hildreth
Lon Kightlinger
Paolla Giacomo
Michael C. Wimberly
spellingShingle Michael B. Hildreth
Lon Kightlinger
Paolla Giacomo
Michael C. Wimberly
Spatio-Temporal Epidemiology of Human West Nile Virus Disease in South Dakota
International Journal of Environmental Research and Public Health
West Nile virus
disease map
seasonality
early detection
climate
physiography
author_facet Michael B. Hildreth
Lon Kightlinger
Paolla Giacomo
Michael C. Wimberly
author_sort Michael B. Hildreth
title Spatio-Temporal Epidemiology of Human West Nile Virus Disease in South Dakota
title_short Spatio-Temporal Epidemiology of Human West Nile Virus Disease in South Dakota
title_full Spatio-Temporal Epidemiology of Human West Nile Virus Disease in South Dakota
title_fullStr Spatio-Temporal Epidemiology of Human West Nile Virus Disease in South Dakota
title_full_unstemmed Spatio-Temporal Epidemiology of Human West Nile Virus Disease in South Dakota
title_sort spatio-temporal epidemiology of human west nile virus disease in south dakota
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1660-4601
publishDate 2013-10-01
description Despite a cold temperate climate and low human population density, the Northern Great Plains has become a persistent hot spot for human West Nile virus (WNV) disease in North America. Understanding the spatial and temporal patterns of WNV can provide insights into the epidemiological and ecological factors that influence disease emergence and persistence. We analyzed the 1,962 cases of human WNV disease that occurred in South Dakota from 2002–2012 to identify the geographic distribution, seasonal cycles, and interannual variability of disease risk. The geographic and seasonal patterns of WNV have changed since the invasion and initial epidemic in 2002–2003, with cases shifting toward the eastern portion of South Dakota and occurring earlier in the transmission season in more recent years. WNV cases were temporally autocorrelated at lags of up to six weeks and early season cumulative case numbers were correlated with seasonal totals, indicating the possibility of using these data for short-term early detection of outbreaks. Epidemiological data are likely to be most effective for early warning of WNV virus outbreaks if they are integrated with entomological surveillance and environmental monitoring to leverage the strengths and minimize the weaknesses of each information source.
topic West Nile virus
disease map
seasonality
early detection
climate
physiography
url http://www.mdpi.com/1660-4601/10/11/5584
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AT michaelcwimberly spatiotemporalepidemiologyofhumanwestnilevirusdiseaseinsouthdakota
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