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...
Main Authors: | , , , |
---|---|
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 |
id |
doaj-b514836fd51a4615b5c0993927cedf3c |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT michaelbhildreth spatiotemporalepidemiologyofhumanwestnilevirusdiseaseinsouthdakota AT lonkightlinger spatiotemporalepidemiologyofhumanwestnilevirusdiseaseinsouthdakota AT paollagiacomo spatiotemporalepidemiologyofhumanwestnilevirusdiseaseinsouthdakota AT michaelcwimberly spatiotemporalepidemiologyofhumanwestnilevirusdiseaseinsouthdakota |
_version_ |
1725390957730332672 |