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

Bibliographic Data

ID15508338
AuthorsMichael C Wimberly (0000-0003-1549-3891, South Dakota State University, corresponding author), Paolla Giacomo (South Dakota State University), Lon Kightlinger (South Dakota Department of Health), Michael B Hildreth (0000-0002-6822-0718, South Dakota State University), Michael Hildreth (Departments of Biology & Microbiology and Veterinary & Biomedical Sciences, South Dakota State University, Brookings, SD 57007, USA)
Year2013
Volume10
Issue11
Pages5584-5602
Publication date2013-10-29
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph10115584
PMID24173141
PMCIDPMC3863861
OpenAlexW1989675952
LanguageEN
Citations received5
References cited31

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

Biology · Disease surveillance · Environmental health · Geography · Outbreak · Population · Spatial epidemiology · Temperate climate · Virus · West Nile virus · COVID-19 epidemiological studies · Medicine · Mosquito-borne diseases and control · Viral Infections and Vectors · Ecology · Epidemiology · Virology

Tools

Open DOISci-HubOpen Access