Teen Births in South Dakota, 2006-2014

According to the Office of Adolescent Health at the U.S. Department of Health & Human Services, the teen birth rate in the U.S. has dropped continuously over the past 20 years and dropped 10% nationwide between 2012 and 2013. In 2013, about 273,000 babies were born nationally to adolescent teens aged 15-19 years for a rate of 26.5/1,000 adolescent females. According to the data from the World Bank, the U.S. teen birth rate in 2010-14 was higher than that of many developed countries, including Canada, Japan, Australia, and the majority of European countries. Teen pregnancies are associated with negative outcomes for the mother, child, and society

If you find a dead bird— and wonder if it has the bird flu virus

South Dakotans have been vigilant, sending dead blue jays, magpies, crows, hawks, owls, and eagles into the South Dakota Department of Health, seeking to know if the birds died fromWest Nile virus (WNV). We can stop looking. WNV is in South Dakota to stay. There is nothing further we can learn from testing birds forWNV. Therefore, if you find an individual dead blue jay, magpie, or crow, dispose of the bird, taking the safety precautions listed on the next page. But we cannot let down our guard. Birds are considered to be reservoirs for almost all influenza virsues, and occasionally a lethal new virus comes along. We must be on the lookout for a new avian influenza virus known as Asian High Path H5N1 in wild birds, particularly if we come across groups of dead ducks, geese, pheasants, chickens, or turkeys

Ecological Niche of the 2003 West Nile Virus Epidemic in the Northern Great Plains of the United States

Background: The incidence of West Nile virus (WNv) has remained high in the northern Great Plains compared to the rest of the United States. However, the reasons for the sustained high risk of WNv transmission in this region have not been determined. To assess the environmental drivers of WNv in the northern Great Plains, we analyzed the county-level spatial pattern of human cases during the 2003 epidemic across a seven-state region. Methodology/Principal Findings: County-level data on WNv cases were examined using spatial cluster analysis, and were used to fit statistical models with weather, climate, and land use variables as predictors. In 2003 there was a single large cluster of elevated WNv risk encompassing North Dakota, South Dakota, and Nebraska along with portions of eastern Montana and Wyoming. The relative risk of WNv remained high within the boundaries of this cluster from 2004–2007. WNv incidence during the 2003 epidemic was found to have a stronger relationship with long-term climate patterns than with annual weather in either 2002 or 2003. WNv incidence increased with mean May–July temperature and had a unimodal relationship with total May–July precipitation. WNv incidence also increased with the percentage of irrigated cropland and with the percentage of the human population living in rural areas. Conclusions/Significance: The spatial pattern of WNv cases during the 2003 epidemic in the northern Great Plains was associated with both climatic gradients and land use patterns. These results were interpreted as evidence that environmental conditions across much of the northern Great Plains create a favorable ecological niche for Culex tarsalis, a particularly efficient vector of WNv. Further research is needed to determine the proximal causes of sustained WNv transmission and to enhance strategies for disease prevention

Restaurant outbreak of Legionnaires' disease associated with a decorative fountain: an environmental and case-control study

BACKGROUND: From June to November 2005, 18 cases of community-acquired Legionnaires' disease (LD) were reported in Rapid City South Dakota. We conducted epidemiologic and environmental investigations to identify the source of the outbreak. METHODS: We conducted a case-control study that included the first 13 cases and 52 controls randomly selected from emergency department records and matched on underlying illness. We collected information about activities of case-patients and controls during the 14 days before symptom onset. Environmental samples (n = 291) were cultured for Legionella. Clinical and environmental isolates were compared using monoclonal antibody subtyping and sequence based typing (SBT). RESULTS: Case-patients were significantly more likely than controls to have passed through several city areas that contained or were adjacent to areas with cooling towers positive for Legionella. Six of 11 case-patients (matched odds ratio (mOR) 32.7, 95% CI 4.7-infinity) reported eating in Restaurant A versus 0 controls. Legionella pneumophila serogroup 1 was isolated from four clinical specimens: 3 were Benidorm type strains and 1 was a Denver type strain. Legionella were identified from several environmental sites including 24 (56%) of 43 cooling towers tested, but only one site, a small decorative fountain in Restaurant A, contained Benidorm, the outbreak strain. Clinical and environmental Benidorm isolates had identical SBT patterns. CONCLUSION: This is the first time that small fountain without obvious aerosol-generating capability has been implicated as the source of a LD outbreak. Removal of the fountain halted transmission

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 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

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 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

Trend surface models of 2003 WNv cases as a function of temperature and precipitation.

<p><i>t</i> = mean May–July temperature, <i>p</i> = total May–July precipitation, <i>σ_ρ</i> = standard deviation of the spatial random effect.</p>*<p>statistically significant at the <i>p</i> = 0.05 level.</p

Incidence of WNv expressed as the number of annual cases per 100,000 people.

<p>The boundaries of the 2003 cluster were determined using a spatial scan statistic.</p