Ohio Amish may be disproportionately at risk for La Crosse virus infection
Chaney, M. E.; Bergey, C. M.
Show abstract
La Crosse virus (LACV) causes the majority of pediatric arboviral encephalitis cases in the United States, with Ohio historically reporting the highest incidence of LACV neuroinvasive disease (LACV-ND). To identify county-level risk factors, we analyzed two decades (2003-2023) of Ohio surveillance data across all 88 counties using spatial statistical methods. Land-use correlation screening identified deciduous forest cover ({rho} = 0.36, adjusted p = 0.006) and pasture/hay cover ({rho} = 0.37, adjusted p = 0.004) as significant environmental correlates. However, Amish population share emerged as a substantially stronger predictor ({rho} = 0.71, p << 0.001). Cases clustered in east-central Ohio, where Holmes County, home to the worlds second-largest Amish settlement, exhibited the highest statewide incidence. We fit a Spatial Durbin Model to decompose within-county (direct) and spillover (indirect) effects while controlling for spatial autocorrelation. Amish population share remained the sole significant predictor after adjusting for land use and spatial structure, with total effects ({beta} = 8.2) significantly larger than environmental variables (deciduous forest {beta} = 0.3, pasture/hay {beta} = -0.7). These findings indicate that Amish lifeways, potentially including occupational exposures, housing characteristics, or healthcare-seeking behaviors, represent critical but understudied LACV risk factors. Given the severe morbidity of pediatric LACV-ND and absence of vaccines, our results support targeted prevention efforts in Ohio Amish communities, contingent on culturally appropriate intervention strategies.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Low mammalian species richness is associated with Kyasanur Forest disease outbreak risk in deforested landscapes in the Western Ghats, India 92%
- The Rise of West Nile Virus in Southern andSoutheastern Europe: a spatial-temporal analysisinvestigating the combined effects of climate, land use and economic changes 92%
- Active surveillance of cats and dogs from households with human COVID-19 cases reveals over one quarter of pets infected with SARS-CoV-2 in 2020-2021 in Texas, United States 91%
Similar papers in this journal
- Using drivers and transmission pathways to identify SARS-like coronavirus spillover risk hotspots 94%
- Current Schistosoma mansoni exposure and infection have distinct determinants: a data-driven population-based study in rural Uganda 91%
- Tracking changes in SARS-CoV-2 transmission with a novel outpatient sentinel surveillance system in Chicago, USA 91%
Similar papers in this journal
- Dynamics of data availability in disease modeling: An example evaluating the trade-offs of ultra-fine-scale factors applied to human West Nile virus disease models in the Chicago area, USA 93%
- The drivers of West Nile virus human illness: fine scale dynamic effects of weather, mosquito infection, social, and biological conditions 93%
- From Concrete to Canopy: Illuminating Moth Biodiversity in New York City's Urban Jungle 92%
Similar papers in this journal
- Multiple spillovers and onward transmission of SARS-Cov-2 in free-living and captive White-tailed deer 92%
- White-tailed deer (Odocoileus virginianus) may serve as a wildlife reservoir for nearly extinct SARS-CoV-2 variants of concern 92%
- Incubation periods impact the spatial predictability of outbreaks: analysis of cholera and Ebola outbreaks in Sierra Leone 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.