ArticleEpidemiology and infection2014
Social-ecological factors determine spatial variation in human incidence of tick-borne ehrlichiosis.
Article in Epidemiology and infection, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- High seroprevalence, clinical predictors, and epidemiological risk factors ofVeterinary world · 2025Article
- Seroprevalence and Risk Factor for Canine Tick-Borne Disease in Urban-Rural Area in Ayacucho, Peru.Tropical medicine and infectious disease · 2025Article
- Infections by Ehrlichia spp., Anaplasma spp. and Babesia spp. In Puerto Ordaz, Bolívar, VenezuelaBiomedica : revista del Instituto Nacional de Salud · 2025Article
- Impact of climate change on the tick-host-pathogen complex: distribution patterns, disease incidence, and host infestation.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2025Review
- A social-ecological systems approach to tick bite and tick-borne disease risk management: Exploring collective action in the Occitanie region in southern France.One health (Amsterdam, Netherlands) · 2023Review
- Seroprevalence canine survey for selected vector-borne pathogens and its relationship with poverty in metropolitan Pereira, Colombia, 2020.Parasite epidemiology and control · 2022Article
- Spatio-Temporal Dynamics of Tick-Borne Diseases in North-Central Wisconsin from 2000-2016.International journal of environmental research and public health · 2020Article
- Seasonality and trends in incidence of human ehrlichiosis in two Missouri ecoregions.Epidemiology and infection · 2019Article
- Large-scale health disparities associated with Lyme disease and human monocytic ehrlichiosis in the United States, 2007-2013.PloS one · 2018Article
- Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China.International journal of environmental research and public health · 2017Article
- Exposure to Ticks and their Pathogens in Northeast Missouri.Missouri medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spatial distribution of human cases of tick-borne diseases is probably determined by a combination of biological and socioeconomic factors. A zoonotic tick-borne pathogen, Ehrlichia chaffeensis, is increasing in human incidence in the USA. In this study, the spatial patterns of probable and confirmed E. chaffeensis-associated cases of ehrlichiosis from 2000 to 2011 were investigated at the zip-code level in Missouri. We applied spatial statistics, including global and local regression models, to investigate the biological and socioeconomic factors associated with human incidence. Our analysis confirms that the distribution of ehrlichiosis in Missouri is non-random, with numerous clusters of high incidence. Furthermore, we identified significant, but spatially variable, associations between incidence and both biological and socioeconomic factors, including a positive association with reservoir host density and a negative association with human population density. Improved understanding of local variation in these spatial factors may facilitate targeted interventions by public health authorities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.