ArticleScientific reports2019
Spatial dynamics of a zoonotic orthohantavirus disease through heterogenous data on rodents, rodent infections, and human disease.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Surveillance of Zoonotic Pathogens in Small Mammals Across Forests With Different Levels of Anthropization in Eastern France.Transboundary and emerging diseases · 2026Article
- Impact of Environmental Factors on the Distribution Patterns of Nephropathia Epidemica Cases in Western Europe.Environmental health perspectives · 2025Article
- Ecological determinants driving orthohantavirus prevalence in small mammals of Europe: a systematic review.One health outlook · 2025Review
- High-resolution early warning system for human Puumala hantavirus infection risk in Germany.Scientific reports · 2024Article
- A broad wastewater screening and clinical data surveillance for virus-related diseases in the metropolitan Detroit area in Michigan.Human genomics · 2024Article
- Machine learning identifies straightforward early warning rules for human Puumala hantavirus outbreaks.Scientific reports · 2023Article
- Impact of Landscape on Host-Parasite Genetic Diversity and Distribution Using theMicroorganisms · 2021Article
- Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study.Scientific reports · 2021Article
- Spatial and Temporal Evolutionary Patterns in Puumala Orthohantavirus (PUUV) S Segment.Pathogens (Basel, Switzerland) · 2020Article
- On the Doorstep, Rodents in Homesteads and Kitchen Gardens.Animals : an open access journal from MDPI · 2020Article
- Genomic Epidemiology and Active Surveillance to Investigate Outbreaks of Hantaviruses.Frontiers in cellular and infection microbiology · 2020Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Zoonotic diseases are challenging to study from the ecological point of view as, broadly speaking, datasets tend to be either detailed on a small spatial extent, or coarse on a large spatial extent. Also, there are many ways to assess zoonotic disease transmission systems, from pathogens to hosts to humans. We explore the complementarity of datasets considering the pathogen in its host, the host and human cases in the context of Puumala orthohantavirus infection in Germany. We selected relevant environmental predictors using a conceptual framework based on resource-based habitats. This framework assesses the functions, and associated environmental resources of the pathogen and associated host. A resource-based habitat framework supports variable selection and result interpretation. Multiplying 'keyholes' to view a zoonotic disease transmission system is valuable, but requires a strong conceptual framework to select and interpret environmental explanatory variables. This study highlights the usefulness of a structured, ecology-based approach to study drivers of zoonotic diseases at the level of virus, host, and human - not only for PUUV but also for other zoonotic pathogens. Our results show that human disease cases are best explained by a combination of variables related to zoonotic pathogen circulation and human exposure.
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