ArticleTropical medicine and infectious disease2020
Disease Ecology of Rickettsial Species: A Data Science Approach.
Article in Tropical medicine and infectious disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Bacterial communities in Thai ticks: revealing geographical and methodological gaps in surveillance-a 25-year scoping review.Tropical medicine and health · 2026Review
- Ecologic and Sociodemographic Factors Associated with Seroprevalence ofEpidemiologia (Basel, Switzerland) · 2026Article
- Seroepidemiology of Rickettsia conorii in dogs in Portugal: a comprehensive 12-year retrospective study (2013-2024).Parasites & vectors · 2025Article
- SFG and TG seropositivity in Humans suspected of TBD in Yucatan, Mexico.Epidemiology and infection · 2025Article
- Article
- Risk factors analysis for neglected human rickettsioses in rural communities in Nan province, Thailand: A community-based observational study along a landscape gradient.PLoS neglected tropical diseases · 2022Observational
- A roadmap towards predicting species interaction networks (across space and time).Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present an approach to assess the disease ecology of rickettsial species by investigating open databases and by using data science methodologies. First, we explored the epidemiological trend and changes of human rickettsial disease epidemics over the years and compared this trend with knowledge on emerging rickettsial diseases given by published reviews. Second, we investigated the global diversity of rickettsial species recorded in humans, domestic animals and wild mammals, using the Enhanced Infectious Disease Database (EID2) and employing a network analysis approach to represent and quantify transmission ecology of rickettsial species among their carriers, arthropod vectors or mammal reservoirs and humans. Our results confirmed previous studies that emphasized the increasing incidence in rickettsial diseases at the onset of 1970. Using the Global Infectious Diseases and Epidemiology Online Network (GIDEON) database, it was even possible to date the start of this increase of global outbreaks in rickettsial diseases in 1971. Network analysis showed the importance of domestic animals and peridomestic mammals in sharing rickettsial diseases with humans and other wild animals, acting as important hubs or connectors for rickettsial transmission.
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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.