Evidence map›Paper›PMID 41772115›Full record

ArticleCommunications medicine2026

Ecological and socioeconomic factors associated with globally reported tick-borne viruses.

Samantha Sambado, Sadie J Ryan

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Samantha SambadoDepartment of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, Santa Barbara, CA, USA. sbsambado@ucsb.edu.ORCID http://orcid.org/0000-0002-2594-3641
Sadie J RyanQuantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, USA.ORCID http://orcid.org/0000-0002-4308-6321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic health resources are often allocated based on reported disease cases. However, for under-recognized infectious diseases such as tick-borne viruses, risk assessments should also account for ecological and socioeconomic factors that influence disease case reporting. This study identifies country-level predictors of tick-borne virus reporting and evaluates whether wealthier nations are more likely to report resource-intensive cases.

methodsWe applied boosted regression trees, a robust machine learning algorithm, to a comprehensive global database of tick-borne viruses and 24 environmental and socioeconomic variables.

resultsCountries with lower income inequality and greater expertise in verterinary, agricultural, or forestry sectors are more likely to report tick-borne virus cases. Wealthier nations with stronger institutional and professional capacity exhibit higher reporting rates, whereas countries affected by conflict or limited health infrastructure show underreporting. Climatic factors, particularly subartic environments, also contribute to reporting likelihood, complementing the effects of socioeconomic drivers.

conclusionsDisease reporting is shaped by both ecological context and socioeconomic capacity. Strengthening surveillance through targeted resource allocation and better integration of veterinary and public health expertise under the One Health framework could enhance global tick-borne disease mitigation. These findings provide valuable evidence to support the World Health Organization's Global Arbovirus Initiative and emphasize the need for equitable disease surveillance across regions.

Identifiers

PMID41772115
PMCPMC13069038

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LicenceCC BY
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Registered trials

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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.