Evidence map›Paper›PMID 41193551›Full record

ArticleScientific reports2025

Reservoir host community and vector density predict human tick-borne diseases across the Eastern United States.

Paulo Mateus Martins, Michael B Mahon, Jason R Rohr

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Review
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

3 authors.

Paulo Mateus Martins *Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA. paulomateusms@gmail.com.
Michael B Mahon *Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.
Jason R RohrDepartment of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tick-borne disease (TBD) incidence is rising globally, underscoring the need for prevention strategies that consider ecological drivers of transmission. We analyzed associations between human reported cases of four TBDs and ecological and climatic factors across 24 eastern U.S. counties. Mean reported cases per 100,000 people were 0.0274 for Lyme disease, 0.0045 for anaplasmosis, 0.0012 for ehrlichiosis, and 0.0005 for babesiosis. Babesiosis was negatively associated with mean annual temperature, whereas ehrlichiosis increased with nymphal tick density. Anaplasmosis was positively linked to tick density, with the abundance of competent hosts mediating the effects of small-mammal richness. Lyme disease was positively associated with deer density and negatively associated with precipitation, temperature, and small-mammal richness. We also found a positive interaction between competent host abundance and tick density as drivers of Lyme disease. Our results support the dilution-effect hypothesis for Lyme disease and a mediating effect of host composition for anaplasmosis dilution or amplification. Our findings highlight that ecological context strongly shapes TBD risk, suggesting that the effectiveness of intervention strategies depends on interactions among ticks, hosts, and climate.

Indexed as

Arachnid VectorsDisease ReservoirsTick-Borne DiseasesAnaplasmosisAnimalsBabesiosisDeerEhrlichiosisHumansIncidenceLyme DiseaseTicksUnited StatesDisease ecologyDiversity-diseaseReservoir community competenceTick-borne diseaseZoonoses

Identifiers

PMID41193551
PMCPMC12589401

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.