Evidence map›Paper›PMID 38704455›Full record

ArticleEcoHealth2024

Opposing Patterns of Spatial Synchrony in Lyme Disease Incidence.

Asad E Ali, Allison M Gardner, Herman H Shugart, Jonathan A Walter

Abstract read
In one paragraph

Article in EcoHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Asad E AliDepartment of Environmental Sciences, University of Virginia, 291 McCormick Road, Charlottesville, VA, 22903, USA. asadeali10@gmail.com.
Allison M GardnerSchool of Biology and Ecology, University of Maine, 5722 Deering Hall, Orono, ME, 04469, USA.
Herman H ShugartDepartment of Environmental Sciences, University of Virginia, 291 McCormick Road, Charlottesville, VA, 22903, USA.
Jonathan A WalterDepartment of Environmental Sciences, University of Virginia, 291 McCormick Road, Charlottesville, VA, 22903, USA.

Funding

Maine Agricultural and Forest Experiment Station ME021905Maine Agricultural and Forest Experiment Station ME032025
6 · The paper itself

Abstract

Incidence of Lyme disease, a tick-borne illness prevalent in the US, is increasing in endemic regions and regions with no previous history of the disease, significantly impacting public health. We examined space-time patterns of Lyme disease incidence and the influence of ecological and social factors on spatial synchrony, i.e., correlated incidence fluctuations across US counties. Specifically, we addressed these questions: Does Lyme disease incidence exhibit spatial synchrony? If so, what geographic patterns does Lyme disease synchrony exhibit? Are geographic patterns of disease synchrony related to weather, land cover, access to health care, or tick-borne disease awareness? How do effects of these variables on Lyme disease synchrony differ geographically? We used network analysis and matrix regression to examine geographical patterns of Lyme disease synchrony and their potential mechanisms in 399 counties in the eastern and Midwestern US. We found two distinct regions of synchrony in Northeast and upper Midwest regions exhibiting opposing temporal fluctuations in incidence. Spatial patterns of Lyme disease synchrony were partly explained by land cover, weather, poverty, and awareness of tick-borne illness, with significant predictive variables changing regionally. However, the two regions may have become more synchronous over time, potentially leading to higher-amplitude nation-wide fluctuations in disease incidence.

Indexed as

Lyme DiseaseHumansIncidenceSpatio-Temporal AnalysisUnited StatesWeatherBorrelia burgdorferiHuman healthLand useSynchronyWeather

Identifiers

PMID38704455
PMCPMC11127889

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.