Evidence map›Paper›PMID 33150704›Full record

ArticleGlobal change biology2021

Impact of prior and projected climate change on US Lyme disease incidence.

Lisa I Couper, Andrew J MacDonald, Erin A Mordecai

Open access · greenAbstract read
In one paragraph

Article in Global change biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
0.7field-weighted citation impact, top 16% of its field
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

40 citing papers in PubMed, 74 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Climate sensitivity is widely but unevenly spread across zoonotic diseases.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Climate change and inequality.Pediatric research · 2025
    Review
  10. Review
  11. Increasing Length of theOpen forum infectious diseases · 2025
    Article
  12. Article
  13. Article
  14. Future Issues in Global Health: Challenges and Conundrums.International journal of environmental research and public health · 2025
    Article
  15. Pathogens and planetary change.Nature reviews. Biodiversity · 2025
    Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

3 authors at 2 institutions in 1 country.

Lisa I CouperDepartment of Biology, Stanford University, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-7417-8675
Andrew J MacDonaldEarth Research Institute, University of California, Santa Barbara, CA, USA.ORCID https://orcid.org/0000-0003-0172-7749
Erin A MordecaiDepartment of Biology, Stanford University, Stanford, CA, USA.
Stanford University · USUniversity of California, Santa Barbara · US

Funding

Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
National Science Foundation DEB-1518681NIGMS NIH HHS R35 GM133439NIGMS NIH HHS R35GM133439
6 · The paper itself

Abstract

Lyme disease is the most common vector-borne disease in temperate zones and a growing public health threat in the United States (US). The life cycles of the tick vectors and spirochete pathogen are highly sensitive to climate, but determining the impact of climate change on Lyme disease burden has been challenging due to the complex ecology of the disease and the presence of multiple, interacting drivers of transmission. Here we incorporated 18 years of annual, county-level Lyme disease case data in a panel data statistical model to investigate prior effects of climate variation on disease incidence while controlling for other putative drivers. We then used these climate-disease relationships to project Lyme disease cases using CMIP5 global climate models and two potential climate scenarios (RCP4.5 and RCP8.5). We find that interannual variation in Lyme disease incidence is associated with climate variation in all US regions encompassing the range of the primary vector species. In all regions, the climate predictors explained less of the variation in Lyme disease incidence than unobserved county-level heterogeneity, but the strongest climate-disease association detected was between warming annual temperatures and increasing incidence in the Northeast. Lyme disease projections indicate that cases in the Northeast will increase significantly by 2050 (23,619 ± 21,607 additional cases), but only under RCP8.5, and with large uncertainty around this projected increase. Significant case changes are not projected for any other region under either climate scenario. The results demonstrate a regionally variable and nuanced relationship between climate change and Lyme disease, indicating possible nonlinear responses of vector ticks and transmission dynamics to projected climate change. Moreover, our results highlight the need for improved preparedness and public health interventions in endemic regions to minimize the impact of further climate change-induced increases in Lyme disease burden.

Indexed as

IxodesLyme DiseaseAnimalsClimate ChangeForecastingIncidenceUnited Statesclimate changedisease projectionsIxodes pacificusIxodes scapularisleast squares dummy variablesLyme disease

Identifiers

PMID33150704
PMCPMC7855786
OpenAlexW3095801871

What OpenQuestion holds

Textmetadata
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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.