Evidence map›Paper›PMID 28438910›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017

Lyme disease ecology in a changing world: consensus, uncertainty and critical gaps for improving control.

A Marm Kilpatrick, Andrew D M Dobson, Taal Levi, Daniel J Salkeld, Andrea Swei, Howard S Ginsberg, Anne Kjemtrup, Kerry A Padgett, Per M Jensen, Durland Fish and 2 more

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed, 1 pooled it
–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

135 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Prevalence ofPathogens (Basel, Switzerland) · 2025
    Article
  10. Article
  11. Review
  12. An atlas for tick immune cells.Nature microbiology · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Review of Molecular Tools Used in Diagnosis ofAnimals : an open access journal from MDPI · 2025
    Review
  17. Dynamics ofApplied and environmental microbiology · 2025
    Article
  18. Article
  19. Article
  20. Article

75 more citing papers are in PubMed but not listed here.

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

12 authors.

A Marm KilpatrickDepartment of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064, USA akilpatr@ucsc.edu.ORCID http://orcid.org/0000-0002-3612-5775
Andrew D M DobsonSchool of GeoSciences, University of Edinburgh, Edinburgh, UK.
Taal LeviDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR 97331, USA.
Daniel J SalkeldDepartment of Biology, Colorado State University, Fort Collins, CO 80523, USA.
Andrea SweiDepartment of Biology, San Francisco State University, San Francisco, CA 94132, USA.
Howard S GinsbergUSGS Patuxent Wildlife Research Center, RI Field Station, University of Rhode Island, Kingston, RI 02881, USA.
Anne KjemtrupVector-Borne Disease Section, Division of Communicable Disease Control, California Department of Public Health, Center for Infectious Diseases, Sacramento, CA 95814, USA.
Kerry A PadgettVector-Borne Disease Section, Division of Communicable Disease Control, California Department of Public Health, Center for Infectious Diseases, Sacramento, CA 95814, USA.
Per M JensenDepartment of Plant and Environmental Science, University of Copenhagen, 1871 Frederiksberg C, Denmark.
Durland FishDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA.
Nick H OgdenPublic Health Risk Sciences, National Microbiology Laboratory, Public Health Agency of Canada, 3200 Sicotte, Saint-Hyacinthe, Quebec, J2S 7C6, Canada.
Maria A Diuk-WasserDepartment of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY 10027, USA.ORCID http://orcid.org/0000-0001-8809-3050

Funding

The Impact of Climate and Climate Change on West Nile Virus TransmissionR01AI090159 · NIAID · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KILPATRICK, AUSTON MARMADUKE · 2010 to 2013
$1.9M
NIAID NIH HHS R01 AI090159
6 · The paper itself

Abstract

Lyme disease is the most common tick-borne disease in temperate regions of North America, Europe and Asia, and the number of reported cases has increased in many regions as landscapes have been altered. Although there has been extensive work on the ecology and epidemiology of this disease in both Europe and North America, substantial uncertainty exists about fundamental aspects that determine spatial and temporal variation in both disease risk and human incidence, which hamper effective and efficient prevention and control. Here we describe areas of consensus that can be built on, identify areas of uncertainty and outline research needed to fill these gaps to facilitate predictive models of disease risk and the development of novel disease control strategies. Key areas of uncertainty include: (i) the precise influence of deer abundance on tick abundance, (ii) how tick populations are regulated, (iii) assembly of host communities and tick-feeding patterns across different habitats, (iv) reservoir competence of host species, and (v) pathogenicity for humans of different genotypes of

Indexed as

Borrelia burgdorferiCommunicable Disease ControlIxodesLyme DiseaseAnimalsConsensus Statements as TopicHumansIncidenceRiskBorrelia burgdorferidilution effectemerging infectious diseaseepidemiologyIxodes

Identifiers

PMID28438910
PMCPMC5413869

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.