Evidence map›Paper›PMID 34027972›Full record

SynthesisJournal of medical entomology2021

Trends and Opportunities in Tick-Borne Disease Geography.

Catherine A Lippi, Sadie J Ryan, Alexis L White, Holly D Gaff, Colin J Carlson

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in Journal of medical entomology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Catherine A LippiQuantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-7988-0324
Sadie J RyanQuantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-4308-6321
Alexis L WhiteQuantitative Disease Ecology and Conservation (QDEC) Lab, Department of Geography, University of Florida, Gainesville, FL, USA.ORCID 0000-0003-3289-5497
Holly D GaffDepartment of Biology, Old Dominion University, Norfolk, VA, USA.ORCID 0000-0002-4034-2684
Colin J CarlsonCenter for Global Health Science and Security, Georgetown University Medical Center, Georgetown University, Washington, DC, USA.

Funding

Spatial eco-epidemiology of tick-borne rickettisal pathogens R01AI136035 · NIAID · OLD DOMINION UNIVERSITY · PI GAFF, HOLLY · 2017 to 2021
$2.4M
NCEZID CDC HHS U01 CK000510NIAID NIH HHS R01 AI136035
6 · The paper itself

Abstract

Tick-borne diseases are a growing problem in many parts of the world, and their surveillance and control touch on challenging issues in medical entomology, agricultural health, veterinary medicine, and biosecurity. Spatial approaches can be used to synthesize the data generated by integrative One Health surveillance systems, and help stakeholders, managers, and medical geographers understand the current and future distribution of risk. Here, we performed a systematic review of over 8,000 studies and identified a total of 303 scientific publications that map tick-borne diseases using data on vectors, pathogens, and hosts (including wildlife, livestock, and human cases). We find that the field is growing rapidly, with the major Ixodes-borne diseases (Lyme disease and tick-borne encephalitis in particular) giving way to monitoring efforts that encompass a broader range of threats. We find a tremendous diversity of methods used to map tick-borne disease, but also find major gaps: data on the enzootic cycle of tick-borne pathogens is severely underutilized, and mapping efforts are mostly limited to Europe and North America. We suggest that future work can readily apply available methods to track the distributions of tick-borne diseases in Africa and Asia, following a One Health approach that combines medical and veterinary surveillance for maximum impact.

Indexed as

Arachnid VectorsGeographyTick-Borne DiseasesAnimalsPrevalencegeospatialmapsprevalence species distribution modelingtick-borne diseases

Identifiers

PMID34027972
PMCPMC8577696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.