Evidence map›Paper›PMID 34682710›Full record

ArticleInternational journal of environmental research and public health2021

Associating Land Cover Changes with Patterns of Incidences of Climate-Sensitive Infections: An Example on Tick-Borne Diseases in the Nordic Area.

Didier G Leibovici, Helena Bylund, Christer Björkman, Nikolay Tokarevich, Tomas Thierfelder, Birgitta Evengård, Shaun Quegan

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 5 institutions in 4 countries.

Didier G LeiboviciSchool of Mathematics and Statistics, University of Sheffield, Sheffield S10 2TN, UK.ORCID 0000-0002-3903-2443
Helena BylundDepartment of Ecology, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden.
Christer BjörkmanDepartment of Ecology, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden.
Nikolay TokarevichLaboratory of Zoonoses, St. Petersburg Pasteur Institute, 197101 St. Petersburg, Russia.ORCID 0000-0001-6433-3486
Tomas ThierfelderDepartment of Energy and Technology, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden.
Birgitta EvengårdDepartment of Clinical Microbiology, Umeå University, 90187 Umeå, Sweden.
Shaun QueganSchool of Mathematics and Statistics, University of Sheffield, Sheffield S10 2TN, UK.ORCID 0000-0003-4452-4829
Swedish University of Agricultural Sciences · SEGéosciences Montpellier · FRSaint Petersburg Pasteur Institute · RUUmeå University · SEUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some of the climate-sensitive infections (CSIs) affecting humans are zoonotic vector-borne diseases, such as Lyme borreliosis (BOR) and tick-borne encephalitis (TBE), mostly linked to various species of ticks as vectors. Due to climate change, the geographical distribution of tick species, their hosts, and the prevalence of pathogens are likely to change. A recent increase in human incidences of these CSIs in the Nordic regions might indicate an expansion of the range of ticks and hosts, with vegetation changes acting as potential predictors linked to habitat suitability. In this paper, we study districts in Fennoscandia and Russia where incidences of BOR and TBE have steadily increased over the 1995-2015 period (defined as 'Well Increasing districts'). This selection is taken as a proxy for increasing the prevalence of tick-borne pathogens due to increased habitat suitability for ticks and hosts, thus simplifying the multiple factors that explain incidence variations. This approach allows vegetation types and strengths of correlation specific to the WI districts to be differentiated and compared with associations found over all districts. Land cover types and their changes found to be associated with increasing human disease incidence are described, indicating zones with potential future higher risk of these diseases. Combining vegetation cover and climate variables in regression models shows the interplay of biotic and abiotic factors linked to CSI incidences and identifies some differences between BOR and TBE. Regression model projections up until 2070 under different climate scenarios depict possible CSI progressions within the studied area and are consistent with the observed changes over the past 20 years.

Indexed as

Encephalitis, Tick-BorneIxodesLyme DiseaseTick-Borne DiseasesAnimalsHumansIncidenceclimate changeclimate-sensitive infectionFennoscandialand coverNordictick-borne diseasevector-borne diseasevegetation type

Identifiers

PMID34682710
PMCPMC8535683
OpenAlexW3207735539

What OpenQuestion holds

Textmetadata
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.