Evidence map›Paper›PMID 24566049›Full record

ArticleInternational journal of environmental research and public health2014

Indicators for tracking European vulnerabilities to the risks of infectious disease transmission due to climate change.

Jonathan E Suk, Kristie L Ebi, David Vose, Willy Wint, Neil Alexander, Koen Mintiens, Jan C Semenza

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. New methodologies for the estimation of population vulnerability to diseases: a case study of Lassa fever and Ebola in Nigeria and Sierra Leone.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  3. Projecting Drivers of Human Vulnerability under the Shared Socioeconomic Pathways.International journal of environmental research and public health · 2018
    Article
  4. Review
  5. Review
  6. Assessment of Vulnerability to Coccidioidomycosis in Arizona and California.International journal of environmental research and public health · 2017
    Article
  7. Review
  8. Climate change and human health.International journal of environmental research and public health · 2014
    Article
  9. Article
  10. 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

7 authors.

Jonathan E SukEuropean Centre for Disease Prevention and Control, Tomtebodavägen 11A, Stockholm 17183, Sweden. jonathan.suk@ecdc.europa.eu.
Kristie L EbiClimAdapt LLC, Los Altos, CA 94022, USA. krisebi@essllc.org.
David VoseVose Software, Franklin Rooseveltlaan 348, Ghent 9000, Belgium. david@vosesoftware.com.
Willy WintEnvironmental Research Group Oxford, Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK. william.wint@zoo.ox.ac.uk.
Neil AlexanderEnvironmental Research Group Oxford, Department of Zoology, University of Oxford, South Parks Road, Oxford, OX1 3PS, UK. neil.alexander@zoo.ox.ac.uk.
Koen MintiensAvia-GIS, Risschotlei 33, Zoersel 2280, Belgium. koen.mintiens@boerenbond.be.
Jan C SemenzaEuropean Centre for Disease Prevention and Control, Tomtebodavägen 11A, Stockholm 17183, Sweden. jan.semenza@ecdc.europa.eu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A wide range of infectious diseases may change their geographic range, seasonality and incidence due to climate change, but there is limited research exploring health vulnerabilities to climate change. In order to address this gap, pan-European vulnerability indices were developed for 2035 and 2055, based upon the definition vulnerability = impact/adaptive capacity. Future impacts were projected based upon changes in temperature and precipitation patterns, whilst adaptive capacity was developed from the results of a previous pan-European study. The results were plotted via ArcGISTM to EU regional (NUTS2) levels for 2035 and 2055 and ranked according to quintiles. The models demonstrate regional variations with respect to projected climate-related infectious disease challenges that they will face, and with respect to projected vulnerabilities after accounting for regional adaptive capacities. Regions with higher adaptive capacities, such as in Scandinavia and central Europe, will likely be better able to offset any climate change impacts and are thus generally less vulnerable than areas with lower adaptive capacities. The indices developed here provide public health planners with information to guide prioritisation of activities aimed at strengthening regional preparedness for the health impacts of climate change. There are, however, many limitations and uncertainties when modeling health vulnerabilities. To further advance the field, the importance of variables such as coping capacity and governance should be better accounted for, and there is the need to systematically collect and analyse the interlinkages between the numerous and ever-expanding environmental, socioeconomic, demographic and epidemiologic datasets so as to promote the public health capacity to detect, forecast, and prepare for the health threats due to climate change.

Indexed as

Climate ChangeAlgorithmsEuropeFeasibility StudiesHumansInfectionsRisk Assessment

Identifiers

PMID24566049
PMCPMC3945594

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.