Evidence map›Paper›PMID 30541601›Full record

ArticleInfectious diseases of poverty2018

Data and tools to integrate climate and environmental information into public health.

Pietro Ceccato, Bernadette Ramirez, Tawanda Manyangadze, Paul Gwakisa, Madeleine C Thomson

Open access · goldAbstract readLetter
In one paragraph

Article in Infectious diseases of poverty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.0field-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

29 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
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  13. Digital health for climate change mitigation and response: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  14. Article
  15. Article
  16. Leveraging data and information systems on the sustainable development goals.International journal of medical informatics · 2021
    Article
  17. Science Policy to Advance a Climate Change and Health Research Agenda in the United States.International journal of environmental research and public health · 2021
    Article
  18. Spatial and Temporal Variability of Visceral Leishmaniasis in Colombia, 2007 to 2018.The American journal of tropical medicine and hygiene · 2021
    Article
  19. Review
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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

5 authors at 4 institutions in 4 countries.

Pietro CeccatoThe International Research Institute for Climate and Society, The Earth Institute, Columbia University, 61 Route 9W, Lamont-Doherty, Palisades, NY, 10964, USA. pceccato@iri.columbia.edu.ORCID http://orcid.org/0000-0001-7979-3100
Bernadette RamirezThe Special Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland.
Tawanda ManyangadzeSchool of Nursing and Public Health, Department of Public Health, College of health Sciences, University of KwaZulu-Natal, P. Bag, 1020, Bindura, Zimbabwe.
Paul GwakisaNelson Mandela African Institution of Science and Technology, School of Life Sciences and Bioengineering, P.O. Box 447, Arusha, Tanzania.
Madeleine C ThomsonThe International Research Institute for Climate and Society, The Earth Institute, Columbia University, 61 Route 9W, Lamont-Doherty, Palisades, NY, 10964, USA.
Bindura University of Science Education · ZWLamont-Doherty Earth Observatory · USSokoine University of Agriculture · TZWorld Health Organization · CH

Funding

NASA NASA SERVIR PROJECT NNX12AQ70GWorld Health Organization 001
6 · The paper itself

Abstract

backgroundDuring the last 30 years, the development of geographical information systems and satellites for Earth observation has made important progress in the monitoring of the weather, climate, environmental and anthropogenic factors that influence the reduction or the reemergence of vector-borne diseases. Analyses resulting from the combination of geographical information systems (GIS) and remote sensing have improved knowledge of climatic, environmental, and biodiversity factors influencing vector-borne diseases (VBDs) such as malaria, visceral leishmaniasis, dengue, Rift Valley fever, schistosomiasis, Chagas disease and leptospirosis. These knowledge and products developed using remotely sensed data helped and continue to help decision makers to better allocate limited resources in the fight against VBDs. MAIN BODY: Because VBDs are linked to climate and environment, we present here our experience during the last four years working with the projects under the, World Health Organization (WHO)/ The Special Programme for Research and Training in Tropical Diseases (TDR)-International Development Research Centre (IDRC) Research Initiative on VBDs and Climate Change to integrate climate and environmental information into research and decision-making processes. The following sections present the methodology we have developed, which uses remote sensing to monitor climate variability, environmental conditions, and their impacts on the dynamics of infectious diseases. We then show how remotely sensed data can be accessed and evaluated and how they can be integrated into research and decision-making processes for mapping risks, and creating Early Warning Systems, using two examples from the WHO TDR projects based on schistosomiasis analysis in South Africa and Trypanosomiasis in Tanzania.

conclusionsThe tools presented in this article have been successfully used by the projects under the WHO/TDR-IDRC Research Initiative on VBDs and Climate Change. Combined with capacity building, they are an important piece of work which can significantly contribute to the goals of WHO Global Vector Control Response and to the Sustainable Development Goals especially those on health and climate action.

Indexed as

Climate ChangePublic HealthAnimalsCommunicable Disease ControlCommunicable DiseasesDisease VectorsGeographic Information SystemsHumansRemote Sensing TechnologyWorld Health OrganizationAccessClimate and environmental informationDataGeographical information systemMalariaSchistosomiasisToolsTrypanosomiasis

Identifiers

PMID30541601
PMCPMC6292116
OpenAlexW2904802778

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.