Evidence map›Paper›PMID 28990912›Full record

ArticleThe American journal of tropical medicine and hygiene2017

Using Rainfall and Temperature Data in the Evaluation of National Malaria Control Programs in Africa.

Madeleine C Thomson, Israel Ukawuba, Christine L Hershey, Adam Bennett, Pietro Ceccato, Bradfield Lyon, Tufa Dinku

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  10. Impact of Climate Variability and Interventions on Malaria Incidence and Forecasting in Burkina Faso.International journal of environmental research and public health · 2024
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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.

Madeleine C ThomsonInternational Research Institute for Climate and Society, Palisades, New York.
Israel UkawubaInternational Research Institute for Climate and Society, Palisades, New York.
Christine L HersheyPresident's Malaria Initiative, United States Agency for International Development, Washington, District of Columbia.
Adam BennettMalaria Elimination Initiative, Global Health Group, University of California, San Francisco, California.
Pietro CeccatoInternational Research Institute for Climate and Society, Palisades, New York.
Bradfield LyonInternational Research Institute for Climate and Society, Palisades, New York.
Tufa DinkuInternational Research Institute for Climate and Society, Palisades, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2010, the Roll Back Malaria (RBM) Partnership, including National Malaria Control Programs, donor agencies (e.g., President's Malaria Initiative and Global Fund), and other stakeholders have been evaluating the impact of scaling up malaria control interventions on all-cause under-five mortality in several countries in sub-Saharan Africa. The evaluation framework assesses whether the deployed interventions have had an impact on malaria morbidity and mortality and requires consideration of potential nonintervention influencers of transmission, such as drought/floods or higher temperatures. Herein, we assess the likely effect of climate on the assessment of the impact malaria interventions in 10 priority countries/regions in eastern, western, and southern Africa for the President's Malaria Initiative. We used newly available quality controlled Enhanced National Climate Services rainfall and temperature products as well as global climate products to investigate likely impacts of climate on malaria evaluations and test the assumption that changing the baseline period can significantly impact on the influence of climate in the assessment of interventions. Based on current baseline periods used in national malaria impact assessments, we identify three countries/regions where current evaluations may overestimate the impact of interventions (Tanzania, Zanzibar, Uganda) and three countries where current malaria evaluations may underestimate the impact of interventions (Mali, Senegal and Ethiopia). In four countries (Rwanda, Malawi, Mozambique, and Angola) there was no strong difference in climate suitability for malaria in the pre- and post-intervention period. In part, this may be due to data quality and analysis issues.

Indexed as

RainTemperatureAfricaAfrica South of the SaharaClimateCommunicable Disease ControlHumansMalariaNational Health Programs

Identifiers

PMID28990912
PMCPMC5619931

What OpenQuestion holds

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Registered trials

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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.