Evidence map›Paper›PMID 33008465›Full record

ArticleMalaria journal2020

How useful are malaria risk maps at the country level? Perceptions of decision-makers in Kenya, Malawi and the Democratic Republic of Congo.

Ludovica Ghilardi, George Okello, Linda Nyondo-Mipando, Chawanangwa Mahebere Chirambo, Fathy Malongo, Jenna Hoyt, Jieun Lee, Yovitha Sedekia, Justin Parkhurst, Jo Lines and 3 more

Abstract read
In one paragraph

Article in Malaria journal, 2020. 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
–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

11 citing papers in PubMed.

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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

13 authors.

Ludovica GhilardiDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, UK. Ludovica.ghilardi@lshtm.ac.uk.ORCID http://orcid.org/0000-0001-8480-955X
George OkelloKenya Medical Research Institute-Wellcome Trust Research Programme, P.O. Box 43640-00100, Nairobi, Kenya.
Linda Nyondo-MipandoDepartment of Health Systems and Policy, College of Medicine, University of Malawi, Blantyre, Malawi.
Chawanangwa Mahebere ChiramboDepartment of Health Systems and Policy, College of Medicine, University of Malawi, Blantyre, Malawi.
Fathy MalongoKinshasa School of Public Health, University of Kinshasa, Mont Amba/Lemba, BP 11850 Kin I, Kinshasa, Democratic Republic of Congo.
Jenna HoytDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, UK.
Jieun LeeWorld Vision UK, 1rb, 11 Belgrave Rd, Pimlico, London, SW1V 1RB, UK.
Yovitha SedekiaMwanza Intervention Trials Unit (MITU)/ National Institute for Medical Research (NIMR)- Mwanza Research Centre, P.O BOX 11936, Isamilo road, Mwanza, Tanzania.
Justin ParkhurstLondon School of Economics and Political Science, Houghton Street, London, WC2A 2AE, UK.
Jo LinesDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, UK.
Robert W SnowKenya Medical Research Institute-Wellcome Trust Research Programme, P.O. Box 43640-00100, Nairobi, Kenya.
Caroline A LynchDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Jayne WebsterDepartment of Disease Control, London School of Hygiene and Tropical Medicine, London, UK.

Funding

Department for International Development DFID Programme Code 203155
6 · The paper itself

Abstract

backgroundDeclining malaria prevalence and pressure on external funding have increased the need for efficiency in malaria control in sub-Saharan Africa (SSA). Modelled Plasmodium falciparum parasite rate (PfPR) maps are increasingly becoming available and provide information on the epidemiological situation of countries. However, how these maps are understood or used for national malaria planning is rarely explored. In this study, the practices and perceptions of national decision-makers on the utility of malaria risk maps, showing prevalence of parasitaemia or incidence of illness, was investigated.

methodsA document review of recent National Malaria Strategic Plans was combined with 64 in-depth interviews with stakeholders in Kenya, Malawi and the Democratic Republic of Congo (DRC). The document review focused on the type of epidemiological maps included and their use in prioritising and targeting interventions. Interviews (14 Kenya, 17 Malawi, 27 DRC, 6 global level) explored drivers of stakeholder perceptions of the utility, value and limitations of malaria risk maps.

resultsThree different types of maps were used to show malaria epidemiological strata: malaria prevalence using a PfPR modelled map (Kenya); malaria incidence using routine health system data (Malawi); and malaria prevalence using data from the most recent Demographic and Health Survey (DRC). In Kenya the map was used to target preventative interventions, including long-lasting insecticide-treated nets (LLINs) and intermittent preventive treatment in pregnancy (IPTp), whilst in Malawi and DRC the maps were used to target in-door residual spraying (IRS) and LLINs distributions in schools. Maps were also used for operational planning, supply quantification, financial justification and advocacy. Findings from the interviews suggested that decision-makers lacked trust in the modelled PfPR maps when based on only a few empirical data points (Malawi and DRC).

conclusionsMaps were generally used to identify areas with high prevalence in order to implement specific interventions. Despite the availability of national level modelled PfPR maps in all three countries, they were only used in one country. Perceived utility of malaria risk maps was associated with the epidemiological structure of the country and use was driven by perceived need, understanding (quality and relevance), ownership and trust in the data used to develop the maps.

Indexed as

Decision MakingGeographic MappingDemocratic Republic of the CongoHumansKenyaMalariaMalawiRisk AssessmentDemocratic Republic of CongoKenyaMalawiModelled PfPR mapsNational Malaria Control ProgrammeRisk mapsTargeting

Identifiers

PMID33008465
PMCPMC7530951

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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.