Evidence map›Paper›PMID 29035160›Full record

ArticleGlobal health action2017

Towards malaria control and elimination in Ghana: challenges and decision making tools to guide planning.

Timothy Awine, Keziah Malm, Constance Bart-Plange, Sheetal P Silal

Abstract read
In one paragraph

Article in Global health action, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
–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

64 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  10. Plasmodium falciparum genetic diversity and multiplicity of infection in northern and southern Ghana assessed by amplicon sequencing.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2025
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4 more citing papers are in PubMed but not listed here.

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

4 authors.

Timothy Awinea Modelling and Simulation Hub, Africa, Department of Statistical Sciences , University of Cape Town , Cape Town , South Africa.ORCID http://orcid.org/0000-0002-7340-6111
Keziah Malmc National Malaria Control Program , Ministry of Health , Accra , Ghana.
Constance Bart-Plangec National Malaria Control Program , Ministry of Health , Accra , Ghana.
Sheetal P Silala Modelling and Simulation Hub, Africa, Department of Statistical Sciences , University of Cape Town , Cape Town , South Africa.ORCID http://orcid.org/0000-0002-3007-5383

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ghana is classified as being in the malaria control phase, according to the global malaria elimination program. With many years of policy development and control interventions, malaria specific mortality among children less than 5 years old has declined from 14.4% in 2000 to 0.6% in 2012. However, the same level of success has not been achieved with malaria morbidity. The recently adopted 2015-2020 Ghana strategic action plan aims to reduce the burden of malaria by 75.0%. Planning and policy development has always been guided by evidence from field studies, and mathematical models that are able to investigate malaria transmission dynamics have not played a significant role in supporting policy development. The objectives of this study are to describe the malaria situation in Ghana and give a brief account of how mathematical modelling techniques could support a more informed malaria control effort in the Ghanaian context. A review is carried out of some mathematical models investigating the dynamics of malaria transmission in sub-Saharan African countries, including Ghana. The applications of these models are then discussed, considering the gaps that still remain in Ghana for which further mathematical model development could be supportive. Because of the collaborative approach adopted in their development, some model examples Ghana could benefit from are also discussed. Collaboration between malaria control experts and modellers will allow for more appropriate mathematical models to be developed. Packaging these models with user-friendly interfaces and making them available at various levels of malaria control management could help provide the decision making tools needed for planning and a platform for monitoring and evaluation of interventions in Ghana.

Indexed as

Decision MakingHealth PolicyPlanning TechniquesPolicy MakingAfrica, NorthernChildFemaleGhanaHumansMalariaMaleModels, TheoreticalPreventive Health ServicescontrolinterventionsMalariamathematical modelsplanningpolicy

Identifiers

PMID29035160
PMCPMC5678345

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LicenceCC BY
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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.