Evidence map›Paper›PMID 38196597›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Mathematical assessment of the role of intervention programs for malaria control.

Maame Akua Korsah, Stuart T Johnston, Kathryn E Tiedje, Karen P Day, Jennifer A Flegg, Camelia R Walker

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Maame Akua KorsahSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.ORCID 0000-0003-0332-6527
Stuart T JohnstonSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.
Kathryn E TiedjeDepartment of Microbiology and Immunology, Bio21 Institute and Peter Doherty Institute, The University of Melbourne, Melbourne, Australia.
Karen P DayDepartment of Microbiology and Immunology, Bio21 Institute and Peter Doherty Institute, The University of Melbourne, Melbourne, Australia.
Jennifer A FleggSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.
Camelia R WalkerSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.
The University of Melbourne · AU

Funding

Temporal strain structure and response to interventions in a high endemicity region of Plasmodium falciparum R01AI149779 · NIAID · UNIVERSITY OF CHICAGO · PI DAY, KAREN PATRICIA, KORAM, KWADWO ANSAH · 2019 to 2023
$3.0M
NIAID NIH HHS R01 AI149779
6 · The paper itself

Abstract

Malaria remains a global health problem despite the many attempts to control and eradicate it. There is an urgent need to understand the current transmission dynamics of malaria and to determine the interventions necessary to control malaria. In this paper, we seek to develop a fit-for-purpose mathematical model to assess the interventions needed to control malaria in an endemic setting. To achieve this, we formulate a malaria transmission model to analyse the spread of malaria in the presence of interventions. A sensitivity analysis of the model is performed to determine the relative impact of the model parameters on disease transmission. We explore how existing variations in the recruitment and management of intervention strategies affect malaria transmission. Results obtained from the study imply that the discontinuation of existing interventions has a significant effect on malaria prevalence. Thus, the maintenance of interventions is imperative for malaria elimination and eradication. In a scenario study aimed at assessing the impact of long-lasting insecticidal nets (LLINs), indoor residual spraying (IRS), and localized individual measures, our findings indicate that increased LLINs utilization and extended IRS coverage (with longer-lasting insecticides) cause a more pronounced reduction in symptomatic malaria prevalence compared to a reduced LLINs utilization and shorter IRS coverage. Additionally, our study demonstrates the impact of localized preventive measures in mitigating the spread of malaria when compared to the absence of interventions.

Indexed as

intervention programsmalariamathematical modellingsensitivity analysis

Identifiers

PMID38196597
PMCPMC10775318
OpenAlexW4390033312

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.