Evidence map›Paper›PMID 25158163›Full record

ArticleJournal of theoretical biology2014

Quantifying the impact of decay in bed-net efficacy on malaria transmission.

Calistus N Ngonghala, Sara Y Del Valle, Ruijun Zhao, Jemal Mohammed-Awel

Open access · hybridAbstract read
In one paragraph

Article in Journal of theoretical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 76 citations in OpenAlex.

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  11. Effects of changes in temperature on Zika dynamics and control.Journal of the Royal Society, Interface · 2021
    Article
  12. Article
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  15. A climate-based malaria model with the use of bed nets.Journal of mathematical biology · 2018
    Article
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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

4 authors at 4 institutions in 1 country.

Calistus N NgonghalaDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA 02115, USA; National Institute for Mathematical and Biological Synthesis, Knoxville, TN 37996-1527, USA. Electronic address: Calistus_Ngonghala@hms.harvard.edu.
Sara Y Del ValleEnergy and Infrastructure Analysis, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Ruijun ZhaoDepartment of Mathematics and Statistics, Minnesota State University, Mankato, MN 56001, USA.
Jemal Mohammed-AwelDepartment of Mathematics and Computer Science, Valdosta State University, Valdosta, GA 31698 USA.
Los Alamos National Laboratory · USMinnesota State University, Mankato · USNational Institute for Mathematical and Biological Synthesis · USValdosta State University · US

Funding

Quantifying Model Uncertainty for Forecasting the Spread of Infectious DiseasesU01GM097658 · NIGMS · LOS ALAMOS NAT SECTY-LOS ALAMOS NAT LAB · PI DEL VALLE, SARA · 2011 to 2015
$3.3M
NIGMS NIH HHS U01 GM097658NIGMS NIH HHS U01-GM097658-01
6 · The paper itself

Abstract

Insecticide-treated nets (ITNs) are at the forefront of malaria control programs and even though the percentage of households in sub-Saharan Africa that owned nets increased from 3% in 2000 to 53% in 2012, many children continue to die from malaria. The potential impact of ITNs on reducing malaria transmission is limited due to inconsistent or improper use, as well as physical decay in effectiveness. Most mathematical models for malaria transmission have assumed a fixed effectiveness rate for bed-nets, which can overestimate the impact of nets on malaria control. We develop a model for malaria spread that captures the decrease in ITN effectiveness due to physical and chemical decay, as well as human behavior as a function of time. We perform uncertainty and sensitivity analyses to identify and rank parameters that play a critical role in malaria transmission. These analyses show that the basic reproduction number R0, and the infectious human population are most sensitive to bed-net coverage and the biting rate of mosquitoes. Our results show the existence of a backward bifurcation for the case in which ITN efficacy is constant over time, which occurs for some range of parameters and is characterized by high malaria mortality in humans. This result implies that bringing R0 to less than one is not enough for malaria elimination but rather additional efforts will be necessary to control the disease. For the case in which ITN efficacy decays over time, we determine coverage levels required to control malaria for different ITN efficacies and demonstrate that ITNs with longer useful lifespans perform better in malaria control. We conclude that malaria control programs should focus on increasing bed-net coverage, which can be achieved by enhancing malaria education and increasing bed-net distribution in malaria endemic regions.

Indexed as

Models, BiologicalComputer SimulationHumansInsect ControlMalariaMosquito NetsTime FactorsUncertaintyBackward bifurcationHuman behaviorInsecticide-treated netsMalaria controlSensitivity analysis

Identifiers

PMID25158163
PMCPMC4374367
OpenAlexW2101586479

What OpenQuestion 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 OpenQuestion graph.