Evidence map›Paper›PMID 36609584›Full record

ArticleScientific reports2023

National-scale simulation of human movement in a spatially coupled individual-based model of malaria in Burkina Faso.

Robert J Zupko, Tran Dang Nguyen, Amy Wesolowski, Jaline Gerardin, Maciej F Boni

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Robert J ZupkoCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, 16802, USA. rbz5100@psu.edu.
Tran Dang NguyenCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, 16802, USA.
Amy WesolowskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jaline GerardinDepartment of Preventive Medicine and Institute for Global Health, Northwestern University, Chicago, IL, USA.
Maciej F BoniCenter for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, 16802, USA.
Pennsylvania State University · USJohns Hopkins University · USNorthwestern University · US

Funding

Human mobility models to forecast disease dynamics and the effectiveness of public health interventionsR01AI160780 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CUMMINGS, DEREK A, WESOLOWSKI, AMY · 2021 to 2025
$3.3M
Disease Emergence and Elimination: Using Mobility Data to Inform Spatial Disease DynamicsDP2LM013102 · NLM · JOHNS HOPKINS UNIVERSITY · PI WESOLOWSKI, AMY · 2018 to 2018
$2.5M
Preparing for a world with artemisinin resistance: using individual-based epidemiological modeling to minimize the long-term detrimental effects of antimalarial drug resistanceR01AI153355 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI BONI, MACIEJ F · 2020 to 2024
$1.8M
NIAID NIH HHS R01 AI153355NIAID NIH HHS R01 AI160780NLM NIH HHS DP2 LM013102
6 · The paper itself

Abstract

Malaria due to the Plasmodium falciparum parasite remains a threat to human health despite eradication efforts and the development of anti-malarial treatments, such as artemisinin combination therapies. Human movement and migration have been linked to the propagation of malaria on national scales, highlighting the need for the incorporation of human movement in modeling efforts. Spatially couped individual-based models have been used to study how anti-malarial resistance evolves and spreads in response to drug policy changes; however, as the spatial scale of the model increases, the challenges associated with modeling of movement also increase. In this paper we discuss the development, calibration, and validation of a movement model in the context of a national-scale, spatial, individual-based model used to study the evolution of drug resistance in the malaria parasite.

Indexed as

AntimalarialsMalariaMalaria, FalciparumBurkina FasoDrug ResistanceDrug Therapy, CombinationHumansPlasmodium falciparumAntimalarials

Identifiers

PMID36609584
PMCPMC9822930
OpenAlexW4313650673

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.