Evidence map›Paper›PMID 34058123›Full record

ArticleeLife2021

Mapping the endemicity and seasonality of clinical malaria for intervention targeting in Haiti using routine case data.

Ewan Cameron, Alyssa J Young, Katherine A Twohig, Emilie Pothin, Darlene Bhavnani, Amber Dismer, Jean Baptiste Merilien, Karen Hamre, Phoebe Meyer, Arnaud Le Menach and 12 more

Abstract readComparative Study
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  13. Spatial, environmental, and individual associations withFrontiers in cellular and infection microbiology · 2022
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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

22 authors.

Ewan CameronCurtin University, Perth, Australia.ORCID 0000-0002-8842-3811
Alyssa J YoungClinton Health Access Initiative, Boston, United States.
Katherine A TwohigBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
Emilie PothinClinton Health Access Initiative, Boston, United States.
Darlene BhavnaniClinton Health Access Initiative, Boston, United States.
Amber DismerDivision of Global Health Protection, Centers for Disease Control and Prevention, Atlanta, United States.
Jean Baptiste MerilienProgramme National de Contrôle de la Malaria/MSPP, Port-au-Prince, Haiti.
Karen HamreDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, United States.
Phoebe MeyerClinton Health Access Initiative, Boston, United States.
Arnaud Le MenachClinton Health Access Initiative, Boston, United States.
Justin M CohenClinton Health Access Initiative, Boston, United States.
Samson MarseilleProgramme National de Contrôle de la Malaria/MSPP, Port-au-Prince, Haiti.
Jean Frantz LemoineProgramme National de Contrôle de la Malaria/MSPP, Port-au-Prince, Haiti.
Marc-Aurèle TelfortProgramme National de Contrôle de la Malaria/MSPP, Port-au-Prince, Haiti.
Michelle A ChangDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, United States.
Kimberly WonDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, United States.
Alaine KnipesDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, United States.
Eric RogierDivision of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, United States.
Punam AmratiaBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.
Daniel J WeissCurtin University, Perth, Australia.
Peter W GethingCurtin University, Perth, Australia.
Katherine E BattleInstitute for Disease Modelling, Seattle, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Towards the goal of malaria elimination on Hispaniola, the National Malaria Control Program of Haiti and its international partner organisations are conducting a campaign of interventions targeted to high-risk communities prioritised through evidence-based planning. Here we present a key piece of this planning: an up-to-date, fine-scale endemicity map and seasonality profile for Haiti informed by monthly case counts from 771 health facilities reporting from across the country throughout the 6-year period from January 2014 to December 2019. To this end, a novel hierarchical Bayesian modelling framework was developed in which a latent, pixel-level incidence surface with spatio-temporal innovations is linked to the observed case data via a flexible catchment sub-model designed to account for the absence of data on case household locations. These maps have focussed the delivery of indoor residual spraying and focal mass drug administration in the Grand'Anse Department in South-Western Haiti.

Indexed as

Endemic DiseasesSeasonsAntimalarialsBayes TheoremCatchment Area, HealthHaitiHumansIncidenceMalariaModels, StatisticalMosquito ControlSpatio-Temporal AnalysisTime FactorsAntimalarialsclinical malariaepidemiologygeospatial statisticsglobal healthmedicinenoneroutine surveillance

Identifiers

PMID34058123
PMCPMC8169118

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.