Evidence map›Paper›PMID 32587283›Full record

ArticleScientific reports2020

Leveraging risk maps of malaria vector abundance to guide control efforts reduces malaria incidence in Eastern Province, Zambia.

David A Larsen, Anne Martin, Derek Pollard, Carrie F Nielsen, Busiku Hamainza, Matthew Burns, Jennifer Stevenson, Anna Winters

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 20 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

David A LarsenSyracuse University, Syracuse, NY, USA. dalarsen@syr.edu.ORCID http://orcid.org/0000-0002-1876-6536
Anne MartinAkros Research, Lusaka, Zambia.
Derek PollardAkros Research, Lusaka, Zambia.
Carrie F NielsenUS President's Malaria Initiative, US Centers for Disease Control and Prevention, Atlanta, GA, USA.
Busiku HamainzaZambia National Malaria Elimination Program, Lusaka, Zambia.
Matthew BurnsAkros Research, Lusaka, Zambia.
Jennifer StevensonMacha Research Trust, Choma, Zambia.ORCID http://orcid.org/0000-0002-6916-1254
Anna WintersAkros Research, Lusaka, Zambia.
Centers for Disease Control and Prevention · USJohns Hopkins University · USNational HIV/AIDS/STI/TB Council · ZMSyracuse University · USUniversity of Montana · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although transmission of malaria and other mosquito-borne diseases is geographically heterogeneous, in sub-Saharan Africa risk maps are rarely used to determine which communities receive vector control interventions. We compared outcomes in areas receiving different indoor residual spray (IRS) strategies in Eastern Province, Zambia: (1) concentrating IRS interventions within a geographical area, (2) prioritizing communities to receive IRS based on predicted probabilities of Anopheles funestus, and (3) prioritizing communities to receive IRS based on observed malaria incidence at nearby health centers. Here we show that the use of predicted probabilities of An. funestus to guide IRS implementation saw the largest decrease in malaria incidence at health centers, a 13% reduction (95% confidence interval = 5-21%) compared to concentrating IRS geographically and a 37% reduction (95% confidence interval = 30-44%) compared to targeting IRS based on health facility incidence. These results suggest that vector control programs could produce better outcomes by prioritizing IRS according to malaria-vector risk maps.

Indexed as

AnimalsAnophelesEcological Parameter MonitoringGeographyHumansIncidenceInsecticidesMalariaMosquito ControlMosquito VectorsZambiaInsecticides

Identifiers

PMID32587283
PMCPMC7316765
OpenAlexW3037462021

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.