Evidence map›Paper›PMID 37854770›Full record

ArticleFrontiers in epidemiology2022

Remote bednet use monitoring to describe patterns of use and exposure to female

Paul J Krezanoski, John Rek, Alex Musiime, Geoffrey Otto, Patrick Kyagamba, Jackson Asiimwe Rwatooro, Kelly Walters, Alina Romanel, Emmanuel Arinaitwe, Joaniter I Nankabirwa and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Frontiers in epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Article
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

13 authors at 5 institutions in 3 countries.

Paul J KrezanoskiUniversity of California, San Francisco, San Francisco, CA, United States.
John RekInfectious Diseases Research Collaboration, Kampala, Uganda.
Alex MusiimeUS President's Malaria Initiative, Kampala, Uganda.
Geoffrey OttoInfectious Diseases Research Collaboration, Kampala, Uganda.
Patrick KyagambaInfectious Diseases Research Collaboration, Kampala, Uganda.
Jackson Asiimwe RwatooroInfectious Diseases Research Collaboration, Kampala, Uganda.
Kelly WaltersUniversity of California, San Francisco, San Francisco, CA, United States.
Alina RomanelUniversity of California, San Francisco, San Francisco, CA, United States.
Emmanuel ArinaitweInfectious Diseases Research Collaboration, Kampala, Uganda.
Joaniter I NankabirwaInfectious Diseases Research Collaboration, Kampala, Uganda.
Chris J DrakeleyLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Moses KamyaInfectious Diseases Research Collaboration, Kampala, Uganda.
Grant DorseyUniversity of California, San Francisco, San Francisco, CA, United States.
Infectious Diseases Research Collaboration · UGUniversity of California, San Francisco · USMakerere University · UGLondon School of Hygiene & Tropical Medicine · GBMalaria Consortium · UG

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
Training in malaria surveillance, epidemiology and implementation science research to strengthen malaria policy and control in UgandaD43TW010526 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2017 to 2026
$2.3M
Identifying gaps between LLIN use and vector exposure to improve malaria controlK23AI139364 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KREZANOSKI, PAUL JOSEPH · 2019 to 2023
$986k
Impact of malaria control interventions on the infectious reservoir, host immunity, and drug resistance in UgandaK43TW010365 · FIC · INFECTIOUS DISEASES RES COLLABORATION · PI NANKABIRWA, JOANITER IMMACULATE · 2017 to 2021
$514k
FIC NIH HHS D43 TW010526FIC NIH HHS K43 TW010365NIAID NIH HHS K23 AI139364NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

Background: Long lasting insecticide-treated bednets (LLINs) are the most widely used tool for preventing malaria. There has been a plateau in progress in the highest burden African countries since 2015, leading to questions about the effectiveness of LLINs. In this study, remote LLIN use monitors were deployed in a cohort in Eastern Uganda to explore how LLIN use interacts with mosquito exposure. Methods: The SmartNet study included 20 households from May to October 2019. SmartNet devices recorded, every 15 min, whether an LLIN was unfurled or folded up. Unannounced visits were used to assess SmartNet accuracy. Risk factors associated with poor LLIN use were assessed using generalized linear equations. Female Results: 96 individuals contributed 5,640 SmartNet observation nights. In 126 unannounced visits, SmartNet had an area under the curve of 0.869 in classifying whether the LLIN was up or down. The rate of non-use was 13.5% of nights (95% CI: 12.6-14.3%). Compared to children under 5, non-use was 1.8 times higher (95% CI: 1.6-2.1; Conclusions: Objective monitors are accurate and can feasibly be deployed to obtain data about LLIN use. LLINs provided protection from only 50% of female

Indexed as

Anopheles mosquitoelectronic bednet use monitoringhuman behaviorinsecticide-treated bednetsmalaria control

Identifiers

PMID37854770
PMCPMC10583855
OpenAlexW4289730895

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.