Evidence map›Paper›PMID 36219836›Full record

ArticleJMIR public health and surveillance2022

The Use of a Health Compliance Monitoring System During the COVID-19 Pandemic in Indonesia: Evaluation Study.

Dewi Nur Aisyah, Logan Manikam, Thifal Kiasatina, Maryan Naman, Wiku Adisasmito, Zisis Kozlakidis

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 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
–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

2 citing papers in PubMed.

  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

6 authors.

Dewi Nur Aisyah *Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom.ORCID 0000-0003-2247-0612
Logan Manikam *Department of Epidemiology and Public Health, Institute of Epidemiology and Health Care, University College London, London, United Kingdom.ORCID 0000-0001-5288-3325
Thifal Kiasatina *Indonesia One Health University Network, Depok, Indonesia.ORCID 0000-0003-4488-0874
Maryan Naman *Aceso Global Health Consultants Pte Limited, Faculty of Public Health, Universitas Indonesia, Depok, Indonesia.ORCID 0000-0002-1861-7602
Wiku AdisasmitoIndonesia One Health University Network, Depok, Indonesia.ORCID 0000-0002-8788-2362
Zisis KozlakidisInternational Agency for Research on Cancer, World Health Organization, Lyon, France.ORCID 0000-0002-3836-7209

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundCOVID-19 cases are soaring in Asia. Indonesia, Southeast Asia's most populous country, is now ranked second in the number of cases and deaths in Asia, after India. The compliance toward mask wearing, social distancing, and hand washing needs to be monitored to assess public behavioral changes that can reduce transmission.

objectiveThis study aimed to evaluate this compliance in Indonesia between October 2020 and May 2021 and demonstrate the use of the Bersatu Lawan COVID-19 (BLC) mobile app in monitoring this compliance.

methodsData were collected in real time by the BLC app from reports submitted by personnel of military services, police officers, and behavioral change ambassadors. Subsequently, the data were analyzed automatically by the system managed by the Indonesia National Task Force for the Acceleration of COVID-19 Mitigation.

resultsBetween October 1, 2020, and May 2, 2021, the BLC app generated more than 165 million reports, with 469 million people monitored and 124,315,568 locations under observation in 514 districts/cities in 34 provinces in Indonesia. This paper grouped them into 4 colored zones, based on the degree of compliance, and analyzed variations among regions and locations.

conclusionsCompliance rates vary among the 34 provinces and among the districts and cities of those provinces. However, compliance to mask wearing seems slightly higher than social distancing. This finding suggests that policy makers need to promote higher compliance in other measures, including social distancing and hand washing, whose efficacies have been proven to break the chain of transmission when combined with masks wearing.

Indexed as

COVID-19HumansIndonesiaMasksPandemicsSARS-CoV-2appAsiabehavioral changeCOVID-19, public health informaticsdigital healthhealth compliancemaskmobile appmonitoringpolicypublic health policysocial distancetransmission

Identifiers

PMID36219836
PMCPMC9683531

What OpenQuestion holds

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LicenceCC BY
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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.