Evidence map›Paper›PMID 38328298›Full record

ArticleData in brief2024

A dataset on the socioeconomic and behavioural impacts in Sri Lanka through multiple waves of COVID-19.

Gayanthi A Ilangarathna, Lakshitha Ramanayake, Neranjan Senarath, Yasiru Ranasinghe, Harshana Weligampola, Wathsala Dedunupitiya, Isuru Thilakasiri, Roshan Godaliyadda, Parakrama Ekanayake, Vijitha Herath and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Gayanthi A IlangarathnaFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Lakshitha RamanayakeFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Neranjan SenarathFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Yasiru RanasingheFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Harshana WeligampolaFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Wathsala DedunupitiyaFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Isuru ThilakasiriFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Roshan GodaliyaddaFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Parakrama EkanayakeFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Vijitha HerathFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Janaka EkanayakeFaculty of Engineering, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Sakunthala YatigammanaFaculty of Arts, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Anuruddhika RathnayakeFaculty of Medicine, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Mallika PinnawalaFaculty of Arts, University of Peradeniya, Peradeniya 20400, Sri Lanka.
Muthucumaru MaheswaranDepartment of Electrical and Computer Engineering, McGill University, 845 Sherbrooke Street, West Montreal, Quebec, Canada.
Ganga ThilakaratneInstitute of Policy Studies, Colombo 00700, Sri Lanka.
Samath DharmarathneFaculty of Medicine, University of Peradeniya, Peradeniya 20400, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of the COVID-19 pandemic was diverse and disproportionate among nations, and population segments. The impacts of the disease and the containment strategies adopted are broad and cut across multiple facets of life, society, and the economy, which are intimately interlinked. Therefore, a large household survey was conducted to ascertain the socioeconomic impact and human behavior changes due to the pandemic and the containment strategies covering all provinces of Sri Lanka. The ramifications on mobility and human behavior, income, economic status, food consumption, education, access to health services and information, and cultural and psychological changes were explored, and the data are reported in this paper. The survey was conducted on 3020 households, selected using a multistage clustering technique, to assess the impacts of the pandemic through three distinctly identified waves/phases of the pandemic in Sri Lanka. This dataset will enable researchers and policymakers to analyze the impact of the pandemic through a multifaceted perspective enabling a more holistic approach to decision-making.

Indexed as

COVID-19Door-to-door surveyEducational ImpactHousehold SurveyImpact of COVID-19Socioeconomic impact

Identifiers

PMID38328298
PMCPMC10847452

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.