Evidence map›Paper›PMID 37689685›Full record

ArticleBMC public health2023

Spatial distribution of COVID-19 patients in Sri Lanka.

Lahiru Sandaruwan Galgamuwa, Nishan Madhushanka Liyanawahunge, Chamilka Gayashini Ratnayake, Navodi Mekala Hakmanage, Fahim Aslam, Samath D Dharmaratne

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Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lahiru Sandaruwan GalgamuwaDepartment of Parasitology, Faculty of Medicine, Sabaragamuwa University of Sri Lanka, Ratnapura, Sri Lanka. lahiruahs@yahoo.com.
Nishan Madhushanka LiyanawahungeDepartment of Biochemistry, Faculty of Medicine, Sabaragamuwa University of Sri Lanka, Ratnapura, Sri Lanka.
Chamilka Gayashini RatnayakeDepartment of Chemistry, Faculty of Science, University of Colombo, Colombo 03, 00300, Sri Lanka.
Navodi Mekala HakmanageDepartment of Statistics & Computer Science, University of Kelaniya, Kelaniya, 11600, Sri Lanka.
Fahim AslamUniversity of Bedfordshire, Luton, UK.
Samath D DharmaratneDepartment of Community Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA new type of viral pneumonia, which has been named Coronavirus disease (COVID-19) began in Wuhan, China in late 2019 and has spread across the world since then. It has claimed more than 370 million confirmed cases and over 5.6 million deaths have been reported globally by the end of January 2022. This study aimed to analyze the trends, highly-nuanced patterns, and related key results relative to COVID-19 epidemiology in Sri Lanka.

methodsData on COVID-19 from March 2020 to January 2022 were obtained from published databases maintained by the Epidemiology Unit of the Ministry of Health in Sri Lanka and information regarding populations in administrative districts was obtained from the Department of Census and Statistics, Sri Lanka. Descriptive spatiotemporal analysis and autocorrelations were analyzed using SPSS statistical software.

resultsIn Sri Lanka, the first case of COVID-19 was a Chinese national and the first local case was identified in the second week of March. As of 31

conclusionsCOVID-19 is an emerging public health problem in Western and Southern Sri Lanka where the population density is high. A decreasing trend of COVID-19 cases showed in all provinces after September 2021. Public awareness programs for the prevention and control of the disease in endemic regions are essential to reduce the incidence of this infection.

Indexed as

COVID-19Asian PeopleCensusesHumansSri LankaCOVID-19Seasonal variationSpatial distributionSri Lanka

Identifiers

PMID37689685
PMCPMC10492325

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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.