Evidence map›Paper›PMID 37415439›Full record

ArticleOsong public health and research perspectives2023

Correlations between regional characteristics of counties and the ratio of intracounty to extracounty sources of COVID-19 in Gangwon Province, Republic of Korea.

Seungmin Jeong, Chaeyun Lim, Sunhak Bae, Youngju Nam, Eunmi Kim, Myeonggi Kim, Saerom Kim, Yeojin Kim

Open access · diamondAbstract read
In one paragraph

Article in Osong public health and research perspectives, 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
0.4field-weighted citation impact, top 33% 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

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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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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 2 institutions in 1 country.

Seungmin JeongGangwon Centre for Infectious Diseases, Gangwon, Republic of Korea.
Chaeyun LimGangwon Centre for Infectious Diseases, Gangwon, Republic of Korea.
Sunhak BaeDepartment of Geography Education, College of Education, Kangwon National University, Gangwon, Republic of Korea.
Youngju NamGangwon Centre for Infectious Diseases, Gangwon, Republic of Korea.
Eunmi KimGangwon Centre for Infectious Diseases, Gangwon, Republic of Korea.
Myeonggi KimGangwon Centre for Infectious Diseases, Gangwon, Republic of Korea.
Saerom KimGangwon Centre for Infectious Diseases, Gangwon, Republic of Korea.
Yeojin KimGangwon Centre for Infectious Diseases, Gangwon, Republic of Korea.
Kangwon National University · KRKangwon National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to examine the correlations between the regional characteristics of counties in Gangwon Province, Republic of Korea and the ratio of intracounty to extracounty sources of coronavirus disease 2019 (COVID-19) infection.

methodsThe region of the infectious contact was analysed for each COVID-19 case reported in Gangwon Province between February 22, 2020 and February 7, 2022. The population, population density, area, the proportion of urban residents, the proportion of older adults (>65 years), financial independence, and the number of adjacent counties were assessed for each of the 18 counties in Gangwon Province. Correlation coefficients between regional characteristics and the ratio of intracounty to extracounty infections were calculated.

resultsIn total, 19,645 cases were included in this study. The population, population density, proportion of older adults, and proportion of urban residents were significantly correlated with the ratio of intracounty to extracounty infections. A stratified analysis with an age cut-point of 65 years showed that the proportion of older adults had a significant negative correlation with the ratio of intracounty to extracounty infections. In other words, the proportions of extracounty infections were higher in countries with higher proportions of older adults.

conclusionRegions with ageing populations should carefully observe trends in infectious disease outbreaks in other regions to prevent possible transmission.

Indexed as

COVID-19Infection controlLocal government

Identifiers

PMID37415439
PMCPMC10522826
OpenAlexW4379740129

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.