Evidence map›Paper›PMID 35378185›Full record

ArticleThe Science of the total environment2022

The association between greenness exposure and COVID-19 incidence in South Korea: An ecological study.

Kyung-Shin Lee, Hye Sook Min, Jae-Hyun Jeon, Yoon-Jung Choi, Ji Hwan Bang, Ho Kyung Sung

Abstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

Kyung-Shin LeeResearch Institute for Public Health, National Medical Center, Seoul 04564, Republic of Korea. Electronic address: kslee0116@nmc.or.kr.
Hye Sook MinResearch Institute for Public Health, National Medical Center, Seoul 04564, Republic of Korea. Electronic address: hsmin2019@nmc.or.kr.
Jae-Hyun JeonResearch Institute for Public Health, National Medical Center, Seoul 04564, Republic of Korea; Department of Infectious disease, National Medical Center, Seoul 04564, Republic of Korea. Electronic address: mdjjh@nmc.or.kr.
Yoon-Jung ChoiNational Cancer Center Graduate School of Cancer Science and Policy, Gyeonggi-do 10408, Republic of Korea. Electronic address: pastelorange2012@gmail.com.
Ji Hwan BangOffice for the Central Infectious Disease Hospital, National Medical Center, Seoul 04564, Republic of Korea. Electronic address: roundbirch@gmail.com.
Ho Kyung SungResearch Institute for Public Health, National Medical Center, Seoul 04564, Republic of Korea; National Emergency Medical Center, National Medical Center, Seoul 04564, Republic of Korea. Electronic address: hokyungsung@nmc.or.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rapid spread of COVID-19 has caused an emergency situation worldwide. Investigating the association between environmental characteristics and COVID-19 incidence can be of the occurrence and transmission. The objective of this study was to evaluate the association between greenness exposure and COVID-19 cases at the district levels in South Korea. We also explored this association by considering several environmental indicators.

methodsDistrict-level data from across South Korea were used to model the cumulative count of COVID-19 cases per 100,000 persons between January 20, 2020, and February 25, 2021. Greenness exposure data were derived from the Environmental Geographic Information Service of the Korean Ministry of Environment. A negative binomial mixed model evaluated the association between greenness exposure and COVID-19 incidence rate at the district level. Furthermore, we assessed this association between demographic, socioeconomic, environmental statuses, and COVID-19 incidence.

resultsData from 239 of 250 districts (95.6%) were included in the analyses, resulting in 127.89 COVID-19 cases per 100,000 persons between January 20, 2020 and February 25, 2021. Several demographic and socioeconomic variables, districts with a higher rate of natural greenness exposure, were significantly associated with lower COVID-19 incidence rates (incidence rate ratio (IRR), 0.70; 95% confidence interval (CI), 0.54-0.90; P-value = 0.008) after adjusting covariates, but no evidence for the association between built greenness and COVID-19 incidence rates was found.

conclusionIn this ecological study of South Korea, we found that higher rates of exposure to natural greenness were associated with lower rates of COVID-19 cases.

Indexed as

COVID-19HumansIncidenceRepublic of KoreaResearchSocial ClassCoronavirus diseaseEcological studyEnvironmental healthGreennessIncidence rate

Identifiers

PMID35378185
PMCPMC8975592

What OpenQuestion holds

Textmetadata
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.