Evidence map›Paper›PMID 39443573›Full record

ArticleScientific reports2024

Indirect and direct effects of nighttime light on COVID-19 mortality using satellite image mapping approach.

Daisuke Yoneoka, Akifumi Eguchi, Shuhei Nomura, Takayuki Kawashima, Yuta Tanoue, Masahiro Hashizume, Motoi Suzuki

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

7 authors.

Daisuke YoneokaCenter for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Toyama, Shinjuku-Ku, Tokyo, 162-0052, Japan. yoneoka@niid.go.jp.
Akifumi EguchiCenter for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Shuhei NomuraDepartment of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
Takayuki KawashimaSchool of Computing, Institute of Science Tokyo, Tokyo, Japan.
Yuta TanoueFaculty of Marine Technology, Tokyo University of Marine Science and Technology, Tokyo, Japan.
Masahiro HashizumeDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Motoi SuzukiCenter for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Toyama, Shinjuku-Ku, Tokyo, 162-0052, Japan.

Funding

Japan Science and Technology Agency JPMJPR21RCMinistry of Health, Labour and Welfare 23HA2005
6 · The paper itself

Abstract

The COVID-19 pandemic has highlighted the importance of understanding environmental factors in disease transmission. This study aims to explore the spatial association between nighttime light (NTL) from satellite imagery and COVID-19 mortality. It particularly examines how NTL serves as a pragmatic proxy to estimate human interaction in illuminated nocturnal area, thereby impacting viral transmission dynamics to neighboring areas, which is defined as spillover effect. Analyzing 43,199 COVID-19 deaths from national mortality data during January 2020 and October 2022, satellite-derived NTL data, and various environmental and socio-demographic covariates, we employed the Spatial Durbin Error Model to estimate the direct and indirect effect of NTL on COVID-19 mortality. Higher NTL was initially directly linked to increased COVID-19 mortality but this association diminished over time. The spillover effect also changed: during the early 3rd wave (December 2020 - February 2021), a unit (nanoWatts/sr/cm

Indexed as

COVID-19SARS-CoV-2Satellite ImageryHumansLightPandemicsCOVID-19MortalityNighttime lightSatellite imagerySpillover effect

Identifiers

PMID39443573
PMCPMC11499862

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.