Evidence map›Paper›PMID 34966171›Full record

ArticleScientific reports2021

The impact of temperature on the transmissibility potential and virulence of COVID-19 in Tokyo, Japan.

Lisa Yamasaki, Hiroaki Murayama, Masahiro Hashizume

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Lisa Yamasaki *Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. lisa@m.u-tokyo.ac.jp.
Hiroaki Murayama *School of Medicine, International University of Health and Welfare, Kozunomori 4-3, Narita City, Chiba, 286-8686, Japan.
Masahiro HashizumeDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.

Funding

The Japan Science and Technology Agency (JST) JPMJSC20E4The Ministry of Health, Labour and Welfare of Japan JPMH20HA2007
6 · The paper itself

Abstract

Assessing the impact of temperature on COVID-19 epidemiology is critical for implementing non-pharmaceutical interventions. However, few studies have accounted for the nature of contagious diseases, i.e., their dependent happenings. We aimed to quantify the impact of temperature on the transmissibility and virulence of COVID-19 in Tokyo, Japan, employing two epidemiological measurements of transmissibility and severity: the effective reproduction number ([Formula: see text]) and case fatality risk (CFR). We estimated the [Formula: see text] and time-delay adjusted CFR and to subsequently assess the nonlinear and delayed effect of temperature on [Formula: see text] and time-delay adjusted CFR. For [Formula: see text] at low temperatures, the cumulative relative risk (RR) at the first temperature percentile (3.3 °C) was 1.3 (95% confidence interval (CI): 1.1-1.7). As for the virulence to humans, moderate cold temperatures were associated with higher CFR, and CFR also increased as the temperature rose. The cumulative RR at the 10th and 99th percentiles of temperature (5.8 °C and 30.8 °C) for CFR were 3.5 (95% CI: 1.3-10.0) and 6.4 (95% CI: 4.1-10.1). Our results suggest the importance to take precautions to avoid infection in both cold and warm seasons to avoid severe cases of COVID-19. The results and our proposed approach will also help in assessing the possible seasonal course of COVID-19 in the future.

Indexed as

TemperatureBasic Reproduction NumberCold TemperatureCOVID-19HumansMortalityPandemicsRiskSARS-CoV-2SeasonsSeverity of Illness IndexTokyoVirulence

Identifiers

PMID34966171
PMCPMC8716537

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.