Evidence map›Paper›PMID 34030332›Full record

ArticleThe Science of the total environment2021

Association between meteorological factors and daily new cases of COVID-19 in 188 countries: A time series analysis.

Jie Yuan, Yu Wu, Wenzhan Jing, Jue Liu, Min Du, Yaping Wang, Min Liu

Abstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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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.

Jie YuanDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China.
Yu WuDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China.
Wenzhan JingDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China.
Jue LiuDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China.
Min DuDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China.
Yaping WangDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China.
Min LiuDepartment of Epidemiology and Biostatics, School of Public Health, Peking University, No. 38, Xueyuan Road, Haidian District, Beijing 100191, China. Electronic address: liumin@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By 31 December 2020, Coronavirus disease 2019 (COVID-19) had been prevalent worldwide for one year, and most countries had experienced a complete seasonal cycle. The role of the climate and environment are essential factors to consider in transmission. We explored the association between global meteorological conditions (including mean temperature, wind speed, relative humidity and diurnal temperature range) and new cases of COVID-19 in the whole past year. We assessed the relative risk of meteorological factors to the onset of COVID-19 by using generalized additive models (GAM) and further analyzed the hysteresis effects of meteorological factors using the Distributed Lag Nonlinear Model (DLNM). Our findings revealed that the mean temperature, wind speed and relative humidity were negatively correlated with daily new cases of COVID-19, and the diurnal temperature range was positively correlated with daily new cases of COVID-19. These relationships were more apparent when the temperature and relative humidity were lower than their average value (21.07°Cand 66.83%). The wind speed and diurnal temperature range were higher than the average value(3.07 m/s and 9.53 °C). The maximum RR of mean temperature was 1.30 under -23°C at lag ten days, the minimum RR of wind speed was 0.29 under 12m/s at lag 24 days, the maximum RR of range of temperature was 2.21 under 28 °C at lag 24 days, the maximum RR of relative humidity was 1.35 under 4% at lag 0 days. After a subgroup analysis of the countries included in the study, the results were still robust. As the Northern Hemisphere enters winter, the risk of global covid-19 remains high. Some countries have ushered in a new round of COVID-19 epidemic. Thus, active measures must be taken to control the source of infection, block transmission and prevent further spread of COVID-19 in winter.

Indexed as

COVID-19ChinaHumansHumidityMeteorological ConceptsSARS-CoV-2TemperatureCOVID-19HumidityRelativeTemperatureWind speed

Identifiers

PMID34030332
PMCPMC7986348

What OpenQuestion holds

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Registered trials

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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.