Evidence map›Paper›PMID 33610582›Full record

ArticleEnvironmental research2021

The role of seasonality in the spread of COVID-19 pandemic.

Xiaoyue Liu, Jianping Huang, Changyu Li, Yingjie Zhao, Danfeng Wang, Zhongwei Huang, Kehu Yang

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed, 3 pooled it
23.2field-weighted citation impact, top 1% 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

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

151 citing papers in PubMed, 3 syntheses or guidelines pooled it, 286 citations in OpenAlex.

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91 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Xiaoyue LiuCollege of Atmospheric Sciences, Lanzhou University, Lanzhou, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China.
Jianping HuangCollege of Atmospheric Sciences, Lanzhou University, Lanzhou, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China. Electronic address: hjp@lzu.edu.cn.
Changyu LiCollege of Atmospheric Sciences, Lanzhou University, Lanzhou, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China.
Yingjie ZhaoCollaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China.
Danfeng WangCollaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou, China.
Zhongwei HuangCollege of Atmospheric Sciences, Lanzhou University, Lanzhou, China.
Kehu YangSchool of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China.
Lanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been reported that the transmission of COVID-19 can be influenced by the variation of environmental factors due to the seasonal cycle. However, its underlying mechanism in the current and onward transmission pattern remains unclear owing to the limited data and difficulties in separating the impacts of social distancing. Understanding the role of seasonality in the spread of the COVID-19 pandemic is imperative in formulating public health interventions. Here, the seasonal signals of the COVID-19 time series are extracted using the EEMD method, and a modified Susceptible, Exposed, Infectious, Recovered (SEIR) model incorporated with seasonal factors is introduced to quantify its impact on the current COVID-19 pandemic. Seasonal signals decomposed via the EEMD method indicate that infectivity and mortality of SARS-CoV-2 are both higher in colder climates. The quantitative simulation shows that the cold season in the Southern Hemisphere countries caused a 59.71 ± 8.72% increase of the total infections, while the warm season in the Northern Hemisphere countries contributed to a 46.38 ± 29.10% reduction. COVID-19 seasonality is more pronounced at higher latitudes, where larger seasonal amplitudes of environmental indicators are observed. Seasonality alone is not sufficient to curb the virus transmission to an extent that intervention measures are no longer needed, but health care capacity should be scaled up in preparation for new surges in COVID-19 cases in the upcoming cold season. Our study highlights the necessity of considering seasonal factors when formulating intervention strategies.

Indexed as

COVID-19PandemicsHumansPublic HealthSARS-CoV-2SeasonsCOVID-19Intervention strategiesSeasonal cycleTransmission pattern

Identifiers

PMID33610582
PMCPMC7892320
OpenAlexW3129826725

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.