Evidence map›Paper›PMID 33848552›Full record

ArticleEnvironmental research2021

The effect of human settlement temperature and humidity on the growth rules of infected and recovered cases of COVID-19.

Pius Babuna, Chuanliang Han, Meijia Li, Amatus Gyilbag, Bian Dehui, Doris Abra Awudi, Roberto Xavier Supe Tulcan, Saini Yang, Xiaohua Yang

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

9 authors.

Pius BabunaSchool of Environment, Beijing Normal University, Beijing 100875, China; Department of Geography and Environmental Science, The University of Reading, Whiteknights, P.O. Box 227, Reading RG6 6AB, UK.
Chuanliang HanState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Meijia LiFaculty of Psychology and Center for Neuroscience, Vrije University Brussel, 1050 Brussels, Belgium.
Amatus GyilbagChinese Academy of Agricultural Sciences (CAAS), Institute of Environment and Sustainable Development in Agriculture (GSCAAS), Haidian District, Beijing 100875, China.
Bian DehuiSchool of Environment, Beijing Normal University, Beijing 100875, China.
Doris Abra AwudiDepartment of Nutrition and Food Hygiene, School of Public Health, Nanjing Medical University, Longmian Avenue 101, Nanjing 211166, China.
Roberto Xavier Supe TulcanSchool of Environment, Beijing Normal University, Beijing 100875, China.
Saini YangAcademy of Disaster Reduction and Emergency Management, Ministry of Emergency Management and Ministry of Education, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China; Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China. Electronic address: yangsaini@bnu.edu.cn.
Xiaohua YangSchool of Environment, Beijing Normal University, Beijing 100875, China. Electronic address: xiaohuayang@bnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the impact of humidity and temperature on the spread of COVID-19 (SARS-CoV-2) by statistically comparing modelled pandemic dynamics (daily infection and recovery cases) with daily temperature and humidity of three climate zones (Mainland China, South America and Africa) from January to August 2020. We modelled the pandemic growth using a simple logistic function to derive information of the viral infection and describe the growth of infected and recovered cases. The results indicate that the infected and recovered cases of the first wave were controlled in China and managed in both South America and Africa. There is a negative correlation between both humidity (r = - 0.21; p = 0.27) and temperature (r = -0.22; p = 0.24) with spread of the virus. Though this study did not fully encompass socio-cultural factors, we recognise that local government responses, general health policies, population density and transportation could also affect the spread of the virus. The pandemic can be managed better in the second wave if stricter safety protocols are implemented. We urge various units to collaborate strongly and call on countries to adhere to stronger safety protocols in the second wave.

Indexed as

COVID-19AfricaChinaHumansHumiditySARS-CoV-2TemperatureCOVID-19HumidityPandemic growthSARS-CoV-2Socio-cultural factorsTemperature

Identifiers

PMID33848552
PMCPMC8049428

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.