Non-linear correlation between daily new cases of COVID-19 and meteorological factors in 127 countries

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

doi:10.1016/j.envres.2020.110521

Cited by 77 publications

(64 citation statements)

References 42 publications

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“…Averaging the correlation coefficients throughout the states, the minimum of − 0.5223 was obtained. This negative correlation is comparable up to certain ranges of minimum, maximum and average temperature to the studies in Brazil (with both average ranging from 20.9 to 27 C and maximum temperature from 23.1 to 34.2 C in 57 and with average temperature ranging from 16.8 to 27.4 C in 86 ) as well as the data in 127 countries (with average temperature from − 17.8 to 42.9 C in 87 ). In New York 88 , the correlation was positive and insignificant for average and minimum temperature but positive and insignificant for the maximum temperature.…”

Section: Resultssupporting

confidence: 84%

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Interrelationship between daily COVID-19 cases and average temperature as well as relative humidity in Germany

Ganegoda

Wijaya

Amadi

et al. 2021

Sci Rep

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COVID-19 pandemic continues to obstruct social lives and the world economy other than questioning the healthcare capacity of many countries. Weather components recently came to notice as the northern hemisphere was hit by escalated incidence in winter. This study investigated the association between COVID-19 cases and two components, average temperature and relative humidity, in the 16 states of Germany. Three main approaches were carried out in this study, namely temporal correlation, spatial auto-correlation, and clustering-integrated panel regression. It is claimed that the daily COVID-19 cases correlate negatively with the average temperature and positively with the average relative humidity. To extract the spatial auto-correlation, both global Moran’s $${\mathscr {I}}$$ I and global Geary’s $${\mathscr {C}}$$ C were used whereby no significant difference in the results was observed. It is evident that randomness overwhelms the spatial pattern in all the states for most of the observations, except in recent observations where either local clusters or dispersion occurred. This is further supported by Moran’s scatter plot, where states’ dynamics to and fro cold and hot spots are identified, rendering a traveling-related early warning system. A random-effects model was used in the sense of case-weather regression including incidence clustering. Our task is to perceive which ranges of the incidence that are well predicted by the existing weather components rather than seeing which ranges of the weather components predicting the incidence. The proposed clustering-integrated model associated with optimal barriers articulates the data well whereby weather components outperform lag incidence cases in the prediction. Practical implications based on marginal effects follow posterior to model diagnostics.

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Section: Resultssupporting

confidence: 84%

“…Data from Brazil ranging from 69.5 to 90.8% with no lag 50 , 57 showed that the correlation was positive but not significant with minimum and maximum average humidity. Data from 127 countries 87 led to the conclusion that the relative humidity was correlated negatively and insignificantly with daily new cases.…”

Section: Resultsmentioning

confidence: 99%

Interrelationship between daily COVID-19 cases and average temperature as well as relative humidity in Germany

Ganegoda

Wijaya

Amadi

et al. 2021

Sci Rep

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“…An exclusive reflection of some studies on each parameter is shown in Table 1 . Although inconsistent correlation is witnessed among COVID-19 and temperature ( Ahmadi, Sharifi, Dorosti, Ghoushchi, & Ghanbari, 2020 ; Briz-Redón & Serrano-Aroca, 2020 ; Hoang & Tran, 2021 ; Iqbal et al, 2020 ; Shahzad et al, 2020 ) and equally inconsistent among COVID-19 and humidity ( Ahmadi et al, 2020 ; Selcuk et al, 2021 ; Shi, Dong et al, 2020 ; Shi, Gao et al, 2020 ; Yuan et al, 2020 ). Selcuk et al (2021) reported a positive correlation between precipitation and COVID-19 transmission for each average inch per day of rainfall and an increase of about 56 cases/day was observed.…”

Section: Role Of Airborne Pollens and Weather Conditions In Explaininmentioning

confidence: 99%

Does airborne pollen influence COVID-19 outbreak?

Ravindra

Goyal

Mor

2021

Sustainable Cities and Society

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The fast spread of SARS-CoV-2 presented a worldwide challenge to public health, economy, and educational system affecting human society’s welfare. With high transmission rates and increasing evidence of COVID-19 spread via bioaerosols. The current review was conducted to examine airborne pollens impact on COVID-19 transmission and to identify the major gaps for post-pandemic research. The study used all key terms to identify revenant literature and observation were collated for the current research. Based on the existing literature, there is a potential association between pollen bioaerosols and COVID-19. There are few studies focusing on the impact of airborne pollen on SARS-CoV-2, which could be useful to advance future research. Allergic rhinitis and asthma patients were found to have pre-modified immune activation, which could help to provide protection against COVID-19. However, does airborne pollen acts as a potent carrier for SARS-CoV-2 transport, dispersal and its proliferation still require further multidisciplinary research. Further, a clear conclusion cannot be drawn due to limited evidence and hence more research is needed to show how pollen bioaerosols could affect virus survivals. The small but growing literature review focuses on searching for every possible answer to provide additional security layers to overcome near future corona-like infectious diseases.

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“…Differences in the dynamics of the COVID-19 pandemic across the world result from different mitigation strategies [ 10 , 12 ]. However, more and more studies indicate the role of environmental factors in COVID-19 transmission [ 13 , 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…Seasonality is a long-recognized attribute of virus infection of humans [ 17 , 18 , 19 , 20 ]. Seasonal changes in the transmission of respiratory viruses depend on meteorological factors [ 13 , 17 , 18 , 19 , 20 ]. There is a growing body of evidence on the potential seasonality of COVID-19 [ 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of Meteorological Conditions on the Dynamics of the COVID-19 Pandemic in Poland

Bochenek

Jankowski

Gruszczyńska

et al. 2021

IJERPH

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Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the novel coronavirus. The role of environmental factors in COVID-19 transmission is unclear. This study aimed to analyze the correlation between meteorological conditions (temperature, relative humidity, sunshine duration, wind speed) and dynamics of the COVID-19 pandemic in Poland. Data on a daily number of laboratory-confirmed COVID-19 cases and the number of COVID-19-related deaths were gatheredfrom the official governmental website. Meteorological observations from 55 synoptic stations in Poland were used. Moreover, reports on the movement of people across different categories of places were collected. A cross-correlation function, principal component analysis and random forest were applied. Maximum temperature, sunshine duration, relative humidity and variability of mean daily temperature affected the dynamics of the COVID-19 pandemic. An increase intemperature and sunshine hours decreased the number of confirmed COVID-19 cases. The occurrence of high humidity caused an increase in the number of COVID-19 cases 14 days later. Decreased sunshine duration and increased air humidity had a negative impact on the number of COVID-19-related deaths. Our study provides information that may be used by policymakers to support the decision-making process in nonpharmaceutical interventions against COVID-19.

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Non-linear correlation between daily new cases of COVID-19 and meteorological factors in 127 countries

Cited by 77 publications

References 42 publications

Interrelationship between daily COVID-19 cases and average temperature as well as relative humidity in Germany

Interrelationship between daily COVID-19 cases and average temperature as well as relative humidity in Germany

Does airborne pollen influence COVID-19 outbreak?

Impact of Meteorological Conditions on the Dynamics of the COVID-19 Pandemic in Poland

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