A spatio-temporal analysis for exploring the effect of temperature on COVID-19 early evolution in Spain

Briz‐Redón, Álvaro; Serrano‐Aroca, Ãngel

doi:10.1016/j.scitotenv.2020.138811

Cited by 285 publications

(287 citation statements)

References 36 publications

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“…Shi et al (2020), by contrast, noted that temperatures over 8°–10 °C decreased the daily incidence of COVID-19 cases. Other specialists, on the other hand, namely Iqbal et al (2020) and Briz-Redón and Serrano-Aroca (2020) , found no evidence of a link between rates of COVID-19 cases and temperature in either China or Spain.…”

Section: Resultsmentioning

confidence: 92%

Analysis of the scientific production of the effect of COVID-19 on the environment: A bibliometric study

Casado‐Aranda

Sánchez‐Fernández

Viedma-del-Jesús

2021

Environmental Research

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The fight against COVID-19 since January 2020 has become the top priority of more than 200 countries. In order to offer solutions to eradicate this global pandemic, the scientific community has published hundreds of articles covering a wide range of areas of knowledge. With the aim of synthesizing these publications, academics are resorting to bibliometric analyses from the perspectives of the disciplines such as biology, medicine, socioeconomics and tourism. Yet no bibliometric analysis has explored the diffuse and little-known growth of COVID-19 scientific publications in the field of environmental studies. The current study is the first of this type to fill this research gap. It has resorted to SciMAT software to evaluate the main topics, authors and journals of publications on the subject of COVID-19 combined with environmental studies spanning the period between 1 December 2019 and 6 September 2020. The search yielded a collection of 440 articles published in scientific journals indexed on by Web of Science and Scopus databases. These publications can be broken down into six main themes: (i) a sharp reduction in air pollution and an improvement of the level of water pollution; (ii) the relationship of wind speed (positive), ultraviolet radiation (positive) and humidity (negative) with the rate of infections; (iii) the effect of the pandemic on the food supply chain and waste habits; (iv) wastewater monitoring offers a great potential as an early warning sign of COVID-19 transmission; (v) artificial intelligence and smart devices can be of great use in monitoring citizen mobilization; and (vi) the lessons gleaned from the pandemic that help define actions to mitigate climate change. The results of the current study therefore offer an agenda for future research and constitute a starting point for academics in the field of environmental studies to evaluate the effects of COVID-19.

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Section: Resultsmentioning

confidence: 92%

Analysis of the scientific production of the effect of COVID-19 on the environment: A bibliometric study

Casado‐Aranda

Sánchez‐Fernández

Viedma-del-Jesús

2021

Environmental Research

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“…Yet, there is limited agreement on the shape and magnitude of those relationships. While studies find correlations between pandemic severity and variations in temperature (9,(15)(16)(17)(18)(19)(20)(21)(22), relative and absolute humidity (9,(16)(17)(18)(19)(20)(21)(22)(23)(24), ultraviolet light (19), wind speed (18,21), visibility, and precipitation (17), others (19,(25)(26)(27) indicate weaker, inconsistent, or no relationships. A recent review finds inconclusive evidence for the role of weather in COVID-19 transmission (1) and others caution against interpreting weather as a key driver due to this uncertainty (28).…”

Section: Introductionmentioning

confidence: 99%

Weather Conditions and COVID-19 Transmission: Estimates and Projections

Rahmandad

Gupta

et al. 2020

Preprint

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Understanding how environmental factors impact COVID-19 transmission informs global containment efforts. We studied the relative risk of COVID-19 due to weather and ambient air pollution. We estimated the daily reproduction number at 3,739 global locations, controlling for the delay between infection and detection, associating those with local weather conditions and ambient air pollution. Controlling for location-specific fixed effects and local policies, we found a negative relationship between the estimated reproduction number and temperatures above 25 o C, a U-shaped relationship with outdoor ultraviolet exposure, and weaker positive associations with air pressure, wind speed, precipitation, diurnal temperature, SO 2 and ozone. We projected the relative risk of COVID-19 transmission due to environmental factors in 1,072 global cities. Our projections suggest warmer temperature and moderate outdoor ultraviolet exposure may offer a modest reduction in transmission; however, upcoming changes in weather alone will not be enough to fully contain the transmission of COVID-19.

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“…Our work also contributes to the insight into the characteristics of COVID-19 cases particularly in tropical climates which are still limited in the literature [17]. It is known that most of the research on the link of weather data and COVID-19 cases available in the literature comes from sub-tropical countries [29,38,39].…”

Section: Discussionmentioning

confidence: 97%

“…average temperature (Tave), minimum temperature (Tmin), maximum temperature (Tmax) and average relative humidity (RH). Those are variables most frequently investigated in previous COVID-19 studies [19,20,29,30]. T-ave and RH were computed from hourly observations (24 data per day).…”

Section: Data and Methodsologymentioning

confidence: 99%

The association between COVID-19 data and meteorological factors in Indonesia

Supari

Nuryanto

Setiawan

et al. 2020

Preprint

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On March 2, 2020, the first Coronavirus Disease (COVID-19) case was reported in Jakarta, Indonesia. One and half month later (15/05/2020), the cumulative number of infection cases was 16496 with a total of 1076 mortalities. This study is aimed to investigate the possible role of weather in the early cases of COVID-19 incidence in six selected cities in Indonesia. Daily data of temperature and relative humidity from weather stations nearby each city were collected during the period 3 March - 30 April 2020, together with data of COVID-19 cases. Correlation tests and regression analysis were performed to examine the association of those two data series. In addition, we analysed the distribution of COVID-19 with respect to weather data to estimate the effective range of weather data supporting COVID-19 incidence. Our results reveal that weather data is generally associated with COVID-19 incidence. The daily average temperature (T-ave) and relative humidity (RH) presents significant positive and negative correlation with COVID-19 data, respectively. However, the correlation coefficients are weak with the strongest correlations found at 5 day lag time i.e. 0.37 (-0.41) for T-ave (RH). The regression analysis consistently confirmed this relation. The distribution analysis reveals that the majority of COVID-19 cases in Indonesia occurred in the daily temperature range of 25-31oC and relative humidity of 74-92%. Our findings suggest that COVID-19 incidence in Indonesia has a weak association with weather conditions. Therefore, non-meteorological factors seem to play a larger role and should be given greater consideration in preventing the spread of COVID-19.

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A spatio-temporal analysis for exploring the effect of temperature on COVID-19 early evolution in Spain

Cited by 285 publications

References 36 publications

Analysis of the scientific production of the effect of COVID-19 on the environment: A bibliometric study

Analysis of the scientific production of the effect of COVID-19 on the environment: A bibliometric study

Weather Conditions and COVID-19 Transmission: Estimates and Projections

The association between COVID-19 data and meteorological factors in Indonesia

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