Impact of climate and public health interventions on the COVID-19 pandemic: a prospective cohort study

Jüni, Peter; Rothenbühler, Martina; Bobos, Pavlos; Thorpe, Kevin E.; Costa, Bruno R. da; Fisman, David N.; Slutsky, Arthur S.; Gesink, Dionne

doi:10.1503/cmaj.200920

Cited by 213 publications

(266 citation statements)

References 26 publications

(28 reference statements)

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“…Small deviations could be explained by modest variations between countries, such as the conditions for defining a patient as a SARS‐CoV‐2 carrier, or by differences in mobile usage across areas. Notably, different geographical areas also differ in numerous other attributes that may affect the coronavirus spread and induced mortality rates, e.g., humidity, wind speed, ethnicity, viral genotypic variation, and cultural habits (Coccia, 2020; Jüni et al , 2020). One eminent example emerging from our analysis is Japan, where a relatively low mortality rate occurred even though mobility reduction took place relatively late.…”

Section: Discussionmentioning

confidence: 99%

COVID ‐19 pandemic‐related lockdown: response time is more important than its strictness

et al. 2020

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The rapid spread of SARS‐CoV‐2 and its threat to health systems worldwide have led governments to take acute actions to enforce social distancing. Previous studies used complex epidemiological models to quantify the effect of lockdown policies on infection rates. However, these rely on prior assumptions or on official regulations. Here, we use country‐specific reports of daily mobility from people cellular usage to model social distancing. Our data‐driven model enabled the extraction of lockdown characteristics which were crossed with observed mortality rates to show that: (i) the time at which social distancing was initiated is highly correlated with the number of deaths, r2 = 0.64, while the lockdown strictness or its duration is not as informative; (ii) a delay of 7.49 days in initiating social distancing would double the number of deaths; and (iii) the immediate response has a prolonged effect on COVID‐19 death toll.

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Section: Discussionmentioning

confidence: 99%

COVID ‐19 pandemic‐related lockdown: response time is more important than its strictness

et al. 2020

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“…Regarding COVID-19, negative or positive correlations with air temperature, and negative correlations with humidity (high humidity reduces risk) have been reported. [19][20][21][22][23] Thus, the same tendencies as seasonal influenza have been observed. The authors note that the main modes of transmission of COVID-19 virus are infection through droplets and contact, and that airborne transmission can occur in environments where there are higher levels of aerosols generated.…”

Section: Relationship Between Environmental Conditions and Covid-19 Imentioning

confidence: 58%

Measures against COVID‐19 concerning Summer Indoor Environment in Japan

Hayashi

Yanagi

Azuma

et al. 2020

Japan Architectural Review

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Information on airconditioning and ventilation has been continuously disseminated in response to the Japanese Government's announcement of the need for appropriate ventilation measures against the new coronavirus disease (COVID-19), and the issuing of an emergency presidential discourse by the presidents of Engineering Societies. In this paper, we add to the information the latest knowledge on the behavior of SARS-CoV-2 in air, describe its diffusion characteristics in the built environment, and summarize the effects of temperature and humidity on the virus. Then we recommend varying approaches of airconditioning control for facility type.

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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%

“…A longer study period and more sampling of affected cities might better represent the association between meteorological conditions and COVID-19 incidence. It has been reported that, besides being influenced by meteorological factors, the number of policies such as the limitation of public transport [38,43,44] etc. In Indonesia, the number of daily confirmed cases at national level is closely correlated with the extent of testing conducted with a coefficient correlation of 0.71 suggesting that the detected confirmed cases depend largely on the extent of testing conducted by the government (Figure 7).…”

Section: Discussionmentioning

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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Impact of climate and public health interventions on the COVID-19 pandemic: a prospective cohort study

Cited by 213 publications

References 26 publications

COVID ‐19 pandemic‐related lockdown: response time is more important than its strictness

COVID ‐19 pandemic‐related lockdown: response time is more important than its strictness

Measures against COVID‐19 concerning Summer Indoor Environment in Japan

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

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