Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in U.S. counties

Emediegwu, Lotanna

doi:10.1016/j.jenvman.2021.112662

Cited by 8 publications

(4 citation statements)

References 58 publications

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“…and x it is a vector of exogenous (weather) covariates as these have been cited as important influencers of mortality [9,10]. I show in the robustness section that the results are sensitive to the exclusion of these exogenous controls.…”

Section: Methodsmentioning

confidence: 87%

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COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states

Emediegwu

2022

Preprint

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To analyse the endogenous connection between COVID-19 and non-communicable diseases (NCDs) in US states. I employ a panel VAR approach to investigate the endogenous interactions between deaths due to covid (COV) and NCDs in US states. The NCDs considered are respiratory (RES) and circulatory (CIR) diseases. I use Arellano–Bond’s dynamic panel equations to supply estimates for the dynamic relationship between COVID-19 and NCDs. Thereafter, I estimate the orthogonalized impulse response functions (IRFs), which help isolate the response of a variable to an orthogonal shock in another variable of interest. The results show evidence of a significant positive relationship between mortality due to COVID-19 and NCDs. Most impacts peak after two weeks, corresponding with the latent period between covid infection and mortality. Besides, I find that while a positive shock to mortality from respiratory illnesses affects that from circulatory illnesses, the reverse is not the case. Lastly, these results differ by gender and are robust to several sensitivity checks, so large deviations are unexpected. The paper summarises the findings and proffers potential policies and interventions (e.g. providing cancer scanners in supermarkets) that could reduce the reinforcing effects of COVID-19 on NCDs.

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Section: Methodsmentioning

confidence: 87%

“…This decision follows from several papers [11]. Although, other studies [9] use a less lag period use a longer lag period to account for the mortality rates, there is evidence of no significant difference in the number of lags [12].…”

Section: Methodsmentioning

confidence: 99%

COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states

Emediegwu

2022

Preprint

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“…On a contrary, a few studies have also reported that meteorological observations are not significantly associated with the outbreak pattern (Iqbal et al, 2020;Jahangiri et al, 2020;Jamil et al, 2020;Mollalo et al, 2020;Shi et al, 2020;Xie and Zhu, 2020). Studies carried out by Bochenek et al, 2021;Borah et al, 2020;Briz-Redón and Serrano-Aroca, 2020;Emediegwu, 2021;Guo et al, 2021;Mecenas et al, 2020;Runkle et al, 2020;Ş ahin, 2020;Sil and Kumar, 2020 suggested that warm and humid condition seem to foreshorten the proliferation of COVID-19. On the other hand, (Al-Rousan and Al-Najjar, 2020;Awasthi et al, 2020;Bashir et al, 2020a;Fawad et al, 2021;Gupta and Pradhan, 2020a;Kumar and Kumar, 2020;Pani et al, 2020;Sangkham et al, 2021;Selcuk et al, 2021;Sharma et al, 2021) reported that hotter days might be more susceptible for COVID-19 dissemination while the role of humidity was still incongruous (Aidoo et al, 2021;Auler et al, 2020;Gupta et al, 2020c;Kumar, 2020;Yuan et al, 2021).…”

Section: Introductionmentioning

confidence: 97%

Correlation between the environmental parameters with outbreak pattern of COVID-19: A district level investigation based on yearlong period in India

Gupta

Saha

2021

Preprint

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The present study has investigated the role of regional meteorology and air quality parameters in the outbreak pattern of COVID-19 pandemic in India. Using the remote sensing based dataset of 12 environmental variables we correlated infective case counts at a district level in India. Our investigation carried out on the circumstantial data from more than 300 major affected districts in India and found that air quality parameters are playing very crucial role in this outbreak. Among the air pollutants, O3 was better correlating with infection counts followed by AOD, CO, NO2, BC and SO2. We also observed that among the weather parameters air temperature, incoming shortwave radiation, wind speed are positively and significantly associate with outbreak pattern and precipitation and humidity are negatively correlated with confirmed cases; only cloud cover has no significant relation. We noted that coastal districts in the both coast of India and districts located in the plain and low-lying areas have experienced bitter situation during this pandemic. Our study suggests that improving air quality with proper strict regulations and complete lockdown during the peak of pandemic could reduce the misfortune in all over India.

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“…Our work can be fitted into three branches of literature. First, this study relates to a new wave of overview papers (e.g., Hsiang, 2016;Dell, Jones, & Olken, 2014) and recent empirical studies (e.g., Emediegwu, 2021;Harari & Ferrara, 2018;Dell et al, 2012) that outline the importance of identifying the influence of past or neighbors' meteorological events. The argument is that the use of time-series identification of weather shocks necessitates accounting for these ripple/delayed effects in space and time so that a local transient impact is not misrepresented as a persistent response.…”

Section: Introductionmentioning

confidence: 99%

The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach

2022

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Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in U.S. counties

Cited by 8 publications

References 58 publications

COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states

COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states

Correlation between the environmental parameters with outbreak pattern of COVID-19: A district level investigation based on yearlong period in India

The impacts of climate change on agriculture in sub-Saharan Africa: A spatial panel data approach

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