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Nexus between air pollution and NCOV-2019 in China: Application of negative binomial regression analysis

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TLDR
In this paper, a negative binomial regression (NBR) model was applied to examine the difference between the number of people infected with the novel coronavirus (NCOV-2019) and deaths in China.
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This article is published in Process Safety and Environmental Protection.The article was published on 2021-06-01. It has received 163 citations till now.

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Assessing the Impact of the Digital Economy on Green Total Factor Energy Efficiency in the Post-COVID-19 Era

TL;DR: Wang et al. as mentioned in this paper investigated the relationship between the digital economy and green total factor energy efficiency (GTFEE), and found that digital economy can significantly contribute to GTFEE by improving economic growth, urbanization level, R&D investment and human capital.
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The role of innovation investment and institutional quality on green total factor productivity: evidence from 46 countries along the "Belt and Road".

TL;DR: Based on the panel data of 46 countries in "Belt and Road" (B&R) from 2004 to 2016, the authors studies the impact of innovation investment and institutional quality on green total factor productivity (GTFP).
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Assessing the impact of air pollution and climate seasonality on COVID-19 multiwaves in Madrid, Spain.

TL;DR: In this article, the transmission of SARS-CoV-2 pathogens in Madrid metropolitan region was investigated from an urban context associated with seasonal variability of climate and air pollution drivers, based on descriptive statistics and regression methods of in-situ and geospatial daily time series data.
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Modeling the influence of critical factors on the adoption of green energy technologies

TL;DR: In this article , the authors investigated the impact of various factors on consumers' desire to adopt green energy technologies in the country, including environmental concern, green energy technology awareness, openness to experience, and discomfort.
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Assessing the impact of air pollution and climate seasonality on COVID-19 multiwaves in Madrid, Spain

TL;DR: In this article , the transmission of SARS-CoV-2 pathogens in Madrid metropolitan region was investigated from an urban context associated with seasonal variability of climate and air pollution drivers, based on descriptive statistics and regression methods of in-situ and geospatial daily time series data.
References
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Book

Negative Binomial Regression

TL;DR: In this article, the authors introduce the concept of risk in count response models and assess the performance of count models, including Poisson regression, negative binomial regression, and truncated count models.
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Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures.

TL;DR: The latest literatures on genetic, epidemiological, and clinical features of COVID‐19 in comparison to SARS and MERS are summarized and special measures on diagnosis and potential interventions are emphasized to improve understanding of the unique features ofCOVID‐ 19 and enhance control measures in the future.
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Association between short-term exposure to air pollution and COVID-19 infection: Evidence from China.

TL;DR: There is a significant relationship between air pollution and COVID-19 infection, which could partially explain the effect of national lockdown and provide implications for the control and prevention of this novel disease.
Posted ContentDOI

Exposure to air pollution and COVID-19 mortality in the United States: A nationwide cross-sectional study

TL;DR: A small increase in long-term exposure to PM2.5 leads to a large increase in the COVID-19 death rate, and the results underscore the importance of continuing to enforce existing air pollution regulations to protect human health both during and after the CO VID-19 crisis.
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