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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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Impact of Covid-19 on economic recovery: empirical analysis from China and global economies

TL;DR: In this paper , the authors assess the influence of the economic recovery of China following the COVID-19 outbreak on global economies and find that China's economic growth has the biggest long-term influence on middle-income nations (0.17%), followed by low- and middle income economies (0.,16%), and high-income economies ( 0.11-0.45%).
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Assessing the nexus between financial development and energy finance through demand- and supply-oriented physical disruption in crude oil

TL;DR: In this article, the accumulation and drawdown of important national crude oil strategic petroleum reserves where the state wants to optimize individual social welfare while individuals hold over stock optimize their earnings levels have been measured.
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Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective

TL;DR: In this article , the authors examined the rationale for building a cohort result of green management in China in the new phase of the country's development and quantified the long-term correlation between variables using the dynamic common correlated effect (D-CCE) and interactive fixed effect.
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Cumulative effects of air pollution and climate drivers on COVID-19 multiwaves in Bucharest, Romania

TL;DR: In this paper , the authors investigated the potential impact of environmental drivers on COVID-19 transmission in Bucharest, capital of Romania during the analyzed epidemic period, through descriptive statistics and cross-correlation tests applied to time series of daily observational and geospatial data of major outdoor inhalable particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5), PM10, NO2, SO2, CO and 222Rn.
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Determining the COVID-19 effects on spillover between oil market and stock exchange: a global perspective analysis

TL;DR: In this article , the authors investigated volatility spillovers between the global crude oil market and the stock markets of the global oil stock markets (Russian, Canada, China, Kuwait, and USA) pre and after the COVID-19 pandemic.
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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