scholarly journals The Influence of Potential Infection on the Relationship between Temperature and Confirmed Cases of COVID-19 in China

2021 ◽  
Vol 13 (15) ◽  
pp. 8504
Author(s):  
Weiran Lin ◽  
Qiuqin He
Keyword(s):  
Prevention And Control ◽  
Parametric Method ◽  
Floating Population ◽  
Gauss Kernel ◽  
Gamma Kernel ◽  
And Control ◽  
The Impact ◽  
The Relationship ◽  
Coronavirus Infections ◽  
Non Parametric

Considering the impact of the number of potential new coronavirus infections in each city, this paper explores the relationship between temperature and cumulative confirmed cases of COVID-19 in mainland China through the non-parametric method. In this paper, the floating population of each city in Wuhan is taken as a proxy variable for the number of potential new coronavirus infections. Firstly, to use the non-parametric method correctly, the symmetric Gauss kernel and asymmetric Gamma kernel are applied to estimate the density of cumulative confirmed cases of COVID-19 in China. The result confirms that the Gamma kernel provides a more reasonable density estimation of bounded data than the Gauss kernel. Then, through the non-parametric method based on the Gamma kernel estimation, this paper finds a positive relationship between Wuhan’s mobile population and cumulative confirmed cases, while the relationship between temperature and cumulative confirmed cases is inconclusive in China when the impact of the number of potential new coronavirus infections in each city is considered. Compared with the weather, the potentially infected population plays a more critical role in spreading the virus. Therefore, the role of prevention and control measures is more important than weather factors. Even in summer, we should also pay attention to the prevention and control of the epidemic.

The relationship between the withdrawal of the digital economy's innovators, government interventions, the marketization level and market size based on big data

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yang Zhao ◽  
Xiaohui Chen
Keyword(s):  
Prevention And Control ◽  
Market Size ◽  
Nonlinear Relationship ◽  
Content Type ◽  
Government Interventions ◽  
The Government ◽  
And Control ◽  
The Impact ◽  
The Relationship

PurposeDigital economic innovation is associated with risks. The lack of a platform's profitability weakens the operation's ability to sustain innovators and increases the possibility of the business' termination. Relevant data demonstrate a significant upward trend in the exit of Chinese innovators of the digital economy. The study aims to clarify the role of an effective government and effective market in the prevention and control of the withdrawal of innovators.Design/methodology/approachBased on balanced panel data of 31 provinces and cities from 2010 to 2018, this study uses the individual fixed effect model to study the impact of the marketization level, the market's scale and government interventions on the withdrawal of innovators. Simultaneously, based on the spatial econometric model, this study examines the spatial spillover effect of the withdrawal of innovators.FindingsResults indicate that government interventions have an inhibiting effect on the withdrawal of innovators. Moreover, there was a positive “U”-shaped nonlinear relationship between the marketization level and the withdrawal of innovators, and an inverse “U”-shaped nonlinear relationship between the market size and the withdrawal of innovators.Originality/valueThe paper first studies the relationship between the exit of innovators and government intervention, marketization level and field scale; takes the lead in the research on the role of the government and effective market in the prevention and control of the exit of innovators from the perspective of the exit of innovators and puts forward policy suggestions to promote the sustainable and healthy development of fintech innovation in China from the market scale and other aspects.

Hazards for Construction Workers

2017 ◽  
Author(s):  
Gavin H. West ◽  
Laura S. Welch
Keyword(s):  
Heavy Metals ◽  
Prevention And Control ◽  
Respiratory Diseases ◽  
Noise Exposure ◽  
Engineered Nanomaterials ◽  
Construction Workers ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
And Control ◽  
The Impact

This chapter describes the hazards for construction workers, with a particular focus on injuries as well as exposures to hazardous chemicals and dusts. A section describes hazardous exposures to lead and other heavy metals. Another section describes noise exposure. The impact of musculoskeletal disorders among construction workers is then discussed. A section on respiratory diseases focuses on asbestosis, silicosis, chronic obstructive pulmonary disease, and asthma. Exposures known to cause dermatitis and cancer are reviewed. There is a discussion of engineered nanomaterials as a potential emerging hazard. Various approaches to prevention and control, including regulations and health services, are described.

scholarly journals COVID-19 Risk Assessment: Contributing to Maintaining Urban Public Health Security and Achieving Sustainable Urban Development

2021 ◽  
Vol 13 (8) ◽  
pp. 4208
Author(s):  
Jun Zhang ◽  
Xiaodie Yuan
Keyword(s):  
Public Health ◽  
Population Density ◽  
Prevention And Control ◽  
Floating Population ◽  
Sustainable Urban Development ◽  
Risk Level ◽  
Health Security ◽  
Main Factors ◽  
And Control ◽  
Epidemic Risk

As the most infectious disease in 2020, COVID-19 is an enormous shock to urban public health security and to urban sustainable development. Although the epidemic in China has been brought into control at present, the prevention and control of it is still the top priority of maintaining public health security. Therefore, the accurate assessment of epidemic risk is of great importance to the prevention and control even to overcoming of COVID-19. Using the fused data obtained from fusing multi-source big data such as POI (Point of Interest) data and Tencent-Yichuxing data, this study assesses and analyzes the epidemic risk and main factors that affect the distribution of COVID-19 on the basis of combining with logistic regression model and geodetector model. What’s more, the following main conclusions are obtained: the high-risk areas of the epidemic are mainly concentrated in the areas with relatively dense permanent population and floating population, which means that the permanent population and floating population are the main factors affecting the risk level of the epidemic. In other words, the reasonable control of population density is greatly conducive to reducing the risk level of the epidemic. Therefore, the control of regional population density remains the key to epidemic prevention and control, and home isolation is also the best means of prevention and control. The precise assessment and analysis of the epidemic conducts by this study is of great significance to maintain urban public health security and achieve the sustainable urban development.

scholarly journals The Impact of COVID-19 on Pedestrian Flow Patterns in Urban POIs—An Example from Beijing

2021 ◽  
Vol 10 (7) ◽  
pp. 479
Author(s):  
Yihang Li ◽  
Liyan Xu
Keyword(s):  
Prevention And Control ◽  
Control Period ◽  
Flow Patterns ◽  
Control Measures ◽  
Pedestrian Flow ◽  
Prevention Measures ◽  
Government Control ◽  
Functional Categories ◽  
And Control ◽  
The Impact

The COVID-19 pandemic is a major challenge for society as a whole, and analyzing the impact of the spread of the epidemic and government control measures on the travel patterns of urban residents can provide powerful help for city managers to designate top-level epidemic prevention policies and specific epidemic prevention measures. This study investigates whether it is more appropriate to use groups of POIs with similar pedestrian flow patterns as the unit of study rather than functional categories of POIs. In this study, we analyzed the hour-by-hour pedestrian flow data of key locations in Beijing before, during, and after the strict epidemic prevention and control period, and we found that the pedestrian flow patterns differed greatly in different periods by using a composite clustering index; we interpreted the clustering results from two perspectives: groups of pedestrian flow patterns and functional categories. The results show that depending on the specific stage of epidemic prevention and control, the number of unique pedestrian flow patterns decreased from four before the epidemic to two during the strict control stage and then increased to six during the initial resumption of work. The restrictions on movement are correlated with most of the visitations, and the release of restrictions led to an increase in the variety of unique pedestrian flow patterns compared to that in the pre-restriction period, even though the overall number of visitations decreased, indicating that social restrictions led to differences in the flow patterns of POIs and increased social distance.

scholarly journals The Impact of the Direct Participation of Workers on the Rates of Absenteeism in the Spanish Labor Environment

2020 ◽  
Vol 17 (7) ◽  
pp. 2477 ◽  
Author(s):  
Raúl Payá Castiblanque
Keyword(s):  
Multinomial Logistic Regression ◽  
Management Plan ◽  
Risk Prevention ◽  
Prevention Measures ◽  
Direct Participation ◽  
High Level ◽  
And Control ◽  
The Impact ◽  
The Relationship ◽  
Transversal Study

The aim of this research was to study the relationship between the different levels of direct participation of workers (passive, consultative or active-delegated) in risk prevention management with the levels of absenteeism in Spain. To this end, a transversal study was carried out using microdata from the Second European Survey of Companies on New and Emerging Risks (ESENER-2-Spain, 2014) with a master population of 3162 work centres. A multinomial logistic regression model was carried out, with the dependent variable being the levels of absenteeism and the independent variables, the participation indicators and preventive management, calculating the adjusted odds ratio (aOR) between all the independent and control variables, with their corresponding 95% confidence intervals (95% IC). The results obtained showed how the active-delegative participation of workers in the design and adoption of psychosocial risk prevention measures reported 2.33 less probabilities of having a very high or fairly high level of absenteeism (aOR = 0.43; 95%IC:0.27–0.69). However, having documented aspects of preventive management (plan, risk assessment, planning measures) did not have any impact on absenteeism levels, which shows that we can fall into an unrealistic institutional mirage of security with active policies of co-education or co-management being necessary to reduce absenteeism.

scholarly journals The Impacts of Regional Regulatory Policies on the Prevention and Control of Chronic Diseases in China: A Mediation Analysis

Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1058
Author(s):  
Huihui Huangfu ◽  
Qinwen Yu ◽  
Peiwu Shi ◽  
Qunhong Shen ◽  
Zhaoyang Zhang ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Community Service ◽  
Mediation Analysis ◽  
Prevention And Control ◽  
Negative Binomial ◽  
Mediating Effect ◽  
Negative Binomial Regression Model ◽  
Regulatory Policies ◽  
And Control ◽  
The Relationship

Regional regulatory policies (RPs) are a major factor in the prevention and control of chronic diseases (PCCDs) through the implementation of various measures. This study aimed to explore the impacts of RPs on PCCDs, with a focus on the mediating roles of community service. The soundness of the regulatory mechanism (SORM) was used to measure the soundness of RPs based on 1095 policy documents (updated as of 2015). Coverage provided by community service institutions (CSIs) and community health centres (CHCs) was used to represent community service coverage derived from the China Statistical Yearbook (2015), while the number of chronic diseases (NCDs) was used to measure the effects of PCCDs based on data taken from the 2015 China Health and Retirement Longitudinal Study survey. To assess the relationship between SORM, NCDs and community service, a negative binomial regression model and mediation analysis with bootstrapping were conducted. Results revealed that there was a negative correlation between SORM and NCDs. CSIs had a major effect on the relationship between RPs and PCCDs, while CHCs had a partial mediating effect. RPs can effectively prevent and control chronic diseases. Increased effort should also be aimed at strengthening the roles of CSIs and CHCs.

scholarly journals The impact of air quality on its Baidu index: grey model analysis

2021 ◽  
Author(s):  
Leping Tu ◽  
Yan Chen
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Index ◽  
Air Quality Index ◽  
Grey Correlation ◽  
Convolution Model ◽  
Grey Correlation Analysis ◽  
And Control ◽  
The Impact ◽  
The Relationship

Abstract To investigate the relationship between air quality and its Baidu index, we collect the annual Baidu index of air pollution hazards, causes and responses. Grey correlation analysis, particle swarm optimization and grey multivariate convolution model are used to simulate and forecast the comprehensive air quality index. The result shows that the excessive growth of the comprehensive air quality index will lead to an increase in the corresponding Baidu index. The number of search for the causes of air quality has the closest link with the comprehensive air quality index. Strengthening the awareness of public about air pollution is conducive to the improvement of air quality. The result provides a reference for relevant departments to prevent and control air pollution.

scholarly journals The experience of European hospital-based health care workers on following infection prevention and control procedures for COVID-19

2020 ◽  
Author(s):  
Denise van Hout ◽  
Paul Hutchinson ◽  
Marta Wanat ◽  
Caitlin Pilbeam ◽  
Herman Goossens ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Infection Risk ◽  
Infection Prevention And Control ◽  
Emotional Wellbeing ◽  
Care Workers ◽  
And Control ◽  
The Impact

ABSTRACTBackgroundWorking under pandemic conditions exposes health care workers (HCWs) to infection risk and psychological strain. Protecting the physical and psychological health of HCWs is a key priority. This study assessed the perceptions of European hospital HCWs of local infection prevention and control (IPC) procedures during the COVID-19 pandemic and the impact on their emotional wellbeing.MethodsWe performed two rounds of an international cross-sectional survey, between 31 March and 17 April 2020 via existing research networks (round 1), and between 14 May and 31 August 2020 via online convenience sampling (round 2). Main outcome measures were (1) behavioural determinants of HCW adherence with IPC procedures, (2) WHO-5 Well-Being Index, a validated scale of 0-100 reflecting emotional wellbeing. The WHO-5 was interpreted as a score below or above 50 points, a cut-off score used in previous literature to screen for depression.Results2,289 HCWs (round 1: n=190, round 2: n=2,099) from 40 countries in Europe participated. Mean age of respondents was 42 (±11) years, 66% were female, 47% and 39% were medical doctors and nurses, respectively. 74% (n=1699) of HCWs were directly treating patients with COVID-19, of which 32% (n=527) reported they were fearful of caring for these patients. HCWs reported high levels of concern about COVID-19 infection risk to themselves (71%) and their family (82%) as a result of their job. 40% of HCWs considered that getting infected with COVID-19 was not within their control. This was more common among junior than senior HCWs (46% versus 38%, P value <.01). Sufficient COVID-19-specific IPC training, confidence in PPE use and institutional trust were positively associated with the feeling that becoming infected with COVID-19 was within their control. Female HCWs were more likely than males to report a WHO-5 score below 50 points (aOR 1.5 (95% confidence interval (CI) 1.2-1.8).ConclusionsIn Europe, the COVID-19 pandemic has had a differential impact on those providing direct COVID-19 patient care, junior staff and women. Health facilities must be aware of these differential impacts, build trust and provide tailored support for this vital workforce during the current COVID-19 pandemic.

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