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In order to analyze the impact of COVID-19 prevention and control measures on the hotspots of residential burglary, the data of crimes that occurred during the First Level Response period of Major Public Health Emergencies in Beijing in 2020 and the same period in 2019 were collected, and the changes of hotspots during the two periods were compared by using kernel density estimation and predictive accuracy index. Consequently, the environmental features such as street network, point of interest (POI) diversity, crime locations, and repeat victimization in significantly varied hotspot areas were investigated. The results show that: 1) After the outbreak of the pandemic, the occurrence of residential burglary in the core urban areas of Beijing dropped significantly, and daily occurrence of crimes during the First Level Response period in 2020 decreased by 66.8% compared with the same days in 2019. 2) The eight major hotspots that existed in 2019 apparently declined during the corresponding days in 2020, five of them basically disappeared, and three hotspots weakened. 3) The declined hotspots were generally clustered around traffic hubs, areas with high diversity of POIs, clustered crimes, and repeat victimizations. 4) Home isolation and social restriction strategies implemented during the First Level Response period reduced the opportunities of offenders, and the real-name inspection adopted in public places increased the exposure risk of offenders, which are the main reasons for the hotspots decline during the pandemic. This work has some implications for crime prevention and police resources optimization during the pandemic. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.
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Owing to the continuous variant of the COVID-19 virus, the present epidemic may persist for a long time, and each breakout displays strongly region/time-dependent characteristics. Predicting each specific burst is the basic task for the corresponding strategies. However, the refinement of prevention and control measures usually means the limitation of the existing records of the evolution of the spread, which leads to a special difficulty in making predictions. Taking into account the interdependence of people' s travel behaviors and the epidemic spreading, we propose a modified logistic model to mimic the COVID-19 epidemic spreading, in order to predict the evolutionary behaviors for a specific bursting in a megacity with limited epidemic related records. It continuously reproduced the COVID-19 infected records in Shanghai, China in the period from March 1 to June 28, 2022. From December 7, 2022 when Mainland China adopted new detailed prevention and control measures, the COVID-19 epidemic broke out nationwide, and the infected people themselves took "ibuprofen” widely to relieve the symptoms of fever. A reasonable assumption is that the total number of searches for the word "ibuprofen” is a good representation of the number of infected people. By using the number of searching for the word "ibuprofen” provided on Baidu, a famous searching platform in Mainland China, we estimate the parameters in the modified logistic model and predict subsequently the epidemic spreading behavior in Shanghai, China starting from December 1, 2022. This situation lasted for 72 days. The number of the infected people increased exponentially in the period from the beginning to the 24th day, reached a summit on the 31st day, and decreased exponentially in the period from the 38th day to the end. Within the two weeks centered at the summit, the increasing and decreasing speeds are both significantly small, but the increased number of infected people each day was significantly large. The characteristic for this prediction matches very well with that for the number of metro passengers in Shanghai. It is suggested that the relevant departments should establish a monitoring system composed of some communities, hospitals, etc. according to the sampling principle in statistics to provide reliable prediction records for researchers. © 2023 Chinese Physical Society.
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Non-Drug Intervention (NDI) is one of the important means to prevent and control the outbreak of coronavirus disease 2019 (COVID-19), and the implementation of this series of measures plays a key role in the development of the epidemic. The purpose of this paper is to study the impact of different mitigation measures on the situation of the COVID 19, and effectively respond to the prevention and control situation in the "post-epidemic era". The present work is based on the Susceptible-Exposed-Infectious-Remove-Susceptible (SEIRS) Model, and adapted the agent-based model (ABM) to construct the epidemic prevention and control model framework to simulate the COVID-19 epidemic from three aspects: social distance, personal protection, and bed resources. The experiment results show that the above NDI are effective mitigation measures for epidemic prevention and control, and can play a positive role in the recurrence of COVID-19, but a single measure cannot prevent the recurrence of infection peaks and curb the spread of the epidemic;When social distance and personal protection rules are out of control, bed resources will become an important guarantee for epidemic prevention and control. Although the spread of the epidemic cannot be curbed, it can slow down the recurrence of the peak of the epidemic;When people abide by social distance and personal protection rules, the pressure on bed resources will be eased. At the same time, under the interaction of the three measures, not only the death toll can be reduced, but the spread of the epidemic can also be effectively curbed. © 2022 ACM.
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The ongoing COVID-19 epidemic has had a great impact on social activities and the economy. The usage technical analysis tools to provide a more accurate and efficient reference for epidemic control measures is of great significance. This paper analyzes the characteristics and deficiencies of the existing technical methods, such as regression model, simulation calculation, differential equation and so on. By analyzing past outbreak cases and comparing the epidemic prevention measures of different cities, we discuss the importance of early and timely prevention in controlling the epidemic, and the importance of analyzing and formulating plans in advance. We then make the key observation that the spread of the virus is related to the topology of the urban network. This paper further proposes an epidemic analysis model of the optimized PageRank model, and gives a ranking algorithm for virus transmission risk levels based on road nodes, forming a visual risk warning level map, and applies the algorithm to the epidemic analysis of Yuegezhuang area in Beijing. Finally, more in-depth research directions and suggestions for prevention and control measures are put forward. © 2023 SPIE.
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This paper presents a control system for indoor safety measures using a Faster R-CNN (Region-based Convolutional Neural Network) architecture. The proposed system aims to ensure the safety of occupants in indoor environments by detecting and recognizing potential safety hazards in real time, such as capacity control, social distancing, or mask use. Using deep learning techniques, the system detects these situations to be controlled, notifying the person in charge of the company if any of these are violated. The proposed system was tested in a real teaching environment at Rey Juan Carlos University, using Raspberry Pi 4 as a hardware platform together with an Intel Neural Stick board and a pair of PiCamera RGB (Red Green Blue) cameras to capture images of the environment and a Faster R-CNN architecture to detect and classify objects within the images. To evaluate the performance of the system, a dataset of indoor images was collected and annotated for object detection and classification. The system was trained using this dataset, and its performance was evaluated based on precision, recall, and F1 score. The results show that the proposed system achieved a high level of accuracy in detecting and classifying potential safety hazards in indoor environments. The proposed system includes an efficiently implemented software infrastructure to be launched on a low-cost hardware platform, which is affordable for any company, regardless of size or revenue, and it has the potential to be integrated into existing safety systems in indoor environments such as hospitals, warehouses, and factories, to provide real-time monitoring and alerts for safety hazards. Future work will focus on enhancing the system's robustness and scalability to larger indoor environments with more complex safety hazards.
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The economic downturn due to lockdown measures at the beginning of the COVID-19 crisis raised the question whether any adaptations to the short-term statistics (STS) were needed to ensure accurate and relevant output. We limit ourselves to STS on turnover and related variables like volume of production. We looked into the different stages of the production process - from data collection to output - and anticipated a number of potential lockdown effects. With respect to output relevance, there was an increased interest in faster and specific output. With respect to the output accuracy, we took measures to check whether the anticipated effects really occurred and measures to mitigate the consequences. Examples of such measures are the calculation of an additional editing score function, alternative imputations and extensions of the regular analysis step. In this paper we give an overview of the anticipated effects, the subsequent measures that we took, we evaluate to what extent the anticipated effects occurred in practice and we mention some unforeseen effects. We end this paper by discussing to what extent the developed measures are also useful to keep after the economy has recovered. © 2023 - IOS Press. All rights reserved.
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Academics have long regarded air travel as vital to pursuing a successful career. Meanwhile, many academics are at the frontline of climate change science and advocate the urgency to reduce greenhouse gas emissions. The conflict between combating global warming and high aeromobility practices traps academics in a loop of hypocrisy. However, COVID-19 presents an opportunity for academics to advance their research and careers with reduced aeromobility. This research investigates how academics have adapted to virtual working experiences during COVID-19 and the implications for establishing changes in aeromobility practices. Informed by the theory of practice change, this paper reports the findings of a comprehensive survey and interview programme in New Zealand. It provides insights into the prospects for reduced aeromobility and the institutional policy frameworks required to embed a new normal, considering the unique circumstances faced by academics working at geographically remote institutions. The findings reveal that instead of being trapped in a loop of hypocrisy, New Zealand academics face a moral quandary in being concerned about climate change and wishing to reduce aeromobility practices, while wanting to avoid compromising career success. Recommendations for academics to face this moral quandary and their institutions to support practice change are proposed. [ FROM AUTHOR] Copyright of Mobilities is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Several procedures to forecast daily risk measures in cryptocurrency markets have been recently implemented in the literature. Among them, long‐memory processes, procedures taking into account the presence of extreme observations, procedures that include more than a single regime, and quantile regression‐based models have performed substantially better than standard methods in terms of forecasting risk measures. Those procedures are revisited in this paper, and their value at risk and expected shortfall forecasting performance are evaluated using recent Bitcoin and Ethereum data that include periods of turbulence due to the COVID‐19 pandemic, the third halving of Bitcoin, and the Lexia class action. Additionally, in order to mitigate the influence of model misspecification and enhance the forecasting performance obtained by individual models, we evaluate the use of several forecast combining strategies. Our results, based on a comprehensive backtesting exercise, reveal that, for Bitcoin, there is no single procedure outperforming all other models, but for Ethereum, there is evidence showing that the GAS model is a suitable alternative for forecasting both risk measures. We found that the combining methods were not able to outperform the better of the individual models.
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In order to slow the COVID-19 pandemic's rapid spread and put an end to it, the world needs to take extraordinary action. The knowledge, attitude, and practises (KAP) of outpatients concerning COVID-19 have an impact on the adherence to control measures. As a result, this research serves as a baseline analysis to assess Knowledge, Attitude, and Practice and serve as the foundation for our mitigation efforts. The outpatients were given this self-administrated survey. The ten-item survey was created in a way that allowed for an accurate evaluation of the knowledge, attitude, and practise components. Using SPSS software, the statistical analysis was conducted. The replies from the Google sheet were loaded into SPSS after being exported to Excel. Data were described using frequency and percentages, and chi square analysis was conducted to see whether there was any correlation between the variables. 85 outpatients in total took part in the survey. While 80% of the participants were aware of the life trajectory of Covid-infected individuals and 77.6% of them paid close attention to government directives, the overall level of awareness about COVID-19 and its prevention was rather high. 54.12% of the participants used hand sanitizer and wore masks constantly. The outcomes indicated that the participants had sound knowledge and a positive outlook. To combat this epidemic, media propaganda and instructional video production must continue to be produced and distributed. © 2023 IEEE.
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This essay offers a few remarks on arbitration in Italy where arbitration is still a niche alternative to traditional litigation before the courts. The initiatives taken by arbitral institutions in the face of the challenges to the proper functioning of the courts brought about by the Covid-19 pandemic have kindled new interest in arbitration, and further reforms of the Code of Civil Procedure (expected by the end of 2022) could increase the appeal of arbitration in Italy. The research methodology applied to this essay is the traditional doctrinal methodology aimed at identifying the relevant legal rules, discussing their meanings and the principles supporting them, without overlooking their ambiguities and flaws. Special attention is paid to a few new trends emerged during the Covid-19 pandemic, as well as to a set of forthcoming reforms that should improve the quality of Italian civil justice.In conclusion, some proposals are presented to make arbitration more attractive in Italy. Firstly, the time has come to get rid of the distinction that is only known in Italy and that causes a lot of confusion, between true arbitration (arbitrato rituale), governed by the Code of Civil Procedure, and so-called "free arbitration" (arbitrato irrituale). Then, it is suggested the adoption of a fast-track arbitration, especially for the resolution of disputes in which the value at stake is modest and the legal issues in dispute are not highly complex. © 2022, Universidade do Estado do Rio de Janeiro. All rights reserved.
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The emergence, spread, and development of COVID-19 has become a serious challenge and a test of the professional, organizational, and technological capabilities of the global medical community. The specific nature of the profession puts health workers at the forefront of responding to a COVID-19 outbreak and exposes them to a particularly high risk of infection. Hazards include contact with the pathogen, long work hours, psychological distress, fatigue, occupational burnout, and several others. Simultaneously, as members of society, health workers are also exposed to the general risks and influences of a difficult epidemiological situation (e.g., anxiety from uncertainty, lack of information, and general social and economic problems and constraints). As professionals, health workers must demonstrate the unity of opinion, attitude, and action and act as experts for patients on various issues, implementing the state's health care policy. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.
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We present a data set containing data of five cross-cultural framing studies conducted during the COVID-19 pandemic (Austria, Germany, U.K. and U.S.). The dataset covers data on participants' conspiracy mentality, distrust in science, risk aversion, individualism-collectivism and the endorsement of preventive behaviors such as vaccination willingness. In addition, across all studies, we collected data of a newly developed scale measuring paradoxical, anti-prevention attitudes during the COVID-19 pandemic (2020-2021). We think that authors interested in the interplay of different traits and COVID-19 attitudes could be interested in the secondary use of the data set, and especially in the newly developed Paradox of Prevention Scale. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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An outbreak of a respiratory sickness started in Wuhan, China in December 2019 and the causative agent was found be a novel betacoronovirus of the same subgenus as SARSCoV and named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus disease 2019 (COVID-19) quickly spread around the world, with clinical signs ranging from mild respiratory symptoms to severe pneumonia and a fatality rate estimated around 2%. Lower respiratory tract infections can occur in immunocompromised subjects and the elderly persons. Respiratory droplets are the causative agent for the person-to-person spread of the disease resembling the spread of influenza. Individual to individual spread turned into the primary mode of transmission. The transmission of the disease might be more likely in the earlier stage of infection as the viral RNA levels appear to be higher. Accurate diagnosis in the early stages of the epidemic helps control the spread of the disease. [ FROM AUTHOR] Copyright of Indian Drugs is the property of Indian Drug Manufacturers' Association (IDMA) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
This chapter uses discourse analysis to study the statements made by two main players of the Mexican government: President Andrés Manuel López Obrador and Hugo López-Gatell, the Undersecretary for Health Prevention and Promotion. This analysis also discusses the ¡Quédate en casa! audiovisual advertisement campaign and its main character: the heroine SuSana Distancia. It suggests that the government's advertisement campaigns failed to promote the importance of health care and joint responsibility among the community;this is reflected in the number of people infected and deaths in Mexico. This study is made up of six parts: the first introduces the importance of a strategic communication plan;the second discusses the frame of reference;the third describes the analysis method and the corpus study configuration;the fourth includes the results;the fifth ponders the analysis;and the sixth includes the conclusions. The main findings are that the Mexican government never had the intention of promoting the use of masks as an essential measure. Two spots taught the population how to wear a mask;however, the discourse of both the Undersecretary and the President was that wearing a mask was not an essential measure to control infections. © Springer Nature Switzerland AG 2023. All rights reserved.
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Background: Patients with obstructive sleep apnea (OSA), related to their disease consequences and treatment modalities, are physically and mentally vulnerable during the outbreak. Objectives: To investigate the association between pandemic-related changes and positive airway pressure (PAP) adherence and sleep quality in OSA patients. Methods: This was a multi-center cross-sectional study, and the necessary data were collected prospectively. A total of 221 patients were included in the study, who were invited from four different centers from June 1 - December 1, 2020. Pittsburgh Sleep Quality Index (PSQI) was administered to evaluate sleep quality. Information on demographics positive airway pressure (PAP) device use, Coronavirus disease (COVID-19) a questionnaire collected related changes. Patients >18 years with a diagnosis of OSA and prescribed PAP treatment before the pandemic period were included in the study. Lack of cooperation with the questionnaires and incompliant with PAP treatment for longer than one year were the exclusion criteria. Results: Of the 221 participants, 79.2% were men. The mean apnea-hypopnea index was obtained at 40.8+or-24.3. A positive COVID-19 test was reported in nine cases, and three patients had hospitalization. During the pandemic, 102 (46.2%) subjects were retired, 26 (11.8%) lost their jobs, and 34 (15.3%) reported home office work or on-call or on leave. Poor sleep quality was found in 54 (24.4%) individuals. It was also reported that poor sleep quality was more common in those who reported mask use difficulty (38.7% vs. 18.9%;P=0.004) and increased or decreased PAP use (increased, decreased, no change in PAP use: 45.5%, 36.0%, 19.4%, respectively;P=0.01). The good sleep quality group had higher PAP use than the poor sleep quality group (6.2+or-1.5 vs. 5.3+or-2.4 night/week;P=0.002;6.2+or-1.5 vs. 5.5+or-2.2 hour/night;P=0.01). Conclusions: Pandemic period had several negative effects on sleep apnea patients regarding sleep quality and social lives which also influenced PAP adherence in OSA patients. Most patients did not change their regular PAP use attitudes during this period. Similar to the pre-COVID-19 disease period, PAP adherence and compliance positively influenced sleep quality;people who were "good sleepers" were the ones who were the "good PAP device users".
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Background: Since the beginning of the SARS-CoV2 pandemic medical practices have implemented diverse protective measures to contain the pandemic, practice organization and structures were adapted. In order to get information about patients' perception of their doctors' visit during the pandemic, we conducted a patient survey in medical practices. Method(s): Cross-sectional study of 58 patients, who were interviewed in four medical practices (family physicians and specialists) in the South West of Munich from 02.04.-17.04.2020 on the following topics: "personal risk assessment", "sense of security and perception of protection measures in the practice setting", "importance of the doctor's visit" and "change of medication, nicotine consumption". By means of a questionnaire with 24 items, data were collected anonymously. Results are presented descriptively and via ANOVA as well as via linear regression. Result(s): The personal risk assessments for COVID-19-disease and for a severe course of COVID-19 were rated low moderate, independent of sex or age. Around 8% of the surveyed patients discussed their personal risk with their doctors. The sense of security in the practice setting was rated high. The rating of the protection equipment was good as well, and closely met expectations. The personal importance of the visit varied. Only 6% had considered cancelling their visit beforehand. A change of medication due to SARS-CoV-2 pandemic was not observed. Conclusion(s): The patient survey provides a snapshot of the outpatient setting from the patient's perspective in a hyperdynamic pandemic situation. Yet, due to the small study population, the results have to be interpreted with caution.Copyright © 2021, Deutscher Arzteverlag.
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This study analysed the spatial and temporal trends and dynamics of COVID-19 to understand their implications on Sustainable Development Goals (SDGs) in Zimbabwe. Data on daily cases and mortality rates of COVID-19 were collected from the Worldometer website, whilst data on lockdown measures and travel restrictions were collected from Zimbabwe's Ministry of Health and Child Care. Exploratory and confirmatory analyses were employed on statistical data. COVID-19 statistical data were first tested for normality using the Kolmogorov-Smirnov test. Subsequently, the non-parametric Mann-Kendal (M-K) test was performed to determine the monthly average number of new cases and deaths trend from March 2020 to February 2022 using XLSTAT (2020). The study shows a significant increase (p = 0.00, α= 0.05) in COVID-19 cases between March 2020 and February 2022. The trend is characterised by sharp increases associated with wave periods. Although the results show no correlation between stringency index and COVID-19 cases, periods of high stringency are associated with a slightly lower number of cases. The spatial trends show that highly populated areas have high numbers of patient cases. Indeed, the lockdown measures put in place, among other factors, contributed to controlling the spread of the virus. The trends and dynamics of COVID-19 in Zimbabwe have implications for achieving SDG 1, SDG 2, SDG 3 and SDG 6. Thus, there is a need to factor in the temporal and spatial realities of COVID-19 in making a policy framework for effective control of the pandemic and promotion of sustainable development. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
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Aim: To determine the attitude of medical practitioners towards collaborating with dental professionals during a pandemic. Material(s) and Method(s): The present study is a cross sectional survey conducted among the medical practitioners of India. 2100 medical practitioners were randomly selected as study subjects. The data pertaining to their attitude toward collaboration with dental professionals were gathered using a self-administered questionnaire. Data was analyzed using descriptive studies. Result(s): Among the study subjects, 93% of the medical doctors said in the future if the pandemic occurs then they would feel contended if they were to be given the provision to be aided by a well-trained dental support team, 80% of them said they experienced high stress during the pandemic. When asked to specify the reason in case they have not approached the dentist during the pandemic, 89% said they did not ponder over the thought of taking help from the dentist. Conclusion(s): If a pandemic occurs in the future, the contribution of the dentist can be beyond dentistry provided we adopt and execute proper measures and plan them beforehand.Copyright © 2021 Muslim OT et al.
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Background: After the first patient of COVID-19 was announced by the Ministry of Health in Tanzania from Arusha region, the hottest discussion in the community was the fear on how our health facilities were prepared against the spread of coronavirus disease. Objective and significance: This study aims at assessing healthcare facilities level of preparedness response on preventive measures against COVID-19 in selected regions of Tanzania through the contributions of healthcare workers. This study will add value in building capacity to fight COVID-19 pandemic and possibly any other pandemic of similar significance in the future. Methods: Analytical cross-sectional study design which applied quantitative research strategy was conducted from August to October 2022. A total of 596 healthcare workers were involved in the study from 40 healthcare facilities in Dar es Salaam, Mwanza, Arusha, and Dodoma regions of Tanzania. Descriptive statistics were analyzed by a statistical package SPSS version 26 (IBM Corp., Armonk, NY) giving frequencies, percentages, and significant association between variables. Results: Overall level of preparedness was poor at 52%, only 25% of preventive measures were good prepared and 23% moderately prepared. Availability of hand washing station with soap and water to ensure hand hygiene for healthcare workers was most prepared by 87.1% while designated ambulance facility for transporting patients from isolation area to other COVID-19 referral facilities was less prepared by 30.4% in this study. Conclusion: The preparedness responses was poor in selected regions of Tanzania which cause less capacity to fight against COVID-19 whenever it emerges. © 2020 The author (s).