scholarly journals Application of Pandemic Intelligence in Dynamic Data in Taiwan

2021 ◽  
Vol 18 (18) ◽  
pp. 9925
Author(s):  
Tzu-Yin Chang ◽  
Wen-Ray Su ◽  
Hongey Chen ◽  
Ming-Wey Huang ◽  
Lu-Yen A. Chen
Keyword(s):  
Relevant Information ◽  
Control Measures ◽  
City Governments ◽  
Dynamic Data ◽  
Intelligence System ◽  
Tourist Destinations ◽  
Real Time Analysis ◽  
Comprehensive Information ◽  
Clear Insight ◽  
Novel Coronavirus

Taiwan was successful in containing the spread of the novel coronavirus (COVID-19) in 2020. One major factor in this success was the compilation and provision of comprehensive information about the pandemic. The present study proposes a pandemic intelligence system that provides data on the number of epidemic prevention professionals in each county and city, as well as daily confirmed cases, the demographics of the confirmed cases, and available resources (negative-pressure room beds and artificial ventilation apparatuses) in hospitals. Furthermore, the system provides the location of pharmacies selling masks and their current inventories, as well as the distribution of crowds at popular tourist destinations and social-distance monitoring. The most frequently used map layer in the thematic map of the pandemic is that of crowd distribution during the study period from March 2020 until the end of the same year. The case study used in this investigation for applying the system is represented by the 4-day weekend for Tomb-Sweeping Day of 2020. Through the real-time analysis of dynamic data and the integration of intelligence, the system offers a clear insight into changes in relevant information and, thus, enables the preemptive deployment of control measures by the county/city governments regarding pandemic management.

Coronavirus: Towards controlling of the pandemic - Indian scenario

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 462-468
Author(s):  
Latika kothari ◽  
Sanskruti Wadatkar ◽  
Roshni Taori ◽  
Pavan Bajaj ◽  
Diksha Agrawal
Keyword(s):  
Control Measures ◽  
The Novel ◽  
Medical Treatments ◽  
Health Crisis ◽  
The Public ◽  
Infection Control Measures ◽  
The Social ◽  
Asking Questions ◽  
The Government ◽  
Novel Coronavirus

Coronavirus disease 2019 (COVID-19) is a communicable infection caused by the novel coronavirus resulting in severe acute respiratory syndrome coronavirus 2 (SARS-CoV). It was recognized to be a health crisis for the general population of international concern on 30th January 2020 and conceded as a pandemic on 11th March 2020. India is taking various measures to fight this invisible enemy by adopting different strategies and policies. To stop the COVID-19 from spreading, the Home Affairs Ministry and the health ministry, of India, has issued the nCoV 19 guidelines on travel. Screening for COVID-19 by asking questions about any symptoms, recent travel history, and exposure. India has been trying to get testing kits available. The government of India has enforced various laws like the social distancing, Janata curfew, strict lockdowns, screening door to door to control the spread of novel coronavirus. In this pandemic, innovative medical treatments are being explored, and a proper vaccine is being hunted to deal with the situation. Infection control measures are necessary to prevent the virus from further spreading and to help control the current situation. Thus, this review illustrates and explains the criteria provided by the government of India to the awareness of the public to prevent the spread of COVID-19.

scholarly journals Tourism Impacts, Tourism-Phobia and Gentrification in Historic Centers: The Cases of Málaga (Spain) and Gdansk (Poland)

2021 ◽  
Vol 13 (1) ◽  
pp. 408
Author(s):  
Fernando Almeida-García ◽  
Rafael Cortés-Macías ◽  
Krzysztof Parzych
Keyword(s):  
Comparative Research ◽  
Control Measures ◽  
Tourism Impacts ◽  
Tourist Destinations ◽  
Tourist Flows ◽  
Tourist Accommodation ◽  
And Control ◽  
The Impact ◽  
Urban Characteristics

This study analyzes the role of residents in urban tourist destinations affected by the increase in tourist flows, which have generated various problems such as tourism, gentrification and the emergence of tourism as a threat to residents. The role of residents in tourist destinations has not been analyzed regularly during the development process of destinations. We study two cases of historic centers in European cities, with the aim of comparing tourism problems, which are common to most European urban destinations. This study was conducted by administering surveys amongst residents of these historic centers (378 in Málaga, Spain, and 380 in Gdansk, Poland). These cities show a similar demographic size and urban characteristics. This is the first comparative research on tourism-phobia and gentrification in destinations, a field of analysis that is still not studied much. We develop specific scales to measure gentrification and tourism-phobia; moreover, we study the impact of some tourist problems that affect residents (noise, dirt, occupation of public spaces, etc.), and we show the spatial distribution of tourism-phobia. The same analysis instruments are used for both cities. The results of this study show that the tourism-phobia situation is different in the analyzed destinations. It is more intense in the case of Málaga than in Gdansk. The two historic centers are especially affected by the processes of increased tourist flows and the growth of new forms of tourist accommodation. The research results show that the residents’ annoyance caused by tourism gentrification is more intense than tourism-phobia. Both case studies highlight the residents’ complaints regarding the inadequate management of problems by public stakeholders and control measures.

scholarly journals Analyzing Predictors of Control Measures and Psychosocial Problems Associated with COVID-19 Pandemic: Evidence from Eight Countries

2021 ◽  
Vol 11 (8) ◽  
pp. 106
Author(s):  
Sheikh Saifur Rahman Jony ◽  
Ubydul Haque ◽  
Nathaniel J. Webb ◽  
Emily Spence ◽  
Md. Siddikur Rahman ◽  
...  
Keyword(s):  
Psychological Health ◽  
Age Groups ◽  
Psychosocial Problems ◽  
Relevant Information ◽  
The United States ◽  
Control Measures ◽  
Cross Sectional Survey ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Primary Determinant

COVID-19 has harshly impacted communities globally. This study provides relevant information for creating equitable policy interventions to combat the spread of COVID-19. This study aims to predict the knowledge, attitude, and practice (KAP) of the COVID-19 pandemic at a global level to determine control measures and psychosocial problems. A cross-sectional survey was conducted from July to October 2020 using an online questionnaire. Questionnaires were initially distributed to academicians worldwide. These participants distributed the survey among their social, professional, and personal groups. Responses were collected and analyzed from 67 countries, with a sample size of 3031. Finally, based on the number of respondents, eight countries, including Bangladesh, China, Japan, Malaysia, Mexico, Pakistan, the United States, and Zambia were rigorously analyzed. Specifically, questionnaire responses related to COVID-19 accessibility, behavior, knowledge, opinion, psychological health, and susceptibility were collected and analyzed. As per our analysis, age groups were found to be a primary determinant of behavior, knowledge, opinion, psychological health, and susceptibility scores. Gender was the second most influential determinant for all metrics except information about COVID-19 accessibility, for which education was the second most important determinant. Respondent profession was the third most important metric for all scores. Our findings suggest that greater encouragement from government health authorities and the promotion of health education and policies are essential in the dissemination of COVID-19-awareness and increased control of the spread of COVID-19.

scholarly journals Evaluating the effectiveness of measures to control the novel coronavirus disease 2019 in Jilin Province, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qinglong Zhao ◽  
Yao Wang ◽  
Meng Yang ◽  
Meina Li ◽  
Zeyu Zhao ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Good Control ◽  
Asymptomatic Infection ◽  
Jilin Province ◽  
Control Measures ◽  
First Case ◽  
Before And After ◽  
Novel Coronavirus ◽  
Reported Data ◽  
And Control

Abstract Background Based on differences in populations and prevention and control measures, the spread of new coronary pneumonia in different countries and regions also differs. This study aimed to calculate the transmissibility of coronavirus disease 2019 (COVID-19), and to evaluate the effectiveness of measures to control the disease in Jilin Province, China. Methods The data of reported COVID-19 cases were collected, including imported and local cases from Jilin Province as of March 14, 2019. A Susceptible–Exposed–Infectious–Asymptomatic–Recovered/Removed (SEIAR) model was developed to fit the data, and the effective reproduction number (Reff) was calculated at different stages in the province. Finally, the effectiveness of the measures was assessed. Results A total of 97 COVID-19 infections were reported in Jilin Province, among which 45 were imported infections (including one asymptomatic infection) and 52 were local infections (including three asymptomatic infections). The model fit the reported data well (R2 = 0.593, P < 0.001). The Reff of COVID-19 before and after February 1, 2020 was 1.64 and 0.05, respectively. Without the intervention taken on February 1, 2020, the predicted cases would have reached a peak of 177,011 on October 22, 2020 (284 days from the first case). The projected number of cases until the end of the outbreak (on October 9, 2021) would have been 17,129,367, with a total attack rate of 63.66%. Based on the comparison between the predicted incidence of the model and the actual incidence, the comprehensive intervention measures implemented in Jilin Province on February 1 reduced the incidence of cases by 99.99%. Therefore, according to the current measures and implementation efforts, Jilin Province can achieve good control of the virus’s spread. Conclusions COVID-19 has a moderate transmissibility in Jilin Province, China. The interventions implemented in the province had proven effective; increasing social distancing and a rapid response by the prevention and control system will help control the spread of the disease.

scholarly journals Government management capacities and the containment of COVID-19: a repeated cross-sectional study across Chinese cities

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e041516
Author(s):  
Wenchao Li ◽  
Jing Li ◽  
Junjian Yi
Keyword(s):  
Outcome Measures ◽  
Cross Sectional Study ◽  
Control Measures ◽  
Secondary Outcome ◽  
Cross Sectional ◽  
Travel Restrictions ◽  
Government Management ◽  
The Government ◽  
Laws And Policies ◽  
Novel Coronavirus

ObjectivesBetter understanding of the dynamics of the COVID-19 (2019 novel coronavirus disease) pandemic to curb its spread is now a global imperative. While travel restrictions and control measures have been shown to limit the spread of the disease, the effectiveness of the enforcement of those measures should depend on the strength of the government. Whether, and how, the government plays a role in fighting the disease, however, has not been investigated. Here, we show that government management capacities are critical to the containment of the disease.SettingWe conducted a statistical analysis based on cross-city comparisons within China. China has undergone almost the entire cycle of the anticoronavirus campaign, which allows us to trace the full dynamics of the outbreak, with homogeneity in standards for statistics recording.Primary and secondary outcome measuresOutcome measures include city-specific COVID-19 case incidence and recoveries in China.ResultsThe containment of COVID-19 depends on the effectiveness of the enforcement of control measures, which in turn depends on the local government’s management capacities. Specifically, government efficiency, capacity for law enforcement, and the transparency of laws and policies significantly reduce COVID-19 prevalence and increase the likelihood of recoveries. The organisation size of the government, which is not closely related to its capacity for management, has a limited role.

ESTIMATION OF SARS-COV-2 SPECIFIC ANTIBODIES SEROPREVALENCE IN HEALTHCARE WORKERS IN DISTRICT UDAIPUR, INDIA

2021 ◽  
pp. 61-63
Author(s):  
Shelesh Kumar Swami ◽  
Nitesh Kumar Chauhan ◽  
Shuchi Goyal ◽  
A.K. Verma ◽  
Shweta Biyani
Keyword(s):  
Healthcare Workers ◽  
Clinical Symptoms ◽  
Control Measures ◽  
Rt Pcr ◽  
High Seroprevalence ◽  
Know How ◽  
Novel Coronavirus ◽  
And Control ◽  
Infection Eradication ◽  
Cumulative Prevalence

Background:Current pandemic caused by Novel coronavirus (COVID-19) causes clinical symptoms from fever to acute respiratory distress syndrome but may remain mild or asymptomatic. To evaluate the cumulative prevalence of SARSCoV-2 infection in a community and know how immune response develops in the population, reliable assay alongwith RT-PCR for detection of SARS-CoV 2 antibodies is needed. Healthcare workers (HCWs) represent a high-risk populat - ion for infection with SARS-CoV-2. Methods: We evaluated total antibodies recognizing the SARS CoV 2 receptor binding domain (S1-RBD) - - - or the Spike protein over a period of six months in a total of 310 healthcare workers engaged in hospital using SARS-CoV-2 Total antibody assay kit. Findings: The overall seroprevalence found in our analysis was 41.93%. In case of males the percentage positive was found to be signicantly higher at 43.91%, compared to females at 36.25%. Seroprevalence was signicantly higher in 50 years above age group in comparison to 20-50 years old aged healthcare workers. The seroprevalence was higher in doctors, nursing staff and lab technicians than other healthcare professionals as 44.6%. Conclusions: This study showed high seroprevalence of SARS-CoV-2 in healthcare workers which means remaining proportion of the healthcare workers are still susceptible to the infection. Good compliance to infection eradication and control measures, adequate PPEs, and early detection and isolation of healthcare workers infected with SARS-CoV-2 are mandatory to reduce the risk of SARS-CoV-2 infection.

REVIEW ARTICLE ABOUT PERINATALAND NEONATAL MANAGEMENT FOR THE PREVENTION AND CONTROL OF THE 2019 NOVEL CORONAVIRUS INFECTION

2021 ◽  
pp. 54-57
Author(s):  
Isra Khalil Mohammed Ali Saeed ◽  
Maha Hussein Mohammed Hamza ◽  
Hiba Hussein Ibrahim ◽  
Esmehan Elkheir Babeker ◽  
Ibrahim Ismail M.Abu ◽  
...  
Keyword(s):  
Prevention And Control ◽  
Neonatal Intensive Care ◽  
Control Measures ◽  
Neonatal Intensive Care Units ◽  
Community Physician ◽  
Coronavirus Infection ◽  
Novel Coronavirus ◽  
And Control ◽  
Who Guideline ◽  
Immature Immune System

An epidemic of new coronavirus 2019 (COVID-19) has emerged in China since December 2019. WHO declared it as a pandemic on March 2020 as it has spread worldwide. Several cases among neonate were observed with rst reported 36 hours after birth. Due to the possibility of the infection and the immature immune system of the neonate there should be preventive and control measures at Neonatal Intensive Care Units. According to WHO guideline and other published articles in COVID-19 in infants and neonate a technical working group including community physician and Pediatricians has put measures for clinical management, prevention and control of COVID-19 in neonates.

scholarly journals Coronavirus Disease 2019 (COVID-19): Emerging and Future Challenges for Dental and Oral Medicine

2020 ◽  
Vol 99 (5) ◽  
pp. 481-487 ◽  
Author(s):  
L. Meng ◽  
F. Hua ◽  
Z. Bian
Keyword(s):  
Public Health ◽  
Infection Control ◽  
Control Measures ◽  
World Health ◽  
Infection Control Measures ◽  
Dental Practitioners ◽  
The World ◽  
Essential Knowledge ◽  
Novel Coronavirus ◽  
Health Organization

The epidemic of coronavirus disease 2019 (COVID-19), originating in Wuhan, China, has become a major public health challenge for not only China but also countries around the world. The World Health Organization announced that the outbreaks of the novel coronavirus have constituted a public health emergency of international concern. As of February 26, 2020, COVID-19 has been recognized in 34 countries, with a total of 80,239 laboratory-confirmed cases and 2,700 deaths. Infection control measures are necessary to prevent the virus from further spreading and to help control the epidemic situation. Due to the characteristics of dental settings, the risk of cross infection can be high between patients and dental practitioners. For dental practices and hospitals in areas that are (potentially) affected with COVID-19, strict and effective infection control protocols are urgently needed. This article, based on our experience and relevant guidelines and research, introduces essential knowledge about COVID-19 and nosocomial infection in dental settings and provides recommended management protocols for dental practitioners and students in (potentially) affected areas.

scholarly journals Classification Connection of Twitter Data using K-Means Clustering

2019 ◽  
Vol 8 (6S4) ◽  
pp. 14-22
Keyword(s):  
Social Media ◽  
Real Time ◽  
Clustering Methods ◽  
Time Analysis ◽  
Data Set ◽  
Dynamic Data ◽  
Real Time Analysis ◽  
Twitter Data ◽  
Social Media Platforms ◽  
Insight Into

The rise of social media platforms like Twitter and the increasing adoption by people in order to stay connected provide a large source of data to perform analysis based on the various trends, events and even various personalities. Such analysis also provides insight into a person’s likes and inclinations in real time independent of the data size. Several techniques have been created to retrieve such data however the most efficient technique is clustering. This paper provides an overview of the algorithms of the various clustering methods as well as looking at their efficiency in determining trending information. The clustered data may be further classified by topics for real time analysis on a large dynamic data set. In this paper, data classification is performed and analyzed for flaws followed by another classification on the same data set.

scholarly journals Potential impact of seasonal forcing on a SARS-CoV-2 pandemic

2020 ◽  
Author(s):  
Richard A. Neher ◽  
Robert Dyrdak ◽  
Valentin Druelle ◽  
Emma B. Hodcroft ◽  
Jan Albert
Keyword(s):  
Seasonal Variation ◽  
Infection Control ◽  
Transmission Rate ◽  
Health Care Systems ◽  
Control Measures ◽  
Rate Variation ◽  
Small Peak ◽  
Infection Control Measures ◽  
Care Systems ◽  
Novel Coronavirus

A novel coronavirus (SARS-CoV-2) first detected in Wuhan, China, has spread rapidly since December 2019, causing more than 80,000 confirmed infections and 2,700 fatalities (as of Feb 27, 2020). Imported cases and transmission clusters of various sizes have been reported globally suggesting a pandemic is likely.Here, we explore how seasonal variation in transmissibility could modulate a SARS-CoV-2 pandemic. Data from routine diagnostics show a strong and consistent seasonal variation of the four endemic coronaviruses (229E, HKU1, NL63, OC43) and we parameterize our model for SARS-CoV-2 using these data. The model allows for many subpopulations of different size with variable parameters. Simulations of different scenarios show that plausible parameters result in a small peak in early 2020 in temperate regions of the Northern Hemisphere and a larger peak in winter 2020/2021. Variation in transmission and migration rates can result in substantial variation in prevalence between regions.While the uncertainty in parameters is large, the scenarios we explore show that transient reductions in the incidence rate might be due to a combination of seasonal variation and infection control efforts but do not necessarily mean the epidemic is contained. Seasonal forcing on SARS-CoV-2 should thus be taken into account in the further monitoring of the global transmission. The likely aggregated effect of seasonal variation, infection control measures, and transmission rate variation is a prolonged pandemic wave with lower prevalence at any given time, thereby providing a window of opportunity for better preparation of health care systems.

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