scholarly journals The Early Response to the Coronavirus-Surveys in Southern Texas

2021 ◽  
Vol 13 (10) ◽  
pp. 75
Author(s):  
Meng Zhao ◽  
Laura Monahan ◽  
Michael Monahan ◽  
Yuxia Huang ◽  
Sunil Mathur
Keyword(s):  
Health Care Policy ◽  
Early Response ◽  
Care Policy ◽  
Convenience Sample ◽  
Public Health Agencies ◽  
Education And Health ◽  
Health Agencies ◽  
Perceived Preparedness ◽  
The One ◽  
Early Phases

The objective of this study was to investigate if Southern Texas communities were prepared in their awareness and knowledge of the coronavirus disease 2019 (COVID-19) in timed snapshots as the pandemic unfolded. Two assessment surveys were implemented utilizing the Coronavirus Awareness and Preparedness Scale (CAPS) in March and April 2020, respectively. A convenience sample of university faculty in Southern Texas was used. Responses to survey questions changed significantly in the one-month timeframe. Respondents' perception of the COVID-19 threat increased dramatically from March to April, while their perceived preparedness facing the COVID-19 also increased tremendously. The recognized benefits of mask-wearing were limited in both March and April. Males and older people aged 55 and above had significantly lower awareness of the COVID-19 in March (p< 0.05) and may need more attention at the early phases of a pandemic. The increased availability of COVID-19 information through public health agencies led to the increased awareness of COVID-19. When facing a pandemic, both healthcare education and health care policy approaches are essential in addressing the containment and the eradication of COVID-19.

Application of Big Data in Digital Epidemiology

2019 ◽  
pp. 285-305
Author(s):  
Sameena Naaz ◽  
Farheen Siddiqui
Keyword(s):  
Big Data ◽  
Management Tools ◽  
Human Errors ◽  
Public Health Agencies ◽  
Health Agencies ◽  
Huge Impact ◽  
Digital Epidemiology ◽  
Health And Disease ◽  
Occurrence Pattern ◽  
The One

Epidemiology is the study of dynamics of health and disease in human population. It aims to identify the occurrence, pattern, and etiology of human diseases so that the causes of these diseases can be understood, which in turn will help in preventing their spread. In traditional epidemiology, the data is collected by various public health agencies through various means. Many times, the actual figures vary a lot from the one reported. Sometimes this difference is due to human errors, but most of the time, it is due to intentional underreporting. Big data techniques can be used to analyze this huge amount of data so as to extract useful information from it. The electronic health data is so large and complex that it cannot be processed using traditional software and hardware. It is also not possible to manage this data using traditional data management tools. This data is huge in terms of volume as well as diversity and the speed at which it is being generated. The ability to combine and analyze these different sources of data has huge impact on epidemic tracking.

Application of Big Data in Digital Epidemiology

2022 ◽  
pp. 958-978
Author(s):  
Sameena Naaz ◽  
Farheen Siddiqui
Keyword(s):  
Big Data ◽  
Management Tools ◽  
Human Errors ◽  
Public Health Agencies ◽  
Health Agencies ◽  
Huge Impact ◽  
Digital Epidemiology ◽  
Health And Disease ◽  
Occurrence Pattern ◽  
The One

Epidemiology is the study of dynamics of health and disease in human population. It aims to identify the occurrence, pattern, and etiology of human diseases so that the causes of these diseases can be understood, which in turn will help in preventing their spread. In traditional epidemiology, the data is collected by various public health agencies through various means. Many times, the actual figures vary a lot from the one reported. Sometimes this difference is due to human errors, but most of the time, it is due to intentional underreporting. Big data techniques can be used to analyze this huge amount of data so as to extract useful information from it. The electronic health data is so large and complex that it cannot be processed using traditional software and hardware. It is also not possible to manage this data using traditional data management tools. This data is huge in terms of volume as well as diversity and the speed at which it is being generated. The ability to combine and analyze these different sources of data has huge impact on epidemic tracking.

scholarly journals Inovasi Birokrasi dan Optimalisasi Pelayanan Publik: Belajar dari Jembrana, Bali

Humaniora ◽  
2010 ◽  
Vol 1 (2) ◽  
pp. 276
Author(s):  
Romanus Ndau Lendong
Keyword(s):  
Public Service ◽  
Health Care Policy ◽  
Municipal Government ◽  
Religious Diversity ◽  
Main Character ◽  
Care Policy ◽  
Education And Health ◽  
Millenium Development Goals ◽  
Development Goals ◽  
International Fund

Jembrana Regency is placed strategically to keep Bali existence as a building of culture and civilization. Tribe and religious diversity cause Jembrana to be viewed as ’another Bali’, that is a more dynamic and compromising Bali. The current Jembrana is now mesmerizing after less than ten years in self renovation. This article will talk about how strategic bureaucratic innovation in optimalization of public service. Free education and health care policy, that are run consistently by Jembrana’s municipal government, become its frontliner in reaching Millenium Development Goals (MDGs) target. Prof. Dr. I Gede Winasa, former regent of Jembrana, is the main character behind this success. His background as academician and expanded relations from international fund organizations are his crusial ammunition to actualize his obsession absolving Jembrana from poverty, stupidity, and backwardness. Among what happens to this country, Jembrana’s breakthrough is worthy to be adopted in other areas in this country. 

Older workers in the Russian labor market: Trends in employment reallocation

2019 ◽  
pp. 5-34
Author(s):  
Anna L. Lukyanova ◽  
Rostislav I. Kapeliushnikov
Keyword(s):  
Older Workers ◽  
Service Sector ◽  
Age Groups ◽  
The Elderly ◽  
Education And Health ◽  
Job Opportunities ◽  
Intellectual Labor ◽  
Market Trends ◽  
Trade Education ◽  
The One

The paper analyzes changes in job opportunities of older workers in Russia in the period 2005—2017. The study uses the data from the Russian Labor Force Survey conducted by Rosstat. Changes in the occupational and industrial composition of elderly workers follow the trends pursued by other age groups: employment shifts from low- to high-skilled occupations, from physical to intellectual labor, and from material production to the service sector. We find a stronger polarization among older workers as their occupational structure is biased in favor of, on the one hand, the most and, on the other hand, the least qualified types of jobs. Employment of the elderly has fallen sharply in agriculture and manufacturing with a significant increase in trade, education, and health. Although the employment structure of older workers is generally more “traditionalist”, recent decades have witnessed its transformation in “progressive” directions, similarly to other age groups. These findings suggest that the legislated increase in the state retirement age is not likely to give rise to sizeable unemployment among the elderly. Most of them will be able to work in the occupations and industries previously dominated by young and prime-age workers.

The Perils of Partnership

2019 ◽  
Author(s):  
Jonathan H. Marks
Keyword(s):  
Public Health ◽  
Multinational Corporations ◽  
Separation Of Powers ◽  
Public Health Research ◽  
Noncommunicable Diseases ◽  
New Paradigm ◽  
Public Health Agencies ◽  
Ethical Implications ◽  
Health Agencies ◽  
Public Bodies

Collaboration with industry has become the paradigm in public health. Governments commonly develop close relationships with companies that are creating or exacerbating the very problems public health agencies are trying to solve. Nowhere is this more evident than in partnerships with food and soda companies to address obesity and diet-related noncommunicable diseases. The author argues that public-private partnerships and multistakeholder initiatives create webs of influence that undermine the integrity of public health agencies; distort public health research and policy; and reinforce the framing of public health problems and their solutions in ways that are least threatening to the commercial interests of corporate “partners.” We should expect multinational corporations to develop strategies of influence. But public bodies need to develop counter-strategies to insulate themselves from corporate influence in all its forms. The author reviews the ways in which we regulate public-public interactions (separation of powers) and private-private interactions (antitrust and competition laws), and argues for an analogous set of norms to govern public-private interactions. The book also offers a novel framework that is designed to help public bodies identify the systemic ethical implications of their existing or proposed relationships with industry actors. The book makes a compelling case that, in public health, the paradigm public-private interaction should be at arm’s length: separation, not collaboration. The author calls for a new paradigm to protect and promote public health while avoiding the ethical perils of partnership with industry.

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