Ontology Driven Cross-Linked Domain Data Integration and Spatial Semantic Multi Criteria Query System for Geospatial Public Health

2018 ◽  
Vol 14 (3) ◽  
pp. 1-30 ◽  
Author(s):  
Sunitha Abburu
Keyword(s):  
Public Health ◽  
Health Knowledge ◽  
Vital Role ◽  
Query Engine ◽  
Public Health Information ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Domain Integration ◽  
Effective Public Health ◽  
Query Patterns

This article describes how public health information management is an interdisciplinary application which deals with cross linked application domains. Geospatial environment, place and meteorology parameters effect public health. Effective decision making plays a vital role and requires disease data analysis which in turn requires effective Public Health Knowledge Base (PHKB) and a strong efficient query engine. Ontologies enhance the performance of the retrieval system and achieve application interoperability. The current research aims at building PHKB through ontology based cross linked domain integration. It designs a dynamic GeoSPARQL query building from simple form based query composition. The spatial semantic multi criteria query engine is developed by identifying all possible query patterns considering the ontology elements and multi criteria from cross linked application domains. The research has adopted OGC, W3C, WHO and mHealth standards.

Ontology Driven Cross-Linked Domain Data Integration and Spatial Semantic Multi Criteria Query System for Geospatial Public Health

2019 ◽  
pp. 714-743
Author(s):  
Sunitha Abburu
Keyword(s):  
Public Health ◽  
Health Knowledge ◽  
Vital Role ◽  
Query Engine ◽  
Public Health Information ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Domain Integration ◽  
Effective Public Health ◽  
Query Patterns

This article describes how public health information management is an interdisciplinary application which deals with cross linked application domains. Geospatial environment, place and meteorology parameters effect public health. Effective decision making plays a vital role and requires disease data analysis which in turn requires effective Public Health Knowledge Base (PHKB) and a strong efficient query engine. Ontologies enhance the performance of the retrieval system and achieve application interoperability. The current research aims at building PHKB through ontology based cross linked domain integration. It designs a dynamic GeoSPARQL query building from simple form based query composition. The spatial semantic multi criteria query engine is developed by identifying all possible query patterns considering the ontology elements and multi criteria from cross linked application domains. The research has adopted OGC, W3C, WHO and mHealth standards.

scholarly journals World leaders’ usage of Twitter in response to the COVID-19 pandemic: a content analysis

2020 ◽  
Vol 42 (3) ◽  
pp. 510-516 ◽  
Author(s):  
Sohaib R Rufai ◽  
Catey Bunce
Keyword(s):  
Public Health ◽  
Content Analysis ◽  
Health Information ◽  
Inclusion Criteria ◽  
Group Of Seven ◽  
Health Measures ◽  
Twitter Data ◽  
Public Health Information ◽  
Effective Public Health

ABSTRACT Background It is crucial that world leaders mount effective public health measures in response to COVID-19. Twitter may represent a powerful tool to help achieve this. Here, we explore the role of Twitter as used by Group of Seven (G7) world leaders in response to COVID-19. Methods This was a qualitative study with content analysis. Inclusion criteria were as follows: viral tweets from G7 world leaders, attracting a minimum of 500 ‘likes’; keywords ‘COVID-19’ or ‘coronavirus’; search dates 17 November 2019 to 17 March 2020. We performed content analysis to categorize tweets into appropriate themes and analyzed associated Twitter data. Results Eight out of nine (88.9%) G7 world leaders had verified and active Twitter accounts, with a total following of 85.7 million users. Out of a total 203 viral tweets, 166 (82.8%) were classified as ‘Informative’, of which 48 (28.6%) had weblinks to government-based sources, while 19 (9.4%) were ‘Morale-boosting’ and 14 (6.9%) were ‘Political’. Numbers of followers and viral tweets were not strictly related. Conclusions Twitter may represent a powerful tool for world leaders to rapidly communicate public health information with citizens. We would urge general caution when using Twitter for health information, with a preference for tweets containing official government-based information sources.

ANALYSIS OF AN HIV/AIDS MODEL WITH PUBLIC-HEALTH INFORMATION CAMPAIGNS AND INDIVIDUAL WITHDRAWAL

2010 ◽  
Vol 18 (02) ◽  
pp. 357-375 ◽  
Author(s):  
FARAI NYABADZA ◽  
CHRISTINAH CHIYAKA ◽  
ZINDOGA MUKANDAVIRE ◽  
SENELANI D. HOVE-MUSEKWA
Keyword(s):  
Public Health ◽  
Health Information ◽  
Prevention Measures ◽  
Information Campaigns ◽  
Sexual Activities ◽  
Public Health Information ◽  
Sexual Behavior Change ◽  
Number Formula ◽  
Effective Public Health ◽  
Hiv Aids

Primary prevention measures designed to alter susceptibility and/or reduce exposure of susceptible individuals to diseases, remain the mainstay in the fight against HIV/AIDS. A model for HIV/AIDS, that investigates the reduction in infection by advocating for sexual behavior change through public-health information campaigns and withdrawal of individuals with AIDS from sexual activity is proposed and analyzed. The contact rate is modeled using an incidence function with saturation that depends on the number of infectives. The dynamics of the model is determined using the model reproduction number [Formula: see text]. Numerical simulations are presented to illustrate the role of some key epidemiological parameters. The results from the study demonstrate that an increase in the rate of dissemination of effective public-health information campaigns results in a decrease in the prevalence of the disease. Similarly, an increase in the fraction of individuals with AIDS who withdraw from sexual activities reduces the burden of the disease.

scholarly journals PhD supervision in Public Health

2021 ◽  
Vol 20 (1) ◽  
pp. 1-4
Author(s):  
Pramod R Regmi ◽  
Amudha Poobalan ◽  
Padam Simkhada ◽  
Edwin Van Teijlingen
Keyword(s):  
Public Health ◽  
Health Knowledge ◽  
Vital Role ◽  
Grant Applications ◽  
Conference Presentations ◽  
Phd Supervision ◽  
Student Relationship ◽  
Pastoral Support ◽  
Effective Supervision

Roles of PhD supervisors are diverse, ranging from providing in-depth discipline-specific Public Health knowledge and technical (e.g., methodological) support to the students, encouraging them towards publications or conference presentations, offering pastoral support for student wellbeing, and finally preparing them to defend their thesis by conducting a mock viva. Effective supervision plays a vital role in a PhD journey reflecting on the quality of the PhD work, positive PhD experience, and supervisor-student relationship. While some student-supervisors team may encounter conflicting and challenging relationships, many relationships between PhD supervisor(s) and students progress into mentorship through joint publications and grant applications, career advice, and support establishing wider collaborative networks. Drawing from the wider experiences of the authors, this article highlights the responsibilities, opportunities, and sometimes the challenging nature of being a PhD supervisor. This reflection will inform good practices for PhD supervisors in countries including Nepal, where the numbers of PhD students in the field of Public Health is steadily increasing.

GIS Based Health Information Management through LETL, Multi Criteria Query, Analysis, Visualization

2021 ◽  
pp. 433-451
Author(s):  
Sunitha Abburu
Keyword(s):  
Health Information ◽  
Information Management ◽  
Cost Effective ◽  
Spatiotemporal Analysis ◽  
Health Information Management ◽  
Global Perspective ◽  
Query Engine ◽  
Public Health Information ◽  
Icd 10 ◽  
Effective Decision Making

For effective decision making in public health information management(HIM) system, health information availability, accessibility, prompt exchange, GIS linkage, spatiotemporal analysis of diseases is crucial. Lack of cost-effective technical support and information gaps are the main obstacles in HIM. This article defines a generic conceptual process framework for effective HIM that provides cost-effective, portable, easy to use solution. The solution incorporates GIS, Mobile technology, information management concepts, ICD-10 codes, WHO and mHealth standards. The current research is implemented as an android application that facilitates: 1) Patient disease data collection, geospatial mapping of disease data and accumulate a centralized server 2) LETL that supports bulk disease data upload 3) Addresses syntactic and semantic heterogeneity in health data 4) A strong multi-criteria query engine, visualization and spatiotemporal analysis of diseases are designed with a global perspective to be used across the globe.

Human Resource Analytics as a Life-Jacket for Organizations Amid Crisis

2021 ◽  
pp. 51-71
Author(s):  
Alper Ertürk ◽  
Razan Alkhayyat
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Human Resource ◽  
Vital Role ◽  
Significant Shift ◽  
Business Partnership ◽  
Decision Making Processes ◽  
Effective Decision ◽  
Effective Decision Making

With the advancement of information technology and the substantial increase in the production and usage of data, analytics has become an important new tool for effective decision-making processes in the organizations. The evolution of management to a digital and data-driven orientation has also caused a significant shift in the position of HRM from a more operational role to a strategic business partnership. With expeditious digitalization, along with the inevitable influence of globalization, human resource analytics (HRA) has rapidly become a crucial tool for organizations in all industries. Recent examples and catastrophic experiences, such as the COVID-19 pandemic, have proven the vital role of HR analytics for organizations to survive in times of crisis. This chapter aims to summarize what HR analytics is, how it should be implemented and utilized, and how it will be effective and play a crucial role for organizations in order to be able to survive in a crisis situation.

scholarly journals The COVID-19 Pandemic in Brazil: Some Aspects and Tools

Epidemiologia ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 243-255
Author(s):  
Pedro Rafael D. Marinho ◽  
Gauss M. Cordeiro ◽  
Hemilio Fernandes C. Coelho ◽  
Poliana C. Cabral
Keyword(s):  
Public Health ◽  
Healthcare Workers ◽  
Web Applications ◽  
Online Monitoring ◽  
Interactive Maps ◽  
Public Managers ◽  
Adverse Impacts ◽  
Public Health Challenges ◽  
Effective Decision ◽  
Effective Decision Making

The article presents some aspects related to the COVID-19 pandemic in Brazil including public health, challenges facing healthcare workers and adverse impacts on the country’s economy. Its main contribution is the availability of two web applications for online monitoring of the evolution of the pandemic in Brazil and South America. The applications provide the possibility to download data in different formats, view interactive maps and graphs of the cumulative confirmed cases, deaths and lethality rates, in addition to presenting plots of moving averages for states and municipalities. The predictions about new cases and new deaths caused by COVID-19, in states and regions of Brazil, are also reported using GAMLSS models. The forecasts can be easily used by public managers for effective decision-making.

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