Investigating public health through urban form data mining with geographic information system and space syntax

2016 ◽  
Vol 6 (2/3/4) ◽  
pp. 167
Author(s):  
Xin Li ◽  
Yanfei Jia ◽  
Xing Liu ◽  
Haibin Lv ◽  
Kuncheng Li ◽  
...  
Keyword(s):  
Public Health ◽  
Data Mining ◽  
Information System ◽  
Geographic Information System ◽  
Urban Form ◽  
Space Syntax ◽  
Geographic Information

scholarly journals Emerging cross-disciplinary profiles: The Geomatic Epidemiologist

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Recchioni ◽  
V Castello ◽  
S Del Vecchio ◽  
V Ciaccio ◽  
A M Donia ◽  
...  
Keyword(s):  
Public Health ◽  
Information System ◽  
Geographic Information System ◽  
Relevant Literature ◽  
Holistic Approach ◽  
Geographic Information ◽  
Health Study ◽  
Gis And Remote Sensing ◽  
Public Health Epidemiology ◽  
And Training

Abstract Issue Geographic information systems (GIS) and remote sensing technologies are increasingly used in Public Health epidemiology, showing a great potential in anticipating and responding to actual and future challenges for the public health system and in improving health services' excellence. According to the evidences collected within a wide meta-research carried on of relevant literature (”GIS geographic information system” and “GIS geographic information system and training” on Pubmed; “epidemiologist use of GIS and training” and “epidemiologist use of gis” on Google Scholar),GIS and new sensing technologies are mostly used to: map air and water pollution, map diseases prevalence, predict infection diseases and vector-spread diseases in big areas, study health service coverage and preparedness in emergencies, map cities and study urban health, study climate changes for decision making. Description of the Problem Specific skills and training are required to address the use of GIS and new sensing technologies.The specific aim of our study is to identify the professional profile of a new figure, called 'Geomatic Epidemiologist' and to define its professional and educational standards, as well as the relevant training programs. Results Data collection and analysis of INAPP and ESCO databases about existing professional profiles (starting from 2016) has allowed drafting a first qualification schema and profile. The profile has been defined according to the 4C model (elaborated by Univaq) distinguishing between Hard Skills (technical knowledge and skills),Soft Skills (cognitive, individual and social) and interpersonal behaviors. Conclusions Profile will be validated with relevant stakeholders and Public Health professionals in order to deepen the understanding of the main competences required to study health issues with GIS and related technologies; to this extent, a questionnaire has been elaborated to evaluate relevance, frequency and complexity of each component of the profile Key messages Developing cross-disciplinary profiles, (i.e. the Geomatic Epidemiologist) integrating clusters of competences (holistic approach). Public health research challenges and excellence.

scholarly journals Evolution of Diagnostic Methods and Prevalence Detection of COVID-19: A Review

2021 ◽  
Author(s):  
Hemant Bherwani
Keyword(s):  
Public Health ◽  
Information System ◽  
Geographic Information System ◽  
Clinical Research ◽  
Predictive Modeling ◽  
Diagnostic Techniques ◽  
Geographic Information ◽  
Diagnostic Methods ◽  
Or Management ◽  
Affected Area

In clinical, research, and public health laboratories, many diagnostic methods are used to detect the coronavirus. Some tests directly detect infection by detecting viral RNA, while others detect the disease indirectly by detecting host antibodies. Several studies on SARS-CoV-2 diagnostic methods have found varying throughput, batching capacity, infrastructure requirements, analytical efficiency, and turnaround times ranging from minutes to hours. Serosurvey studies have been conducted for antibodies to understand, model, and forecast the prevalence of the disease in an area. While on the research and predictive modeling side, sampling and analysis of sewage have been conducted to determine the number of RNA copies and hence the prevalence. Certain studies indicate usefulness of GIS (Geographic Information System) for understanding the pervasiveness of COVID-19 in an area as well. The current chapter deals with the evolution of diagnostic techniques for COVID-19 and discusses use of specific techniques and appropriateness in certain specified conditions. It also focuses on understanding the methods used for assessing the prevalence of COVID-19 in a particular region to extract mitigative strategies from it, either by prediction or management of the affected area.

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