scholarly journals Pandemic--The Role of the Electronic Sharing of Public Health Data, Public Health Data Science, and Public Health Action

2020 ◽  
Vol 5 (3) ◽  
pp. 73-74
Author(s):  
Gregory Fant ◽  
Keyword(s):  
Public Health ◽  
Data Science ◽  
Health Data ◽  
Public Health Action ◽  
Public Health Data ◽  
Health Action

scholarly journals Time to dismiss the idea of a structural fix within government? An analysis of intersectoral action for health in Danish municipalities

2018 ◽  
Vol 46 (22_suppl) ◽  
pp. 48-57 ◽  
Author(s):  
Ditte H. Holt ◽  
Gemma Carey ◽  
Morten H. Rod
Keyword(s):  
Public Health ◽  
Boundary Spanning ◽  
Governance Structures ◽  
Intersectoral Action ◽  
Structural Reorganization ◽  
Organizational Boundaries ◽  
Public Health Action ◽  
Process Consulting ◽  
Health Action

Aims: This paper examines the role of organizational structure within government(s) in attempts to implement intersectoral action for health in Danish municipalities. We discuss the implications of structural reorganization and the governance structures that are established in order to ensure coordination and integration between policy sectors. Methods: The paper is based on 49 interviews with civil servants from health and non-health sectors of 10 municipalities. Based on participants’ experiences, cases have been described and analyzed in an iterative process consulting the literature on Health in All Policies and joined-up government. Results: Continuous and frequent processes of reorganizing were widespread in the municipalities. However, they appeared to have little effect on policy change. The two most common governance structures established to transcend organizational boundaries were the central unit and the intersectoral committee. According to the experiences of participants, paradoxically both of these organizational solutions tend to reproduce the organizational problems they are intended to overcome. Even if structural reorganization may succeed in dissolving some sector boundaries, it will inevitably create new ones. Conclusions: It is time to dismiss the idea that intersectoral action for health can be achieved by means of a structural fix. Rather than rearranging organizational boundaries it may be more useful to seek to manage the silos which exist in any organization, e.g. by promoting awareness of their implications for public health action and by enhancing the boundary spanning skills of public health officers.

scholarly journals Public Health and Epidemiology Informatics: Recent Research Trends Moving toward Public Health Data Science

2020 ◽  
Vol 29 (01) ◽  
pp. 231-234
Author(s):  
Sébastien Cossin ◽  
Rodolphe Thiébaut ◽  
Keyword(s):  
Public Health ◽  
Rural Communities ◽  
Low Income ◽  
Disease Surveillance ◽  
Data Science ◽  
Health Data ◽  
Low Income Countries ◽  
Editorial Committee ◽  
Disease Surveillance System ◽  
Public Health Data

Objectives: To introduce and summarize current research in the field of Public Health and Epidemiology Informatics. Methods: PubMed searches of 2019 literature concerning public health and epidemiology informatics were conducted and the returned references were reviewed by the two section editors to select 14 candidate best papers. These papers were then peer-reviewed by external reviewers to allow the Editorial Committee a curated selection of the best papers. Results: Among the 835 references retrieved from PubMed, two were finally selected as best papers. The first best paper leverages satellite images and deep learning to identify remote rural communities in low-income countries; the second paper describes the development of a worldwide human disease surveillance system based on near real-time news data from the GDELT project. Internet data and electronic health records are still widely used to detect and monitor disease activity. Identifying and targeting specific audiences for public health interventions is a growing subject of interest. Conclusions: The ever-increasing amount of data available offers endless opportunities to develop methods and tools that could assist public health surveillance and intervention belonging to the growing field of public health Data Science. The transition from proofs of concept to real world applications and adoption by health authorities remains a difficult leap to make.

Shigella as a Food borne Pathogen

1987 ◽  
Vol 50 (9) ◽  
pp. 788-801 ◽  
Author(s):  
J. L. SMITH
Keyword(s):  
Public Health ◽  
Foodborne Pathogen ◽  
The United States ◽  
Health Data ◽  
Model Systems ◽  
Growth And Survival ◽  
Public Health Data ◽  
Food Borne ◽  
Foodborne Outbreaks

Shigellosis is classically thought of as a waterborne disease; however, public health data suggest that foodborne outbreaks are a significant, if not the major cause of the disease in the United States. The role of Shigella as a foodborne pathogen is reviewed, including discussions of taxonomy, epidemiology, virulence factors, growth and survival in foods and model systems, and methods for detection/identification in food products.

scholarly journals The Emergence and Future of Public Health Data Science

2021 ◽  
Vol 42 ◽  
Author(s):  
Jeff Goldsmith ◽  
Yifei Sun ◽  
Linda P. Fried ◽  
Jeannette Wing ◽  
Gary W. Miller ◽  
...  
Keyword(s):  
Public Health ◽  
Health Research ◽  
Data Science ◽  
Public Health Research ◽  
Health Data ◽  
Science Methods ◽  
Critical Component ◽  
Public Health Perspective ◽  
Public Health Data ◽  
Term Data

Data science is a newly‐formed and, as yet, loosely‐defined discipline that has nonetheless emerged as a critical component of successful scientific research. We seek to provide an understanding of the term “data science,” particularly as it relates to public health; to identify ways that data science methods can strengthen public health research; to propose ways to strengthen education for public health data science; and to discuss issues in data science that may benefit from a public health perspective.

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