scholarly journals Beyond Public Health Genomics: Can Big Data and Predictive Analytics Deliver Precision Public Health?

2018 ◽  
Vol 21 (5-6) ◽  
pp. 244-250 ◽  
Author(s):  
Muin J. Khoury ◽  
Michael Engelgau ◽  
David A. Chambers ◽  
George A. Mensah
Keyword(s):  
Public Health ◽  
Big Data ◽  
Predictive Analytics ◽  
Public Health Genomics ◽  
Precision Public Health

Are We Prepared for Precision Public Health? An Examination of Genomics Content in Graduate Public Health Programs

2021 ◽  
pp. 003335492110557
Author(s):  
Karen L. Niemchick ◽  
Ally Goerge ◽  
Amy H. Ponte
Keyword(s):  
Public Health ◽  
United States ◽  
The United States ◽  
Genome Project ◽  
Public Health Workforce ◽  
Public Health Genomics ◽  
Master Of Public Health ◽  
Precision Public Health ◽  
Populations At Risk ◽  
Genomics Education

Objective With the completion of the Human Genome Project and swift development of genomic technologies, public health practitioners can use these advancements to more precisely target disease interventions to populations at risk. To integrate these innovations into better health outcomes, public health professionals need to have at least a basic understanding of genomics within various disciplines of public health. This descriptive study focused on the current level of genomics content in accredited master of public health (MPH) programs in the United States. Methods We conducted an internet search on all 171 Council on Education for Public Health (CEPH)–accredited MPH programs in the United States for genomics content in required and elective courses using the search terms “genetics,” “genomics,” and “molecular.” Results Of the 171 CEPH-accredited MPH programs examined, 52 (30.4%) schools and programs in 34 states offered some type of genomics education. Thirty-five (20.5%) schools and programs had a course in genetic epidemiology, 29 (16.9%) had a course in genetic biostatistics or bioinformatics, and 17 (9.9%) had a course in general public health genomics. The remaining 119 offered no course with a focus on genetics or genomics. In addition, some electives or specifically focused courses related to genomics were offered. Conclusion We found inadequate training in public health genomics for MPH students. To realize the promise of precision public health and to increase the understanding of genomics among the public health workforce, MPH programs need to find ways to integrate genomics education into their curricula.

IoT and Big Data in Public Health

2018 ◽  
pp. 309-321 ◽  
Author(s):  
Fernando Enrique Lopez Martinez ◽  
Maria Claudia Bonfante ◽  
Ingrid Gonzalez Arteta ◽  
Ruby Elena Muñoz Baldiris
Keyword(s):  
Public Health ◽  
Big Data ◽  
Small Groups ◽  
Predictive Analytics ◽  
World Health ◽  
Healthcare Outcomes ◽  
Public Health Organizations ◽  
Health Organization ◽  
Proactive Care ◽  
The Internet Of Things

Technology can transform lives, and nowadays, the internet of things and big data are helping developing countries to improve healthcare outcomes and deliver better services. In Colombia, a lot of municipalities do not have reliable healthcare information systems, and still, a lot of the current processes that collect critical information related to public health are being made manually. Small groups of researchers are trying to include different stakeholders in active IoT and big data projects by using connected sensors and other IoT technologies that drive improvement in healthcare. According to the World Health Organization, hypertension is considered one of the most prevalent chronic diseases in Latin America today, and it has had an exponential growth in the last 10 years. This chapter utilizes data acquisition sensors, large medical datasets, and machine-learning methods to perform predictive analytics in a hypertensive population in Cartagena to assist public health organizations to create proactive care programs to prevent the increase of this disease in Cartagena.

IoT and Big Data in Public Health

2021 ◽  
pp. 399-409
Author(s):  
Fernando Enrique Lopez Martinez ◽  
Maria Claudia Bonfante ◽  
Ingrid Gonzalez Arteta ◽  
Ruby Elena Muñoz Baldiris
Keyword(s):  
Public Health ◽  
Big Data ◽  
Small Groups ◽  
Predictive Analytics ◽  
World Health ◽  
Healthcare Outcomes ◽  
Public Health Organizations ◽  
Health Organization ◽  
Proactive Care ◽  
The Internet Of Things

Technology can transform lives, and nowadays, the internet of things and big data are helping developing countries to improve healthcare outcomes and deliver better services. In Colombia, a lot of municipalities do not have reliable healthcare information systems, and still, a lot of the current processes that collect critical information related to public health are being made manually. Small groups of researchers are trying to include different stakeholders in active IoT and big data projects by using connected sensors and other IoT technologies that drive improvement in healthcare. According to the World Health Organization, hypertension is considered one of the most prevalent chronic diseases in Latin America today, and it has had an exponential growth in the last 10 years. This chapter utilizes data acquisition sensors, large medical datasets, and machine-learning methods to perform predictive analytics in a hypertensive population in Cartagena to assist public health organizations to create proactive care programs to prevent the increase of this disease in Cartagena.

scholarly journals Convergence of Precision Medicine and Public Health Into Precision Public Health: Toward a Big Data Perspective

2021 ◽  
Vol 9 ◽  
Author(s):  
Pedro Elkind Velmovitsky ◽  
Tatiana Bevilacqua ◽  
Paulo Alencar ◽  
Donald Cowan ◽  
Plinio Pelegrini Morita
Keyword(s):  
Public Health ◽  
Big Data ◽  
Precision Medicine ◽  
Health Data ◽  
Use Cases ◽  
The Other ◽  
Data Types ◽  
Holistic View ◽  
Precision Public Health ◽  
Other Hand

The field of precision medicine explores disease treatments by looking at genetic, socio-environmental, and clinical factors, thus trying to provide a holistic view of a person's health. Public health, on the other hand, is focused on improving the health of populations through preventive strategies and timely interventions. With recent advances in technology, we are able to collect, analyze and store for the first-time large volumes of real-time, diverse and continuous health data. Typically, the field of precision medicine deals with a huge amount of data from few individuals; public health, on the other hand, deals with limited data from a population. With the coming of Big Data, the fields of precision medicine and public health are converging into precision public health, the study of biological and genetic factors supported by large amounts of population data. In this paper, we explore through a comprehensive review the data types and use cases found in precision medicine and public health. We also discuss how these data types and use cases can converge toward precision public health, as well as challenges and opportunities provided by research and analyses of health data.

scholarly journals Scientific challenges for precision public health

2020 ◽  
Vol 74 (4) ◽  
pp. 311-314 ◽  
Author(s):  
Frank Kee ◽  
David Taylor-Robinson
Keyword(s):  
Public Health ◽  
Big Data ◽  
Intervention Strategy ◽  
Current Theory ◽  
Individual Agency ◽  
Precision Public Health ◽  
New Information ◽  
The Social ◽  
The Subject ◽  
Scientific Questions

The notion of ‘precision’ public health has been the subject of much debate, with recent articles coming to its defence following the publication of several papers questioning its value.Critics of precision public health raise the following problems and questionable assumptions: the inherent limits of prediction for individuals; the limits of approaches to prevention that rely on individual agency, in particular the potential for these approaches to widen inequalities; the undue emphasis on the supposed new information contained in individuals’ molecules and their ‘big data’ at the expense of their own preferences for a particular intervention strategy and the diversion of resources and attention from the social determinants of health.In order to refocus some of these criticisms of precision public health as scientific questions, this article outlines some of the challenges when defining risk for individuals; the limitations of current theory and study design for precision public health; and the potential for unintended harms.

scholarly journals The intersection of genomics and big data with public health: Opportunities for precision public health

PLoS Medicine ◽  
2020 ◽  
Vol 17 (10) ◽  
pp. e1003373
Author(s):  
Muin J. Khoury ◽  
Gregory L. Armstrong ◽  
Rebecca E. Bunnell ◽  
Juliana Cyril ◽  
Michael F. Iademarco
Keyword(s):  
Public Health ◽  
Big Data ◽  
Precision Public Health

scholarly journals Big data hurdles in precision medicine and precision public health

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Mattia Prosperi ◽  
Jae S. Min ◽  
Jiang Bian ◽  
François Modave
Keyword(s):  
Public Health ◽  
Big Data ◽  
Precision Medicine ◽  
Precision Public Health

scholarly journals From public health genomics to precision public health: a 20-year journey

2017 ◽  
Vol 20 (6) ◽  
pp. 574-582 ◽  
Author(s):  
Muin J Khoury ◽  
M Scott Bowen ◽  
Mindy Clyne ◽  
W David Dotson ◽  
Marta L Gwinn ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Genomics ◽  
Precision Public Health
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