Improving disease surveillance capabilities through a public health information affinity domain

Ortega, José Armando Ahued; Velazquez, Jorge Gerardo Morales; Renly, Sondra; Edlund, Stefan; Kaufman, James H.

doi:10.1145/1882992.1883079

Cited by 2 publications

(3 citation statements)

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“…33 The next important issue is public health information system architectural design and capability. 24,38,40,43,46,50,51,53,54,59,60,70 Mirhaji, 46 Ortega et al, 50 Reeder et al, 51 and Yih et al 70 examined the state of electronic PHS conceptualization, design, analysis, and implementation in the US and concluded that the evolution of the internet has tremendously changed public health delivery. However, due to the complexity of PHS data collection, electronic surveillance systems should be designed to enable reusing data and sharing.…”

Section: Definition Of the Term Phimentioning

confidence: 99%

“…1, These studies were further divided into three categories: (1) definition of the term PHI; 69 (2) type of public health surveillance (PHS) systems and implications for public health (23 studies); 13,14,19,21-23,25,27,29,32,34,41,44,45,47-49, 55,58,61,65,67,71 and (3) electronic surveillance systems functionality, capability, training, and challenges (37 studies). 1,[15][16][17][18]20,24,[26][27][28]30,31,33,[35][36][37][38][39][40]42,43,46,[50][51][52][53][54][55][56][57][58][59][60][62][63][64]66,[68][69][70] See Tables 1 and 2 for details.…”

Section: Since the Publications Of The Two Institute Of Medicine (Iom) Reports To Err Is Humanmentioning

confidence: 99%

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Public health delivery in the information age: the role of informatics and technology

Williams

Oke

Zachary

2019

Perspect Public Health

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Aim: Public health systems have embraced health informatics and information technology as a potential transformational tool to improve real-time surveillance systems, communication, and sharing of information among various agencies. Global pandemic outbreaks like Zika and Ebola were quickly controlled due to electronic surveillance systems enabling efficient information access and exchange. However, there is the need for a more robust technology to enhance adequate epidemic forecasting, data sharing, and effective communication. The purpose of this review was to examine the use of informatics and information technology tools and its impact on public health delivery. Method: Investigators searched six electronic databases. These were MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL) Complete, Cochrane Database of Systematic Reviews, COMPENDEX, Scopus, and Academic Search Premier from January 2000 to 31 March 2016. Results: A total of 60 articles met the eligibility criteria for inclusion. These studies were organized into three areas as (1) definition of the term public health informatics; (2) type of public health surveillance systems and implications for public health; and (3) electronic surveillance systems functionality, capability, training, and challenges. Our analysis revealed that due to the growing expectations to provide real-time response and population-centered evidence-based public health in this information-driven age there has been a surge in informatics and information technology adoption. Education and training programs are now available to equip public health students and professionals with skills in public health informatics. However, obstacles including interoperability, data standardization, privacy, and technology transfer persist. Conclusion: Re-engineering the delivery of public health is necessary to meet the demands of the 21st century and beyond. To meet this expectation, public health must invest in workforce development and capacity through education and training in informatics.

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Section: Definition Of the Term Phimentioning

confidence: 99%

Section: Since the Publications Of The Two Institute Of Medicine (Iom) Reports To Err Is Humanmentioning

confidence: 99%

Public health delivery in the information age: the role of informatics and technology

Williams

Oke

Zachary

2019

Perspect Public Health

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“…In 3 weeks, influenza accounted for 90,000 visits to 220 health units and 20 hospitals in Mexico City. 11 The mayor's response, controversial at the time, was to implement social distancing measures, closing schools on April 24 and restaurants on April 28. All were reopened by May 11.…”

Section: Stem Projectsmentioning

confidence: 99%

STEM: An Open Source Tool for Disease Modeling

et al. 2019

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The Spatiotemporal Epidemiologic Modeler (STEM) is an open source software project supported by the Eclipse Foundation and used by a global community of researchers and public health officials working to track and, when possible, control outbreaks of infectious disease in human and animal populations. STEM is not a model or a tool designed for a specific disease; it is a flexible, modular framework supporting exchange and integration of community models, reusable plug-in components, and denominator data, available to researchers worldwide at . A review of multiple projects illustrates its capabilities. STEM has been used to study variations in transmission of seasonal influenza in Israel by strains; evaluate social distancing measures taken to curb the H1N1 epidemic in Mexico City; study measles outbreaks in part of London and inform local policy on immunization; and gain insights into H7N9 avian influenza transmission in China. A multistrain dengue fever model explored the roles of the mosquito vector, cross-strain immunity, and antibody response in the frequency of dengue outbreaks. STEM has also been used to study the impact of variations in climate on malaria incidence. During the Ebola epidemic, a weekly conference call supported the global modeling community; subsequent work modeled the impact of behavioral change and tested disease reintroduction via animal reservoirs. Work in Germany tracked salmonella in pork from farm to fork; and a recent doctoral dissertation used the air travel feature to compare the potential threats posed by weaponizing infectious diseases. Current projects include work in Great Britain to evaluate control strategies for parasitic disease in sheep, and in Germany and Hungary, to validate the model and inform policy decisions for African swine fever. STEM Version 4.0.0, released in early 2019, includes tools used in these projects and updates technical aspects of the framework to ease its use and re-use.

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Improving disease surveillance capabilities through a public health information affinity domain

Cited by 2 publications

References 13 publications

Public health delivery in the information age: the role of informatics and technology

Public health delivery in the information age: the role of informatics and technology

STEM: An Open Source Tool for Disease Modeling

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