Public health professionals’ perceptions of the capacity of China’s CDCs to address emerging and re-emerging infectious diseases

2019 ◽  
Author(s):  
Michael Xiaoliang Tong ◽  
Alana Hansen ◽  
Scott Hanson-Easey ◽  
Jianjun Xiang ◽  
Scott Cameron ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Health Professionals ◽  
Disease Surveillance ◽  
Emerging Infectious Diseases ◽  
Public Health Professionals ◽  
International Collaborations ◽  
Future Challenges ◽  
Control And Prevention ◽  
And Control

AbstractBackgroundChina’s capacity to control and prevent emerging and re-emerging infectious diseases is critical to the nation’s population health. This study aimed to explore the capacity of Centers for Disease Control and Prevention (CDCs) in China to deal with infectious diseases now and in the future.MethodsA survey was conducted in 2015 among 973 public health professionals at CDCs in Beijing and four provinces, to assess their capacity to deal with emerging and re-emerging infectious diseases.ResultsAlthough most professionals were confident with the current capacity of CDCs to cope with outbreaks, nearly all indicated more funding was required to meet future challenges. Responses indicated that Yunnan Province faced more challenges than Anhui, Henan and Liaoning Provinces in being completely prepared and able to deal with outbreaks. Participants aged 20–39 years were more likely than those aged 40 and over to believe strategies such as interdisciplinary and international collaborations for disease surveillance and control, would assist capacity building.ConclusionThe capacity of China’s CDCs to deal with infectious diseases was excellent. However, findings suggest it is imperative to increase the number of skilled CDC staff, financial support, and strengthen county level staff training and health education programs.

Notifiable Disease Databases for Client Management and Surveillance

2019 ◽  
pp. 1522-1552
Author(s):  
Ann M. Jolly ◽  
James J. Logan
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Health Professionals ◽  
Detrimental Effect ◽  
Notifiable Disease ◽  
Content Structure ◽  
Public Health Professionals ◽  
Database Structure ◽  
Client Management ◽  
Health Laws

The spread of certain infectious diseases, many of which are preventable, is widely acknowledged to have a detrimental effect on society. Reporting cases of these infections has been embodied in public health laws since the 1800s. Documenting client management and monitoring numbers of cases are the primary goals in collecting these data. A sample notifiable disease database is presented, including database structure, elements and rationales for collection, sources of data, and tabulated output. This chapter is a comprehensive guide to public health professionals on the content, structure, and processing of notifiable disease data for regional, provincial, and federal use.

scholarly journals Potential Applications of Emerging Technologies in Disease Surveillance

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Jay Huang ◽  
Wayne Loschen
Keyword(s):  
Public Health ◽  
Health Professionals ◽  
Disease Surveillance ◽  
Public Health Surveillance ◽  
New Technologies ◽  
Emerging Technologies ◽  
Surveillance Systems ◽  
The Public ◽  
Public Health Professionals ◽  
Health Field

ObjectiveThe objective of this presentation is to explore emerging technologies and how they will impact the public health field. New technologies such as blockchain, artificial intelligence (AI), and the Internet of Things (IoT) will likely be incorporated into epidemiological methods and processes. This presentation will provide an overview of these technologies and focus on how they may impact public health surveillance in the future.IntroductionWith the increase in the amount of public health data along with the growth of public health informatics, it is important for epidemiologists to understand the current trends in technology and the impact they may have in the field. Because it is unfeasible for public health professionals to be an expert in every emerging technology, this presentation seeks to provide them with a better understanding of how emerging technologies may impact the field and the level of expertise required to realize benefits from the new technologies. Furthermore, understanding the capabilities provided by emerging technologies may guide future training and continuing education for public health professionals.MethodsAnalysis of current capabilities and potential advances in emerging technologies such as blockchain, AI, and IoT were performed by reviewing articles and whitepapers. In addition to a literature review, interviews will be performed with public health experts to determine how the emerging technologies align with current practices and the extent to which they may solve existing public health surveillance challenges.ResultsThe literature review revealed many emerging technologies and potential applications in the public health field, including:BlockchainBlockchains can serve as electronic health information exchanges that hold the metadata and access information for patient electronic health records (EHRs).1 These systems can ensure data privacy protections while also facilitate relevant data sharing from EHRs to disease surveillance systems. Furthermore, blockchain technology can be used in food supply chain management systems. During food contamination events, epidemiologists can trace through the blockchain to identify possible sources of the contamination.2AIAI can be used to improve the prediction and detection capabilities of disease surveillance systems. Machine learning algorithms can reveal patterns in the data and enable faster anomaly detection. Furthermore, machine learning models can be trained on data to create predictive models.IoTUrban IoT systems can monitor environmental indices including water and air quality, energy consumption, waste management, and traffic congestion in smart cities.3 The data collected from such systems can be incorporated into more comprehensive disease surveillance systems and assist epidemiologists in better understanding populations and environmental risk factors.We will analyze and discuss such prospective applications with public health professionals to determine their potential impact on public health processes and practices in the next one, five, and ten years.ConclusionsBlockchain, AI, IoT and other emerging technologies have applications in public health surveillance and impact the field to varying degrees. In addition to technological advances, there will be barriers to adoption that must be overcome before the value provided by the technologies can be realized. Many new technologies will require significant collaboration between public health departments, healthcare providers, and other partners to successfully incorporate the technologies into epidemiological processes. These collaborations include forming consortiums to exchange data in a blockchain and working with IoT providers for data access. Some technologies will require public health professionals to obtain additional training before they can take full advantage of the capabilities provided, while other technologies may be implemented by external partners allowing epidemiologists to utilize the new capabilities without the need to completely understand the underlying concepts. As emerging technologies are introduced into the public health field, a strong understanding of their capabilities and suitable applications will allow public health professionals to fully capture the benefits provided by the new technologies.References1. Ekblaw A, Azaria A, Halamka JD, Lippman A. A Case Study for Blockchain in Healthcare:“MedRec” prototype for electronic health records and medical research data. InProceedings of IEEE open & big data conference 2016 Aug 22 (Vol. 13, p. 13).2. Yiannas F. A New Era of Food Transparency Powered by Blockchain. Innovations: Technology, Governance, Globalization. 2018 Jul;12(1-2):46-56.3. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M. Internet of things for smart cities. IEEE Internet of Things Journal. 2014 Feb 14;1(1):22-32.

scholarly journals When might Host Heterogeneity Drive the Evolution of Asymptomatic, Pandemic Coronaviruses?

2020 ◽  
Author(s):  
Kenichi W. Okamoto ◽  
Virakbott Ong ◽  
Robert G. Wallace ◽  
Rodrick Wallace ◽  
Luis Fernando Chaves
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Disease Control ◽  
Disease Surveillance ◽  
Fitness Landscape ◽  
Emerging Infectious Diseases ◽  
Disease Suppression ◽  
Contact Tracing ◽  
Pathogen Strains ◽  
Host Heterogeneity

For most emerging infectious diseases, including SARS-Coronavirus-2 (SARS-CoV-2), pharmaceutical intervensions such as drugs and vaccines are not available, and disease surveillance followed by isolating, contact-tracing and quarantining infectious individuals is critical for controlling outbreaks. These interventions often begin by identifying symptomatic individuals. However, by actively removing pathogen strains likely to be symptomatic, such interventions may inadvertently select for strains less likely to result in symptomatic infections. Additionally, the pathogen's fitness landscape is structured around a heterogeneous host pool. In particular, uneven surveillance efforts and distinct transmission risks across host classes can drastically alter selection pressures. Here we explore this interplay between evolution caused by disease control efforts, on the one hand, and host heterogeneity in the efficacy of public health interventions on the other, on the potential for a less symptomatic, but widespread, pathogen to evolve. We use an evolutionary epidemiology model parameterized for SARS-CoV-2, as the widespread potential for silent transmission by asymptomatic hosts has been hypothesized to account, in part, for its rapid global spread. We show that relying on symptoms-driven reporting for disease control ultimately shifts the pathogen's fitness landscape and can cause pandemics. We find such outcomes result when isolation and quarantine efforts are intense, but insufficient for suppression. We further show that when host removal depends on the prevalence of symptomatic infections, intense isolation efforts can select for the emergence and extensive spread of more asymptomatic strains. The severity of selection pressure on pathogens caused by these interventions likely lies somewhere between the extremes of no intervention and thoroughly successful eradication. Identifying the levels of public health responses that facilitate selection for asymptomatic pathogen strains is therefore critical for calibrating disease suppression and surveillance efforts and for sustainably managing emerging infectious diseases.

Notifiable Disease Databases for Client Management and Surveillance

2017 ◽  
pp. 386-416
Author(s):  
Ann M. Jolly ◽  
James J. Logan
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Health Professionals ◽  
Detrimental Effect ◽  
Notifiable Disease ◽  
Content Structure ◽  
Public Health Professionals ◽  
Database Structure ◽  
Client Management ◽  
Health Laws

The spread of certain infectious diseases, many of which are preventable, is widely acknowledged to have a detrimental effect on society. Reporting cases of these infections has been embodied in public health laws since the 1800s. Documenting client management and monitoring numbers of cases are the primary goals in collecting these data. A sample notifiable disease database is presented, including database structure, elements and rationales for collection, sources of data, and tabulated output. This chapter is a comprehensive guide to public health professionals on the content, structure, and processing of notifiable disease data for regional, provincial, and federal use.

scholarly journals Integrating Advanced Molecular Technologies into Public Health

2016 ◽  
Vol 55 (3) ◽  
pp. 703-714 ◽  
Author(s):  
Marta Gwinn ◽  
Duncan R. MacCannell ◽  
Rima F. Khabbaz
Keyword(s):  
Public Health ◽  
Information Technologies ◽  
Molecular Detection ◽  
New Technologies ◽  
Emerging Infectious Diseases ◽  
Routine Practice ◽  
Laboratory System ◽  
Control And Prevention ◽  
And Control ◽  
The U.S

ABSTRACT Advances in laboratory and information technologies are transforming public health microbiology. High-throughput genome sequencing and bioinformatics are enhancing our ability to investigate and control outbreaks, detect emerging infectious diseases, develop vaccines, and combat antimicrobial resistance, all with increased accuracy, timeliness, and efficiency. The Advanced Molecular Detection (AMD) initiative has allowed the Centers for Disease Control and Prevention (CDC) to provide leadership and coordination in integrating new technologies into routine practice throughout the U.S. public health laboratory system. Collaboration and partnerships are the key to navigating this transition and to leveraging the next generation of methods and tools most effectively for public health.

Improving Competencies for Public Health Emergency Legal Preparedness

2008 ◽  
Vol 36 (S1) ◽  
pp. 52-56 ◽  
Author(s):  
Kristine M. Gebbie ◽  
James G. Hodge ◽  
Benjamin Mason Meier ◽  
Drue H. Barrett ◽  
Priscilla Keith ◽  
...  
Keyword(s):  
Public Health ◽  
Health Professionals ◽  
Emergency Preparedness ◽  
Legal Framework ◽  
Public Health Emergency ◽  
Legal Response ◽  
Public Health Professionals ◽  
Core Elements ◽  
Control And Prevention ◽  
Public Health Emergency Preparedness

This paper is one of the four interrelated action agenda papers resulting from the National Summit on Public Health Legal Preparedness (Summit) convened in June 2007 by the Centers for Disease Control and Prevention, and multi-disciplinary partners. Each of the action agenda papers deals with one of the four core elements of legal preparedness: laws and legal authorities; competency in using those laws; and coordination of law-based public health actions; and information.This action agenda offers options for consideration by those responsible for or interested in ensuring that public health professionals, their legal counsels, and relevant partners understand the legal framework in which they operate and are competent in applying legal authorities to public health emergency preparedness.Competencies are critical to an individual's ability to make effective legal response to all-hazards public emergencies.

Notifiable Disease Databases for Client Management and Surveillance

2019 ◽  
pp. 740-770
Author(s):  
Ann M. Jolly ◽  
James J. Logan
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Health Professionals ◽  
Detrimental Effect ◽  
Notifiable Disease ◽  
Content Structure ◽  
Public Health Professionals ◽  
Database Structure ◽  
Client Management ◽  
Health Laws

The spread of certain infectious diseases, many of which are preventable, is widely acknowledged to have a detrimental effect on society. Reporting cases of these infections has been embodied in public health laws since the 1800s. Documenting client management and monitoring numbers of cases are the primary goals in collecting these data. A sample notifiable disease database is presented, including database structure, elements and rationales for collection, sources of data, and tabulated output. This chapter is a comprehensive guide to public health professionals on the content, structure, and processing of notifiable disease data for regional, provincial, and federal use.

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