scholarly journals POGG as a Basis for Federal Jurisdiction over Public Health Surveillance

2011 ◽  
Vol 16 (1, 2 & 3) ◽  
pp. 2007
Author(s):  
Sina A. Muscati
Keyword(s):  
Public Health ◽  
Data Mining ◽  
Public Health Surveillance ◽  
Emerging Diseases ◽  
Health Surveillance ◽  
Health Concerns ◽  
Avian Flu ◽  
Health Related ◽  
Federal Jurisdiction

In the aftermath of Severe Acute Respirato- ry Syndrome (SARS) and with concern growing about avian flu, mad cow, and other emerging diseases, public health surveillance has become a matter of importance to Canadians. Such sur- veillance is a key component of the fight against these diseases; it involves the systematic collec- tion, analysis, interpretation, and dissemination of data about health-related events for use in public health responses. Indeed, new technolo- gies enable “data mining” at an unprecedented scale, both in the amount and type of informa- tion that can be collected, and in the extent to which that information can be used to identify public health concerns. All this has made the concept of “anonymous” information less and less realistic.

Using the MCRISP Network for Surveillance of Pediatric Exanthema in Child Care Centers

2020 ◽  
pp. 1-6
Author(s):  
Aditi Mahajan ◽  
Peter DeJonge ◽  
Sarang Modi ◽  
Khalil Chedid ◽  
Michael Hayashi ◽  
...  
Keyword(s):  
Public Health ◽  
Child Care ◽  
Public Health Surveillance ◽  
Emerging Diseases ◽  
Health Surveillance ◽  
Descriptive Statistics ◽  
Surveillance Program ◽  
Child Care Centers ◽  
Online Program ◽  
Hand Foot Mouth Disease

ABSTRACT Background: Systematic monitoring of exanthema is largely absent from public health surveillance despite emerging diseases and threats of bioterrorism. Michigan Child Care Related Infections Surveillance Program (MCRISP) is the first online program in child care centers to report pediatric exanthema. Methods: MCRISP aggregated daily counts of children sick, absent, or reported ill by parents. We extracted all MCRISP exanthema cases from October 1, 2014 through June 30, 2019. Cases were assessed with descriptive statistics and counts were used to construct epidemic curves. Results: 360 exanthema cases were reported from 12,233 illnesses over 4.5 seasons. Children ages 13-35 months had the highest rash occurrence (45%, n = 162), followed by 36-59 months (41.7%, n = 150), 0-12 months (12.5%, n = 45), and kindergarten (0.8%, n = 3). Centers reported rashes of hand-foot-mouth disease (50%, n = 180), nonspecific rash without fever (15.3%, n = 55), hives (8.1%, n = 29), fever with nonspecific rash (6.9%, n = 25), roseola (3.3%, n = 12), scabies (2.5%, n = 9), scarlet fever (2.5%, n = 9), impetigo (2.2%, n = 8), abscess (1.95, n = 7), viral exanthema without fever (1.7%, n = 6), varicella (1.7%, n = 6), pinworms (0.8%, n = 3), molluscum (0.6%, n = 2), cellulitis (0.6%, n = 2), ringworm (0.6%, n = 2), and shingles (0.2%, n = 1). Conclusion: Child care surveillance networks have the potential to act as sentinel public health tools for surveillance of pediatric exanthema outbreaks.

scholarly journals Using Twitter for Public Health Surveillance from Monitoring and Prediction to Public Response

Data ◽  
2018 ◽  
Vol 4 (1) ◽  
pp. 6 ◽  
Author(s):  
Sophie Jordan ◽  
Sierra Hovet ◽  
Isaac Fung ◽  
Hai Liang ◽  
King-Wa Fu ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Public Health Research ◽  
Global Scale ◽  
Health Surveillance ◽  
Short Text ◽  
Related Information ◽  
Twitter Data ◽  
Public Health Information ◽  
Health Related

Twitter is a social media platform where over 500 million people worldwide publish their ideas and discuss diverse topics, including their health conditions and public health events. Twitter has proved to be an important source of health-related information on the Internet, given the amount of information that is shared by both citizens and official sources. Twitter provides researchers with a real-time source of public health information on a global scale, and can be very important in public health research. Classifying Twitter data into topics or categories is helpful to better understand how users react and communicate. A literature review is presented on the use of mining Twitter data or similar short-text datasets for public health applications. Each method is analyzed for ways to use Twitter data in public health surveillance. Papers in which Twitter content was classified according to users or tweets for better surveillance of public health were selected for review. Only papers published between 2010–2017 were considered. The reviewed publications are distinguished by the methods that were used to categorize the Twitter content in different ways. While comparing studies is difficult due to the number of different methods that have been used for applying Twitter and interpreting data, this state-of-the-art review demonstrates the vast potential of utilizing Twitter for public health surveillance purposes.

scholarly journals Glossary for public health surveillance in the age of data science

2020 ◽  
pp. jech-2018-211654 ◽  
Author(s):  
Arnaud Chiolero ◽  
David Buckeridge
Keyword(s):  
Public Health ◽  
Data Science ◽  
Public Health Surveillance ◽  
Rapid Development ◽  
Healthcare Providers ◽  
Health Surveillance ◽  
Related Data ◽  
Health Related ◽  
The Right ◽  
Key Terms

Public health surveillance is the ongoing systematic collection, analysis and interpretation of data, closely integrated with the timely dissemination of the resulting information to those responsible for preventing and controlling disease and injury. With the rapid development of data science, encompassing big data and artificial intelligence, and with the exponential growth of accessible and highly heterogeneous health-related data, from healthcare providers to user-generated online content, the field of surveillance and health monitoring is changing rapidly. It is, therefore, the right time for a short glossary of key terms in public health surveillance, with an emphasis on new data-science developments in the field.

Public health surveillance

2021 ◽  
pp. 259-274
Author(s):  
Nguyen Tran Hien ◽  
James W. Buehler ◽  
Ann Marie Kimball
Keyword(s):  
Public Health ◽  
Information Needs ◽  
Public Health Surveillance ◽  
Public Health Practice ◽  
Health Surveillance ◽  
Health Trends ◽  
Poor Countries ◽  
Disease Occurrence ◽  
Health Related ◽  
Use Of The Internet

Public health surveillance provides the epidemiologic foundation for modern public health practice. The ongoing monitoring of disease or health trends within populations informs what public health actions are taken and reflects whether those actions are effective. Surveillance may involve monitoring of diseases and other health-related conditions as well as their antecedents, characteristics, and consequences. Surveillance can guide the local response to individual cases of disease or more broadly inform public health programmes and policies. A key function of surveillance is to identify circumstances that merit further public health scrutiny, such as groups or locations that are disproportionately affected or changes in disease occurrence or severity. General principles that underlie the practice of surveillance are essentially the same for all countries, regardless of economic development. However, in many resource-poor countries, challenges to meeting needs for population health information are heightened and include potential tensions between groups with differing interests. Public health surveillance is conducted in many ways, depending on the nature of the health event under surveillance, the nature of healthcare and information infrastructures, the population involved, resources available, and information needs. The widespread and expanding use of the internet, electronic media, communication technologies, and mobile computing have enabled innovations in public health surveillance that reach far beyond traditional methods. Although surveillance methods were originally developed as part of efforts to control infectious diseases, basic concepts of surveillance have been applied to all areas of public health.

Monitoring disease and risk factors: surveillance

2020 ◽  
pp. 154-163
Author(s):  
Richard Hopkins ◽  
Aaron Kite-Powell
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Surveillance Systems ◽  
Public Health Informatics ◽  
Public Health Action ◽  
Health Related ◽  
Health Action ◽  
Public Health Surveillance System

Public health surveillance is ‘the ongoing, systematic collection, analysis, interpretation, and dissemination of data about a health-related event for use in public health action to reduce morbidity and mortality and to improve health. Data disseminated by a public health surveillance system can be used for immediate public health action, program planning and evaluation, and formulating research hypotheses. This chapter discusses purposes for surveillance, surveillance opportunities, surveillance system design, public health informatics, evaluating a surveillance system, and general principles for effective surveillance systems.

scholarly journals Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay

2020 ◽  
Author(s):  
Joshua Batson ◽  
Gytis Dudas ◽  
Eric Haas-Stapleton ◽  
Amy L. Kistler ◽  
Lucy M. Li ◽  
...  
Keyword(s):  
Public Health ◽  
Blood Meal ◽  
High Frequency ◽  
Public Health Surveillance ◽  
Emerging Diseases ◽  
Health Surveillance ◽  
Biological Information ◽  
Emerging Pathogens ◽  
Animal Pathogens ◽  
Major Infectious Disease

AbstractMosquitoes are major infectious disease-carrying vectors. Assessment of current and future risks associated with the mosquito population requires knowledge of the full repertoire of pathogens they carry, including novel viruses, as well as their blood meal sources. Unbiased metatranscriptomic sequencing of individual mosquitoes offers a straightforward, rapid and quantitative means to acquire this information. Here, we profile 148 diverse wild-caught mosquitoes collected in California and detect sequences from eukaryotes, prokaryotes, 24 known and 46 novel viral species. Importantly, sequencing individuals greatly enhanced the value of the biological information obtained. It allowed us to a) speciate host mosquito, b) compute the prevalence of each microbe and recognize a high frequency of viral co-infections, c) associate animal pathogens with specific blood meal sources, and d) apply simple co-occurrence methods to recover previously undetected components of highly prevalent segmented viruses. In the context of emerging diseases, where knowledge about vectors, pathogens, and reservoirs is lacking, the approaches described here can provide actionable information for public health surveillance and intervention decisions.

scholarly journals Single mosquito metatranscriptomics identifies vectors, emerging pathogens and reservoirs in one assay

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Joshua Batson ◽  
Gytis Dudas ◽  
Eric Haas-Stapleton ◽  
Amy L Kistler ◽  
Lucy M Li ◽  
...  
Keyword(s):  
Public Health ◽  
Blood Meal ◽  
High Frequency ◽  
Public Health Surveillance ◽  
Emerging Diseases ◽  
Health Surveillance ◽  
Biological Information ◽  
Emerging Pathogens ◽  
Animal Pathogens ◽  
Major Infectious Disease

Mosquitoes are major infectious disease-carrying vectors. Assessment of current and future risks associated with the mosquito population requires knowledge of the full repertoire of pathogens they carry, including novel viruses, as well as their blood meal sources. Unbiased metatranscriptomic sequencing of individual mosquitoes offers a straightforward, rapid and quantitative means to acquire this information. Here, we profile 148 diverse wild-caught mosquitoes collected in California and detect sequences from eukaryotes, prokaryotes, 24 known and 46 novel viral species. Importantly, sequencing individuals greatly enhanced the value of the biological information obtained. It allowed us to a) speciate host mosquito, b) compute the prevalence of each microbe and recognize a high frequency of viral co-infections, c) associate animal pathogens with specific blood meal sources, and d) apply simple co-occurrence methods to recover previously undetected components of highly prevalent segmented viruses. In the context of emerging diseases, where knowledge about vectors, pathogens, and reservoirs is lacking, the approaches described here can provide actionable information for public health surveillance and intervention decisions.

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