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 ◽  
...  

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.

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Janelle Kibler ◽  
Scott McNabb ◽  
James Lavery ◽  
Ziad Memish ◽  
Affan Shaikh ◽  
...  

ObjectiveThe goal of this editorial is to shed light on the lack of transparency that exists in the sharing of Public Health data and to reverse this presumption in favour of open public health information properly vetted and openly accessible. Open public health information is a critical step to revitalize public health practice and is a human right.IntroductionPublic health practice that prevents, detects, and responds to communicable and noncommunicable disease threats is hindered by poor access to public health data and information. This includes timely sharing of case-based information, respecting patent and publication rights, and the ethical sharing of specimens. Disagreements about information shared and under what circumstances plus who has right to the data, clinical specimens, and their derivative products impede research and countermeasures. Delayed or inaction by public health authorities undermines trust and exacerbates the crisis. Evident in 2014 by the delayed Public Health Emergency of International Concern declaration of the Ebola virus outbreak in West Africa by the World Health Organization, the governing presumption is that access to public health information should be restricted, constrained, or even hoarded; this is a failed approach. This lack of transparency prevents information availability when and where it is needed and obstructs public health efforts to efficiently and ethically prevent, detect, and respond to emerging threats. A better way forward is to reverse this presumption in favour of open public health information properly vetted and openly accessible. Open public health information is a critical step to revitalize public health practice and is a human right.While there is limited global consensus among scientists and public health practitioners on best practices to guide national health authorities, researchers, NGOs, and industry as they navigate the ethical, political, technical, and economic challenges associated with the sharing of essential public health information (e.g., pathogen isolates, clinical specimens, and patient-related data), grounding this discussion on the guiding principles of open public health information can help navigate the complex privacy, security, communication, and access needs, and ensure that collaboration and sharing occur in a manner that is ethically and socially just, efficient, and equitable. Built on existing governance frameworks such as the International Health Regulations (IHRs) and the Pandemic Influenza Preparedness Framework (PIP), open public health can transform public health surveillance, allowing for the rapid sharing of data and products during outbreaks for mutual benefit and enhanced global health security.MethodsThis abstract represents a larger editorial style manuscript, thus no methods were developed in the abstract.ResultsThis editorial style manuscript aims to reverse the presumption that public health data is damaging to one in favour of open public health information properly vetted and openly accessible.ConclusionsSimilar to other open movements (i.e., open data, open government, open development, and open science) that seek to address the world’s greatest challenges through transparency, collaboration, reuse of and free access to ideas, open public health offers an ideal solution to overcome the challenges in the 21st century.


2011 ◽  
Vol 16 (1, 2 & 3) ◽  
pp. 2007
Author(s):  
Sina A. Muscati

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.


2020 ◽  
pp. jech-2018-211654 ◽  
Author(s):  
Arnaud Chiolero ◽  
David Buckeridge

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.


2021 ◽  
Author(s):  
Zahra Shakeri Hossein Abad ◽  
Gregory P. Butler ◽  
Wendy Thompson ◽  
Joon Lee

ABSTRACTAdvances in automated data processing, together with the unprecedented growth in user-generated social media (SM) content, have made public health surveillance (PHS) one of the long-lasting SM applications. However, the existing PHS systems feeding on SM data have not been widely deployed in national surveillance systems, which appears to stem from the lack of practitioners’ trust in SM data. More robust datasets over which machine learning (ML) models can be trained/tested reliably is a significant step toward overcoming this hurdle. The health implications of physical activity, sedentary behaviour, and sleep (PASS) are widely studied through traditional data sources, which are often out-of-date, costly to collect, and thus limited in quantity and coverage. We present LPHEADA, a multicountry and fully Labelled digital Public HEAlth DAtaset of tweets originated in Australia/Canada/United Kingdom/United States between November 2018-June 2020. LPHEADA contains 366,405 labels for 122,135 PASS-related tweets and provides details about the place/time/demographics associated with each tweet. LPHEADA is publicly available and can be utilized to develop (un)supervised ML models for digital PASS surveillance.


2021 ◽  
pp. 259-274
Author(s):  
Nguyen Tran Hien ◽  
James W. Buehler ◽  
Ann Marie Kimball

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.


Author(s):  
Richard Hopkins ◽  
Aaron Kite-Powell

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.


2021 ◽  
Vol 11 (1) ◽  
pp. 175-186
Author(s):  
Cornelia Geukes ◽  
Horst M. Müller

Measuring health may refer to the measurement of general health status through measures of physical function, pain, social health, psychological aspects, and specific disease. Almost no evidence is available on the possible interaction of physiological measures and correlating emotional–affective states that are triggered by dealing with individual health-relevant issues and their specific processing modes. Public health research has long been concerned with the processing of health-related information. However, it is not yet clear which factors influence access and the handling of health-related information in detail. One way to close this research gap could be adopting methods from neurocognitive experiments to add psychophysiological data to existing approaches in health-related research. In this article, we present some of these methods and give a narrative overview and description of their usefulness for enlarged research in public health.


2018 ◽  
Vol 109 (3) ◽  
pp. 419-426 ◽  
Author(s):  
Yasmin Khan ◽  
Garvin J. Leung ◽  
Paul Belanger ◽  
Effie Gournis ◽  
David L. Buckeridge ◽  
...  

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