Article
Green & Sustainable Science & Technology
Ebrahim A. A. Ghaleb, P. D. D. Dominic, Narinderjit Singh Sawaran Singh, Gehad Mohammed Ahmed Naji
Summary: This study aims to suggest and assess a conceptual framework that focuses on technological factors and can assist in determining the readiness of healthcare institutions in developing nations to utilize big data. The findings showed that technological factors affected the participants' perception of their readiness for big data, which ultimately influenced their interest in utilizing it.
Article
Medicine, General & Internal
Shan Qiao, George Khushf, Xiaoming Li, Jiajia Zhang, Bankole Olatosi
Summary: This study aims to develop, refine, and pilot test an ethical framework-guided instrument for assessing bias in Big Data health research using electronic health records (EHR) data sets. The ethical framework and EHR bias assessment guideline will be iteratively refined and integrated with preliminary results in a way that informs subsequent research. The developed EHR bias assessment guideline will be pilot tested in an existing HIV project funded by the National Institutes of Health (NIH).
Article
Medicine, General & Internal
Joao Victor Rocha, Ana Patricia Marques, Antonio Filipe Macedo, Marta Afonso-Silva, Pedro Laires, Ana Sofia Almeida, Julieta Fernandes, Marisa Pardal, Rui Santana
Summary: In recent years, the number of intravitreal anti-VEGF injections and the number of patients treated have been increasing in the Portuguese National Health System. Proximity to healthcare, more access to ophthalmologists, and hospitals with higher organizational levels are associated with higher rates of anti-VEGF treatment. Improving access is crucial to reduce regional disparities and ensure optimal treatment frequency.
Article
Veterinary Sciences
David Palma, Lilas Mercuriali, Jordi Figuerola, Tomas Montalvo, Ruben Bueno-Mari, Joan-Pau Millet, Pere Simon, Eva Masdeu, Cristina Rius
Summary: A total of 177 cases of leishmaniasis were reported in Barcelona between 1996 and 2019, with a higher incidence in the foreign-born population. The main types were cutaneous and visceral, with the highest incidence in 0-4 year olds and 25-64 year old males.
FRONTIERS IN VETERINARY SCIENCE
(2021)
Article
Computer Science, Information Systems
Arshia Rehman, Saeeda Naz, Imran Razzak
Summary: Clinical decisions are benefiting from evidence-based big data analytics, promising early detection, prediction, prevention and quality of life improvement. Various tools and techniques are used to process healthcare data, while sub-disciplines in healthcare are exploring the potential of big data. Challenges and notable applications in healthcare big data analytics are discussed, indicating a positive impact on healthcare.
MULTIMEDIA SYSTEMS
(2022)
Article
Public, Environmental & Occupational Health
Camella J. Rising, Robin A. McKinnon, Chung-Tung Jordan Lin, Olivia E. Jones-Dominic, Cary Chen Parker, Beverly Wolpert, Maya E. Maroto, April Oh
Summary: The study found that nearly half of U.S. adults notice menu calorie information, and most of those who notice it respond by ordering less to reduce calorie intake. Women, younger individuals, those who seek health information, individuals with a BMI >= 30, and those with higher education or higher income are more likely to notice menu calorie information. About 36% of women and 42% of men lack calorie knowledge.
PREVENTIVE MEDICINE
(2021)
Article
Health Care Sciences & Services
Cameron Sabet, Alessandro Hammond, Nim Ravid, Michelle Sun Tong, Fatima Cody Stanford
Summary: The United States Department of Health and Human Services (HHS) has committed $90 million to address health disparities through data-driven solutions. This funding will be allocated to 1400 community health centers, benefiting over 30 million Americans. Our article explores the reasons for the delayed adoption of big data in achieving healthcare equity, recent efforts that embrace big data tools, and strategies to harness its potential without burdening physicians. We also propose the establishment of a public database for anonymized patient data, introducing diverse metrics and equitable data collection strategies, to provide valuable insights for policymakers and health systems in better serving communities.
NPJ DIGITAL MEDICINE
(2023)
Article
Public, Environmental & Occupational Health
Noelle M. Cocoros, Chaim Kirby, Bob Zambarano, Aileen Ochoa, Karen Eberhardt, Catherine Rocchio, W. Sanouri Ursprung, Victoria M. Nielsen, Natalie Nguyen Durham, John T. Menchaca, Mark Josephson, Diana Erani, Ellen Hafer, Michelle Weiss, Brian Herrick, Myfanwy Callahan, Thomas Isaac, Michael Klompas
Summary: Automated analysis of EHR data is essential for public health surveillance, and RiskScape provides a user-friendly platform for data aggregation and visualization. It allows for near-real-time monitoring of chronic conditions and infectious diseases, with flexibility to incorporate new conditions like COVID-19. RiskScape plays a crucial role for the Massachusetts Department of Public Health in demonstrating need for funding and identifying inequitably burdened populations.
AMERICAN JOURNAL OF PUBLIC HEALTH
(2021)
Article
Health Care Sciences & Services
Emilie Hucteau, Pernelle Noize, Antoine Pariente, Catherine Helmer, Karine Peres
Summary: The study aimed to develop an algorithm for identifying basic Activities of Daily Living (ADL)-dependency in health insurance databases through individual assessments, health insurance data, and external validation. The final algorithm included various factors associated with ADL-dependency, resulting in estimated prevalence rates in both the study cohort and validation sample.
JOURNAL OF CLINICAL EPIDEMIOLOGY
(2021)
Article
Public, Environmental & Occupational Health
Morgan Miller Richey, Yvonne Golightly, Stephen William Marshall, Wendy Novicoff, Alexander Keil, Maryalice Nocera, David B. Richardson
Summary: This study conducted in North Carolina found that older workers have a higher risk of fatal occupational injury. The research results showed that the rate of fatal occupational injury among older workers did not significantly decrease before and after the economic recession.
OCCUPATIONAL AND ENVIRONMENTAL MEDICINE
(2023)
Article
Public, Environmental & Occupational Health
Bandna Dhaliwal, Sarah E. Neil-Sztramko, Nikita Boston-Fisher, David L. Buckeridge, Maureen Dobbins
Summary: The study aimed to understand the needs and preferences for an electronic evidence system among public health professionals in Canada. The results of the survey showed that the majority of respondents believed that an electronic evidence system would support their work, and they had high preferences for local contextual data, research and intervention evidence, and information about human and financial resources.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2021)
Review
Computer Science, Information Systems
Yunpeng Zhao, Xing He, Zheng Feng, Sarah Bost, Mattia Prosperi, Younghui Wu, Yi Guo, Jiang Bian
Summary: This study conducted a scoping review to identify the methods used to assess or address biases when using social media data for public health surveillance. The findings highlight the lack of consideration for biases in data collection and analysis methods, which can distort study results and lead to unintended consequences. The study suggests that strategies from other fields can be utilized to address biases in future public health surveillance systems that utilize social media data.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
(2022)
Article
Public, Environmental & Occupational Health
Andy Wai Kan Yeung, Emil D. Parvanov, Jaroslaw Olav Horbanczuk, Maria Kletecka-Pulker, Oliver Kimberger, Harald Willschke, Atanas G. Atanasov
Summary: This study aimed to investigate the online searching behavior for different types of masks during the COVID-19 pandemic across different countries. The results showed that the types of masks predominantly searched varied by country, with N95 masks in India, surgical masks in Russia, FFP2 masks in Spain, and cloth masks in France and the United Kingdom. The online searching behavior for masks was influenced by government response stringency but not COVID-19 transmission rate or new cases per million.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Social Sciences, Interdisciplinary
Thomas Walsh
Summary: To better understand the COVID-19 pandemic, researchers have used big mobility data collected from mobile devices by companies engaged in surveillance capitalism. The release of this data has been promoted as a way to fight COVID-19 and improve infectious disease models. However, there are significant imbalances of information, access, and power in these collaborations, leading to a lack of reciprocity between the data providers, researchers, and the community. This article argues that the current use of big mobility data in the pandemic lacks a community and person-centered approach.
BIG DATA & SOCIETY
(2023)
Article
Public, Environmental & Occupational Health
Arnaud Chiolero, Stefano Tancredi, John P. A. Ioannidis
Summary: In the age of infodemic, "slow data public health" emphasizes the importance of identifying specific information needs and disseminating information in a way that informs decision-making. It prioritizes high-quality data and relies on independent institutions with expertise in epidemiology and surveillance methods.
EUROPEAN JOURNAL OF EPIDEMIOLOGY
(2023)