The implementation of digital contact tracing applications around the world to help reduce the spread of the COVID-19 pandemic represents one of the most ambitious uses of massive-scale citizen data ever attempted. There is major divergence among nations, however, between a "privacy-first" approach which protects citizens' data at the cost of extremely limited access for public health authorities and researchers, and a "data-first" approach which stores large amounts of data which, while of immeasurable value to epidemiologists and other researchers, may significantly intrude upon citizens' privacy. The lack of a consensus on privacy protection in the contact tracing process creates risks of non-compliance or deliberate obfuscation from citizens who fear revealing private aspects of their lives - a factor greatly exacerbated by recent major scandals over online privacy and the illicit use of citizens' digital information, which have heightened public consciousness of these issues and created significant new challenges for any collection of large-scale public data. While digital contact tracing for COVID-19 remains in its infancy, the lack of consensus around best practices for its implementation and for reassuring citizens of the protection of their privacy may already have impeded its capacity to contribute to the pandemic response.
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http://dx.doi.org/10.1016/j.ijinfomgt.2020.102181 | DOI Listing |
Epidemiol Infect
January 2025
Department of Epidemiology - Laboratório de Inferência Causal em Epidemiologia (LINCE-USP), School of Public Health, University of São Paulo, São Paulo, SP, Brazil.
The strategy of tuberculosis (TB) contact investigation is essential for enhancing disease detection. We conducted a cross-sectional study to evaluate the yield of contact investigation for new TB cases, estimate the prevalence of TB, and identify characteristics of index cases associated with infection among contacts of new cases notified between 2010 and 2020 in São Paulo, Brazil. Out of 186466 index TB cases, 131055 (70.
View Article and Find Full Text PDFFront Neurosci
January 2025
Michael Sars Centre, University of Bergen, Bergen, Norway.
Comparative studies on the development of nervous systems have a significant impact on understanding animal nervous system evolution. Nevertheless, an important question is to what degree neuronal structures, which play an important role in early stages, become part of the adult nervous system or are relevant for its formation. This is likely in many direct developers, but it is not the case in forms with catastrophic metamorphosis.
View Article and Find Full Text PDFBackground: In high-burden settings, most tuberculosis (TB) transmission likely occurs outside the home. Our qualitative study in Zambia explored the acceptability and preferences for designing TB active case finding (ACF) strategies to reach non-household contacts of people with TB.
Methods: We conducted 56 in-depth interviews with persons with TB ( = 12), TB healthcare workers (HCWs) ( = 10), TB lay HCWs ( = 10), and leaders/owners ( = 12) and attendees ( = 12) of community venue types identified as potential TB transmission locations.
BMC Health Serv Res
January 2025
Sydani Initiative for International Development, FCT, Abuja, Nigeria.
Background: Evidence from literature has established that tracing lost to follow-up clients is an effective strategy for complementing other mechanisms for infectious disease control like human immunodeficiency virus (HIV), tuberculosis, and other diseases such as Ebola. As a long-standing successful public health method of optimizing acceptance and/or adherence to infectious disease treatment tracing lost to follow-up clients is usually carried out by manually investigating individuals who absconded or are absent from treatments designed to manage and/or promote their health status. This study seeks to explore the role of mobile teams in tracing clients lost to follow-up for immunization.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Department of Computer Science, University of Saskatchewan, Saskatoon, SK S7N 5C9, Canada.
We engaged with health sector stakeholders and public health professionals within the health system through a participatory modeling approach to support policy-making in the early COVID-19 pandemic in Saskatchewan, Canada. The objective was to use simulation modeling to guide the implementation of public health measures and short-term hospital capacity planning to mitigate the disease burden from March to June 2020. We developed a hybrid simulation model combining System Dynamics (SD), discrete-event simulation (DES), and agent-based modeling (ABM).
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