Publications by authors named "J Benzler"
Article Synopsis
- The German healthcare system faced resource allocation challenges during the SARS-CoV-2 pandemic, leading to the development of an open-source personalized recommendation system (PRS) called CovApp.
- CovApp utilized a questionnaire to assess infection risk and provided tailored recommendations like testing or self-isolation, while seamlessly integrating with electronic health records via QR codes.
- The system significantly increased patient throughput by 21.7% per hour and doubled the likelihood of high-risk patients receiving appropriate testing, showcasing its effectiveness as a digital tool to enhance public health responses.
Digital proximity tracing (DPT) for Sars-CoV-2 pandemic mitigation is a complex intervention with the primary goal to notify app users about possible risk exposures to infected persons. DPT not only relies on the technical functioning of the proximity tracing application and its backend server, but also on seamless integration of health system processes such as laboratory testing, communication of results (and their validation), generation of notification codes, manual contact tracing, and management of app-notified users. Policymakers and DPT operators need to know whether their system works as expected in terms of speed or yield (performance) and whether DPT is making an effective contribution to pandemic mitigation (also in comparison to and beyond established mitigation measures, particularly manual contact tracing).
View Article and Find Full Text PDFBackground: To counter the increasing global risk of Yellow fever (YF), the World Health Organisation initiated the Eliminate Yellow fever Epidemics (EYE) strategy. Estimating YF burden, as well as vaccine impact, while accounting for the features of urban YF transmission such as indirect benefits of vaccination, is key to informing this strategy.
Methods And Findings: We developed two model variants to estimate YF burden in sub-Saharan Africa, assuming all infections stem from either the sylvatic or the urban cycle of the disease.