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Last Posted: May 30, 2023
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Use of mobile phone data in HIV epidemic control.
Valdano Eugenio et al. The lancet. HIV 2022 12 (12) e820-e821

Mobile phone data can be used to identify circular travel patterns and to reveal hidden spatial structures in populations: to detect meta-communities. A metacommunity is a subset of communities that are more tightly linked to each other (due to individuals travelling among them) than to other communities; metacommunities are loosely linked (through travel) to other meta-communities. We propose that a metacommunity be considered as a single social-sexual community (ie, a group of individuals who have the majority of their social and sexual contacts within the group), and that a linked network of social-sexual communities can be used to design geographical targeting strategies for controlling HIV.

HIV Prevention: Digital Health Interventions to Improve Adherence to HIV Pre-Exposure Prophylaxis
The Community Guide, October 2022

The Community Preventive Services Task Force (CPSTF) recommends digital health interventions to increase adherence to HIV pre-exposure prophylaxis (PrEP). Systematic review evidence shows interventions improve both daily-use pill taking and retention in PrEP care. This improves health for population groups who are not infected with HIV and engage in behaviors that may increase their chances of getting HIV.

Clinical characteristics and comparison of longitudinal qPCR results from different specimen types in a cohort of ambulatory and hospitalized patients infected with monkeypox virus.
Nörz Dominik et al. Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology 2022 9 105254

Longitudinal viral-DNA load measurements in a well characterized cohort of outpatients and hospitalized patients with monkeypox virus infection. Cutaneous lesion swab samples were consistently positive throughout the observation period, while oropharyngeal swabs and blood returned negative repeatedly for some patients. Patients with a know HIV-Infection under treatment exhibited increased numbers of pustulae and higher viral-DNA loads in blood.

The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review
W Wallace et al, NPJ Digital Medicine, August 18, 2022

Researchers evaluated the accuracy of symptom checkers using a variety of medical conditions, including ophthalmological conditions, inflammatory arthritides and HIV. The diagnostic accuracy of the primary diagnosis was low across included studies (range: 19–37.9%) and varied between individual symptom checkers, despite consistent symptom data input. Triage accuracy (range: 48.8–90.1%) was typically higher than diagnostic accuracy. Overall, the diagnostic and triage accuracy of symptom checkers are variable and of low accuracy.

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Disclaimer: Articles listed in the Public Health Genomics and Precision Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.

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