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Using mHealth Technologies for Case Finding in Tuberculosis and Other Infectious Diseases in Africa: Systematic Review

Using mHealth Technologies for Case Finding in Tuberculosis and Other Infectious Diseases in Africa: Systematic Review

The studies covered a range of diseases, including Ebola, tuberculosis, COVID-19, HIV, and multiple diseases in humans and animals. In total, 74% (14/19) of the included studies were about technologies used for contact tracing of Ebola and tuberculosis. Ebola had the most studies with 42% (8/19), whereas tuberculosis had 32% (6/19). One other technology was used for both tuberculosis and COVID-19.

Don Lawrence Mudzengi, Herbert Chomutare, Jeniffer Nagudi, Thobani Ntshiqa, J Lucian Davis, Salome Charalambous, Kavindhran Velen

JMIR Mhealth Uhealth 2024;12:e53211

Reddit and Google Activity Related to Non-COVID Epidemic Diseases Surged at Start of COVID-19 Pandemic: Retrospective Study

Reddit and Google Activity Related to Non-COVID Epidemic Diseases Surged at Start of COVID-19 Pandemic: Retrospective Study

This study retrospectively uses large public data sets, such as Google Trends and Reddit, to estimate the level of public interest in 6 non-COVID epidemic diseases (chikungunya, Ebola, H1 N1 influenza, Middle Eastern respiratory syndrome [MERS], severe acute respiratory syndrome [SARS], and Zika virus) from 2018 through the end of 2020.

Jack A Cummins, Adam D Lipworth

JMIR Form Res 2023;7:e44603

Use of Iris Scanning for Biometric Recognition of Healthy Adults Participating in an Ebola Vaccine Trial in the Democratic Republic of the Congo: Mixed Methods Study

Use of Iris Scanning for Biometric Recognition of Healthy Adults Participating in an Ebola Vaccine Trial in the Democratic Republic of the Congo: Mixed Methods Study

As part of an ongoing Ebola vaccine clinical trial (EBOVAC3, study protocol number VAC52150 EBL2007, clinicaltrials.gov identifier NCT04186000) [13], we assessed acceptability, accuracy, and feasibility of iris scan technology as a biometric identification method within a population of health care provider participants in a remote setting.

Trésor Zola Matuvanga, Ginger Johnson, Ynke Larivière, Emmanuel Esanga Longomo, Junior Matangila, Vivi Maketa, Bruno Lapika, Patrick Mitashi, Paula Mc Kenna, Jessie De Bie, Jean-Pierre Van Geertruyden, Pierre Van Damme, Hypolite Muhindo Mavoko

J Med Internet Res 2021;23(8):e28573

Check and Report Ebola (CARE) Hotline: The User Perspective of an Innovative Tool for Postarrival Monitoring of Ebola in the United States

Check and Report Ebola (CARE) Hotline: The User Perspective of an Innovative Tool for Postarrival Monitoring of Ebola in the United States

The 2014-2016 Ebola epidemic in West Africa was an unprecedented public health emergency afflicting more than 28,000 people and claiming more than 11,000 lives [1]. The Centers for Disease Control and Prevention (CDC) extended international efforts to control and prevent disease spread in West Africa and implemented domestic measures to prevent the introduction and transmission of Ebola in the United States [2,3].

Ilana Olin Olin McCarthy, Abbey E Wojno, Heather A Joseph, Scott Teesdale

JMIR Public Health Surveill 2017;3(4):e89