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Factors Associated With the Use of Digital Technology Among Youth in Zimbabwe: Findings From a Cross-Sectional Population-Based Survey

Factors Associated With the Use of Digital Technology Among Youth in Zimbabwe: Findings From a Cross-Sectional Population-Based Survey

This is particularly pertinent for Zimbabwe, where data on technology use are limited. The 2015 Zimbabwe Demographic and Health Survey reported that 87% of households owned a mobile phone [14]. However, this does not necessarily mean that young people within these households have access.

Kevin Martin, Rachel Wei Chun Peh, Mandikudza Tembo, Constancia Vimbayi Mavodza, Aoife M Doyle, Chido Dziva Chikwari, Ethel Dauya, Tsitsi Bandason, Steven Azizi, Victoria Simms, Rashida A Ferrand

J Med Internet Res 2024;26:e52670

Effects of a Community Health Worker–Led Health Literacy Intervention on Lifestyle Modification Among Patients With Hypertension and Diabetes in the City of Harare, Zimbabwe: Protocol for a Cluster Randomized Controlled Trial

Effects of a Community Health Worker–Led Health Literacy Intervention on Lifestyle Modification Among Patients With Hypertension and Diabetes in the City of Harare, Zimbabwe: Protocol for a Cluster Randomized Controlled Trial

In Zimbabwe, CHWs primarily provide community-based care, but for many years, their efforts have been focused on home-based care for people living with HIV and tuberculosis, with limited focus on addressing noncommunicable diseases (NCDs) [21]. This shows the need to continuously come up with effective CHW-led interventions for the management of common NCDs.

Nyaradzai Arster Katena, Shepherd Shamu, Golden Tafadzwa Fana, Simbarashe Rusakaniko

JMIR Res Protoc 2023;12:e47512

A Digital Mental Health Intervention (Inuka) for Common Mental Health Disorders in Zimbabwean Adults in Response to the COVID-19 Pandemic: Feasibility and Acceptability Pilot Study

A Digital Mental Health Intervention (Inuka) for Common Mental Health Disorders in Zimbabwean Adults in Response to the COVID-19 Pandemic: Feasibility and Acceptability Pilot Study

Zimbabwe has recently seen an exponential increase in digital penetration. The general population has access to digital devices (eg, smartphones, tablet devices, and personal laptops) and the internet, and up to 90% of Zimbabweans own a smartphone [7]. High digital penetration is an essential predictor of the utility of digital mental health services [9-11,13,17].

Jermaine Dambi, Clara Norman, Asmae Doukani, Stephan Potgieter, Jean Turner, Rosemary Musesengwa, Ruth Verhey, Dixon Chibanda

JMIR Ment Health 2022;9(10):e37968

Strategies to Identify and Reach Young Women Who Sell Sex With HIV Prevention and Care Services: Lessons Learnt From the Implementation of DREAMS Services in Two Cities in Zimbabwe

Strategies to Identify and Reach Young Women Who Sell Sex With HIV Prevention and Care Services: Lessons Learnt From the Implementation of DREAMS Services in Two Cities in Zimbabwe

In many countries, including Zimbabwe, selling sex is criminalized, making young women who sell sex particularly hidden and hard to reach with HIV prevention and care services. Strategies to identify, reach, and engage young women who sell sex are critical. The approaches most commonly used are venue-based approaches, including community-based outreach [4], and network-based approaches, including peer outreach and enhanced peer outreach [5].

Sungai T Chabata, Rumbidzo Makandwa, Bernadette Hensen, Phillis Mushati, Tarisai Chiyaka, Sithembile Musemburi, Joanna Busza, Sian Floyd, Isolde Birdthistle, James R Hargreaves, Frances M Cowan

JMIR Public Health Surveill 2022;8(7):e32286

Mobile Phone Access and Implications for Digital Health Interventions Among Adolescents and Young Adults in Zimbabwe: Cross-Sectional Survey

Mobile Phone Access and Implications for Digital Health Interventions Among Adolescents and Young Adults in Zimbabwe: Cross-Sectional Survey

The aim of this study was to collect data on YP’s use of information and communication technology to inform the feasibility of implementing technology-based adolescent-health interventions in Zimbabwe. A cross-sectional population-based survey was conducted from October to December 2018 in 3 urban communities (A, B, and C) in Harare province and 2 peri-urban communities (D and E) in Mashonaland East province.

Aoife M Doyle, Tsitsi Bandason, Ethel Dauya, Grace McHugh, Chris Grundy, Stefanie Dringus, Chido Dziva Chikwari, Rashida A Ferrand

JMIR Mhealth Uhealth 2021;9(1):e21244

A SARS-CoV-2 Surveillance System in Sub-Saharan Africa: Modeling Study for Persistence and Transmission to Inform Policy

A SARS-CoV-2 Surveillance System in Sub-Saharan Africa: Modeling Study for Persistence and Transmission to Inform Policy

Earlier in September, Zimbabwe recorded no COVID-19–related deaths over an entire week [61]; moreover, many residents have stopped wearing masks, and the government eased its restrictions. As Nigeria similarly began to see a decline in cases, they opened their borders for international travel on September 5, 2020 [62].

Lori Ann Ann Post, Salem T Argaw, Cameron Jones, Charles B Moss, Danielle Resnick, Lauren Nadya Singh, Robert Leo Murphy, Chad J Achenbach, Janine White, Tariq Ziad Issa, Michael J Boctor, James Francis Oehmke

J Med Internet Res 2020;22(11):e24248

Assessing Bias in Population Size Estimates Among Hidden Populations When Using the Service Multiplier Method Combined With Respondent-Driven Sampling Surveys: Survey Study

Assessing Bias in Population Size Estimates Among Hidden Populations When Using the Service Multiplier Method Combined With Respondent-Driven Sampling Surveys: Survey Study

In this paper, we build on existing guidance for implementing the SMM with RDS data [11] to critically appraise the assumptions and likely biases arising from using the SMM and RDS surveys to estimate the population sizes of FSWs at 9 sites in Zimbabwe, providing an illustrative example for assessing bias in future applications of the method.

Sungai T Chabata, Elizabeth Fearon, Emily L Webb, Helen A Weiss, James R Hargreaves, Frances M Cowan

JMIR Public Health Surveill 2020;6(2):e15044