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Using the ATra Black Box to Improve Public Health Data Linkages and Analytics in the DC Cohort Longitudinal HIV Study: Viewpoint on the Process and Findings

Using the ATra Black Box to Improve Public Health Data Linkages and Analytics in the DC Cohort Longitudinal HIV Study: Viewpoint on the Process and Findings

At the study’s inception, a linkage to the DC Department of Health (DC Health) HIV surveillance data was proposed, with the goals of increasing the completeness and accuracy of both databases and identifying people enrolled at multiple DC Cohort sites [3]. Linked data include overlapping clinic and surveillance data, such as demographics, mode of HIV transmission, dates of diagnosis for HIV and AIDS, and HIV-related laboratory results, including CD4 T-lymphocyte (CD4) counts and HIV viral loads.

Anne Giuranna Rhodes, Maria Jaurretche, Lisa Mele, Daniel Jarris, Paige Kulie, Shannon Barth, Miranda Smith, J Smart, Amanda D Castel, DC Cohort Executive Committee

J Med Internet Res 2025;27:e77119

Experiences and Perceptions About Death Reporting and Notification Among Rural Communities on the Islands of Lake Victoria, Uganda: Qualitative Study

Experiences and Perceptions About Death Reporting and Notification Among Rural Communities on the Islands of Lake Victoria, Uganda: Qualitative Study

Although some countries have made progress in improving maternal and perinatal death surveillance [5,6], challenges remain regarding the establishment of mortality surveillance systems that comprehensively record all deaths that occur outside of health facility settings. The 2016 Uganda Demographic Health Survey noted that only 24.2% of all deaths that occur in the country are reported, notified, and registered [7].

Steven Ndugwa Kabwama, Douglas Bulafu, Rawlance Ndejjo, Rose Nampeera, Christine Kihembo, Chukwuma David Umeokonkwo, Simon Antara, Sheba Nakacubo Gitta, Caroline Kyozira, Allan Muruta, Jean-Edgard Nguessan, Rhoda K Wanyenze

JMIR Public Health Surveill 2025;11:e77135

A Nurse-Led Telemonitoring Approach in Diabetes During the COVID-19 Pandemic: Prospective Cohort Study

A Nurse-Led Telemonitoring Approach in Diabetes During the COVID-19 Pandemic: Prospective Cohort Study

They were invited to participate in an NLTA as a health surveillance strategy with the specific aim of monitoring well-being over 12 months. The TSG intervention comprised 3-monthly telehealth contacts for 6 months, then again at 12 months post-enrollment. Contact was made via phone or video with a diabetes nurse educator.

Stephanie A Noonan, Amanda L Gauld, Maria I Constantino, Margaret J McGill, Timothy L Middleton, Ian D Caterson, Luigi N Fontana, Stephen M Twigg, Ted Wu, Raaj Kishore Biswas, Jencia Wong

JMIR Diabetes 2025;10:e68214

Shopping Data for Population Health Surveillance: Opportunities, Challenges, and Future Directions

Shopping Data for Population Health Surveillance: Opportunities, Challenges, and Future Directions

As organized retail and mobile-linked loyalty schemes grow in low- and middle-income countries, analogous transaction data may become a scalable option for health surveillance. This paper explores the potential of supermarket loyalty card data as a viable data source for epidemiological surveillance, providing granular, high-frequency insights into population health behaviors.

Alisha Suhag, Romana Burgess, Anya Skatova

J Med Internet Res 2025;27:e75720

School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites

School-Based Online Surveillance of Youth: Systematic Search and Content Analysis of Surveillance Company Websites

There are no up-to-date, publicly available data on the prevalence of school-based online surveillance in the United States, but school purchases of online surveillance services have increased annually since 2013 [1], and 9 of 10 secondary school teachers surveyed report that their schools use student online surveillance technology [9].

Alison O'Daffer, Wendy Liu, Cinnamon S Bloss

J Med Internet Res 2025;27:e71998

The First 6 Years’ Experiences of a National Centralized Offspring Surveillance Setting for Dutch Children Prenatally Exposed to Maternal Cancer to Inform Future International Practice: Protocol for a Demographic Review of Referred Families and Key Lessons Learned

The First 6 Years’ Experiences of a National Centralized Offspring Surveillance Setting for Dutch Children Prenatally Exposed to Maternal Cancer to Inform Future International Practice: Protocol for a Demographic Review of Referred Families and Key Lessons Learned

In most countries, the available program for offspring surveillance is generally dispersed among various and often small centers. Consequently, expertise in the specific field of toxicity in the offspring after exposure to cytotoxic agents is limited. Since 2018, Dutch pediatric cancer care has been centralized at the Princess Máxima Center, optimizing treatment outcomes and reducing toxicity [22].

Evangeline A Huis in 't Veld, Anouk M Kruse, Emma J Verwaaijen, Sterre C Huizer, Elisabeth M van Dijk-Lokkart, Christianne Lok, Maaike Kuethe, Frederic Amant, Mathilde M A van Gerwen, Martine van Grotel, Marry M van den Heuvel-Eibrink

JMIR Res Protoc 2025;14:e71612

Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach

Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach

Tracking the presence and concentration of pathogens in wastewater, a passive method of environmental surveillance, has been used for several decades to track infectious diseases, such as polio [3], gastroenteritis [4], hepatitis E [5], and acute diarrhea [6], among others. However, the COVID-19 pandemic accelerated interest in this approach worldwide [7], as it offers multiple benefits as a complement to traditional surveillance systems.

Masahiko Haraguchi, Fayette Klaassen, Ted Cohen, Joshua A Salomon, Nicolas A Menzies

JMIR Public Health Surveill 2025;11:e68213

Using WhatsApp for Nutrition Surveillance Among Children Under 5 Years in West Java, Indonesia: Cross-Sectional Survey and Feasibility Study

Using WhatsApp for Nutrition Surveillance Among Children Under 5 Years in West Java, Indonesia: Cross-Sectional Survey and Feasibility Study

To accurately describe a population’s nutritional status, particularly the at-risk groups, establishing a nutritional surveillance system becomes pivotal [8]. Such a nutritional surveillance system needs to collect data on nutrition risk factors in a regular and timely manner from various sources, such as growth monitoring in health facilities, nutrition surveys for the population, as well as community-based sentinel monitoring [8-10].

Dewi Nur Aisyah, Chyntia Aryanti Mayadewi, Astri Utami, Fauziah Mauly Rahman, Nathasya Humaira Adriani, Erlangga Al Farozi, Meldi Hafizh Sayoko, Aulia Chairunisa, Liza Restiana, Logan Manikam, Zisis Kozlakidis

JMIR Pediatr Parent 2025;8:e58752