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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

Impact of Acute Respiratory Infections on Medical Absenteeism Among Military Personnel: Retrospective Cohort Study

Impact of Acute Respiratory Infections on Medical Absenteeism Among Military Personnel: Retrospective Cohort Study

Despite ongoing surveillance, gaps remain in understanding how specific ARI pathogens impact medical absenteeism and readiness in high-density military environments. A comprehensive understanding of the full spectrum of ARI pathogens is critical. While influenza is known for causing significant morbidity and mortality, HRV is typically the most prevalent pathogen and can lead to chronic infections and secondary bacterial infections, particularly in immunocompromised individuals [4].

Premikha M, Jit Khong Goh, Jing Qiang Ng, Adeliza Mutalib, Huai Yang Lim

JMIR Form Res 2025;9:e69113

Assessing COVID-19 Mortality in Serbia’s Capital: Model-Based Analysis of Excess Deaths

Assessing COVID-19 Mortality in Serbia’s Capital: Model-Based Analysis of Excess Deaths

surveillanceInfoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management Statistical Methods for Surveillance and Population Health Innovative Methods in Public Health and Surveillance

Dane Cvijanovic, Nikola Grubor, Nina Rajovic, Mira Vucevic, Svetlana Miltenovic, Marija Laban, Tatjana Mostic, Radica Tasic, Bojana Matejic, Natasa Milic

JMIR Public Health Surveill 2025;11:e56877

Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study

Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study

Despite the abundance of evidence of conducting frailty assessments using machine learning globally and in Asia, we have found no integration of data science tools and frailty screening and surveillance studies in Thailand. Most studies focused on the risk factors and their association with frailty syndrome but failed to show application in real-world settings [12,13,35,36].

Natthanaphop Isaradech, Wachiranun Sirikul, Nida Buawangpong, Penprapa Siviroj, Amornphat Kitro

JMIR Aging 2025;8:e62942