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Assessment of Heat Exposure and Health Outcomes in Rural Populations of Western Kenya by Using Wearable Devices: Observational Case Study

Assessment of Heat Exposure and Health Outcomes in Rural Populations of Western Kenya by Using Wearable Devices: Observational Case Study

Kenya, the focus of our study, is increasingly vulnerable to climate change, with forecasts anticipating higher temperatures and more frequent extreme weather events; yet, there remains a lack of preparedness for necessary adaptation measures [1,7]. In LMIC settings, a more nuanced understanding of individual exposure to extreme weather events and the resulting health outcomes is essential for creating tailored interventions and allocating resources efficiently [2].

Ina Matzke, Sophie Huhn, Mara Koch, Martina Anna Maggioni, Stephen Munga, Julius Okoth Muma, Collins Ochieng Odhiambo, Daniel Kwaro, David Obor, Till Bärnighausen, Peter Dambach, Sandra Barteit

JMIR Mhealth Uhealth 2024;12:e54669

Assessing the Effect of Extreme Weather on Population Health Using Consumer-Grade Wearables in Rural Burkina Faso: Observational Panel Study

Assessing the Effect of Extreme Weather on Population Health Using Consumer-Grade Wearables in Rural Burkina Faso: Observational Panel Study

Participants were categorized as young adults (aged We calculated WBGT estimates according to the formula provided by Carter et al [39] and used the heat.index function of the R package weathermetrics (version 1.2.2 [40]) to calculate the HI according to the US National Weather Service complex algorithm from temperature and relative humidity [40]. Weather extreme indexes were calculated for each day of the study period so that days with and without extreme weather could be compared.

Mara Koch, Ina Matzke, Sophie Huhn, Ali Sié, Valentin Boudo, Guillaume Compaoré, Martina Anna Maggioni, Aditi Bunker, Till Bärnighausen, Peter Dambach, Sandra Barteit

JMIR Mhealth Uhealth 2023;11:e46980

The Impact of Temperature, Humidity, and Sunshine on Internet Search Volumes Related to Psoriasis

The Impact of Temperature, Humidity, and Sunshine on Internet Search Volumes Related to Psoriasis

A connection between psoriasis severity and weather has long been suspected. Cold, dry weather has been noted anecdotally to exacerbate symptoms, whereas sunshine improves the condition [1]. Psoriasis is more prevalent in the northern hemisphere, possibly due to colder temperatures [2]. Studies examining internet search data show that searching is more common during winter than summer, suggesting a relationship with temperature [3].

Hakan Lane, Mark Walker

JMIR Dermatol 2023;6:e49901

The Association Between Short-term Exposure to Ambient Air Pollution and Patient-Level Home Blood Pressure Among Patients With Chronic Cardiovascular Diseases in a Web-Based Synchronous Telehealth Care Program: Retrospective Study

The Association Between Short-term Exposure to Ambient Air Pollution and Patient-Level Home Blood Pressure Among Patients With Chronic Cardiovascular Diseases in a Web-Based Synchronous Telehealth Care Program: Retrospective Study

Hourly meteorological data (including temperature, relative humidity, and wind speed) of Taipei City during the study period were obtained from the Central Weather Bureau, Taiwan. Hourly ambient air pollution monitoring data (including CO, NO2, PM10, PM2.5, and SO2) during the same study period were obtained from the Environmental Protection Administration, Taiwan. Statistical analysis was performed using the R software (version 3.4.2, The R Foundation for Statistical Computing).

Ching-Chang Huang, Ying-Hsien Chen, Chi-Sheng Hung, Jen-Kuang Lee, Tse-Pin Hsu, Hui-Wen Wu, Pao-Yu Chuang, Ming-Fong Chen, Yi-Lwun Ho

JMIR Public Health Surveill 2021;7(6):e26605

The Influence of Average Temperature and Relative Humidity on New Cases of COVID-19: Time-Series Analysis

The Influence of Average Temperature and Relative Humidity on New Cases of COVID-19: Time-Series Analysis

Areas with relatively low temperature and humidity have a higher infection rate compared to tropical areas since cold and dry weather is suitable for viral survival and transmission [48]. The viability of the influenza virus appears greater at lower humidity, and exhibits progressively reduced survival with increasing relative humidity over the 27%-84% range, with an increase in survival at 99% relative humidity.

Zonglin He, Yiqiao Chin, Shinning Yu, Jian Huang, Casper J P Zhang, Ke Zhu, Nima Azarakhsh, Jie Sheng, Yi He, Pallavi Jayavanth, Qian Liu, Babatunde O Akinwunmi, Wai-Kit Ming

JMIR Public Health Surveill 2021;7(1):e20495

Influence of Climate on Google Internet Searches for Pruritus Across 16 German Cities: Retrospective Analysis

Influence of Climate on Google Internet Searches for Pruritus Across 16 German Cities: Retrospective Analysis

Interestingly, the effect of weather data differed within the regions. For example, in Northern Germany, only PM10 was found to have a significant effect on search behavior, while in Eastern Germany, all environmental factors examined were significant. Additionally, PM10 had a positive effect on the number of search queries in Northern Germany, which was contrary to all other regions.

Linda Tizek, Maximilian Schielein, Melvin Rüth, Sonja Ständer, Manuel Pedro Pereira, Bernadette Eberlein, Tilo Biedermann, Alexander Zink

J Med Internet Res 2019;21(7):e13739

Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches

Using Machine Learning to Derive Just-In-Time and Personalized Predictors of Stress: Observational Study Bridging the Gap Between Nomothetic and Ideographic Approaches

Deeper knowledge of the day-to-day effects of both weather and physical activity on stress can be valuable for creating personalized stress-reduction interventions on a just-in-time basis. Previous investigations have often focused on a nomothetic approach, pooling data to identify influential features across individuals [1,2].

Alan Rozet, Ian M Kronish, Joseph E Schwartz, Karina W Davidson

J Med Internet Res 2019;21(4):e12910

Pokémon GO and Physical Activity in Asia: Multilevel Study

Pokémon GO and Physical Activity in Asia: Multilevel Study

First, physical activity on each day is not only determined by players’ demographics and Pokémon GO behaviors (such as whether Pokémon GO was played, and the number of days played) but also by weather and built environment. Inclement or extreme weather can be physical activity barriers [15]. Further, built environment is the essential element for location-based AR games because the games are built based on the actual physical world environment.

Ben D V Ma, Sai Leung Ng, Tim Schwanen, John Zacharias, Mudi Zhou, Ichiro Kawachi, Guibo Sun

J Med Internet Res 2018;20(6):e217

Cloudy with a Chance of Pain: Engagement and Subsequent Attrition of Daily Data Entry in a Smartphone Pilot Study Tracking Weather, Disease Severity, and Physical Activity in Patients With Rheumatoid Arthritis

Cloudy with a Chance of Pain: Engagement and Subsequent Attrition of Daily Data Entry in a Smartphone Pilot Study Tracking Weather, Disease Severity, and Physical Activity in Patients With Rheumatoid Arthritis

Limitations of previous studies have included small sample sizes, low geographical and meteorological variability, and the lack of longitudinal clinical data alongside high-quality weather data. For example, in one of the larger studies (>500 patients with chronic pain), pain-related data were collected from participants on a single occasion and compared with the average weather for a single year across 4 cities [3]. The potential benefits of understanding the relationship are twofold.

Samuel Reade, Karen Spencer, Jamie C Sergeant, Matthew Sperrin, David M Schultz, John Ainsworth, Rashmi Lakshminarayana, Bruce Hellman, Ben James, John McBeth, Caroline Sanders, William G Dixon

JMIR Mhealth Uhealth 2017;5(3):e37