dlvr.it
More than 170,000 respiratory cases recorded in haze-choked Indonesia
More than 40,000 of the cases – which range from mild coughs to pneumonia – involve toddlers.
#RespiratoryHealth is an active hashtag on Bluesky. In the last 30 days, 13 people shared 22 posts with it — around 1 a day. Activity is down 60% versus the previous week, peaking on Sep 1 with 5 posts.
dlvr.it
More than 170,000 respiratory cases recorded in haze-choked Indonesia
More than 40,000 of the cases – which range from mild coughs to pneumonia – involve toddlers.
www.youtube.com
The Dangers Of Not Eating Enough Fruit! Breakthrough Study!
YouTube video by Plant Based Science London
www.marketresearchfuture.com
Pulmonary Drug Market Size, Demands, Growth Outlook 2035
Pulmonary Drug Market Industry is expected to grow from 42.93(USD Billion) in 2024 to 62.5 (USD Billion) by 2035. The Pulmonary Drug Market CAGR (growth rate) is expected to be around 3.47% during the...
www.news-medical.net
Reinstating masking curbs hospital viral outbreaks, study confirms
Researchers investigate how changes in hospital policies for SARS-CoV-2 testing and masking have influenced hospital-acquired respiratory viral infections.
www.news-medical.net
Severe illness odds higher in COVID-19 vs other illnesses
Study found that COVID-19 cases were more likely to experience severe illness and persistent symptoms compared to non-COVID-19 respiratory illnesses, with age, preexisting conditions, and chronic resp...
dlvr.it
More than 170,000 respiratory cases recorded in haze-choked Indonesia
More than 40,000 of the cases – which range from mild coughs to pneumonia – involve toddlers.
www.youtube.com
ClimAIr´s Clinical Trials: A Pan-European Effort to Tackle Air Pollution and Respiratory Diseases
YouTube video by Kneia
dlvr.it
Multisource Early Warning Framework Integrating Regional Pathogen Surveillance and Baidu Index Data for Respiratory Infectious Disease Prediction in Beijing: Retrospective Time-Series Modeling Study
Background: Respiratory infectious disease surveillance increasingly requires timely integration of routine case reporting, laboratory pathogen surveillance, and digital behavioral signals. However, the incremental predictive value of spatially stratified regional pathogen activity and internet search data for short-term urban respiratory disease prediction remains unclear. Objective: This study aimed to develop and initially validate an exploratory multisource prediction framework for short-term prediction and early warning of respiratory infectious disease activity in Beijing by integrating reported case data, spatially stratified regional pathogen surveillance indicators, and Baidu index search data. Methods: We conducted a retrospective time-series modeling study using weekly reported respiratory infectious disease cases in Beijing, regional pathogen surveillance data from 31 provincial-level administrative regions in China, and Baidu index search data from January 2023 to December 2025. Pathogen indicators were aggregated by spatial strata and lagged by 0 to 4 weeks. Ten candidate LASSO (least absolute shrinkage and selection operator)–Poisson models were constructed to compare historical case terms, seasonal terms, local and regional pathogen indicators, and Baidu index indicators. One-week-ahead prediction was the primary task. Models were evaluated using a chronological train-test split and rolling-origin cross-validation for penalty parameter selection. Performance was assessed using root mean squared error (RMSE), mean absolute error (MAE), symmetric mean absolute percentage error (SMAPE), and RMSE reduction relative to the baseline historical case model. Results: The M10 core multisource model achieved the lowest overall RMSE among all candidate models, with an RMSE of 16,658.24; an MAE of 10,303.07; and an SMAPE of 0.766, corresponding to a 73.5% RMSE reduction relative to the M1 baseline model. The M3 regional pathogen model ranked second by RMSE, whereas the M7 Baidu index model achieved the lowest SMAPE, indicating better relative performance during low-burden periods. Selected predictors included regional overall pathogen positivity, influenza A positivity, coinfection-related indicators, historical case terms, and Baidu index disease name search indicators. Conclusions: The core multisource model improved the 1-week-ahead prediction of respiratory infectious disease case counts in Beijing, although relative prediction performance differed across models. Spatially stratified regional pathogen activity indicators, particularly overall pathogen positivity, influenza A positivity, and coinfection-related indicators, served as important supplementary signals, while Baidu index data provided complementary digital information. These findings support the #feasibility of an exploratory multisource prediction framework in Beijing. Further prospective temporal validation and spatial validation in other megacities are needed before broader application. The core multisource model improved 1-week-ahead absolute case count prediction of respiratory infectious diseases in Beijing according to RMSE but did not achieve the lowest relative error according to SMAPE. These findings support the #feasibility of an exploratory multisource prediction framework in Beijing. Further prospective temporal validation and spatial validation in other megacities or urban settings are needed before broader application.
www.astrazeneca-us.com
Tozorakimab demonstrated statistically significant and highly clinically meaningful reduction in COPD exacerbations in OBERON and TITANIA Phase III trials
journosnews.com
New Study Links Semaglutide to Fewer Asthma Attacks in Real-World Analysis
BARCELONA, Spain - People taking semaglutide had fewer asthma exacerbations in a large real-world analysis of UK medical records, with
youtu.be
Semaglutide Linked to 40% Fewer Asthma Attacks
YouTube video by HealthDay
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Bacteria in Classroom Dust Linked to Reduced Lung Function in Kids
YouTube video by HealthDay
healthcaretoday.com
Comment: Reversing the stigma of chronic obstructive pulmonary disease
Ameera Patel, chief executive of TidalSense, writes that while cancer research gets £419 million a year, all of respiratory disease gets only £16 million.
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