Mapping heatwave-related mortality across 2288 local communities in Australia: a nationwide time-series analysis.

Background: Heatwaves are becoming more frequent and intense in a warming climate and can cause substantial excess deaths. This study aimed to assess and map heatwave-related mortality burdens across Australia.

Methods: Heatwaves were defined as periods of ≥2 consecutive days with daily mean temperatures above the 95th percentile for each community (SA2 or SA3 level) during 2009-2019.

Hospitalization risk and burden for cause-specific cardiovascular diseases following tropical cyclones: A multicountry study.

The indirect health risks of tropical cyclones (TCs), the costliest climate extremes, remain unclear, with cardiovascular diseases (CVDs) being a major contributor. We applied two-stage time-series analysis to 6.54 million CVD hospitalizations across six countries/territories (Canada, New Zealand, South Korea, Taiwan, Thailand, and Vietnam) between 2000 and 2019 to quantify the long-term risks and burden of CVD hospitalizations following TCs.

Comprehensive understanding long-term heavy metals release characteristics and environmental impacts of ultra-alkaline fly ash based roadbed materials.

China's aggressive air pollution control policies have led to the widespread generation of ultra-alkaline fly ash (UAFAs). Compared with conventional fly ash, the risk characteristics, release mechanisms, and control strategies of UAFAs during its reuse in construction materials-such as roadbeds-remain fundamentally different yet poorly understood. This study systematically evaluates the lifecycle groundwater contamination risks of UAFAs-recycled road materials through accelerated carbonation experiments coupled with reactive transport modeling and Monte Carlo uncertainty analysis.

Genome-wide association and epidemiological evidence linking air pollution to aging mechanisms.

This study aimed to investigate the effects of air pollution on aging and aging-related diseases, focusing on potential causal relationships and molecular mechanisms. The first part involved a comprehensive analysis of global studies, examining the associations among PM exposure, telomere length, and sarcopenia incidence. The second part employed Mendelian randomization (MR) analysis to explore potential causal association between PM exposure and shorter telomere length.

Power outages increase the risk of ambulance attendances associated with non-optimal temperatures.

The incidence of power outages is increasing due to rising electricity demand and extreme weather events. However, there is limited and inconsistent evidence on the health risks of non-optimal temperatures following power outages. We collected daily counts of ambulance attendances between 2012 and 2016 from Ambulance Victoria, Australia.

Psychiatric Disorders Mediate the Association between Floods and Dementia: A Prospective Cohort Study in the UK Biobank.

Flooding has become more frequent and severe worldwide, leading to an increased burden of psychiatric disorders (e.g., depression and anxiety).

Short-term wildfire-related PM exposure and risk of influenza in Brazil: A nationwide study.

Wildfires are a significant source of fine particulate matter (PM) and while emerging evidence has linked wildfire smoke to various respiratory and cardiovascular diseases, its impact on influenza remains largely unexplored, particularly in Brazil, where wildfires are frequent and severe. This study quantifies the association between wildfire-related PM and influenza cases in Brazil and estimates the fraction of influenza cases attributable to wildfire-related PM. Using daily surveillance data from 510 immediate-regions (2009-2019), a space-time-stratified case-crossover design with a distributed lag model was applied.

Microplastics, plastics, and their products exposures and cancer: a pooled analysis.

Objective: This meta-analysis aims to evaluate the impact of microplastic pollutant exposure on cancer risk by analyzing data from existing cohort and case-control studies.

Methods: The researchers systematically searched PubMed, Embase, and the Cochrane Library on 30 June 2024 to identify relevant studies. The analysis focused on cancer incidence and mortality, with subgroup analyses performed for different types of cancers and microplastic pollutants, and dose-response analysis for further investigation.

Billions of people exposed to increasing heat but decreasing greenness from 2000 to 2022.

Rising heat stress due to climate warming poses a significant threat to human health, and greenness offers a nature-based solution to mitigate heat-related health impacts and enhance resilience. Although global greenness has increased, it remains unclear whether these trends align with the population's heat mitigation needs. In this study, we integrated spatially resolved demographic data with satellite-derived greenness metric and reanalysis-based heat stress data to construct a global profile of joint exposure at 1 × 1 km resolution from 2000 to 2022.

Hospitalization risks associated with floods in a multi-country study.

Floods of unprecedented intensity and frequency have been observed. However, evidence regarding the impacts of floods on hospitalization remains limited. Here we collected daily hospitalization counts during 2000-2019 from 747 communities in Australia, Brazil, Canada, Chile, New Zealand, Taiwan, Thailand and Vietnam.

Wildfire-Related Air Pollution and Infectious Diseases: Systematic Review and Meta-Analysis.

Amid the global rise in wildfire events, the health impacts of wildfire-related air pollution are increasingly scrutinized. While numerous reviews have examined the link between air pollution and infectious diseases, reviews specifically focusing on wildfire-related air pollution and infectious diseases remain scarce. To address this gap, we conducted a comprehensive search in MEDLINE, EMBASE, Scopus and Web of Science databases up to December 31, 2023, using PRISMA (Preferred Reporting Items for Systematic Reviews & Meta-Analyses) guidelines.

Value of using blood routine indicators combined with artificial intelligence in sepsis patients.

Objective: To explore the correlation between Blood Routine Indicators (BRI) and sepsis using machine learning algorithms (MLAs) and evaluate their application in early sepsis for prognosis assessment.

Methods: A total of 4,558 blood routine data (BRD) samples were collected, including 149 sepsis patients and 186 patients with common infections (CI). A binary logistic regression model (BLRM) was constructed to predict sepsis based on BRI.

Spatiotemporal variations and inequalities in global traffic-sourced PM exposure.

Traffic emission is a major source of ambient fine particulate matter with aerodynamic diameter less than 2.5 µm (PM) pollution. However, little is known about the global population exposure to traffic-sourced PM at high spatiotemporal resolutions.

Effect modification of fine particulate matter (PM) related hospital admissions by temperature in Thailand: A nationwide time-series study.

Background: In Thailand, the short-term exposure to particulate matter (PM) has been associated with increased hospital admissions. However, whether ambient temperature would modify this association remains unknown, especially in tropical regions. This study performed with 6 years data aimed to explore the association between short-term exposure to PM and hospital admissions related to all cause and specific of diseases from 2013 to 2019.

A Review of Wafer-Level Packaging Technology for SAW and BAW Filters.

This paper presents a comprehensive review of advancements in wafer-level packaging (WLP) technology, with a particular focus on its application in surface acoustic wave (SAW) and bulk acoustic wave (BAW) filters. As wireless communication systems continue to evolve, there is an increasing demand for higher performance and miniaturization, which has made acoustic wave devices-especially SAW and BAW filters-crucial components in the Radio Frequency (RF) front-end systems of mobile devices. This review explores key developments in WLP technology, emphasizing novel materials, innovative structures, and advanced modeling techniques that have enabled the miniaturization and enhanced functionality of these filters.

UK Biobank data demonstrate long-term exposure to floods is a risk factor for incident dementia.

Background: Flooding has emerged as the most prevalent natural disaster, impacting billions of individuals worldwide. However, the long-term effects of flooding exposure on dementia remain unclear.

Methods: With a nested case-control design, a risk-set sampling method was used to match cases and controls.

Ambient air pollution and the risk of cancer: Evidence from global cohort studies and epigenetic-related causal inference.

The correlation between air pollution and cancer incidence has been a longstanding concern, understanding the need to elucidate the specifics of this relationship. Thus, this study aimed to assess the association between exposure to air pollution and cancer incidence, and to identify the possible biological links between the two. We examined global cohort studies investigating the association between air pollution and cancer and performed a univariate Mendelian randomization (MR) analysis.

Moderating effect of green space on relationship between atmospheric particulate matter and cardiovascular and cerebrovascular disease mortality in Ningxia, China.

Objective: This study explores the moderating effect of green space on the association between atmospheric particulate matter (PM) and cardiovascular and cerebrovascular disease (CCVD) mortality.

Methods: Data on CCVD mortality, PM, meteorological factors, and the Normalized Difference Vegetation Index (NDVI) of green spaces in Ningxia from 2010 to 2020 were collected. A time-series generalized additive mixed-effect model (GAMM) was applied to analyze the exposure-response relationship between PM and CCVD mortality.

Identifying the healthy places to live in Australia with a new environmental quality health index.

Background: Existing environmental quality indices often fail to account for the varying health impacts of different exposures and exclude socio-economic status indicators (SES).

Objectives: To develop and validate a comprehensive Environmental Quality Health Index (EQHI) that integrates multiple environmental exposures and SES to assess mortality risks across Australia.

Methods: We combined all-cause, cardiovascular, and respiratory mortality data (2016-2019) from 2,180 Statistical Areas Level 2 with annual mean values of 12 environmental exposures, including PM, ozone, temperature, humidity, normalized difference vegetation index, night light, road and building density, and socioeconomic status.

Ambient temperature and deaths from homicide in Brazil during 2010-2019: A nationwide space-time-stratified case-crossover study.

Research Question: Previous evidence suggests a positive association between temperature and homicide, but the association was less clear in Brazil where homicide is one of the leading causes of death. This study aimed to quantify the association between ambient daily temperature and homicides in Brazil with potential lag effects and to quantify the temperature attributed fractions of homicides in Brazil.

Methods: A space-time-stratified case-crossover design with distributed lag models was used to evaluate the temperature-homicide association from 1·1·2010 to 31·12·2019 in Brazil.

Geographic and socioeconomic disparities in mortality burden attributable to long-term exposure to NO across 231 cities in China from 2015 to 2019.

Research on geographic and socioeconomic disparities of NO attributed mortality burden is limited. This study aims to quantify the geographic and socioeconomic differences in the association between long-term exposure to NO and mortality burden in China. We estimated the all-cause mortality burden of adults over 16 years old attributable to NO exposure above 10 µg/m for 231 Chinese cities from 2015 to 2019, and geographic and socioeconomic differences .

Global, regional, and national mortality burden attributable to air pollution from landscape fires: a health impact assessment study.

Background: Landscape fire-sourced (LFS) air pollution is an increasing public health concern in the context of climate change. However, little is known about the attributable global, regional, and national mortality burden related to LFS air pollution.

Methods: We calculated country-specific population-weighted average daily and annual LFS fine particulate matter (PM) and surface ozone (O) during 2000-19 from a validated dataset.

Landscape fire PM and hospital admissions for cause-specific cardiovascular disease in urban China.

There is a growing interest in the health impacts of PM originating from landscape fires. We conducted a time-series study to investigate the association between daily exposure to landscape fire PM and hospital admissions for cardiovascular events in 184 major Chinese cities. We developed a machine learning model combining outputs from chemical transport models, meteorological information and observed air pollution data to determine daily concentrations of landscape fire PM.