Publications by authors named "Fengliu Feng"

The impact of O on the respiratory system is a significant global problem. Nevertheless, there is insufficient information about its impact on respiratory disorders in northeast China. In this study, we used a generalized additive model (GAM) to determine the correlation between O concentrations and respiratory deaths based on the daily meteorological data, pollutant concentrations, and respiratory deaths from 2014 to 2016 in Shenyang, a typical city in northeast China.

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  • Dengue is an increasing mosquito-borne disease affected by climate factors, with a significant rise in global cases reported from 1990 to 2019, especially in warmer regions.
  • The analysis revealed a strong link between annual mean minimum temperatures and dengue rates, particularly when temperatures rise above 21°C, affecting certain demographics like young males and older adults.
  • Projections indicate that by 2100, many areas, particularly in Africa and the southern United States, could become endemic for dengue year-round, highlighting the urgent need for interventions to combat the effects of climate change on this disease.
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  • Air pollutants and temperature significantly affect public health by worsening respiratory diseases, necessitating this study to analyze their impact in Dingxi, China from 2018 to 2020 using a generalized additive model (GAM).
  • The study found that increases in particulate matter (PM) and ozone (O) concentrations correlate with higher risks of respiratory diseases, particularly at different temperature levels and relative humidity.
  • The analysis revealed that low to moderate temperatures enhance the impact of PM, while ozone poses greater risks at high temperatures, and a complex interplay between these factors influences respiratory health outcomes.
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  • This study analyzed weather patterns and topography's impact on air pollution in Lanzhou using advanced data analysis techniques and data from 2015 to 2022.
  • It found that specific weather types, particularly low pressure systems, significantly worsened air quality by trapping pollutants and leading to extended periods of downdraft.
  • Conversely, high pressure patterns enhanced vertical mixing and improved air quality, reducing particulate matter (PM) concentrations by notable percentages.
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  • Air pollution negatively impacts public health, prompting a study that developed a new health risk-based air quality index (NHAQI) to analyze air quality changes in Shaanxi Province before and after COVID-19.
  • The analysis of six key pollutants from 2015-2021 showed significant reductions in pollutant levels after the pandemic, with decreases in various particulate matters and gases due to lower human emissions.
  • Although the overall air quality improved, particularly post-COVID, the study highlighted that health risks in winter months continued to pose significant concerns, with 61% of the population exposed to unhealthy air in Period I dropping to 16% in Period II.
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The effect of ambient temperature on health continues to draw more and more attention with the global warming. Bacillary dysentery (BD) is a major global environmental health issue and affected by temperature and other environmental variables. In the current study, we evaluated the effect of temperature on the incidence of BD from January 1st, 2008 to December 31st, 2011 in Jiayuguan, a temperate continental arid climate city in the Hexi Corridor of northwest China.

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Emission sources and meteorological conditions are key factors affecting the intensity and duration of air pollution events. In the current study, using the daily concentrations of PM (particulate matter with a diameter ≤ 2.5 μm) and the water-soluble ions thereof in Lanzhou from March 1, 2021, to May 31, 2021, we investigated the contributions of emission sources and locations of potential sources through positive matrix factorization and potential source contribution function analysis.

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Epidemiological studies have proven that extreme temperatures have a significant threat to public health. This study aimed to investigate the association between extreme temperatures and circulatory mortality from January 1, 2014, to December 31, 2016, in Harbin, a city with a cold climate in Northeast China. We set a maximum lag of 27 days to evaluate the hysteresis effects of different temperatures on circulatory mortality using a distributed lag nonlinear model (DLNM).

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The impact of temperature variation on health has attracted increasing attention under global climate change. A distributed lag non-linear model (DLNM) was performed to estimate the risk of two indicators of temperature change (diurnal temperature range (DTR) and temperature change between neighboring days (TCN)) on respiratory hospital visits in Lanzhou, a semi-arid climate city in western China from 2012 to 2018. The whole year is divided into two different temperature change periods according to the TCN of each solar term.

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Purpose: The association between atmospheric particulate matter and emergency room visits for cerebrovascular disease were evaluated in Beijing.

Methods: A generalized additive model was used to evaluate the associations between particulate matter and cerebrovascular disease, based on the daily data of meteorological elements, PM concentrations, and emergency room (ER) visits for cerebrovascular disease in Beijing from 2009 to 2012. Long-term trends and the effects of holidays, the day of the week, and confounding factors were controlled to determine the lag effect at 0-6 days.

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  • Particulate matter (PM) is linked to an increased risk of circulatory system diseases (CSDs), as shown in a study conducted in Beijing from 2009 to 2012.
  • The study utilized a generalized additive model (GAM) to analyze the short-term effects of PM on ER visits for various CSDs, revealing that every 10 μg/m increase in PM was associated with small but significant increases in ER visits for conditions like arrhythmia and ischemic heart disease.
  • The findings also indicated that the impact of PM was more pronounced in males and older adults, and adding nitrogen oxides or sulfur oxides in the analysis affected the estimated impact of PM on health outcomes.
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  • Extreme weather events, linked to global climate warming, have been shown to increase respiratory diseases, with a study conducted in Lanzhou, China, evaluating ER visits from 2013 to 2017.
  • The study used a model to analyze the effects of extreme temperatures, finding that both extremely low and high temperatures lead to increased respiratory issues, but low temperatures have a stronger and longer-lasting impact.
  • Elderly individuals are the most vulnerable to these temperature extremes, while children face lower risks but longer lag effects; males experience more pronounced long-term effects than females.
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  • The study investigated how daily confirmed COVID-19 cases relate to environmental factors in Shanghai from January 21 to February 29, 2020.
  • It was found that higher temperatures and humidity levels are linked to fewer COVID-19 cases, while poor air quality and certain pollutants contribute to an increase in cases.
  • These results highlight the need for public health considerations regarding environmental conditions during pandemics.
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  • Particulate matter (PM) pollution has been linked to increased asthma visits among children, with a study conducted in Shanghai analyzing these effects over two years.
  • The study found that PM pollution has a more immediate and stronger effect on asthma visits, particularly impacting younger children (≤ 2 years) the most.
  • Despite these findings, the data used may not fully represent the true prevalence of asthma due to potential selection bias in pediatric visit records.
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  • A systematic review and meta-analysis were conducted to assess the short-term effects of ozone on respiratory mortality in China using data from multiple research databases.
  • Out of the screened studies, 12 were included, revealing a significant increase in respiratory mortality of 0.55% for every 10-μg/m³ rise in ozone levels.
  • The study also found regional variations, with higher mortality impacts in northern populations and more pronounced effects from single-day exposure compared to multiple-day lag effects; overall findings were consistent and free from significant publication bias.
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  • The IPCC highlights that global climate change is increasing extreme weather events, which could lead to higher rates of illness and mortality due to abnormal weather conditions.
  • A systematic review of 175 studies focused on the effects of outdoor and indoor environments on human health in China, particularly regarding cardiovascular, respiratory, and infectious diseases, as well as preterm birth.
  • Most studies concentrated on major Chinese cities and found that temperature-related factors significantly impact health, while research on indoor environments shows limited but concerning health risks, especially for children.
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  • The study investigates how extreme air temperatures impact cardiovascular-related emergency room visits in Beijing, China, focusing on data from 2009 to 2012.* -
  • Using a generalized additive model (GAM), researchers found that extreme cold weather was more strongly associated with increased hospital visits for cardiovascular diseases, particularly among females and elderly individuals aged 75 and older.* -
  • Specifically, extremely cold days had the highest relative risk at 3.0%, while warmer conditions had lesser impacts, suggesting that low temperatures pose a more serious health risk than high temperatures when it comes to cardiovascular issues.*
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  • Sudden temperature changes between neighboring days negatively impact human health, particularly affecting hospital admissions for chronic obstructive pulmonary disease (COPD) in Changchun, China, from 2009 to 2012.
  • Using a generalized additive model (GAM), the study found that the effect of temperature varies based on gender and age, with females and individuals aged 65 and older being more vulnerable to these changes.
  • The analysis revealed that the highest relative risk for hospital admissions occurs at different lags depending on the season and temperature direction, providing valuable insights for local health officials to manage and prevent COPD effectively.
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