Publications by authors named "Hejia Song"
Article Synopsis
- Several studies show a link between temperature changes and various diseases, but little research exists on the relationship between temperature and skin diseases, particularly in China.
- This study aimed to measure the impact of heat on skin diseases and identify at-risk populations and regions in China using data collected from 2014 to 2018.
- It was found that a 1 °C rise in daily mean temperature during warm months increased the risk of skin disease-related outpatient visits by 1.25%, with certain demographics, like males and those aged 18-44, being more vulnerable.
- The study highlights the need for targeted health measures and early warning systems to address heat-related skin diseases.
Background: Many studies have shown that heatwaves are associated with an increased prevalence of urinary diseases. However, few national studies have been undertaken in China, and none have considered the associated economic losses. Such information would be useful for health authorities and medical service providers to improve their policy-making and medical resource allocation decisions.
View Article and Find Full Text PDFBackground: Many studies have explored the epidemiological characteristics of influenza. However, most previous studies were conducted in a specific region without a national picture which is important to develop targeted strategies and measures on influenza control and prevention.
Objectives: To explore the association between ambient temperature and incidence of influenza, to estimate the attributable risk from temperature in 30 Chinese cities with different climatic characteristics for a national picture, and to identify the vulnerable populations for national preventative policy development.
What Is Already Known About This Topic?: In recent years, climate change may lead to an increase in cold spells in the middle latitudes, and there is a positive correlation between cold spells and population mortality.
What Is Added By This Report?: The acute response period and the vulnerable population were identified under the optimal definition of cold spells, and the mortality burden caused by cold spells was estimated.
What Are The Implications For Public Health Practice?: This research would provide evidence on the acute mortality effects of cold spells in southern China.
Objectives: This study intends to build and compare two kinds of forecasting models at different time scales for hemorrhagic fever incidence in China.
Methods: Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory Neural Network (LSTM) were adopted to fit monthly, weekly and daily incidence of hemorrhagic fever in China from 2013 to 2018. The two models, combined and uncombined with rolling forecasts, were used to predict the incidence in 2019 to examine their stability and applicability.
Backgrounds: Studies on the association between ambient temperature and human mortality have been widely reported, focusing on common diseases such as cardiopulmonary diseases. However, multi-city studies on the association between both high and low temperatures and mortality of nervous system diseases were scarce, especially on the evidence of vulnerable populations.
Methods: Weekly meteorological data, air pollution data and mortality data of nervous system were collected in 5 cities in China.
Background: Although exposure to air pollution has been linked to many health issues, few studies have quantified the modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China.
Methods: The data of daily incidence of influenza and the relevant meteorological data and air pollution data in Ningbo from 2014 to 2017 were retrieved. Low, medium and high temperature layers were stratified by the daily mean temperature with 25th and 75th percentiles.