The temperature–mortality relationship: an analysis from 31 Chinese provincial capital cities

<p>We aim to explore the Minimum Mortality Temperature (MMT) of different cities and regions, and that provides evidence for developing reasonable heat wave definition in China. The death data of 31 Chinese provincial capital cities from seven geographical regions during 2008–2013 was included in this study. In the first stage, a DLNM (Distributed Lag Non-linear Model) was used to estimate the association between mean temperature and mortality in a single city, then we pooled them with a multivariate meta-analysis to estimate the region-specific effects. The range of MMT was from 17.4 °C (Shijiazhuang) to 28.4 °C (Haikou), and the regional MMT increased as the original latitude decreased. Different cities and regions have their own specialized MMT due to geography and demographic characteristics. These findings indicate that the government deserves to adjust measures to local conditions to develop public health policies.</p

Predictors of bacillary dysentery morbidity and seasonality in China.

<p>Predictors of bacillary dysentery morbidity and seasonality in China.</p

The decomposed distribution of monthly bacillary dysentery morbidity in China, from January 1990 to December 2009.

<p>The decomposed distribution of monthly bacillary dysentery morbidity in China, from January 1990 to December 2009.</p

Summary statistics for monthly incidence of bacillary dysentery (1/10 000) in China, from 1990–2009.

<p>Summary statistics for monthly incidence of bacillary dysentery (1/10 000) in China, from 1990–2009.</p

Additional file 1 of Mortality and years of life lost due to pancreatic cancer in China, its provinces, urban and rural areas from 2005 to 2020: results from the national mortality surveillance system

Supplementary Material

Heat maps of bacillary dysentery epidemiology data in the whole China (A) and 31 provinces of China (B), from 1990 to 2009.

<p>Heat maps of bacillary dysentery epidemiology data in the whole China (A) and 31 provinces of China (B), from 1990 to 2009.</p

The spatial patterns of bacillary dysentery morbidity across four periods in China, from 1990–2009.

<p>The spatial patterns of bacillary dysentery morbidity across four periods in China, from 1990–2009.</p

Additional file 1: Table S1. of Reduced Kidney Function, Albuminuria, and Risks for All-cause and Cardiovascular Mortality in China: A Population-based Cohort Study

and S2.Hazard ratios for all-cause and cardiovascular mortality by indicators of chronic kidney disease among participants aged less than 65 years old, as well as among those aged more than 65 years old. (DOCX 17 kb

The distributions of bacillary dysentery morbidity across four seasons in China, from 1990 to 2009 (1 = spring, 2 = summer, 3 = autumn, 4 = winter).

<p>The distributions of bacillary dysentery morbidity across four seasons in China, from 1990 to 2009 (1 = spring, 2 = summer, 3 = autumn, 4 = winter).</p

Summary statistics for geographic characteristics, climatic factors, and bacillary dysentery seasonal parameters of the 31 provinces in China.

<p>*PGRP: per capita gross regional product.</p