A new arbutin derivative from the leaves of Vaccinium dunalianum wight.

A new arbutin derivative, namely dunalianosides J (1), along with six known compounds, arbutin (2), robustaside A (3), 6'-O-caffeoylarbutin (4), dunalianoside D (5), kaempferol 3-O-β-D-glucopyranoside (6) and kaempferol 3-O-β-D-sambubioside (7) were isolated from the leaves of Vaccinium dunalianum Wight (Ericaceae). The structure of 1 was elucidated by extensive 1D and 2D NMR, HR-MS and CD spectroscopic analyses. In which, kaempferol 3-O-β-D-sambubioside (7) was isolated from the genus Vaccinium for the first time.

Characterizing a large outbreak of dengue fever in Guangdong Province, China.

Background: Dengue cases have been reported each year for the past 25 years in Guangdong Province, China with a recorded historical peak in 2014. This study aims to describe the epidemiological characteristics of this large outbreak in order to better understand its epidemic factors and to inform control strategies.

Methods: Data for clinically diagnosed and laboratory-confirmed dengue fever cases in 2014 were extracted from the China Notifiable Infectious Disease Reporting System.

Health impact of the 2008 cold spell on mortality in subtropical China: the climate and health impact national assessment study (CHINAs).

Background: Many studies have investigated heat wave related mortality, but less attention has been given to the health effects of cold spells in the context of global warming. The 2008 cold spell in China provided a unique opportunity to estimate the effects of the 2008 cold spell on mortality in subtropical regions, spatial heterogeneity of the effects, stratification effect and added effects caused by sustained cold days.

Methods: Thirty-six study communities were selected from 15 provinces in subtropical China.

The effects of dust-haze on mortality are modified by seasons and individual characteristics in Guangzhou, China.

This study aimed to investigate the effects of dust-haze on mortality and to estimate the seasonal and individual-specific modification effects in Guangzhou, China. Mortality, air pollution and meteorological data were collected for 2006-2011. A dust-haze day was defined as daily visibility <10 km with relative humidity <90%.

[What temperature index is the best predictor for the impact of temperature on mortality].

Objective: To explore the suitable temperature index to establish temperature-mortality model.

Methods: The mortality and meteorological information of Guangzhou between year 2006 and 2010 were collected to explore the association between sendible temperature, heat index and deaths by adopting distributed lag non-linear model to fit the daily maximum, mean and minimum temperature with and without humidity. Q-Q plots based on the standardized residuals of each model were used to qualitatively access the goodness of fitting.

[Time-series analysis on the malaria morbidity affected by meteorological factors in Guangdong province].

Objective: To evaluate the associations between malaria risk and meteorological factors.

Methods: A negative binomial distribution regression analysis was built between the temperature, relative humidity, rainfall capacity and the monthly incidence of malaria, based on the temperature information provided by Guangdong Meteorological Department and the malaria incidence information provided by Guangdong Center of Disease Prevention and Control during year 1980 to 2004, adopting the time-series analysis method and by distributed lag non-linear model, in order to analyze the immediate factors.

Results: The number of monthly malaria cases in Guangdong province reached 4010 between year 1984 and 2004, while the monthly maximal temperature, minimal temperature, average temperature, relative humidity and average rainfall capacity was separately 26.

[The impact of temperature on cardiovascular disease deaths in 4 cities, China: a time-series study].

Objective: To estimate the effects of temperature on cardiovascular disease (CVD) deaths in 4 cities-Kunming, Changsha, Guangzhou and Zhuhai, from southern part of China.

Methods: Daily CVD deaths, meteorological and air pollution data were used to explore the association between temperature and mortality. Distributed lag non-linear model was fitted for each city to access the delayed and cumulative effects of low, median and high temperature on CVD deaths.