Objective:To assess the association between temperature and risk of animal injury, and identifying vulnerable populations.Methods:Based on a time-stratified case-crossover design, the number of animal injuries monitored in hospitals of Guangdong Provincial Injury Surveillance System in 2011 and 2015-2016 was included, and the daily meteorological data were derived from the fifth generation of European ReAnalysis-Land, which was produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression combined with a distributed lagged nonlinear model was applied to analyze the association of temperature and animal-specific injuries. We also conducted stratified analysis by region, sex, age, occupation, and location of injury occurrence.Results:There was an almost linear relationship between temperature and the occurrence of animal injury. The excess risk ( ER) of animal injury was 2.65% (95% CI: 2.27%-3.04%) for a 1 ℃ rise in temperature with much higher risk of occurrence ( ER=9.34%, 95% CI: 7.57%-11.13%) for non-mammalian injury than that for mammalian injuries ( ER=2.30%, 95% CI: 1.90%-2.70%). Stratified analysis revealed that the occurrence of animal injury was more susceptible to temperature influences in urban ( ER=2.78%, 95% CI: 2.35%-3.21%), female ( ER=2.71%, 95% CI: 2.16%-3.27%), the elderly aged 60 years and above ( ER=3.05%, 95% CI: 1.65%- 4.47%), farmer ( ER=4.66%, 95% CI: 3.03%-6.32%) and agricultural area ( ER=10.63%, 95% CI: 7.57%-13.79%) than their correspondents. In terms of mammalian injury, dog bites showed the highest risk ( ER=2.71%, 95% CI: 2.12%-3.30%). In terms of non-mammalian,snake injuries were highly influenced by temperature ( ER=16.74%, 95% CI: 11.33%-22.40%). Conclusions:The ambient temperature rises could increase the risk of animal injury with much higher risk for non-mammalian than that for mammalian injuries. Our findings suggest that global warming may increase the risk and disease burden from animal injuries.

Objective:To assess the association between temperature and risk of animal injury, and identifying vulnerable populations.Methods:Based on a time-stratified case-crossover design, the number of animal injuries monitored in hospitals of Guangdong Provincial Injury Surveillance System in 2011 and 2015-2016 was included, and the daily meteorological data were derived from the fifth generation of European ReAnalysis-Land, which was produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression combined with a distributed lagged nonlinear model was applied to analyze the association of temperature and animal-specific injuries. We also conducted stratified analysis by region, sex, age, occupation, and location of injury occurrence.Results:There was an almost linear relationship between temperature and the occurrence of animal injury. The excess risk ( ER) of animal injury was 2.65% (95% CI: 2.27%-3.04%) for a 1 ℃ rise in temperature with much higher risk of occurrence ( ER=9.34%, 95% CI: 7.57%-11.13%) for non-mammalian injury than that for mammalian injuries ( ER=2.30%, 95% CI: 1.90%-2.70%). Stratified analysis revealed that the occurrence of animal injury was more susceptible to temperature influences in urban ( ER=2.78%, 95% CI: 2.35%-3.21%), female ( ER=2.71%, 95% CI: 2.16%-3.27%), the elderly aged 60 years and above ( ER=3.05%, 95% CI: 1.65%- 4.47%), farmer ( ER=4.66%, 95% CI: 3.03%-6.32%) and agricultural area ( ER=10.63%, 95% CI: 7.57%-13.79%) than their correspondents. In terms of mammalian injury, dog bites showed the highest risk ( ER=2.71%, 95% CI: 2.12%-3.30%). In terms of non-mammalian,snake injuries were highly influenced by temperature ( ER=16.74%, 95% CI: 11.33%-22.40%). Conclusions:The ambient temperature rises could increase the risk of animal injury with much higher risk for non-mammalian than that for mammalian injuries. Our findings suggest that global warming may increase the risk and disease burden from animal injuries.

With global climate change, the frequency and intensity of extreme weather events have increased, and the possibility of multiple extreme weather events occurring simultaneously or continuously forming compound extreme events has also significantly increased, bringing catastrophic damage to the ecological environment, socio-economic and human health. This study reviewed the changing trends and health risks of consecutive compound heavy precipitation and heatwave extremes. There is currently no unified definition for these types of events, which could be divided into two subcategories: heavy precipitation-heatwave and heatwave-heavy precipitation. Their historical frequency and intensity have increased, and future estimates are also on the rise. The majority of current studies on single extreme events such as heatwaves or heavy precipitation revealed significant adverse health effects. However, few studies focused on the association between compound events of heavy precipitation and heatwave and human health risk. This paper further summarized the current shortcomings in this field and proposed suggestions for future research directions.

With global climate change, the frequency and intensity of extreme weather events have increased, and the possibility of multiple extreme weather events occurring simultaneously or continuously forming compound extreme events has also significantly increased, bringing catastrophic damage to the ecological environment, socio-economic and human health. This study reviewed the changing trends and health risks of consecutive compound heavy precipitation and heatwave extremes. There is currently no unified definition for these types of events, which could be divided into two subcategories: heavy precipitation-heatwave and heatwave-heavy precipitation. Their historical frequency and intensity have increased, and future estimates are also on the rise. The majority of current studies on single extreme events such as heatwaves or heavy precipitation revealed significant adverse health effects. However, few studies focused on the association between compound events of heavy precipitation and heatwave and human health risk. This paper further summarized the current shortcomings in this field and proposed suggestions for future research directions.

The Sindbis-like virus was first discovered in China in 1986. Its complete genomic sequence consists of more than 11 000 bp encoding more than 3 700 amino acids. It contains a 5' non-transcriptional region (5'-NTR) in a non-structural region, four non-structural proteins (nsP1, nsP2, nsP3, nsP4) regions, capsids in conserved and non-conserved regions and structural E1, E2, E3, 6K regions and a 3' non-transcriptional region (3'-NTR). The Sindbis-IMB was isolated from the blood of a patient suspected to have encephalitis, and was followed by identification and passage. The virus RNA was extracted from virus supernatant in infected cells and the whole genome was divided into 12 fragments; RT-PCR was then performed to amplify the 12 fragments for complete sequencing. The results showed that the whole genomic sequence of Sindbis-IMB consists of 11 717 bp encoding 3 773 amino acids. Homology comparison with other Sindbis-like isolates demonstrated the highest similarity was the YN87448 with a variation of 1% strain isolated in Yunnan Province and the second highest to the SAAR86 strain with a variation of～1.2%.The nucleotide sequence variations were present in non-structural regions, resulting in amino acids K, E, N, R, H, and L in protein sequences in positions 230, 231, 443,781, 1 582, and 1746 in the new isolation respectively. Furthermore, three additional amino acids--glutamic acid, serine and alanine--were noted in nsp4 terminus as compared to the YN87448 isolate.