Jiake Chen
Dados Biográficos
| ID | 7771237 |
|---|---|
| NOME | Jiake Chen |
| PRENOMES | Jiake |
| SOBRENOME | Chen |
| ASSINATURA | CHEN J |
| AFILIAÇÕES | Fujian Medical University |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2023 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 0 |
The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workers
Temperature discomfort significantly undermined labor productivity in the petrochemical sector, and this impact may worsen in a warming climate if adaptation and prevention measures are insufficient. To effectively reduce heat-related productivity loss, there is a need to strengthen occupational health training and implement strict controls for occupational hazards, minimizing the potential combined effects of heat with other exposures
Epidemiological characteristics of overseas imported Covid-19 cases into China
Previous studies investigating the characteristics of imported cases were mostly limited to a certain province/city or a specific sub-group during a certain period with a small sample size, which may not provide an overall picture of the characteristics of imported cases. In this scoping literature review, we comprehensively synthesized the epidemiological characteristics of overseas imported COVID-19 cases into China by retrieving six literature…
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Epidemiological characteristics of overseas imported Covid-19 cases into China
Previous studies investigating the characteristics of imported cases were mostly limited to a certain province/city or a specific sub-group during a certain period with a small sample size, which may not provide an overall picture of the characteristics of imported cases. In this scoping literature review, we comprehensively synthesized the epidemiological characteristics of overseas imported COVID-19 cases into China by retrieving six literature…
The use of machine and deep learning to model the relationship between discomfort temperature and labor productivity loss among petrochemical workers
Temperature discomfort significantly undermined labor productivity in the petrochemical sector, and this impact may worsen in a warming climate if adaptation and prevention measures are insufficient. To effectively reduce heat-related productivity loss, there is a need to strengthen occupational health training and implement strict controls for occupational hazards, minimizing the potential combined effects of heat with other exposures
Environmental health (2 obras) · Medicine (2 obras) · Air Quality and Health Impacts (1 obras) · Asymptomatic (1 obras) · Biostatistics (1 obras) · China (1 obras) · Climate Change and Health Impacts (1 obras) · COVID-19 epidemiological studies (1 obras) · Disease (1 obras) · Economic growth (1 obras)