Institution
Chinese Center for Disease Control and Prevention
Government•Beijing, China•
About: Chinese Center for Disease Control and Prevention is a government organization based out in Beijing, China. It is known for research contribution in the topics: Population & Acquired immunodeficiency syndrome (AIDS). The organization has 16037 authors who have published 15098 publications receiving 423452 citations. The organization is also known as: China CDC & CCDC.
Papers published on a yearly basis
Papers
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TL;DR: The present method is simple, rapid and effective and can be used for the analysis of volatile compounds in medicinal plants.
77 citations
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TL;DR: Wang et al. as mentioned in this paper developed a spatiotemporal semi-parametric model using generalized additive mixed models to estimate monthly average PM2.5, PM10 and NO2 from 2014 to 2016 in China.
77 citations
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TL;DR: Public health in China can gradually meet the requirements of social development and the increasing public demand for health care services only when the public health is directed by informatization, globalization, technification, and humanization.
Abstract: In the past 50 years, China has made great achievements in controlling infectious diseases and improving the public's health and hygiene. However, in the twenty-first century, owing to the negative effects brought on by aging of the population and the burdens of diseases, urbanization, industrialization, and globalization, Chinese public health officials are encountering greater difficulties than ever. Old operating models of public health cannot meet present requirements. The main problems are poor capacity to respond to public health emergencies, severe inequality of health care services, and lagging development of public health information systems. Public health in China can gradually meet the requirements of social development and the increasing public demand for health care services only when the public health is directed by informatization, globalization, technification, and humanization.
77 citations
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TL;DR: The first nanomechanical characterization of the most abundant and universal groups of PM2.5 airborne pollutants is presented and it is observed that fluffy soot aggregates are the most sticky and unstable.
Abstract: In 2012 air pollutants were responsible of seven million human death worldwide and among them particulate matter with an aerodynamic diameter of 2.5 micrometers or less (PM2.5) are the most hazardous because they are small enough to invade even the smallest airways and penetrate to the lungs. During the last decade the size, shape, composition, sources and effect of these particles on human health have been studied. However, the noxiousness of these particles not only relies on their chemical toxicity, but particle morphology and mechanical properties affect their thermodynamic behavior, which has notable impact on their biological activity. Therefore, correlating the physical, mechanical and chemical properties of PM2.5 airborne pollutants should be the first step to characterize their interaction with other bodies but, unfortunately, such analysis has never been reported before. In this work, we present the first nanomechanical characterization of the most abundant and universal groups of PM2.5 airborne pollutants and, by means of atomic force microscope (AFM) combined with other characterization tools, we observe that fluffy soot aggregates are the most sticky and unstable. Our experiments demonstrate that such particles show strong adhesiveness and aggregation, leading to a more diverse composition and compiling all possible toxic chemicals.
77 citations
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TL;DR: There were significant age-related differences in blood levels of all metals studied; subjects in the 17-30 age group had higherBlood levels of Mn, Pb, Cu, and Zn, while those in the 46-60 age grouphad higher Cd than the other age groups.
77 citations
Authors
Showing all 16076 results
Name | H-index | Papers | Citations |
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Richard Peto | 183 | 683 | 231434 |
Barry M. Popkin | 157 | 751 | 90453 |
Jian Yang | 142 | 1818 | 111166 |
Edward C. Holmes | 138 | 824 | 85748 |
Jian Li | 133 | 2863 | 87131 |
Shaobin Wang | 126 | 872 | 52463 |
Elaine Holmes | 119 | 560 | 58975 |
Jian Liu | 117 | 2090 | 73156 |
Sherif R. Zaki | 107 | 417 | 40081 |
Jun Yang | 107 | 2090 | 55257 |
Nan Lin | 105 | 687 | 54545 |
Li Chen | 105 | 1732 | 55996 |
Ming Li | 103 | 1669 | 62672 |
George F. Gao | 102 | 793 | 82219 |
Tao Li | 102 | 2483 | 60947 |