- Infectious Diseases of Asian Seabass and Health Management

2020 ◽  
Author(s):  
Ruiling Dong ◽  
Jianan He ◽  
Jie Sun ◽  
Xin Shi ◽  
Ying Ye ◽  
...  

BACKGROUND Obtaining comprehensive epidemic information for the targeted global infection disease is crucial for travel health. However, different infectious disease information websites may have various purposes which may lead misunderstanding for travelers and travel health staff for the accurate epidemic control and managmement. OBJECTIVE Developed A Global Infectious Diseases Epidemic Information Monitoring System (GIDEIMS),in order to get comprehensive and timely global epidemic information. METHODS Distributed web crawler and cloud agent acceleration technology are used to automatically collect epidemic information for more than 200 infectious diseases from 26 established epidemic websites and Baidu news. Natural language processing and in-depth learning technology have been developed to intelligently process epidemic information collected in 28 languages. Currently, the GIDEIMS presents world epidemic information using a geographical map, including date, disease name and reported cases of different countries , epidemic situations in China, etc. RESULTS In order to make a practical assessment of the GIDEIMS, on July 16, 2019, We checked infectious disease data collected from GIDEIMS and other websites. Compared with the Global Incident Map and Outbreak News Today, GIDEIMS provided more comprehensive information on human infectious diseases. GIDEIMS is currently used in the Health Quarantine Department of Shenzhen Customs District (Shenzhen, China), and is recommended to the Health Quarantine Administrative Department of the General Administration of Customs (China) and travel health-related departments. CONCLUSIONS GIDEIMS provides a helpful tool for travelers and travel health management staff with travel health management.


Author(s):  
Li-Chien Chien ◽  
Christian K. Beÿ ◽  
Kristi L. Koenig

ABSTRACT The authors describe Taiwan’s successful strategy in achieving control of coronavirus disease (COVID-19) without economic shutdown, despite the prediction that millions of infections would be imported from travelers returning from Chinese New Year celebrations in Mainland China in early 2020. As of September 2, 2020, Taiwan reports 489 cases, 7 deaths, and no locally acquired COVID-19 cases for the last 135 days (greater than 4 months) in its population of over 23.8 million people. Taiwan created quasi population immunity through the application of established public health principles. These non-pharmaceutical interventions, including public masking and social distancing, coupled with early and aggressive identification, isolation, and contact tracing to inhibit local transmission, represent a model for optimal public health management of COVID-19 and future emerging infectious diseases.


Ecography ◽  
2018 ◽  
Vol 41 (9) ◽  
pp. 1411-1427 ◽  
Author(s):  
Kris A. Murray ◽  
Jesús Olivero ◽  
Benjamin Roche ◽  
Sonia Tiedt ◽  
Jean-Francois Guégan

2005 ◽  
Vol 04 (03) ◽  
pp. C03
Author(s):  
Indira Nath

The world is facing an unprecedented situation in health management as fast transport and travel lead to spread of diseases at a rate that has not been seen before and into countries that had once conquered them. This is even more evident with infectious diseases which do not respect geopolitical barriers or economic progress. It is becoming increasingly clear that control of such diseases and good practices for public health need global sharing of knowledge and international cooperation. In addition networking of institutions involved in health care with the communities that they serve is fundamental to containing diseases and promoting good health. For reasons as yet unclear even non infectious diseases such as obesity, hypertension and diabetes are also increasing at an alarming rate globally. The advantages of international networking and timely communication which contained three diseases will be discussed in this article.


Author(s):  
Karpurika Raychaudhuri ◽  
Pradeep Ray

Privacy is a major issue in information management for public health needs. For example, the surveillance of infectious diseases, such as HIV, is an important function of public health and it presents major privacy concerns for affected people. While their privacy must be protected, privacy concerns should not come in the way of effective data collection and surveillance. In this paper, the authors present a survey of published work covering privacy challenges in the use of eHealth systems, especially in the context of public health management. The authors identify and present the major privacy challenges, their effects on personal patient privacy and public health management based on the review of research in electronic data privacy and eHealth privacy. The authors also present a survey of privacy-preserving technologies and solutions that address these challenges.


2019 ◽  
Vol 6 (3) ◽  
pp. 181577 ◽  
Author(s):  
Nick H. Ogden ◽  
John R. U. Wilson ◽  
David M. Richardson ◽  
Cang Hui ◽  
Sarah J. Davies ◽  
...  

The study and management of emerging infectious diseases (EIDs) and of biological invasions both address the ecology of human-associated biological phenomena in a rapidly changing world. However, the two fields work mostly in parallel rather than in concert. This review explores how the general phenomenon of an organism rapidly increasing in range or abundance is caused, highlights the similarities and differences between research on EIDs and invasions, and discusses shared management insights and approaches. EIDs can arise by: (i) crossing geographical barriers due to human-mediated dispersal, (ii) crossing compatibility barriers due to evolution, and (iii) lifting of environmental barriers due to environmental change. All these processes can be implicated in biological invasions, but only the first defines them. Research on EIDs is embedded within the One Health concept—the notion that human, animal and ecosystem health are interrelated and that holistic approaches encompassing all three components are needed to respond to threats to human well-being. We argue that for sustainable development, biological invasions should be explicitly considered within One Health. Management goals for the fields are the same, and direct collaborations between invasion scientists, disease ecologists and epidemiologists on modelling, risk assessment, monitoring and management would be mutually beneficial.


Author(s):  
Karpurika Raychaudhuri ◽  
Pradeep Ray

Privacy is a major issue in information management for public health needs. For example, the surveillance of infectious diseases, such as HIV, is an important function of public health and it presents major privacy concerns for affected people. While their privacy must be protected, privacy concerns should not come in the way of effective data collection and surveillance. In this paper, the authors present a survey of published work covering privacy challenges in the use of eHealth systems, especially in the context of public health management. The authors identify and present the major privacy challenges, their effects on personal patient privacy and public health management based on the review of research in electronic data privacy and eHealth privacy. The authors also present a survey of privacy-preserving technologies and solutions that address these challenges.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252803
Author(s):  
Chuanliang Han ◽  
Meijia Li ◽  
Naem Haihambo ◽  
Yu Cao ◽  
Xixi Zhao

A variety of infectious diseases occur in mainland China every year. Cyclic oscillation is a widespread attribute of most viral human infections. Understanding the outbreak cycle of infectious diseases can be conducive for public health management and disease surveillance. In this study, we collected time-series data for 23 class B notifiable infectious diseases from 2004 to 2020 using public datasets from the National Health Commission of China. Oscillatory properties were explored using power spectrum analysis. We found that the 23 class B diseases from the dataset have obvious oscillatory patterns (seasonal or sporadic), which could be divided into three categories according to their oscillatory power in different frequencies each year. These diseases were found to have different preferred outbreak months and infection selectivity. Diseases that break out in autumn and winter are more selective. Furthermore, we calculated the oscillation power and the average number of infected cases of all 23 diseases in the first eight years (2004 to 2012) and the next eight years (2012 to 2020) since the update of the surveillance system. A strong positive correlation was found between the change of oscillation power and the change in the number of infected cases, which was consistent with the simulation results using a conceptual hybrid model. The establishment of reliable and effective analytical methods contributes to a better understanding of infectious diseases’ oscillation cycle characteristics. Our research has certain guiding significance for the effective prevention and control of class B infectious diseases.


Sign in / Sign up

Export Citation Format

Share Document