Diagnostic Testing for Zika: Observing Rapid Translation During a Public Health Emergency

Kurani, Shaheen; Theel, Elitza S.; Greenberg, Alexandra J.

doi:10.1111/cts.12529

Cited by 10 publications

(2 citation statements)

References 6 publications

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“…From the perspective of social governance innovation, there are problems such as the increase in the number of public welfare social organizations, the increase in space, and the low transparency, as well as the imbalance of coverage in the social field, and the problems of survival and development [12]. In response to existing questions, Mascarenhas et al build a government cooperation platform, performance evaluation methods, public welfare social organizations, and management systems to ensure the healthy and orderly development of social organizations [13][14][15]. e main innovations of this article are as follows:…”

Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence to Social Governance Capabilities under Public Health Emergencies

Shan

2021

Mathematical Problems in Engineering

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Due to the high complexity, high destructive power, and comprehensive governance characteristics of public health emergencies, the ability of social governance has been distorted and alienated under intensive pressure, and the subjects of social governance have become lazy, professional, and politicized. There are obvious problems, such as system information leakage and information asymmetry. Based on the above background, the purpose of this article is to study the application of artificial intelligence to social governance capabilities under public health emergencies. This article focuses on the relevant concepts and content of emergency management of public health emergencies and in-depth analysis of the actual application of big data technology in epidemic traceability and prediction, medical diagnosis and vaccine research and development, people’s livelihood services, and government advice and suggestions, combined with investigations. The questionnaire analysis sorted out the problems in the social emergency management of public health emergencies in China. The results showed that 87.7% of the people simply sorted out laws and regulations and higher-level documents or even repeated content and lacked summary and reflection on emergency response experience, which led to the operability of emergency plans being generally even poor. In response to the shortcomings, countermeasures and suggestions were put forward, including establishing a standard data collection mechanism, establishing a data sharing mechanism, establishing a personal privacy security protection mechanism, and promoting the breadth and depth of big data applications.

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Section: Introductionmentioning

confidence: 99%

Application of Artificial Intelligence to Social Governance Capabilities under Public Health Emergencies

Shan

2021

Mathematical Problems in Engineering

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“…Another contemporary example of reverse translation is the recent quest for expedited Zika virus diagnostics during the 2015–2016 viral outbreak, a state of public health emergency declared by the World Health Organization and the United States Department of Health and Human Services, as outlined by Kurani et al . In their commentary, the authors describe how public need pushed forward the development of diagnostics and therapeutics necessary to combat the Zika virus, whereas acknowledging the systems in place that helped facilitate the rapid translation of in vitro diagnostics (e.g., Emergency Use Authorization from the US Food and Drug Administration (FDA)) and the lessons learned from this translational experience during a public health crisis.…”

Section: Patient‐driven Rapid Translationmentioning

confidence: 99%