Fangcang shelter hospitals are a One Health approach for responding to the COVID-19 outbreak in Wuhan, China

Wang, Kewei; Gao, Jie; Song, Xiaoxiao; Huang, Jiang; Wang, Hua; Wu, Xiaolong; Yuan, Qingchen; Li, Xiaoshan; Cheng, Feng; Cheng, Yang

doi:10.1016/j.onehlt.2020.100167

Cited by 32 publications

(37 citation statements)

References 23 publications

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“…The ‘None’ state in the COM node accounts for cases without comorbidities ( Table 1 ). Also, the connection of ‘Hospital facilities’ factor to ‘Quarantine facilities’ highlights the relationship among them, as the majority locations which were converted into Quarantine centres were either academic institutions or hospitals ( Wang et al, 2020 ). Similarly, the nodes EDU and HF feeding to node MPT delineates the fact of increased mobilisation when there are good medical and educational facilities available in a given region.…”

Section: Methodsmentioning

confidence: 99%

Detecting SARS-CoV-2 RNA prone clusters in a municipal wastewater network using fuzzy-Bayesian optimization model to facilitate wastewater-based epidemiology

Srinivas

Aggarwal

Singh

2021

Science of The Total Environment

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The current pandemic disease coronavirus (COVID-19) has not only become a worldwide health emergency, but also devoured the global economy. Despite appreciable research, identification of targeted populations for testing and tracking the spread of COVID-19 at a larger scale is an intimidating challenge. There is a need to quickly identify the infected individual or community to check the spread. The diagnostic testing done at large-scale for individuals has limitations as it cannot provide information at a swift pace in large populations, which is pivotal to contain the spread at the early stage of its breakouts. Recently, scientists are exploring the presence of SARS-CoV-2 RNA in the faeces discharged in municipal wastewater. Wastewater sampling could be a potential tool to expedite the early identification of infected communities by detecting the biomarkers from the virus. However, it needs a targeted approach to choose optimized locations for wastewater sampling. The present study proposes a novel fuzzy based Bayesian model to identify targeted populations and optimized locations with a maximum probability of detecting SARS-CoV-2 RNA in wastewater networks. Consequently, real time monitoring of SARS-CoV-2 RNA in wastewater using autosamplers or biosensors could be deployed efficiently. Fourteen criteria such as population density, patients with comorbidity, quarantine and hospital facilities, etc. are analysed using the data of 14 lac individuals infected by COVID-19 in the USA. The uniqueness of the proposed model is its ability to deal with the uncertainty associated with the data and decision maker's opinions using fuzzy logic, which is fused with Bayesian approach. The evidence-based virus detection in wastewater not only facilitates focused testing, but also provides potential communities for vaccine distribution. Consequently, governments can reduce lockdown periods, thereby relieving human stress and boosting economic growth.

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Section: Methodsmentioning

confidence: 99%

Detecting SARS-CoV-2 RNA prone clusters in a municipal wastewater network using fuzzy-Bayesian optimization model to facilitate wastewater-based epidemiology

Srinivas

Aggarwal

Singh

2021

Science of The Total Environment

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“…No country is exception to the predicament mentioned above. The application of One Health analytical framework is not new in China now [ 17 ], as seen by the Fangcang shelter hospitals during the COVID-19 pandemic [ 93 ] as a vivid example. Similar logics have been used in the past to prevent and control the spread of infectious diseases as well as wildlife conservation [ 94 ].…”

Section: How Animal Welfare Is Protected In Courts: Different Types Of Litigation Strategiesmentioning

confidence: 99%

Is One Health a Viable Strategy in Animal Health Litigation: Evidence from Civil Lawsuits in China

Chen

et al. 2021

Animals

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Several litigation strategies are used to gain support from courts in order to protect animals. While the emerging litigation strategy themed in One Health stimulates judicial protection in the animal health sector, little is known about whether and how such strategies are supported by courts. In this article, we investigate how animal welfare litigation strategies influence judge’s choices within their discretion. We argue that litigators equipped with the litigation strategy themed in One Health are placed in an advantageous position in animal health cases, but that this tendency varies markedly across zoonoses. Specifically, we suggest that litigators utilizing One Health’s litigation strategy are associated with higher probabilities to win, whereas normal litigators are not. Further, we propose that litigators equipped with the One Health litigation strategy are awarded more damages from judges. We test and find support for our predictions using a cross sectional dataset of civil lawsuit cases centering on the animal health industry in Chinese mainland. Our findings indicate that courts indeed were persuaded by the One Health litigation strategy, even when bound by the discretion rules. At the same time, we suggest that for advocates who would like to litigate for animal welfare in the animal health sector, the litigation strategy themed in One Health might have potentially positive implications.

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“…In terms of global COVID-19 prevention and control, many areas must construct Disaster Prevention Hospital Buildings using extremely limited resources. e existing medical buildings must also be transformed in terms of design to address new challenges [12][13][14]. From the perspective of comprehensive architectural design and public health, there is a relative lack of literature on medical architectural design elements that reduce the risk of Nosocomial Infection.…”

Section: Introductionmentioning

confidence: 99%

Environmental Design Strategies to Decrease the Risk of Nosocomial Infection in Medical Buildings Using a Hybrid MCDM Model

Xiong

Sheng

Fan

et al. 2021

Journal of Healthcare Engineering

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The prevention and control of nosocomial infection (NI) are becoming increasingly difficult, and its mechanism is becoming increasingly complex. A globally aging population means that an increasing proportion of patients have a susceptible constitution, and the frequent occurrence of severe infectious diseases has also led to an increase in the cost of prevention and control of NI. Medical buildings’ spatial environment design for the prevention of NI has been a hot subject of considerable research, but few previous studies have summarized the design criteria for a medical building environment to control the risk of NI. Thus, there is no suitable evaluation framework to determine whether the spatial environment of a medical building is capable of inhibiting the spread of NI. In the context of the global spread of COVID-19, it is necessary to evaluate the performance of the existing medical building environment in terms of inhibiting the spread of NI and to verify current environmental improvement strategies for the efficient and rational use of resources. This study determines the key design elements for the spatial environment of medical buildings, constructs an evaluation framework using exploratory factor analysis, verifies the complex dominant influence relationship, and prioritizes criteria in the evaluation framework using the decision-making trial and evaluation laboratory- (DEMATEL-) based analytical network process (ANP) (DANP). Using representative real cases, this study uses the technique for order preference by similarity to ideal solution (TOPSIS) to evaluate and analyze the performance with the aspiration level of reducing the NI risk. A continuous and systematic transformation design strategy for these real cases is proposed. The main contributions of this study include the following: (1) it creates a systematic framework that allows hospital decision-makers to evaluate the spatial environment of medical buildings; (2) it provides a reference for making design decisions to improve the current situation using the results of a performance evaluation; (3) it draws an influential network relation map (INRM) and the training of influence weights (IWs) for criteria. The sources of practical problems can be identified by the proposed evaluation framework, and the corresponding strategy can be proposed to avoid the waste of resources for the prevention of epidemics.

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Fangcang shelter hospitals are a One Health approach for responding to the COVID-19 outbreak in Wuhan, China

Cited by 32 publications

References 23 publications

Detecting SARS-CoV-2 RNA prone clusters in a municipal wastewater network using fuzzy-Bayesian optimization model to facilitate wastewater-based epidemiology

Detecting SARS-CoV-2 RNA prone clusters in a municipal wastewater network using fuzzy-Bayesian optimization model to facilitate wastewater-based epidemiology

Is One Health a Viable Strategy in Animal Health Litigation: Evidence from Civil Lawsuits in China

Environmental Design Strategies to Decrease the Risk of Nosocomial Infection in Medical Buildings Using a Hybrid MCDM Model

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