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      Public health management during COVID-19 and applications of point-of-care based biomolecular detection approaches

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          Abstract

          The emergence of the novel human coronavirus, characterized as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to a worldwide pandemic. The outbreak of SARS-CoV-2 was first reported at a local wet market in the city of Wuhan in the Hubei province of China at a local wet market. This virus is highly contagious, which gives it the potential for rapid transmission across the world. The transmission of SARS-CoV-2 can be triggered via respiratory droplets in the air from an infected individual to a healthy individual. Thus, to restrict the transmission of the virus, proper public health management and early diagnosis of infected individual is extremely essential. Considering this, the development of various point-of-care (POC) biomolecular assays lead to the importance of early diagnoses at a larger scale during this pandemic situation. Detecting a minimum level of specific target analytes to a particular disease with less instrumentation and minimum reagents, as well as immidiate outcomes, has appeared a challenging path for researchers. Apart from early-stage diagnosis, public awareness is also important to prevent the spread of the virus. Proper intensive care units, isolation rooms, maintaining hygiene, and wearing masks in public areas are necessary. In this chapter, we have discussed the public health management steps and current clinical diagnostics processes and various advanced technology including, molecular, serological, and nanobiosensing approaches for SARS-CoV-2 detection. Furthermore, we have highlighted the various challenges and limitations associated with health management and early diagnostics technologies during SARS-CoV-2 pandemic. Additionally, we have summarized various technical aspects of the development of such POC strategies including biomarkers selections, sensing platforms, unit fabrication, and device incorporation.

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          Most cited references146

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          Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

          Summary Background A recent cluster of pneumonia cases in Wuhan, China, was caused by a novel betacoronavirus, the 2019 novel coronavirus (2019-nCoV). We report the epidemiological, clinical, laboratory, and radiological characteristics and treatment and clinical outcomes of these patients. Methods All patients with suspected 2019-nCoV were admitted to a designated hospital in Wuhan. We prospectively collected and analysed data on patients with laboratory-confirmed 2019-nCoV infection by real-time RT-PCR and next-generation sequencing. Data were obtained with standardised data collection forms shared by WHO and the International Severe Acute Respiratory and Emerging Infection Consortium from electronic medical records. Researchers also directly communicated with patients or their families to ascertain epidemiological and symptom data. Outcomes were also compared between patients who had been admitted to the intensive care unit (ICU) and those who had not. Findings By Jan 2, 2020, 41 admitted hospital patients had been identified as having laboratory-confirmed 2019-nCoV infection. Most of the infected patients were men (30 [73%] of 41); less than half had underlying diseases (13 [32%]), including diabetes (eight [20%]), hypertension (six [15%]), and cardiovascular disease (six [15%]). Median age was 49·0 years (IQR 41·0–58·0). 27 (66%) of 41 patients had been exposed to Huanan seafood market. One family cluster was found. Common symptoms at onset of illness were fever (40 [98%] of 41 patients), cough (31 [76%]), and myalgia or fatigue (18 [44%]); less common symptoms were sputum production (11 [28%] of 39), headache (three [8%] of 38), haemoptysis (two [5%] of 39), and diarrhoea (one [3%] of 38). Dyspnoea developed in 22 (55%) of 40 patients (median time from illness onset to dyspnoea 8·0 days [IQR 5·0–13·0]). 26 (63%) of 41 patients had lymphopenia. All 41 patients had pneumonia with abnormal findings on chest CT. Complications included acute respiratory distress syndrome (12 [29%]), RNAaemia (six [15%]), acute cardiac injury (five [12%]) and secondary infection (four [10%]). 13 (32%) patients were admitted to an ICU and six (15%) died. Compared with non-ICU patients, ICU patients had higher plasma levels of IL2, IL7, IL10, GSCF, IP10, MCP1, MIP1A, and TNFα. Interpretation The 2019-nCoV infection caused clusters of severe respiratory illness similar to severe acute respiratory syndrome coronavirus and was associated with ICU admission and high mortality. Major gaps in our knowledge of the origin, epidemiology, duration of human transmission, and clinical spectrum of disease need fulfilment by future studies. Funding Ministry of Science and Technology, Chinese Academy of Medical Sciences, National Natural Science Foundation of China, and Beijing Municipal Science and Technology Commission.
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            Clinical Characteristics of Coronavirus Disease 2019 in China

            Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
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              A Novel Coronavirus from Patients with Pneumonia in China, 2019

              Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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                Author and article information

                Journal
                Environmental and Health Management of Novel Coronavirus Disease (COVID-19 )
                Environmental and Health Management of Novel Coronavirus Disease (COVID-19 )
                28 June 2021
                2021
                28 June 2021
                : 345-378
                Affiliations
                [1 ]Research School of Electrical, Energy, and Materials Engineering, College of Engineering and Computer Science, Australian National University, ACT, Canberra, Australia
                [2 ]Division of Oncology, School of Medicine, Stanford University, Palo Alto, CA, United States
                Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
                Institute for Environmental Research, Center for Solid Waste Research, Tehran University of Medical Sciences, Tehran, Iran
                Petroleum and Chemical Engineering, Faculty of Engineering, Universiti Teknologi Brunei (UTB), Gadong, Brunei Darussalam
                Division of Oncology, School of Medicine, Stanford University, Palo Alto, CA, United States
                Article
                B978-0-323-85780-2.00009-3
                10.1016/B978-0-323-85780-2.00009-3
                8237533
                db148284-92e1-4bc1-a75a-ba2ca9b8d5d2
                Copyright © 2021 Elsevier Inc. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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                biosensors,covid pandemic,health management,nano-biotechniques,poc diagnostics,sars-cov-2

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