| Literature DB >> 35093353 |
Xinzi Wang1, Tianyun Wu2, Luis F S Oliveira3, Dayi Zhang4.
Abstract
The pandemic of COVID-19 challenges the global health system and raises our concerns on the next waves of other emerging infectious diseases. Considering the lessons from the failure of world's pandemic warning system against COVID-19, many scientists and politicians have mentioned different strategies to improve global biodefense system, among which Sheet, Surveillance, Strategy, Salvage and Shield (5S) are frequently discussed. Nevertheless, the current focus is mainly on the optimization and management of individual strategy, and there are limited attempts to combine the five strategies as an integral global biodefense system. Sheet represents the biosafety datasheet for biohazards in natural environment and human society, which helps our deeper understanding on the geographical pattern, transmission routes and infection mechanism of pathogens. Online surveillance and prognostication network is an environmental Surveillance tool for monitoring the outbreak of pandemic diseases and alarming the risks to take emergency actions, targeting aerosols, waters, soils and animals. Strategy is policies and legislations for social distancing, lockdown and personal protective equipment to block the spread of infectious diseases in communities. Clinical measures are Salvage on patients by innovating appropriate medicines and therapies. The ultimate defensive Shield is vaccine development to protect healthy crowds from infection. Fighting against COVID-19 and other emerging infectious diseases is a long rocky journey, requiring the common endeavors of scientists and politicians from all countries around the world. 5S in global biodefense system bring a ray of light to the current darkest and future road from environmental and geographical perspectives.Entities:
Keywords: COVID-19; Emerging infectious diseases; Environmental-based epidemiology
Mesh:
Year: 2022 PMID: 35093353 PMCID: PMC8799268 DOI: 10.1016/j.scitotenv.2022.153469
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 10.753
Established databases (Sheet) for pathogens.
| Database name | Target pathogens | Authorities | Link | Reference |
|---|---|---|---|---|
| HDVdb | Hepatitis D virus (HDV) | Department of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München; Institute of Virology, Technische Universität München; Division of Clinical Pharmacology, University Hospital, LMU Munich | ( | |
| 2019 Novel Coronavirus Information Database | SARS-CoV-2 | China National Bioinformatics Center (CNBC) and the National Genome Science Data Center (NGDC) | ( | |
| HIV Sequence Databases | HIV | Los Alamos; | ( | |
| European hepatitis C virus database | euHCVdb | CNRS and Univeresity of Lyon | ( | |
| HFV sequence, immunological data | HFV/Ebola DB | LANL | ( | |
| Influenza sequence database | Influenza virus | NCBI | ( |
Examples of environmental-based epidemiology (EBE) as Surveillance tools for monitoring and prognostication of SARS-CoV-2.
| Environmental media | Location | Details | Performance | Reference |
|---|---|---|---|---|
| Wastewater | University of Arizona (USA) | 650 wastewater samples from 24th August to 20th November, 2020 | Successful establishment of a WBE-surveillance network, identification of infected people and effective prevention/control of the COVID-19 in campus | ( |
| Wastewater | Wastewater treatment plants (Qatar) | 43 samples from 21st June to 30th August 2020 | Monitoring trends in the number of people infected in Qatar, more reliable than RT-qPCR diagnostic tests. | ( |
| Wastewater | Six major urban centers (UK) | Samples from six WWTPs between March and July 2020 | Theoretical basis for epidemic control strategies to control the transmission of SARS-CoV-2. | ( |
| Wastewater | Bangladesh | 16 samples between 10th July and 29th August 2020 | Successful monitoring of SARS-COV-2 by replacing sewer system with urban main drainage system. | ( |
| Wastewater | Southeastern Virginia (USA) | Weekly samples from nine WWTPs from mid-March into late July | Successful method to analyze and present WBE data to compare with clinical results. | ( |
| Wastewater | Australia | 9 samples with a potential detection windows (28 days); between January and April 2020 | Successfully identification of the infected persons at a median range of 171 to 1090 in the catchment. WBE has the potential to provide early warning signals about the extent of its spread in the community. | ( |
| Wastewater | India | Samples were collected from 8 sites between 3rd May 2020 and 14th June 2020. | Successful population-level burden estimates for future outbreaks of SARS-COV-2. | ( |
| Air & Surface | Beijing (China) | Exhaled breath samples had the highest positive rate (26.9%, | Patients exhale a lot of aerosols, which can be used for indoor safety diagnosis in medical institutions. | ( |
| Air & Surface | UK | Sampling of air close to 6 asymptomatic and symptomatic COVID-19 patients with and without surgical masks; 21 cases of frequent contact with environmental surfaces | A significant correlation between viral load range in clinical samples and positive rate in environmental samples ( | ( |