For more information on the wastewater surveillance program refer to the Queensland Health wastewater surveillance program results webpage: https://www.qld.gov.au/health/conditions/health-alerts/coronavirus-covid-19/current-status/wastewater or contact Queensland Health’s Water Unit at waterquality@health.qld.gov.au;Results from Queensland's wastewater surveillance program for SARS-CoV-2 (Q1 2021)<br/>Results from Queensland's wastewater surveillance for SARS-CoV-2 in 2020<br/>

Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. Most people with COVID-19 experience mild to moderate symptoms and recover without the need for special treatments. The SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) plays a crucial role in the viral life cycle, and as the active site of the RdRp is the most conserved and accessible region, targeting this region for inhibition of viral replication may be an effective therapeutic approach. Scientists worldwide have proposed the use of preexisting drugs against the novel coronavirus. However, the efficacy of these drugs is somewhat limited. Others reported repurposing the use of existing antiviral agents in order to reduce time and cost compared to de novo drug discovery. For this reason, in this study has been selected a series of ligands used as SARS-CoV-2 virus inhibitors such as: Abacavir, Acyclovir, Amprenavir, Ascorbic acid Vitamin C, Azithromycin, Baloxavir, Boceprevir, Cholecalciferol Vitamin D, Cidofovir, Edoxudine, Emtricitabine, Hydroxychoroquine, Remdesivir. These ligands were analyzed using molecular docking, molecular quantum similarity, and chemical reactivity indices defined within Density Funtional Theory framework. These studies allow to identify the main stabilizing interactions using the crystal structure of SARS-CoV-2 RNA-dependent RNA polymerase. The Molecular Quantum Similarity and Chemical reactivity shows new insights of these ligands that can be used in the COVID-19 treatments.

A search was performed on July 10 2020 in the Scopus database, covering the fields by title, abstract, and keywords, using the terms: COVID19, COVID-19, 2019 novel coronavirus, 2019 nCoV, SARS-CoV-2, 2019 new coronavirus, coronavirus disease 2019 and Wuhan coronavirus. All types of documents were considered. We obtained 26,705 documents, which were used to analyze the productivity, visibility, collaboration, and impact of the publications, in order to offer a clearer insight into the state of research, to know the entities with the greatest contribution to this field, and determine the most relevant studies from a scientometric point of view.

A search was performed on July 10 2020 in the Scopus database, covering the fields by title, abstract, and keywords, using the terms: COVID19, COVID-19, 2019 novel coronavirus, 2019 nCoV, SARS-CoV-2, 2019 new coronavirus, coronavirus disease 2019 and Wuhan coronavirus. All types of documents were considered. We obtained 26,705 documents, which were used to analyze the productivity, visibility, collaboration, and impact of the publications, in order to offer a clearer insight into the state of research, to know the entities with the greatest contribution to this field, and determine the most relevant studies from a scientometric point of view.

A search was performed on July 10 2020 in the Scopus database, covering the fields by title, abstract, and keywords, using the terms: COVID19, COVID-19, 2019 novel coronavirus, 2019 nCoV, SARS-CoV-2, 2019 new coronavirus, coronavirus disease 2019 and Wuhan coronavirus. All types of documents were considered. We obtained 26,705 documents, which were used to analyze the productivity, visibility, collaboration, and impact of the publications, in order to offer a clearer insight into the state of research, to know the entities with the greatest contribution to this field, and determine the most relevant studies from a scientometric point of view.

A reference genome in FASTA format is provided for SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2 isolate Wuhan-Hu-1, complete genome, having the accession ID of NC_045512.2. This file was obtained from NCBI within this Galaxy history: https://usegalaxy.org/u/dan/h/nc0455122-from-ncbi

A coronavirus identified in 2019, SARS-CoV-2, has caused a respiratory illness pandemic called COVID-19. Most people with COVID-19 experience moderate to mild symptoms and do not need special treatments to recover. The SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) has a crucial part in the virus cycle. The active site of the RdRp is a highly accessible area, so focusing on this region to investigate the inhibition of viral replication is an effective therapeutic strategy. The use of pre-existing drugs for the new coronavirus has been proposed by scientists around the world. However, its effectiveness is relatively limited. Other researchers have described the use of available antiviral compounds to reduce the cost and time of new drug development. Therefore, a number of ligands used as SARS-CoV-2 inhibitors have been selected in this study, such as: Darunavir (Daru), Dolutegravir (Dolu), Dexamethasona (Dexame), Ganciclovir (Gan), Fosamprenavir (Fosam), Lopinavir (Lop), Insoine (Inso), Tipranavir (Tipra) and Ritonavir (Rito). These ligands have been analysed by molecular docking and molecular quantum similarity, using several similarity indices such as Coulomb, overlap and Euclidean distances. The results have been supported by chemical reactivity indices defined in the conceptual-density functional theory framework. The main stabilising interactions in the crystal structure of the SARS-CoV-2 RNA-dependent RNA polymerase have been identified in this study. In this sense, this study contributes new insights about these ligands that can be used in the development of new COVID-19 treatments.

Conspiracy theories have flourished about the origins of a novel coronavirus (SARS-CoV-2) that causes an acute respiratory syndrome (coronavirus disease 2019 [COVID-19]) in humans. This article reports the results from a study that evaluates the impact of exposure to framed messages about the origins of COVID-19. We tested four hypotheses: two focusing on its origins as either zoonotic or human-engineered and two concerning the impacts of origin beliefs on the desire to penalize China or support increased funding for biomedical research. The results accentuate the importance of finding ways to combat the spread of misinformation and conspiracy theories related to this global pandemic.

SARS-CoV-2, the causative agent of COVID-19, is widespread in several countries around the world following its late 2019 emergence in humans. We determined the SARS-CoV-2 selectome by calculating rates of pervasive and episodic diversifying selection for every amino acid coding position in the SARS-CoV-2 genome.

Datasets in this publication report the number of diagnoses with coronavirus disease (COVID-19) as reported by the Department of Health in Ireland. This includes new cases diagnosed per day and cumulative cases, as well as cases across age groups. The latter also include population estimates by age group for 2019 from Ireland's Central Statistics Office, in order to express cases per million population.

For the files YYYYMMDD_covid_ie_age_groups.csv, variable descriptions are as follows:

• age_group: Age groups, in years
• cases: Total cases of COVID-19 diagnosed in Ireland by age group, as per the Department of Health 
• pop_estimate: National population estimates by age group for 2019  in Ireland, as per the Central Statistics Office (Table 7 https://www.cso.ie/en/releasesandpublications/er/pme/populationandmigrationestimatesapril2019/), expressed in thousands.
• cases_per_million: Cases of COVID-19 diagnosed in Ireland by age group, expressed per 1 million individuals

For the files YYYYMMDD_covid_ie_daily_cases, variable descriptions are as follows:

• date: Date, in DD-MM-YYYY format
• daily_cases: New cases of COVID-19 diagnosed per day in Ireland, as per the Department of Health (https://www.gov.ie/en/news/7e0924-latest-updates-on-covid-19-coronavirus/)
• cumulative_cases: Cumulative number of COVID-19 cases in Ireland
• percent_daily_increase: New cases of COVID-19 diagnosed per day in Ireland as a percentage of cumulative number of cases up to that date.