scholarly journals Global landscape of SARS-CoV-2 genomic surveillance, public availability extent of genomic data, and epidemic shaped by variants

Author(s):  
Hongjie Yu ◽  
Zhiyuan Chen ◽  
Andrew Azman ◽  
Xinhua Chen ◽  
Junyi Zou ◽  
...  

Abstract Genomic surveillance has shaped our understanding of SARS-CoV-2 variants, which have proliferated globally in 2021.We collected country-specific data on SARS-CoV-2 genomic surveillance, sequencing capabilities, public genomic data from multiple public repositories, and aggregated publicly available variant data. Then, different proxies were used to estimate the sequencing coverage and public availability extent of genomic data, in addition to describing the global dissemination of variants. We found that the COVID-19 global epidemic clearly featured increasing circulation of Alpha since the start of 2021, which was rapidly replaced by the Delta variant starting around May 2021. SARS-CoV-2 genomic surveillance and sequencing availability varied markedly across countries, with 63 countries performing routine genomic surveillance and 79 countries with high availability of SARS-CoV-2 sequencing. We also observed a marked heterogeneity of sequenced coverage across regions and countries. Across different variants, 21-46% of countries with explicit reporting on variants shared less than half of their variant sequences in public repositories. Our findings indicated an urgent need to expand sequencing capacity of virus isolates, enhance the sharing of sequences, the standardization of metadata files, and supportive networks for countries with no sequencing capability.

2021 ◽  
Author(s):  
Zhiyuan Chen ◽  
Andrew S. Azman ◽  
Xinhua Chen ◽  
Junyi Zou ◽  
Yuyang Tian ◽  
...  

AbstractBackgroundGenomic surveillance has shaped our understanding of SARS-CoV-2 variants, which have proliferated globally in 2021. Characterizing global genomic surveillance, sequencing coverage, the extent of publicly available genomic data coupled with traditional epidemiologic data can provide evidence to inform SARS-CoV-2 surveillance and control strategies.MethodsWe collected country-specific data on SARS-CoV-2 genomic surveillance, sequencing capabilities, public genomic data, and aggregated publicly available variant data. We divided countries into three levels of genomic surveillance and sequencing availability based on predefined criteria. We downloaded the merged and deduplicated SARS-CoV-2 sequences from multiple public repositories, and used different proxies to estimate the sequencing coverage and public availability extent of genomic data, in addition to describing the global dissemination of variants.FindingsSince the start of 2021, the COVID-19 global epidemic clearly featured increasing circulation of Alpha, which was rapidly replaced by the Delta variant starting around May 2021 and reaching a global prevalence of 96.6% at the end of July 2021. SARS-CoV-2 genomic surveillance and sequencing availability varied markedly across countries, with 63 countries performing routine genomic surveillance and 79 countries with high availability of SARS-CoV-2 sequencing. Less than 3.5% of confirmed SARS-CoV-2 infections were sequenced globally since September 2020, with the lowest sequencing coverage in the WHO regions of Eastern Mediterranean, South East Asia, and Africa. Across different variants, 28-52% of countries with explicit reporting on variants shared less than half of their variant sequences in public repositories. More than 60% of demographic and 95% of clinical data were absent in GISAID metadata accompanying sequences.InterpretationOur findings indicated an urgent need to expand sequencing capacity of virus isolates, enhance the sharing of sequences, the standardization of metadata files, and supportive networks for countries with no sequencing capability.Research in contextEvidence before this studyOn September 3, 2021, we searched PubMed for articles in any language published after January 1, 2020, using the following search terms: (“COVID-19” OR “SARS-CoV-2”) AND (“Global” OR “Region”) AND (“genomic surveillance” OR “sequencing” OR “spread”). Among 43 papers identified, few papers discussed the global diversity in genomic surveillance, sequencing, public availability of genomic data, as well as the global spread of SARS-CoV-2 variants. A paper from Furuse employed the publicly GISAID data to evaluate the SARS-CoV-2 sequencing effort by country from the perspectives of “fraction”, “timeliness”, and “openness”. Another viewpoint paper by Case Western Reserve University’s team discussed the impediments of genomic surveillance in several countries during the COVID-19 pandemic. The paper as reported by Campbell and colleagues used the GISAID data to present the global spread and estimated transmissibility of recently emerged SARS-CoV-2 variants. We also found several studies that reported the country-level genomic surveillance and spread of variants. To our knowledge, no research has quantitatively depicted the global SARS-CoV-2 genomic surveillance, sequencing ability, and public availability extent of genomic data.Added value of this studyThis study collected country-specific data on SARS-CoV-2 genomic surveillance, sequencing capabilities, public genomic data, and aggregated publicly available variant data as of 20 August 2021. We found that genomic surveillance strategies and sequencing availability is globally diverse. Less than 3.5% of confirmed SARS-CoV-2 infections were sequenced globally since September 2020. Our analysis of publicly deposited SARS-CoV-2 sequences and officially reported number of variants implied that the public availability extent of genomic data is low in some countries, and more than 60% of demographic and 95% of clinical data were absent in GISAID metadata accompanying sequences. We also described the pandemic dynamics shaped by VOCs.Implications of all the available evidenceOur study provides a landscape for global sequencing coverage and public availability extent of sequences, as well as the evidence for rapid spread of SRAS-CoV-2 variants. The pervasive spread of Alpha and Delta variants further highlights the threat of SARS-CoV-2 mutations despite the availability of vaccines in many countries. It raised an urgent need to do more work on defining the ideal sampling schemes for different purposes (e.g., identifying new variants) with an additional call to share these data in public repositories to allow for further rapid scientific discovery.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Cristian Tebé ◽  
Joan Valls ◽  
Pau Satorra ◽  
Aurelio Tobías

Abstract Background Data analysis and visualization is an essential tool for exploring and communicating findings in medical research, especially in epidemiological surveillance. Results Data on COVID-19 diagnosed cases and mortality, from January 1st, 2020, onwards is collected automatically from the European Centre for Disease Prevention and Control (ECDC). We have developed a Shiny application for data visualization and analysis of several indicators to follow the SARS-CoV-2 epidemic using ECDC data. A country-specific tool for basic epidemiological surveillance, in an interactive and user-friendly manner. The available analyses cover time trends and projections, attack rate, population fatality rate, case fatality rate, and basic reproduction number. Conclusions The COVID19-World online web application systematically produces daily updated country-specific data visualization and analysis of the SARS-CoV-2 epidemic worldwide. The application may help for a better understanding of the SARS-CoV-2 epidemic worldwide.


Author(s):  
Carla Mavian ◽  
Simone Marini ◽  
Mattia Prosperi ◽  
Marco Salemi

AbstractThe SARS-CoV-2 pandemic has been growing exponentially, affecting nearly 900 thousand people and causing enormous distress to economies and societies worldwide. A plethora of analyses based on viral sequences has already been published, in scientific journals as well as through non-peer reviewed channels, to investigate SARS-CoV-2 genetic heterogeneity and spatiotemporal dissemination. We examined full genome sequences currently available to assess the presence of sufficient information for reliable phylogenetic and phylogeographic studies in countries with the highest toll of confirmed cases. Although number of-available full-genomes is growing daily, and the full dataset contains sufficient phylogenetic information that would allow reliable inference of phylogenetic relationships, country-specific SARS-CoV-2 datasets still present severe limitations. Studies assessing within country spread or transmission clusters should be considered preliminary at best, or hypothesis generating. Hence the need for continuing concerted efforts to increase number and quality of the sequences required for robust tracing of the epidemic.Significance StatementAlthough genome sequences of SARS-CoV-2 are growing daily and contain sufficient phylogenetic information, country-specific data still present severe limitations and should be interpreted with caution.


2020 ◽  
Author(s):  
Dakshitha Wickramasinghe ◽  
Nilanka Wickramasinghe ◽  
Sohan Anjana Kamburugamuwa ◽  
Carukshi Arambepola ◽  
Dharmabandhu N Samarasekera

Abstract Background To investigate the association between parameters indicating immunity from BCG at country level (presence of BCG vaccination policy, BCG coverage, age-specific incidence of tuberculosis(TB)) and the morbidity and mortality of COVID-19. Methods Country-specific data for COVID-19 cases and deaths, demographic details, BCG coverage and policy, age-specific TB incidence and income level were obtained. The crude COVID-19 cases and deaths per 100,000 population were calculated and assessed against the parameters indicating immunity from BCG using linear regression analysis. Results Univariate analysis identified higher income level of a country to be significantly associated with COVID-19 cases (p<0.0001) and deaths (p<0.0001) but not with its case fatality rate. The association between COVID-19 and TB was strongest for TB incidence in patients >65-years (Cases(rs=-0.785,p=0.0001)) and deaths (rs=-0.647,p=0.0001).Multivariate analysis identified the higher income level of a country and not having a universal BCG vaccination policy to affect the COVID-19 cases. The deaths were inversely affected by the presence of BCG vaccination policy and coverage; and positively by the TB incidence in patients >65-years. Conclusion Significant inverse correlations observed between cases and deaths of COVID-19 and BCG related parameters highlights immunity from BCG as a likely explanation for the variation in COVID-19 across countries.


2020 ◽  

This third edition of the landscape analysis of Influenza and Other Respiratory Viruses: Surveillance in the Americas provides regional and country-specific data that is used and valued by forums in the Region and beyond.Data of regional trends include surveillance of severe acute respiratory infection (SARI), influenza-like illness (ILI), influenza vaccine, FluNet/FluID reporting, and participation in WHO’s External Quality Assessment Project (EQAP). The second half of the report presents country-specific data on sociodemographic indicators, surveillance systems, virologic analysis, laboratory capacity, and trends in human-animal interface (HAI). To strengthen the Region’s surveillance abilities, it is important to understand the current capacity of each country and the issues in that country that need attention. Similarly, to assess progress over time, it is necessary to document regional trends. Because several indicators had changed since the last analysis was published, PAHO conducted an extensive survey to collect and compile additional, varied, and detailed data. This report illustrates the complexities in surveillance of influenza and other respiratory viruses and highlights differences in the countries’ preparedness capacities through charts, infographics, tables, and brief narratives.


2020 ◽  
Vol 78 (1) ◽  
Author(s):  
Grant M. A. Wyper ◽  
Ian Grant ◽  
Eilidh Fletcher ◽  
Neil Chalmers ◽  
Gerry McCartney ◽  
...  

AbstractSeverity distributions are a means of summarising the range of health loss suffered to disease which enables estimates of disease occurrence to be paired with disability weights to estimate Years Lost to Disability (YLD) in burden of disease studies. There is a lack of current data exploring severity distributions, which has led to the Global Burden of Disease (GBD) study relying on using the same severity distributions across countries and regions across the world. This is also largely true for some national studies, although there are exceptions. Recent evidence has raised concerns that severity distributions are unlikely to be generalisable as major differences arise when using country-specific data to develop severity distributions. These issues raise uncertainties over interpreting YLD estimates, particularly if they are being used to develop and influence policies and to determine priorities across diseases and populations. It is clear that GBD researchers and those carrying out national studies need to work towards ensuring that estimates are based upon country-specific data, and, if possible, that the impact of assumptions are fully tested and understood. There is a lack of strategy about if, where, and how, this could be achieved, particularly around how efforts should be prioritised. This commentary advocates and presents a possible strategic approach to better understanding how efforts may be best placed.


2014 ◽  
Vol 19 (36) ◽  
Author(s):  
H Nishiura ◽  
G Chowell

The effective reproduction number, Rt, of Ebola virus disease was estimated using country-specific data reported from Guinea, Liberia and Sierra Leone to the World Health Organization from March to August, 2014. Rt for the three countries lies consistently above 1.0 since June 2014. Country-specific Rt for Liberia and Sierra Leone have lied between 1.0 and 2.0. Rt<2 indicate that control could be attained by preventing over half of the secondary transmissions per primary case.


Author(s):  
Navonil Mustafee ◽  
Korina Katsaliaki ◽  
Thibaut Le Forsonney ◽  
Saikou Diallio

The Journal of Defense Modeling and Simulation (JDMS) publishes peer-reviewed articles in modeling and simulation (M&S) in the application area of military and defense. We profile literature published in JDMS from 2012 to 2016. Over 150 contributed and special issue papers appeared in a total of 20 issues of the journal during this period. Our analysis includes the contribution of the authors and their respective universities/departments using measures such as total papers published, count of unique authors in an institution, and authors with the most number of publications; it recognizes the geographical diversity of the authors’ affiliations by presenting country-specific data. The analysis takes into account the contribution made by researchers, practitioners and military personnel and their relative seniority. We identify the most cited papers and present an aggregate analysis of contribution by research field. We also identify the top funding sources that are acknowledged by the authors. Our findings show the predominance of US in research related to defense M&S. This includes the US-based affiliation of a significant proportion of JDMS authors and the concentration of US-specific bodies that fund defense-related research.


2018 ◽  
Vol 2 (334) ◽  
Author(s):  
Dariusz Cezary Kotlewski ◽  
Mirosław Błażej

The aim of the article is to demonstrate how the KLEMS economic productivity accounts for Poland have been performed. The main research problem was to find solutions to certain country‑specific data insufficiencies. On this basis, a hypothesis was put forward that by using some innovative but acceptable missing data assessment techniques, it is possible to supply sufficient data for Poland for the mentioned accounts. After an overview of KLEMS economic productivity accounts and the relevant fundamental methodology, the article presents further how specific data problems that have arisen have been solved.  


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