Genomic image representation of human coronavirus sequences for COVID-19 detection

Coronavirus (CoV) disease 2019 (COVID-19) is a severe pandemic affecting millions worldwide. Due to its rapid evolution, researchers have been working on developing diagnostic approaches to suppress its spread. This study presents an effective automated approach based on genomic image processing (GIP) techniques to rapidly detect COVID-19, among other human CoV diseases, with high acceptable accuracy. The GIP technique was applied as follows: first, genomic graphical mapping techniques were used to convert the genome sequences into genomic grayscale images. The frequency chaos game representation (FCGR) and single gray-level representation (SGLR) techniques were used in this investigation. Then, several statistical features were obtained from the images to train and test many classifiers, including the k-nearest neighbors (KNN). This study aimed to determine the efficacy of the FCGR (with different orders) and SGLR images for accurately detecting COVID-19, using a dataset containing both partial and complete genome sequences. The results recommended the fourth-order FCGR image as a proper genomic image for extracting statistical features and achieving accurate classification. Furthermore, the results showed that KNN achieved an overall accuracy of 99.39% in detecting COVID-19, among other human CoV diseases, with 99.48% precision, 99.31% sensitivity, 99.47% specificity, 0.99 F1-score, and 0.99 Matthew's correlation coefficient. © 2022 THE AUTHORS

The COVID-19 Pandemic in South Asia: A Comprehensive Review of the Genomic Variations, Epidemiological Features, Diagnosis, Treatment and Preventive Schemes

Background: The purpose of the study was to outline the genomic and epidemiological characteristics of COVID-19 in South Asian countries as well as the diagnosis, treatments, and prevention approaches undertaken by these countries to tackle the COVID-19 pandemic.Methods: We searched electronic databases such as Google Scholar, PubMed, and Scopus as well as various national and international COVID-19 websites, WHO databases, and electronic media. 63 articles were included from databases and 34 articles from various other sources.Results: Scientists observed genomic variations including common mutations in ORF1ab, ORF1a, ORF3a, and S genes, while several unique mutations exist in most isolates from these countries. Demographic analysis showed that the majority of infected individuals were male and younger adults (20e40 years). India had the highest number of deaths and incidents while Afghanistan had the highest fatality rate (4.37%). Various molecular assays including rRT-PCR, antigen and antibody-based assays have been developed and pre-existing treatments have been used to combat the pandemic. Although every country tried to implement imperative preventive measures along with vaccination drives, many of them still face grave repercussions due to impoverished health systems, underdeveloped infrastructures, and improvident government policies.Conclusion: To our knowledge, this is the first review appraising various features of SARS-CoV-2 and COVID-19 that persists in South Asia and strategies undertaken by the countries to tackle the disease. This review will facilitate timely interventions for future novel outbreaks in the region.

Make It Less difficile: Understanding Genetic Evolution and Global Spread of Clostridioides difficile.

Clostridioides difficile is an obligate anaerobic pathogen among the most common causes of healthcare-associated infections. It poses a global threat due to the clinical outcomes of infection and resistance to antibiotics recommended by international guidelines for its eradication. In particular, C. difficile infection can lead to fulminant colitis associated with shock, hypotension, megacolon, and, in severe cases, death. It is therefore of the utmost urgency to fully characterize this pathogen and better understand its spread, in order to reduce infection rates and improve therapy success. This review aims to provide a state-of-the-art overview of the genetic variation of C. difficile, with particular regard to pathogenic genes and the correlation with clinical issues of its infection. We also summarize the current typing techniques and, based on them, the global distribution of the most common ribotypes. Finally, we discuss genomic surveillance actions and new genetic engineering strategies as future perspectives to make it less difficile.

Deciphering the Tangible Spatio-Temporal Spread of a 25-Year Tuberculosis Outbreak Boosted by Social Determinants.

Outbreak strains of Mycobacterium tuberculosis are promising candidates as targets in the search for intrinsic determinants of transmissibility, as they are responsible for many cases with sustained transmission; however, the use of low-resolution typing methods and restricted geographical investigations represent flaws in assessing the success of long-lived outbreak strains. We can now address the nature of outbreak strains by combining large genomic data sets and phylodynamic approaches. We retrospectively sequenced the whole genome of representative samples assigned to an outbreak circulating in the Canary Islands (the GC strain) since 1993, which accounts for ~20% of local tuberculosis cases. We selected a panel of specific single nucleotide polymorphism (SNP) markers for an in-silico search for additional outbreak-related sequences within publicly available tuberculosis genomic data. Using this information, we inferred the origin, spread, and epidemiological parameters of the GC strain. Our approach allowed us to accurately trace the historical and more recent dispersion of the GC strain. We provide evidence of a highly successful nature within the Canarian archipelago but limited expansion abroad. Estimation of epidemiological parameters from genomic data disagree with a distinctive biology of the GC strain. With the increasing availability of genomic data allowing for the accurate inference of strain spread and critical epidemiological parameters, we can now revisit the link between Mycobacterium tuberculosis genotypes and transmission, as is routinely carried out for SARS-CoV-2 variants of concern. We demonstrate that social determinants rather than intrinsically higher bacterial transmissibility better explain the success of the GC strain. Importantly, our approach can be used to trace and characterize strains of interest worldwide. IMPORTANCE Infectious disease outbreaks represent a significant problem for public health. Tracing outbreak expansion and understanding the main factors behind emergence and persistence remain critical to effective disease control. Our study allows researchers and public health authorities to use Whole-Genome Sequencing-based methods to trace outbreaks, and shows how available epidemiological information helps to evaluate the factors underpinning outbreak persistence. Taking advantage of all the freely available information placed in public repositories, researchers can accurately establish the expansion of an outbreak beyond original boundaries, and determine the potential risk of a strain to inform health authorities which, in turn, can define target strategies to mitigate expansion and persistence. Finally, we show the need to evaluate strain transmissibility in different geographic contexts to unequivocally associate spread to local or pathogenic factors, an important lesson taken from genomic surveillance of SARS-CoV-2.

Whole-genome resequencing reveals genetic diversity, differentiation, and selection signatures of yak breeds/populations in Qinghai, China.

The Qinghai Province of China is located in the northeast region of the Qinghai-Tibetan Plateau (QTP) and carries abundant yak genetic resources. Previous investigations of archaeological records, mitochondrial DNA, and Y chromosomal markers have suggested that Qinghai was the major center of yak domestication. In the present study, we examined the genomic diversity, differentiation, and selection signatures of 113 Qinghai yak, including 42 newly sequenced Qinghai yak and 71 publicly available individuals, from nine yak breeds/populations (wild, Datong, Huanhu, Xueduo, Yushu, Qilian, Geermu, Tongde, and Huzhu white) using high-depth whole-genome resequencing data. We observed that most of Qinghai yak breeds/populations have abundant genomic diversity based on four genomic parameters (nucleotide diversity, inbreeding coefficients, linkage disequilibrium decay, and runs of homozygosity). Population genetic structure analysis showed that Qinghai yak have two lineages with two ancestral origins and that nine yak breeds/populations are clustered into three distinct groups of wild yak, Geermu yak, and seven other domestic yak breeds/populations. F ST values showed moderate genetic differentiation between wild yak, Geermu yak, and the other Qinghai yak breeds/populations. Positive selection signals were detected in candidate genes associated with disease resistance (CDK2AP2, PLEC, and CYB5B), heat stress (NFAT5, HSF1, and SLC25A48), pigmentation (MCAM, RNF26, and BOP1), vision (C1QTNF5, MFRP, and TAX1BP3), milk quality (OPLAH and GRINA), neurodevelopment (SUSD4, INSYN1, and PPP1CA), and meat quality (ZRANB1), using the integrated PI, composite likelihood ratio (CLR), and F ST methods. These findings offer new insights into the genetic mechanisms underlying target traits in yak and provide important information for understanding the genomic characteristics of yak breeds/populations in Qinghai.

Rise and fall of SARS-CoV-2 variants in Rotterdam: Comparison of wastewater and clinical surveillance.

Monitoring of SARS-CoV-2 in wastewater (WW) is a promising tool for epidemiological surveillance, correlating not only viral RNA levels with the infection dynamics within the population, but also to viral diversity. However, the complex mixture of viral lineages in WW samples makes tracking of specific variants or lineages circulating in the population a challenging task. We sequenced sewage samples of 9 WW-catchment areas within the city of Rotterdam, used specific signature mutations from individual SARS-CoV-2 lineages to estimate their relative abundances in WW and compared them against those observed in clinical genomic surveillance of infected individuals between September 2020 and December 2021. We showed that especially for dominant lineages, the median of the frequencies of signature mutations coincides with the occurrence of those lineages in Rotterdam's clinical genomic surveillance. This, along with digital droplet RT-PCR targeting signature mutations of specific variants of concern (VOCs), showed that several VOCs emerged, became dominant and were replaced by the next VOC in Rotterdam at different time points during the study. In addition, single nucleotide variant (SNV) analysis provided evidence that spatio-temporal clusters can also be discerned from WW samples. We were able to detect specific SNVs in sewage, including one resulting in the Q183H amino acid change in the Spike gene, that was not captured by clinical genomic surveillance. Our results highlight the potential use of WW samples for genomic surveillance, increasing the set of epidemiological tools to monitor SARS-CoV-2 diversity.

Public health interventions successfully mitigated multiple incursions of SARS-CoV-2 Delta variant in the Australian Capital Territory.

The COVID-19 pandemic has presented a unique opportunity to understand how real-time pathogen genomics can be used for large-scale outbreak investigations. On 12 August 2021, the Australian Capital Territory (ACT) detected an incursion of the SARS-CoV-2 Delta (B.1.617.2) variant. Prior to this date, SARS-CoV-2 had been eliminated locally since 7 July 2020. Several public health interventions were rapidly implemented in response to the incursion, including a territory-wide lockdown and comprehensive contact tracing. The ACT has not previously used pathogen genomics at a population level in an outbreak response; therefore, this incursion also presented an opportunity to investigate the utility of genomic sequencing to support contact tracing efforts in the ACT. Sequencing of >75% of the 1793 laboratory-confirmed cases during the 3 months following the initial notification identified at least 13 independent incursions with onwards spread in the community. Stratification of cases by genomic cluster revealed that distinct cohorts were affected by the different incursions. Two incursions resulted in most of the community transmission during the study period, with persistent transmission in vulnerable sections of the community. Ultimately, both major incursions were successfully mitigated through public health interventions, including COVID-19 vaccines. The high rates of SARS-CoV-2 sequencing in the ACT and the relatively small population size facilitated detailed investigations of the patterns of virus transmission, revealing insights beyond those gathered from traditional contact tracing alone. Genomic sequencing was critical to disentangling complex transmission chains to target interventions appropriately.

Dynamics of Early Establishment of SARS-CoV-2 VOC Omicron Lineages in Minas Gerais, Brazil.

Brazil is one of the nations most affected by Coronavirus disease 2019 (COVID-19). The introduction and establishment of new virus variants can be related to an increase in cases and fatalities. The emergence of Omicron, the most modified SARS-CoV-2 variant, caused alarm for the public health of Brazil. In this study, we examined the effects of the Omicron introduction in Minas Gerais (MG), the second-most populous state of Brazil. A total of 430 Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) samples from November 2021 to June 2022 from Belo Horizonte (BH) city were sequenced. These newly sequenced genomes comprise 72% of all previously available SARS-CoV-2 genomes for the city. Evolutionary analysis of novel viral genomes reveals that a great diversity of Omicron sublineages have circulated in BH, a pattern in-keeping with observations across Brazil more generally. Bayesian phylogeographic reconstructions indicate that this diversity is a product of a large number of international and national importations. As observed previously, São Paulo state is shown as a significant hub for viral spread throughout the country, contributing to around 70% of all viral Omicron introductions detected in MG.

Updated analysis to reject the laboratory-engineering hypothesis of SARS-CoV-2.

A clear understanding of the origin of SARS-CoV-2 is important for future pandemic preparedness. Here, I provided an updated analysis of the type IIS endonuclease maps in genomes of alphacoronavirus, betacoronavirus, and SARS-CoV-2. Scenarios to engineer SARS-CoV-2 in the laboratory and the associated workload was also discussed. The analysis clearly shows that the endonuclease fingerprint does not indicate a synthetic origin of SARS-CoV-2 and engineering a SARS-CoV-2 virus in the laboratory is extremely challenging both scientifically and financially. On the contrary, current scientific evidence does support the animal origin of SARS-CoV-2.

Incidental Findings in Study Participants: What Is the Researcher's Obligation?

BACKGROUND: As technology advances and genomic testing becomes commonplace, incidental findings, or the discovery of unrelated results, have increased. The American College of Genetics and Genomics (ACMG) established recommendations for the return of pathologic variants in 78 genes in the clinical setting based on medically actionable conditions from genes linked with preventable or treatable diseases. However, the lack of policy in the research setting poses a serious ethical dilemma for researchers, potentially threatening the participant's trust and willingness to contribute to a process with more significant risk than benefit. PURPOSE: Our goal was to determine the preferred ethical approach to handling incidental research findings and suggest a new standard for investigators and participants. METHODS: By employing Wueste's IAJD Framework of ethical evaluation, the current research policy, as well as a proposed policy, were analyzed, and then a policy analysis was employed to ascertain feasibility. RESULTS AND DISCUSSION: The current policy of leaving the decision of returning incidental findings up to the researcher's discretion is an ethical failure from the consequential, deontological, and intellectual freedom perspectives. However, the proposed policy of implementing the ACMG guidance for researchers to satisfy ethical demands reinforces its moral fortitude. In a period of increasing public awareness, the community, which is the prospective research pool, has increased demands for autonomy and less paternalistic behavior from medicine and science. This paper synthesizes recommendations by numerous organizations to establish a mutually beneficial policy that will ensure the U.S. Department of Health and Human Services (HHS) goal, stated in the 2014 Joint Rule, of making participants "partners" in research a reality.

Lessons learned: use of WGS in real-time investigation of suspected intrahospital SARS-CoV-2 outbreaks.

BACKGROUND: Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been a continuing source of hospital-acquired infection and outbreaks. At Akershus University Hospital in Norway, traditional contact tracing has been combined with whole-genome sequencing (WGS) surveillance in real-time to investigate potential hospital outbreaks. AIM: To describe the advantages and challenges encountered when using WGS as a real-time tool in hospital outbreak investigation and surveillance during the SARS-CoV-2 pandemic. METHODS: Routine contact tracing in the hospital was performed for all healthcare workers (HCWs) who tested positive for SARS-CoV-2. Viral RNA from all positive patient and HCW samples was sequenced in real-time using nanopore sequencing and the ARTIC Network protocol. Suspected outbreaks involving five or more individuals with viral sequences were described. FINDINGS: Nine outbreaks were suspected based on contact tracing, and one outbreak was suspected based on WGS results. Five outbreaks were confirmed; of these, two outbreaks were supported but could not be confirmed by WGS with high confidence, one outbreak was found to consist of two different lineages, and two outbreaks were refuted. CONCLUSIONS: WGS is a valuable tool in hospital outbreak investigations when combined with traditional contact tracing. Inclusion of WGS data improved outbreak demarcation, identified unknown transmission chains, and highlighted weaknesses in existing infection control measures.

Status of the SARS-CoV-2 Mutant Virus (Delta, Omicron) outbreak in Chungcheongnamdo, Korea in Early 2022.

As the coronavirus disease 2019 (COVID-19) spread worldwide, variants viruses are constantly emerging. And there has been a growing interest in the study of variant viruses, for the necessity of response to emergence and diffusion of new coronavirus variants. So, we conducted a survey of variant proportions of SARS-CoV-2 on positive samples of confirmed cases by Real-time Polymerase Chain Reaction (Real-time PCR). From December 26, 2021 to April 2, 2022, a total of 819 SARS-CoV-2 variants of concern (VOCs) were identified in COVID-19 positive samples. In the 2nd week of January 2022, detection rate of the Omicron subvariant BA.1 was 58.1%, overtaking Delta variant to become dominant type. However, in the 5th week of March, detection rate of another Omicron subvariant BA.2 was 75.9%, became dominant variant. These results imply that BA.1 was a dominant variant for two months and after that, omicron BA.1 was rapidly replaced by omicron BA.2. This research is valuable because it provided information which is helpful to response diffusion of new variants. Compared to Delta variant, a large number of mutations in the spike gene(S) of Omicron variant were detected. It raises concerns about changes in pathogenicity and transmissibility in new COVID variants. Therefore, we should develop new strategies against emergence and diffusion of SARS-CoV-2 variants throughout monitoring appearance of the new variants, analyzing the characteristics of new things. In this respect, the results of this research are useful because they offered good basic data for appreciating characteristics of new COVID variants by monitoring the emergence of Delta and Omicron variant. Copyright © 2022 Journal of Bacteriology and Virology.

Age-related changes in the immune system and the consequences of immunosenescence

The cellular and molecular hallmarks of aging include genomic instability, telomere attrition, epigenetic alterations, changes in intracellular signaling, cellular senescence, and mitochondrial dysfunction. These lead to complex remodeling and changes involving both the innate and adaptive immune systems. Besides age related changes in immune cells, the microenvironment in the lymphoid and non-lymphoid organs, as well as circulating factors interacting with the immune system also contribute to immunosenescence. Overall, immunosenescence is characterized by reduction of immune response, an increase in inflammatory and oxidation background (inflamm-aging), and production of autoantibodies. One of the most prominent age-related changes in the adaptive immune system is the decline in regenerative thymic capacity. Similar aging related defects have also been observed in stroma of the bone marrow. While lymphocytes in infants show a naive phenotype, memory phenotype predominates after midlife. Though immune responses against recall antigens may still be conserved, the ability to mount primary response against novel antigens declines with age. As a result, increased susceptibility to infections, and suboptimal vaccine response is observed in the elderly. Apart from functional alternation in immune cells, there is a low-grade persistent elevation in inflammatory molecules. Inflamm-aging may result from the accumulation of misfold proteins, compromised gut barrier function, chronic infection, obesity, etc. Furthermore, aging is associated with immune dysregulation, with defective resolution of immune response after activation, and impaired clearance of dead cells with sustained inflammation. Excessive inflammation not only impairs antigen specific immunity, but also leads to tissue damage. In fact, this may partly account for the increased mortality of COVID infection in the elderly. Apart from vulnerability to infection and weakened vaccine response, immunosenescence also plays an important role in cancer and autoimmunity in the elderly. Because of increased tissue damage and apoptosis, coupled with inflamm-aging, increased autoantibodies production is observed in the elderly. Nevertheless, there is an age-related increase in peripheral regulatory T cells. While there is an increase in autoimmunity with aging, this does not always translate into an increase in autoimmune disease. On the other hand, the increase in regulatory T cells, along with other immunosuppressive cells and the senescence associated proinflammatory environment, promotes tumor development and progression in the elderly. As immunosenescence has a significant impact on health and disease, better understanding on this process is crucial for research and development in the future geriatric health care.

Combined epidemiology and genetic sequencing surveillance in the era of COVID-19 pandemic; Abu Dhabi experience, United Arab Emirates.

BACKGROUND: United Arab Emirates, has reported the first case of COVID-19 in January 2020 and by October 2022, a total of 1 Million cases and 2348 deaths due to COVID-19 have been reported. The Abu Dhabi Public Health Center, has led a novel initiative to conduct a large scale genomic surveillance project. The aim of this surveillance project is to generate data to guide public health pandemic response decision making. METHODS: Samples mainly from the community, points of entry to the emirate and healthcare facilities were collected for surveillance using both targeted PCR and/or Genome sequence analysis. Sample criteria were defined and specific metadata were collected in parallel. Using the unique identifiers and through the available datasets, epidemiological and clinical data were integrated. RESULTS: A total of 385,191 sample undertake analysis (from January 2021 to October 2022) either genotyping and/or sequence analysis. The most frequently encountered lineages in the community and among severe cases were reported. CONCLUSIONS: Genomic surveillance is a major tool essential for guiding public health measures throughout the pandemic.

Global SARS-CoV-2 genomic surveillance: What we have learned (so far).

The COVID-19 pandemic has brought significant challenges for genomic surveillance strategies in public health systems worldwide. During the past thirty-four months, many countries faced several epidemic waves of SARS-CoV-2 infections, driven mainly by the emergence and spread of novel variants. In that line, genomic surveillance has been a crucial toolkit to study the real-time SARS-CoV-2 evolution, for the assessment and optimization of novel diagnostic assays, and to improve the efficacy of existing vaccines. During the pandemic, the identification of emerging lineages carrying lineage-specific mutations (particularly those in the Receptor Binding domain) showed how these mutations might significantly impact viral transmissibility, protection from reinfection and vaccination. So far, an unprecedented number of SARS-CoV-2 viral genomes has been released in public databases (i.e., GISAID, and NCBI), achieving 14 million genome sequences available as of early-November 2022. In the present review, we summarise the global landscape of SARS-CoV-2 during the first thirty-four months of viral circulation and evolution. It demonstrates the urgency and importance of sustained investment in genomic surveillance strategies to timely identify the emergence of any potential viral pathogen or associated variants, which in turn is key to epidemic and pandemic preparedness.

Experimental and computational methods for studying the dynamics of RNA-RNA interactions in SARS-COV2 genomes.

Long-range ribonucleic acid (RNA)-RNA interactions (RRI) are prevalent in positive-strand RNA viruses, including Beta-coronaviruses, and these take part in regulatory roles, including the regulation of sub-genomic RNA production rates. Crosslinking of interacting RNAs and short read-based deep sequencing of resulting RNA-RNA hybrids have shown that these long-range structures exist in severe acute respiratory syndrome coronavirus (SARS-CoV)-2 on both genomic and sub-genomic levels and in dynamic topologies. Furthermore, co-evolution of coronaviruses with their hosts is navigated by genetic variations made possible by its large genome, high recombination frequency and a high mutation rate. SARS-CoV-2's mutations are known to occur spontaneously during replication, and thousands of aggregate mutations have been reported since the emergence of the virus. Although many long-range RRIs have been experimentally identified using high-throughput methods for the wild-type SARS-CoV-2 strain, evolutionary trajectory of these RRIs across variants, impact of mutations on RRIs and interaction of SARS-CoV-2 RNAs with the host have been largely open questions in the field. In this review, we summarize recent computational tools and experimental methods that have been enabling the mapping of RRIs in viral genomes, with a specific focus on SARS-CoV-2. We also present available informatics resources to navigate the RRI maps and shed light on the impact of mutations on the RRI space in viral genomes. Investigating the evolution of long-range RNA interactions and that of virus-host interactions can contribute to the understanding of new and emerging variants as well as aid in developing improved RNA therapeutics critical for combating future outbreaks.

Whole Genome Sequencing of SARS-CoV-2 in Cats and Dogs in South Korea in 2021.

SARS-CoV-2 infections have caused unprecedented damage worldwide by affecting humans and various animals. The first reported animal infection was observed in a pet dog in Hong Kong in March 2020. 36 countries reported 692 SARS-CoV-2 infections in 25 different animal species by 31 August 2022. Most outbreaks were caused by contact with SARS-CoV-2 infected humans. In South Korea, the first SARS-CoV-2 infection in an animal was reported in a cat in February 2021. As of 31 December 2021, 74 dogs and 42 cats have been confirmed to have SARS-CoV-2 in South Korea. Here, we identified various SARS-CoV-2 genomic lineages in SARS-CoV-2 confirmed cats and dogs. Among the 40 animal samples sequenced for lineage identification, a total of eight Pango lineages (B.1.1.7 (Alpha variant), B.1.429 (Epsilon variant), B.1.470, B.1.497, B.1.619.1, B.1.620, AY.69 (Delta variant), and AY.122.5 (Delta variant)) were identified. The dominant lineages were AY.69 (Delta variant; 37.5%), B.1.497 (35.0%), and B.1.619.1 (12.5%). This study provides the first reported cases of six lineages (B.1.470, B.1.497, B.1.620, B.1.619.1, AY.69 (Delta variant)), and AY.122.5 (Delta variant) in cats and dogs. Our results emphasize the importance of monitoring SARS-CoV-2 in pets because they are dynamic hosts of variant Pango lineages of SARS-CoV-2.

The DataHarmonizer: a tool for faster data harmonization, validation, aggregation and analysis of pathogen genomics contextual information.

Pathogen genomics is a critical tool for public health surveillance, infection control, outbreak investigations as well as research. In order to make use of pathogen genomics data, they must be interpreted using contextual data (metadata). Contextual data include sample metadata, laboratory methods, patient demographics, clinical outcomes and epidemiological information. However, the variability in how contextual information is captured by different authorities and how it is encoded in different databases poses challenges for data interpretation, integration and their use/re-use. The DataHarmonizer is a template-driven spreadsheet application for harmonizing, validating and transforming genomics contextual data into submission-ready formats for public or private repositories. The tool's web browser-based JavaScript environment enables validation and its offline functionality and local installation increases data security. The DataHarmonizer was developed to address the data sharing needs that arose during the COVID-19 pandemic, and was used by members of the Canadian COVID Genomics Network (CanCOGeN) to harmonize SARS-CoV-2 contextual data for national surveillance and for public repository submission. In order to support coordination of international surveillance efforts, we have partnered with the Public Health Alliance for Genomic Epidemiology to also provide a template conforming to its SARS-CoV-2 contextual data specification for use worldwide. Templates are also being developed for One Health and foodborne pathogens. Overall, the DataHarmonizer tool improves the effectiveness and fidelity of contextual data capture as well as its subsequent usability. Harmonization of contextual information across authorities, platforms and systems globally improves interoperability and reusability of data for concerted public health and research initiatives to fight the current pandemic and future public health emergencies. While initially developed for the COVID-19 pandemic, its expansion to other data management applications and pathogens is already underway.

Approaching COVID-19 with epidemiological genomic surveillance and the sustainability of biodiversity informatics in Africa.

COVID-19 is an acute respiratory illness caused by Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2). The first case was reported in Africa on February 14, 2020 and has surged to 11 million as of July 2022, with 43% and 30% of cases in Southern and Northern Africa. Current epidemiological data demonstrate heterogeneity in transmission and patient outcomes in Africa. However, the burden of infectious diseases such as malaria creates a significant burden on public health resources that are dedicated to COVID-19 surveillance, testing, and vaccination access. Several control measures, such as the SHEF2 model, encompassed Africa's most effective preventive measure. With the help of international collaborations and partnerships, Africa's pandemic preparedness employs effective risk-management strategies to monitor patients at home and build the financial capacity and human resources needed to combat COVID-19 transmission. However, the lack of safe sanitation and inaccessible drinking water, coupled with the financial consequences of lockdowns, makes it challenging to prevent the transmission and contraction of COVID-19. The overwhelming burden on contact tracers due to an already strained healthcare system will hurt epidemiological tracing and swift counter-measures. With the rise in variants, African countries must adopt genomic surveillance and prioritize funding for biodiversity informatics.

Early detection of SARS-CoV-2 variants using traveler-based genomic surveillance at four US airports, September 2021- January 2022.

We enrolled arriving international air travelers in SARS-CoV-2 genomic surveillance, using molecular testing of pooled nasal swabs, and sequencing positive samples for viral sublineage. Traveler-based genomic surveillance provided early warning variant detection; we reported the first U.S. Omicron BA.2 and first BA.3 in North America, weeks before next reported detection.