Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The SARS-CoV-2 Outbreak: an Epidemiological and Clinical Perspective

ABSTRACT: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak started with the detection of an increasing number of pneumonia cases of unknown origin in Wuhan, China, since December 2019. The disease caused by SAS-CoV-2 was subsequently named coronavirus disease 2019 (COVID-19). Currently, the ongoing COVID-19 pandemic poses a global health concern with more than 28.9 million confirmed cases, taking away the lives of more than 900,000 people worldwide. To prevent further spread of the disease, an understanding of the clinical characteristics and how the disease spread is essential, especially for an emerging disease like COVID-19. Individuals who are infected with SARS-CoV-2 show diverse clinical features, and the disease severity can range from asymptomatic to death. The disease has been shown to affect not just the respiratory system but also other systems of the body. This review will discuss the pulmonary and extra-pulmonary clinical manifestations of COVID-19 in general, as well as the clinical characteristics in different groups of patients such as children, the elderly, pregnant women, patients with comorbidities and those with a compromised immunity. It will also critically examine existing evidence from relevant studies and discuss the SARS-CoV-2 outbreak from an epidemiological perspective. With the easing of control measures in many countries after months of lockdown, it is important to revisit the lessons learnt from research, as the world enters a new normal with the coexistence of SARS-CoV-2.

SUBMITTER: Wong R

PROVIDER: S-EPMC7524027 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

The SARS-CoV-2 outbreak from a one health perspective.

Project description:The severe acute respiratory syndrome cornavirus (SARS-CoV-2) is a new human coronavirus candidate recently detected in China that is now reported in people on inhabited continents. The virus shares a high level of identity with some bat coronaviruses and is recognised as a potentially zoonotic virus. We are utilizing the One Health concept to understand the emergence of the virus, as well as to point to some possible control strategies that might reduce the spread of the virus across the globe; thus, containment of such virus would be possible.

| S-EPMC7102578 | biostudies-literature

SARS-CoV-2 and COVID-19: A genetic, epidemiological, and evolutionary perspective.

Project description:In less than five months, COVID-19 has spread from a small focus in Wuhan, China, to more than 5 million people in almost every country in the world, dominating the concern of most governments and public health systems. The social and political distresses caused by this epidemic will certainly impact our world for a long time to come. Here, we synthesize lessons from a range of scientific perspectives rooted in epidemiology, virology, genetics, ecology and evolutionary biology so as to provide perspective on how this pandemic started, how it is developing, and how best we can stop it.

| S-EPMC7256558 | biostudies-literature

Estimates of early outbreak-specific SARS-CoV-2 epidemiological parameters from genomic data.

Project description:We estimate the basic reproductive number and case counts for 15 distinct Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks, distributed across 11 populations (10 countries and one cruise ship), based solely on phylodynamic analyses of genomic data. Our results indicate that, prior to significant public health interventions, the reproductive numbers for 10 (out of 15) of these outbreaks are similar, with median posterior estimates ranging between 1.4 and 2.8. These estimates provide a view which is complementary to that provided by those based on traditional line listing data. The genomic-based view is arguably less susceptible to biases resulting from differences in testing protocols, testing intensity, and import of cases into the community of interest. In the analyses reported here, the genomic data primarily provide information regarding which samples belong to a particular outbreak. We observe that once these outbreaks are identified, the sampling dates carry the majority of the information regarding the reproductive number. Finally, we provide genome-based estimates of the cumulative number of infections for each outbreak. For 7 out of 11 of the populations studied, the number of confirmed cases is much bigger than the cumulative number of infections estimated from the sequence data, a possible explanation being the presence of unsequenced outbreaks in these populations.

| S-EPMC10786264 | biostudies-literature

Allocating Resources for Cancer Care in Times of the Sars-CoV-2 Outbreak. Health Care Research

Project description:The focus on treatment of COVID19 patients during the Sars-CoV-2 outbreak has most likely implications for the extent and quality of diagnosis and treatment of non-COVID19 patients. Medical care of cancer patients is a particularly sensitive area. To draw holistic conclusions, it is necessary to analyze the provision of healthcare as broadly as possible with regard to the dimensions of access, processes and outcome during the Sars-CoV-2 pandemic. This will be implemented exemplarily for the early detection, diagnosis and treatment of colorectal cancer (CRC) and pancreatic cancer (PaCa) in Saxony. Patients with diagnosis, treatment or early detection measures for type 2 diabetes (T2D), coronary heart disease (CHD) and multiple sclerosis (MS) serve as comparison groups.

| 2743388 | ecrin-mdr-crc

SARS-CoV-2 Outbreak on a Spanish Mink Farm: Epidemiological, Molecular, and Pathological Studies.

Project description:Farmed minks have been reported to be highly susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and may represent a risk to humans. In this study, we describe the first outbreak of SARS-CoV-2 occurred on a mink farm in Spain, between June and July 2020, involving 92,700 animals. The outbreak started shortly after some farm workers became seropositive for SARS-CoV-2. Minks showed no clinical signs compatible with SARS-CoV-2 infection throughout the outbreak. Samples from 98 minks were collected for histopathological, serological, and molecular studies. Twenty out of 98 (20.4%) minks were positive by RT-qPCR and 82 out 92 (89%) seroconverted. This finding may reflect a rapid spread of the virus at the farm with most of the animals overcoming the infection. Additionally, SARS-CoV-2 was detected by RT-qPCR in 30% of brain samples from positive minks. Sequencing analysis showed that the mink sequences were not closely related with the other mink SARS-CoV-2 sequences available, and that this mink outbreak has its probable origin in one of the genetic variants that were prevalent in Spain during the first COVID-19 epidemic wave. Histological studies revealed bronchointerstitial pneumonia in some animals. Immunostaining of viral nucleocapsid was also observed in nasal turbinate tissue. Farmed minks could therefore constitute an important SARS-CoV-2 reservoir, contributing to virus spread among minks and humans. Consequently, continuous surveillance of mink farms is needed.

| S-EPMC8814420 | biostudies-literature

Chikungunya outbreak in Garo Hills, Meghalaya: An epidemiological perspective.

Project description:BACKGROUND & OBJECTIVES:Chikungunya (CHIK) fever is a mosquito-borne disease caused by chikungunya virus (CHIKV). Chikungunya infection was first reported from India in 1963 from Kolkata. We report the serological and molecular evidence of an outbreak of chikungunya in northeast India that occurred in Tura, a hilly and forested terrain in Garo Hills district of Meghalaya. METHODS:Blood samples (3 ml) collected from hospitalized patients during the outbreak were tested for IgM antibodies against CHIKV and followed up four months later. A repeat survey was carried out in the same area after four months from where cases had been reported. Blood samples were also collected from people with history of fever and body ache in the last four months. Persons showing IgM positivity against CHIKV in the repeat survey were followed up one and a half years later. All samples were also processed by RT-PCR assay for CHIK Envelope (E) 1 gene. Immature mosquitoes were collected, link reared and identified with standard keys. Virus incrimination studies were done on Aedes aegypti and Ae. albopictus mosquitoes collected during the survey. RESULTS:Fever, headache and joint pain were the primary clinical presentations. Twenty three (35.93 %) of 64 samples reported during the outbreak were IgM positive for CHIK. Three samples showed PCR amplification. All these were IgM positive. The sequenced E1 gene revealed that the strains belonged to East Central South African (ECSA) genotype. INTERPRETATION & CONCLUSIONS:Field survey done after four months revealed that some individuals still had joint pain associated with episodes of headache and fever. It could be inferred that these persons might have contracted infection during the CHIK outbreak four months ago or during the intervening period which caused persistence of sequelae. ECSA genotype was found to be involved in the outbreak. Aedes albopictus was the predominant mosquito species collected during the outbreak.

| S-EPMC4510757 | biostudies-literature

CancerCOVID - Allocating resources for cancer care in times of the Sars-CoV-2 outbreak. Evidence and ethical implications

Project description:Interventions: Group 1: A qualitative interview study as well as a cross-sectional questionnaire survey is conducted with patients, oncologists and nurses working in the field of oncology (subproject 1). This is complemented by retrospective analysis of quantitative data derived from the registry of colon cancer centres (subproject 2) and data from the statutory health insurance (subproject 3). Primary outcome(s): Aim: Assessment of ethical and psychosocial challenges in cancer care via semi-structured interviews with stakeholders (oncologists, nurses, patients) between January and July 2021. Assessment of psychosocial burden of oncologists, nurses and patients between February and July 2021 via questionnaires. patients: Mini-SCL, EORTC QLQ-C30, NCCN Distress Thermometer, FACT-19 oncologists: PHQ-9, PHQ-15, GAD-7, Maslach Burnout Inventory, Moral Distress Thermometer, FACT-19, sociodemographic questionnaire nurses: PHQ-9, PHQ-15, GAD-7, Maslach Burnout Inventory, Moral Distress Thermometer, FACT-19, BERNCA, sociodemographic questionnaire Study Design: Allocation: ; Masking: ; Control: ; Assignment: ; Study design purpose: other

| 2439669 | ecrin-mdr-crc

SARS-CoV-2 Omicron Variant: Epidemiological Features, Biological Characteristics, and Clinical Significance.

Project description:The SARS-CoV-2 Omicron (B.1.1529) variant was designated as a variant of concern (VOC) by the World Health Organization (WHO) on November 26, 2021. Within two months, it had replaced the Delta variant and had become the dominant circulating variant around the world. The Omicron variant possesses an unprecedented number of mutations, especially in the spike protein, which may be influencing its biological and clinical aspects. Preliminary studies have suggested that increased transmissibility and the reduced protective effects of neutralizing antibodies have contributed to the rapid spread of this variant, posing a significant challenge to control the coronavirus disease 2019 (COVID-19) pandemic. There is, however, a silver lining for this wave of the Omicron variant. A lower risk of hospitalization and mortality has been observed in prevailing countries. Booster vaccination also has ameliorated a significant reduction in neutralization. Antiviral drugs are minimally influenced. Moreover, the functions of Fc-mediated and T-cell immunity have been retained to a great extent, both of which play a key role in preventing severe disease.

| S-EPMC9099228 | biostudies-literature

Structures from "Engineering Neutralizing SARS-CoV Antibodies to Bind SARS-CoV-2"

Project description: Not available

| S-BSST379 | biostudies-other

CLINICAL-EPIDEMIOLOGICAL RELATION BETWEEN SARS-COV-2 AND KAWASAKI DISEASE: AN INTEGRATIVE LITERATURE.

Project description:OBJECTIVE:To analyze the current scientific literature to document, in an integrative review, the main findings that correlate Kawasaki disease (KD) to COVID-19. DATA SOURCES:The search was carried out in June 2020 in the following databases: Biblioteca Virtual em Saúde (BVS), periódico da CAPES and U.S National Library of Medicine (PubMed). The combination of descriptors used was [(COVID-19 OR SARS-CoV-2) AND (Kawasaki disease)], and the inclusion criteria stipulated were studies published from January 2019 to June 2020, without restriction of language or location, and available online in full. News, editorials, comments, and letters, as well as duplicates and articles that did not answer the guiding question were excluded. DATA SYNTHESIS:A total of 97 articles were identified, of which seven comprised this review. The association of KD to the new coronavirus appears to trigger a severe clinical condition of vasculitis. Different from the usual, in this inflammatory syndrome, patients are older, and prevalence is higher in children from African or Caribbean ancestry; clinical and laboratory manifestations are also atypical, with a predominance of abdominal complaints and exaggerated elevation of inflammatory markers. In addition, there was a greater report of rare complications and greater resistance to the recommended treatment for KD. CONCLUSIONS:Pediatric COVID-19 and its potential association to severe KD, still unfamiliar to health professionals, reinforces the importance of testing patients with vasculitis for the new coronavirus and the need to wage high surveillance and preparation of the health system during the current pandemic.

| S-EPMC7461695 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data