Ontology highlight
ABSTRACT:
PROVIDER: PRJNA757126 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15570202_1.fastq.gz | Fastqsanger.gz | |||
| SRR15570202_2.fastq.gz | Fastqsanger.gz |
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Project description:Gastric cancer is one of the most common malignant tumors. Asia has a high incidence of gastric cancer globally. South Korea, Mongolia, Japan and China are the four countries with the highest incidence of gastric cancer in the world. Gansu province in China has the estimated age-standardized incidence rates and mortality rates by Chinese standard population of 62.34/100,000 and 36.94/100,000, respectively, in 2012, which are much higher than the average level of China (22.06/100,000 and 15.16/100,000) in the same year. As a high incidence area of gastric cancer in China, Wuwei city in Gansu province has the prevalence of gastric cancer almost 5 times higher than the average level nationwide. In this study, the cancer tissues and matched adjacent normal mucosa tissues of 5 patients with early gastric cancers who were treated with ESD in Gansu Wuwei Tumor Hospital and the First Hospital of Lanzhou University were collected. All of the patients are from Gansu, China. MicroRNA array was used to find the differences in microRNAs expression profile between the early gastric cancer tissues and the para-cancer normal tissues. It is expected to explore the reasons of the abnormal high incidence of gastric cancer in Gansu Province, China, from the aspect of microRNAs expression profile characteristics.
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Project description:Background: In December 2019, an outbreak of coronavirus disease (later named as COVID-19) was identified in Wuhan, China and, later on, detected in other parts of China. Our aim is to evaluate the effectiveness of the evolution of interventions and self-protection measures, estimate the risk of partial lifting control measures and predict the epidemic trend of the virus in the mainland of China excluding Hubei province based on the published data and a novel mathematical model.
Methods: A novel COVID-19 transmission dynamic model incorporating the intervention measures implemented in China is proposed. COVID-19 daily data of the mainland of China excluding Hubei province, including the cumulative confirmed cases, the cumulative deaths, newly confirmed cases and the cumulative recovered cases between 20 January and 3 March 2020, were archived from the National Health Commission of China (NHCC). We parameterize the model by using the Markov Chain Monte Carlo (MCMC) method and estimate the control reproduction number (Rc), as well as the effective daily reproduction ratio- Re(t), of the disease transmission in the mainland of China excluding Hubei province.
Results: The estimation outcomes indicate that Rc is 3.36 (95% CI: 3.20-3.64) and Re(t) has dropped below 1 since 31 January 2020, which implies that the containment strategies implemented by the Chinese government in the mainland of China are indeed effective and magnificently suppressed COVID-19 transmission. Moreover, our results show that relieving personal protection too early may lead to a prolonged disease transmission period and more people would be infected, and may even cause a second wave of epidemic or outbreaks. By calculating the effective reproduction ratio, we prove that the contact rate should be kept at least less than 30% of the normal level by April, 2020.
Conclusions: To ensure the pandemic ending rapidly, it is necessary to maintain the current integrated restrict interventions and self-protection measures, including travel restriction, quarantine of entry, contact tracing followed by quarantine and isolation and reduction of contact, like wearing masks, keeping social distance, etc. People should be fully aware of the real-time epidemic situation and keep sufficient personal protection until April. If all the above conditions are met, the outbreak is expected to be ended by April in the mainland of China apart from Hubei province.
2024-09-02 | BIOMD0000000981 | BioModels