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関連する概念動画

Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Rous Sarcoma Virus (RSV) and Cancer01:03

Rous Sarcoma Virus (RSV) and Cancer

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Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand  RNA genome. Its genome consists of four main open...
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Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

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SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
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Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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関連する実験動画

Updated: Aug 4, 2025

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
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Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

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すべてのSARS-CoV-2データを直ちに共有する

Maria D Van Kerkhove1

  • 1Maria D. Van Kerkhove is the COVID-19 Technical Lead and the Emerging Diseases and Zoonoses Lead in the Department of Epidemic and Pandemic Preparedness and Prevention, Health Emergencies Programme, World Health Organization, Geneva, Switzerland.

Science (New York, N.Y.)
|April 6, 2023
PubMed
まとめ

重症急性呼吸器症候群コロナウイルス2 (SARS-CoV-2) の起源を理解することは,将来のパンデミックを予防するために極めて重要です. 中国からのデータ共有の遅れは 科学的進歩を阻害し 世界的なリスクを高めました

科学分野:

  • ウイルス学
  • 流行病学について
  • 公衆衛生

背景:

  • 2019年12月に中国武漢で重症急性呼吸器症候群コロナウイルス2 (SARS-CoV-2) の出現は,その起源に関する世界的な科学的調査を促した.
  • 何百万ものCOVID-19の死者にもかかわらず,ウイルスの出現を理解することは,政治化とデータ開示の遅延によって妨げられています.

研究 の 目的:

  • COVID-19 パンデミックの起源を理解する上で透明なデータ共有の必要性を強調する.
  • 科学的進歩とグローバルな安全に対するデータ公開の遅延の悪影響を強調する.

主な方法:

  • SARS-CoV-2 の起源に関するイベントのタイムラインとデータの可用性に関するレビュー.
  • パンデミック研究における科学調査と政治的要因の相互作用の分析

主要な成果:

  • 2020年1月に最初に収集された武漢からの重要なウイルスサンプルデータを共有する際に,重大な遅れが発生しました.
  • 数百万人のCOVID-19死亡にもかかわらず,SARS-CoV-2の起源に関する科学的な理解は政治的論争に覆われてきました.

結論:

  • 中国人科学者の間に合わせたデータ開示の欠如は許しがたいものであり,将来の流行を防ぐための世界的な努力を妨げています.

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Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
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Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

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関連する実験動画

Last Updated: Aug 4, 2025

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
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Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2

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Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
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Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

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Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
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Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

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  • パンデミック発生の理解が遅れていることにより,世界的な脆弱性とリスクが増加します.