Automatic Extraction of Epidemic-Related Sites in COVID-19 Media Reports of Webpages Based on Conditional Random Field Model

Journal Title: Journal of Clinical Immunology & Microbiology - Year 2020, Vol 1, Issue 1

Abstract

Background: Since the outbreak of the COVID-19 in Wuhan, China, in early December 2019, the Chinese government has formed a mode of information disclosure. More than 400 cities have announced specific location information for newly diagnosed cases of novel coronavirus pneumonia, including residential areas or places of stay. We have established a conditional random field model and a rule-dependent model based on Chinese geographical name elements. Taking Guangdong province as an example, the identification of named entities and the automatic extraction of epidemic-related sites are carried out. This method will help locate the spread of the epidemic, prevent and control the spread of the epidemic and gain more time for vaccine clinical trials. Methods: Based on the presentation form of the habitual place or place of stay of the diagnosed cases in the text of the web page, a conditional random field model is established, and a ruledependent model is established according to the combination rule of the elements of the place words and the place name dictionary composed of provinces, cities and administrative regions. Findings: The results of the analysis based on the conditional random field model and the ruledependent model show that the location of confirmed cases of new coronavirus pneumonia in Guangdong Province in mid-February is mainly concentrated in Guangzhou, Shenzhen, Zhuhai and Shantou cities. In Guangzhou, Futian district has more epidemic sites and Huangpu and Conghua district has fewer epidemic sites. Government officials in Guangzhou City should pay attention to Futian District. Interpretation: Governments at all levels in Guangzhou Province have intervened to control the epidemic through various means in mid-February. According to the results of the model analysis, we believe that the administrative regions with more diagnosed locations should focus on and take measures such as blockades and control of personnel flow to control the disease in those administrative regions to avoid affecting other adjacent administrative regions.

Authors and Affiliations

Kuiyun Huang, Jinming Cao, Bin Zhao*

Keywords

Related Articles

Immuno-epidemiology and Transmission Characteristics of SARS-CoV-2: A Perspective Investigation

Coronaviruses propagate efficiently within the heterogeneous population of humans to disperse infections. For Severe Acute Respiratory Syndrome Coronavirus-2 the determination of the heterogeneity of individual infecti...

Antibiotic Profile of Biofilm Producing Coagulase Negative Staphylococci Isolated from Various Clinical Specimens

Introduction: CoNS which are normal commensal of skin and mucous membranes of human, when presented with an opportunity, are known to cause infections. The most common species among the group are the S. epidermidis. Prod...

Night Meals to Pay Bills: An Immunological Innovation

This objective of this policy opinion article was to address a perspective if chrono-eating can help prevent immunodeficiency diseases by optimizing circadian rhythms of nutrient assimilation and metabolism. In the moder...

Molecular Characterization of Hepatitis B Virus among HIV Positive and HIV Negative Pregnant Antenatal Women in Federal Capital Territory Abuja Hospital

A significant contributor to chronic hepatitis, cirrhosis and hepatocellular carcinoma is the Hepatitis B Virus (HBV). Hepatitis B Virus (HBV) is a major cause of Chronic Hepatitis, cirrhosis and Hepatocellular Cancer (H...

Candidemia: A Hospital Based Study in Haematological Patients in Adult Population of Northern India

Background: Candidemia has become a common cause of fungal infection in bloodstream infection throughout the world. In hematological malignancies, patients have high rate of morbidity and mortality due to Candidemia. Obj...

Download PDF file
  • EP ID EP699077
  • DOI http://dx.doi.org/10.46889/JCIM.2020.1104
  • Views 118
  • Downloads 0

How To Cite

Kuiyun Huang, Jinming Cao, Bin Zhao* (2020). Automatic Extraction of Epidemic-Related Sites in COVID-19 Media Reports of Webpages Based on Conditional Random Field Model. Journal of Clinical Immunology & Microbiology, 1(1), -. https://europub.co.uk./articles/-A-699077