Quantification of the severity of an outbreak in human infection control
| Autor: | Yue Ying Chen, Ying Xue Sun, Jiming Chen, Ji Wang Chen |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Microbiology (medical)
medicine.medical_specialty Streptococcus suis Swine Nipah virus Decision Making macromolecular substances medicine.disease_cause Severe Acute Respiratory Syndrome Article Severity Disease Outbreaks Influenza A Virus H1N1 Subtype Streptococcal Infections Quantification Pandemic Influenza Human medicine Influenza A virus Disease Transmission Infectious Infection control Animals Humans Henipavirus Infections Infection Control Infectious disease business.industry Public health Nipah Virus Outbreak Influenza a General Medicine Infectious Diseases Infectious disease (medical specialty) Emergency medicine Immunology business Epidemiologic Methods |
| Zdroj: | International Journal of Infectious Diseases |
| ISSN: | 1201-9712 |
| DOI: | 10.1016/j.ijid.2009.09.010 |
| Popis: | Summary Background The severity of an outbreak is a priority in decision-making for human infection control. However, there have been no reports on how to quantify the severity of an outbreak. Methods We propose a simple method to measure the severity of an infectious disease outbreak. It involves scoring the severity of clinical signs, the transmission of the infection, the number of cases, and the infection source. Results The method was evaluated using the data available at the early stage of some recent outbreaks of infectious diseases, including the influenza A (H1N1) pandemic in 2009, and the evaluation supports the design idea. Conclusion The method is practical for rating the severity of an infectious disease outbreak, though it should be optimized. It could also be used to judge whether an event constitutes a public health emergency of international concern (PHEIC) or not. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|