|Year : 2020 | Volume
| Issue : 6 | Page : 601
Recommendations for containment of COVID-19
Department of Community Medicine, Dr DY Patil Medical College, Hospital and Research Centre, Dr DY Patil Vidyapeeth, Pune, India; Department of Tropical Medicine, Hainan Medical University, Haikou, China
|Date of Submission||23-Apr-2020|
|Date of Decision||25-Apr-2020|
|Date of Acceptance||03-Jul-2020|
|Date of Web Publication||6-Nov-2020|
Dr. D. Y. Patil University, Pune, Maharashtra
Source of Support: None, Conflict of Interest: None
|How to cite this article:|
Wiwanitkit V. Recommendations for containment of COVID-19. Med J DY Patil Vidyapeeth 2020;13:601
The recommendations of the management of Corona Virus Disease 2019 is an interesting issue in present clinical medicine. Many new guidelines are proposed by several medical associations with a common aim to effective management of patients during crisis. The “Recommendations for affected and unaffected nations amidst the successful containment of Corona Virus Disease 2019 outbreak in China” is an important example. The different recommendations might be set in different settings depending on the local context, but there must be a common recommendation that are applicable for any settings. Different clinical association might set specific recommendations for their members., To set a recommendation, a basic requirement is the consensus among local medical experts to seek for the conclusion on what to do and what is necessary for each specific setting. The steps for the setting of a good recommendation should start from the collection of local data, verification of data, having data analyzed by a team of a local expert, the consensus of ideas, and final conclusion to create an appropriate recommendation.
We might have a different degree on the intensity of methods to manage the outbreak of infection depending on the magnitude of epidemic and infection control ability in different settings. Nevertheless, there are many possible obstacles in the setting of a recommendation. First, the poor surveillance system in some settings might result in incorrect statistics that can further result in an inappropriate plan/recommendation. Second, some settings might have interference from local governmental public health policies. In many poor developing countries, there might be inappropriate law for controlling of unwanted data, such as inability to control of the outbreak, and it is no doubt that there will be no good local recommendation in those settings.
| References|| |
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