Articles: coronavirus.
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Editorial Historical Article
Occupational health responses to COVID-19: What lessons can we learn from SARS?
On 31 December 2019, the World Health Organization (WHO) received reports of pneumonia cases of unknown etiology in the city of Wuhan in Hubei Province, China. The agent responsible was subsequently identified as a coronavirus-SARS-CoV-2. The WHO declared this disease as a Public Health Emergency of International Concern at the end of January 2020. ⋯ Our experiences in coping with the previous coronavirus outbreaks have better equipped us to face the challenges posed by COVID-19, especially in the health care setting. Among the insights gained from the past outbreaks were: outbreaks caused by viruses are hazardous to healthcare workers; the impact of the disease extends beyond the infection; general principles of prevention and control are effective in containing the disease; the disease poses both a public health as well as an occupational health threat; and emerging infectious diseases pose a continuing threat to the world. Given the perspectives gained and lessons learnt from these past events, we should be better prepared to face the current COVID-19 outbreak.
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The global crisis provoked by the SARS-CoV-2 pandemic, and the economic and social consequences associated to the essential policies applied to contain it, necessitates the expedited development of therapeutic solutions. It is a priority to produce data both rapidly and accurately in order to identify current therapies that can be repurposed to offer protection from SARS-CoV-2 infection. ⋯ A systematic data analysis of exposure and infection rates among healthcare workers could yield patterns identifying common protective factors, such as medications with prophylactic potential against SARS-CoV-2, that can be fast-tracked into available therapies. With results suggesting their activity against other coronaviruses and their widespread adoption, Antiretroviral cocktails could be a promising initial target for such large-scale data analysis approach.