ABSTRACT
In recent years, the increase in antimicrobial resistance (AMR) has been recognized as a real threat to human and animal health. It is a problem that has been given the highest priority, uniting nations in the fight against its causes and effects. Among the actions that have been implemented are: clinical and microbiological surveillance, promotion of rational and controlled use of antibiotics, AMR stewardship programs in hospitals, development of tools for rapid diagnosis of infectious diseases to establish prompt and adequate treatment, and radically improving vaccination strategies. The current COVID-19 pandemic has placed disproportionate demands on the healthcare infrastructure and economy worldwide, which will negatively impact on the availability of materials as well as the technical capacity for diagnosis, patient care, and treatment of both COVID-19 and non-COVID-19 patients. Disruptions to production and distribution chains will hamper the availability and usage of antibiotics, also interrupting several of the activities that have been implemented thus far to combat AMR, including detailed laboratory monitoring and reinforced vaccination programs. Here, we discuss the main aspects that should be considered with regard to AMR, that may be affected by the pandemic and propose some actions to counter them.
Subject(s)
Anti-Bacterial Agents/administration & dosage , COVID-19 Drug Treatment , COVID-19/epidemiology , Drug Resistance, Bacterial , Animals , COVID-19/microbiology , Humans , Pandemics , SARS-CoV-2/isolation & purificationABSTRACT
BACKGROUND: On January 23, 2020, China imposed a quarantine on the city of Wuhan to contain the SARS-CoV-2 outbreak. Regardless of this measure, the new infection has spread to several countries around the world. OBJECTIVE: We developed a method to study the dissemination of this infection by airline routes and provide estimations of the time of arrival of the outbreak to different cities. METHODS: Using the Kermack and McKendrick model complemented with diffusion on a graph composed of nodes and edges, we made an analysis of COVID-19 dispersion to other cities by air travel. RESULTS: The estimation was accurate in that it was possible to predict in the middle of February 2020 the arrival of the first outbreak in Mexico, which eventually occurred between March 20 and 30. This estimation was robust with respect to small changes in epidemiological parameters at the other nodes. CONCLUSIONS: The estimation of the time of arrival of the outbreak from its epicenter, allows for a time period to implement and strengthen preventive measures aimed at the general population as well as to strengthen hospital infrastructure and training of human resources. In the present study, this estimation was accurate, as observed from the real data of the beginning of the outbreak in Mexico City up to April 6, 2020.