Open Access Research Article

An Algorithm-Based Computational Method for Overcoming Worldwide Antimicrobial Resistance Exacerbation in COVID-19 Pandemic Era

Hyunjo Kim1* and Jae-Hoon Song2

1School of Pharmacy, Yonsei University, South Korea

2Chairman of Asian-Pacific Research Foundation for Infectious and ANSORP, South Korea

Corresponding Author

Received Date: October 09, 2020;  Published Date: October 28, 2020


The use of antibiotics in COVID-19 pandemic era will inevitably exacerbate antimicrobial resistance (AMR) and could ultimately lead to more deaths and morbidity as an unintended consequence of this long-term pandemic. Although AMR was already spreading rapidly before the emergence of COVID-19, the impact of the pandemic may be more pronounced. The wider implications of the pandemic for health and social care systems must be characterized and these data must be gathered to inform and update national strategies that address the long-term challenges of AMR while preserving access to effective drugs. Thus, world needs such level of dedication to reverse the trajectory of AMR by ensuring that research continues to develop antimicrobial drug pipeline, sustainable investment in health systems, and strengthening of antimicrobial stewardship.

Keywords:Antibiotics, COVID-19 Pandemic, Antimicrobial Resistance (AMR), Multi-Drug Resistant (MDR), Health Systems, Antimicrobial Stewardship

Abbreviations: Coronavirus Disease-19 (COVID-19); Antimicrobial Resistance (AMR); Severe Acute Respiratory Syndrome coronavirus 2 (SARSCoV- 2); Multi-Drug Resistant (MDR); Chronic Obstructive Pulmonary Disease (COPD); Antimicrobial Stewardship (AMS); Angiotensin-Convert- ing Enzyme (ACE); Acute Respiratory Distress Syndrome (ARDS); Middle Eastern Respiratory Syndrome Coronavirus (MERS-CoV); Quantum Universal Exchange Language (Q-UEL).

Signup for Newsletter
Scroll to Top