Abstract
Since the start of COVID-19 and its growth into an uncontrollable pandemic, the spread of diseases through airports has become a serious health problem around the world. This study presents an algorithm to determine the risk of spread in airports and air routes. Graphs are applied to model the air transport network and Dijkstra’s algorithm is used for generating routes. Fuzzy logic is applied to evaluate multiple demographics, health, and transport variables and identify the level of spread in each airport. The algorithm applies a Markov chain to determine the probability of the arrival of an infected passenger with the COVID-19 virus to an airport in any country in the world. The results show the optimal performance of the proposed algorithm. In addition, some data are presented that allow for the application of actions in health and mobility policies to prevent the spread of infectious diseases.
Highlights
The spread of diseases through air transport has become an urgent topic because of COVID-19 increasing across the globe
The results show that the fuzzy logic system has detected 56.54% (298 airports) as “low spread,” whereas 34.72% (183 airports) have low passenger traffic
The current research has proposed an algorithm to prevent the spread of infectious diseases on air routes and airports, where the information on airports, routes, population density, and spread characteristics of COVID-19 has been used
Summary
The spread of diseases through air transport has become an urgent topic because of COVID-19 increasing across the globe. The spread of the disease has been greatly increased by the number of air routes and mass transport airlines between countries. Air routes have become the largest means of mass transportation, with 38.3 million flights and more than 4.5 billion passengers in 2019 [3]. An example of the spread of an infectious disease is SARS (severe acute respiratory syndrome) in 2003, which was identified in the city of Foshan, China. SARS infected 8448 people in 29 countries and killed 774 individuals. The spread of SARS occurred because of land transportation (neighboring communities) and airlines (to multiple countries) [4]. As entry points for travelers, airports are expensive when it comes to attempts to detect diseases, both in terms of equipment and health inspection personnel [5,6]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
