Research by Jim Samuel et al. “Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach”

April 19, 2023


Cities become mission-critical zones during pandemics and it is vital to develop a better understanding of the factors that are associated with infection levels. The COVID-19 pandemic has impacted many cities severely; however, there is significant variance in its impact across cities. Pandemic infection levels are associated with inherent features of cities (e.g., population size, density, mobility patterns, socioeconomic condition, and health & environment), which need to be better understood. Intuitively, the infection levels are expected to be higher in big urban agglomerations, but the measurable influence of a specific urban feature is unclear. The present study examines 41 variables and their potential influence on the incidence of COVID-19 infection cases. The study uses a multi-method approach to study the influence of variables, classified as demographic, socioeconomic, mobility and connectivity, urban form and density, and health and environment dimensions. This study develops an index dubbed the pandemic vulnerability index at city level (PVI-CI) for classifying the pandemic vulnerability levels of cities, grouping them into five vulnerability classes, from very high to very low. Furthermore, clustering and outlier analysis provides insights on the spatial clustering of cities with high and low vulnerability scores. This study provides strategic insights into levels of influence of key variables upon the spread of infections, along with an objective ranking for the vulnerability of cities. Thus, it provides critical wisdom needed for urban healthcare policy and resource management. The calculation method for the pandemic vulnerability index and the associated analytical process present a blueprint for the development of similar indices for cities in other countries, leading to a better understanding and improved pandemic management for urban areas, and more resilient planning for future pandemics in cities across the world.


Coronavirus, COVID-19, Pandemic vulnerability index, PVI, US cities, Resiliency


Md. Shahinoor Rahman, Kamal Chandra Paul, Md. Mokhlesur Rahman, Jim Samuel, Jean-Claude Thill, Md. Amjad Hossain, G. G. Md. Nawaz Ali, Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach, Sustainable Cities and Society,
Volume 95, 2023, 104570, ISSN 2210-6707,

Recent Posts

NJSPL – New Jersey Employment Concerns Revisited

As 2024 began with yet another surprisingly strong jobs report for the U.S. (353,000 jobs added in January and the unemployment rate steady at 3.7%), and with a full year’s worth of 2023 state-level employment data now available, it’s worth briefly revisiting some of...

New Research: The Traffic Calming Effect of Delineated Bicycle Lanes

Abstract We analyze the effect of a bicycle lane on traffic speeds. Computer vision techniques are used to detect and classify the speed and trajectory of over 9,000 motor-vehicles at an intersection that was part of a pilot demonstration in which a bicycle lane was...

Upcoming Events

Event Series CAREERS

Career Virtual Drop-ins


Bloustein Career Development Specialists Cheryl Egan and Andrea Garrido will be in a Zoom Room on Monday's beginning January 22, 2024 (excluding holidays and spring break) to answer questions, provide […]