Geographical distribution of COVID-19 infection across Saudi Arabia

Abstract

Background. Saudi Arabia, a large country in terms of population size and geographical area, is divided into administrative areas and governorates. It has metropolises, cities (large, medium sized, and small), towns, villages and rural neighborhoods, classifiable into well equipped, rapidly expanding, and others. The COVID-19 epidemics spread all over the country with differentials in infection rates, percentages, and affected persons, alongside daily increases. This analysis, focused on administrative areas, aimed to comprehend the spread and escalation of the epidemic, in addition to highlighting the distribution of the infected population with a special emphasis on geographical spread and seasonal variations. Materials and methods. This analysis of data compiled from COVID-19 daily reports published by the Saudi Arabian Ministry of Health considers into account administrative areas and localities (neighborhoods) to demonstrate the distribution of spread, increase in infection, and the proportion of population infected between March 21, 2020 and May 4, 2023. Results. A large majority of the infected cases were reported in three major administrative areas including Riyadh, Makkah, and the Eastern Region. Other regions had a smaller number of infected cases. However, some locations, especially medium-sized upcoming towns and neighborhoods experienced greater number of people seriously affected at a rapid pace, with seasonal differentials, in medium sized upcoming cities — the governorate headquarters and promising future cities, apart from the major cities. Conclusions. COVID-19 spread in the country followed a certain regional pattern. Beyond the populous administrative areas, upcoming cities in fast changing areas had a high impact. Thus, having a categorization of major, medium or low spread is necessary. Such detailing of COVID-19 infection would be useful not only to develop combating strategies but also to create epidemic and emergency preparedness.