COVID-19 Outcomes in Saudi Arabia and the UK: A Tale of Two Kingdoms
Komies, S.; Aldhahir, A. M.; Almehmadi, M.; Alghamdi, S. M.; Alqarni, A.; Oyelade, T.; Alqahtani, J. S.
Show abstract
BackgroundWhile the number of COVID-19 cases and deaths around the world is starting to peak, it is essential to point out how different countries manage the outbreak and how different measures and experience resulted in different outcomes. This study aimed to compare the effect of the measures taken by Saudi Arabia and the United Kingdom (UK) governments on the outcome of the COVID-19 pandemic as predicted by a mathematical model. MethodData on the numbers of cases, deaths and government measures were collected from Saudis Ministry of Health and Public Health England. A prediction of the trend of cases, deaths and days to peak was then modelled using the mathematical technique, Exponential Logistic Growth and Susceptible Infectious Recovered (SIR) model. The measures taken by the governments and the predicted outcomes were compared to assess effectiveness. ResultWe found over three months that 22 fast and extreme measures had been taken in Saudi Arabia compared to eight slow and late measures in the UK. This resulted in a decline in numbers of current infected cases per day and mortality in Saudi Arabia compared to the UK. Based on the SIR model, the predicted number of COVID-19 cases in Saudi as of 31st of March was 2,064, while the predicted number of cases was 63012 in the UK. In addition, the pandemic is predicted to peak earlier on the 27th of March in Saudi Arabia compared to the 2nd of May 2020 in the UK. The end of transition phases for Saudi and UK according to the model, were predicted to be on 18th of April and 24th of May, respectively. These numbers relate to early and decisive measures adopted by the Saudi government. ConclusionWe show that early extreme measures, informed by science and guided by experience, helped reduce the spread and related deaths from COVID-19 in Saudi. Actions were taken by Saudi under the national slogan "We are all responsible" resulted in the observed reduced number of current and predicted cases and deaths compared to the UK approach "keep calm and carry on".
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Conflict driven displacement and child health: Evidence from Jordan 95%
- Strengthening government’s response to COVID-19 in Indonesia: a modified Delphi study of medical and health academics 95%
- The knowledge and practice towards COVID-19 pandemic prevention among residents of Ethiopia. An online cross-sectional study. 94%
Similar papers in this journal
- Health System Resilience-enhancing Strategies for Managing Public Health Emergencies of International Concerns (PHEIC): Success and Challenges A Systematic Review Protocol 93%
- COVID-19 Vaccine hesitancy in Addis Ababa, Ethiopia: A mixed-methods study 93%
- The COVID-19 mortality effects of underlying health conditions in India: a modelling study 92%
Similar papers in this journal
- Sensitivity of endemic behaviour of Covid-19 under a multi-dose vaccination regime, to various biological parameters and control variables 90%
- School and community reopening during the COVID-19 pandemic: a mathematical modeling study 90%
- Optimal health and economic impact of non-pharmaceutical intervention measures prior and post vaccination in England: a mathematical modelling study 90%
Similar papers in this journal
- Predictive signs and symptoms of Bacterial Meningitis isolates in Northern Ghana 94%
- Effectiveness of Second Wave COVID-19 Response Strategies in Australia 93%
- A new, simple method of describing COVID-19 trajectory and dynamics in any country based on Johnson Cumulative Distribution Function fitting 93%
Similar papers in this journal
- Data Driven Monitoring in Community Based Management of SAM children using Psychometric Techniques: An Operational Framework 92%
- Comparative study between first and second wave of COVID-19 deaths in India - a single center study 92%
- Clinical Characteristics and Outcomes of Laboratory-Confirmed SARS-CoV-2 Cases Infected with Omicron subvariants and XBB recombinant variant 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.