ArticleInformatics in medicine unlocked2020
Impact of lockdowns on the spread of COVID-19 in Saudi Arabia.
Article in Informatics in medicine unlocked, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
37 citing papers in PubMed.
- Longitudinal Changes in the Adjusted Body Mass Index (BMI) Percentile Among Children in Riyadh, Saudi Arabia, During and After the COVID-19 Lockdown.Healthcare (Basel, Switzerland) · 2025Article
- "Lessons to Be Learned After the Storm"-A Retrospective Study on the Characteristics and Management of Dental Emergency Patients During the COVID-19 Outbreak in Riyadh.Healthcare (Basel, Switzerland) · 2025Article
- Public perception of COVID-19 in Saudi Arabia during the Omicron wave: recommendations for policy improvement.Frontiers in public health · 2025Article
- Obesity management in the Saudi population.Saudi medical journal · 2023Review
- Public Anxiety, Attitudes, and Practices towards COVID-19 Infection in the Eastern Province of Saudi Arabia: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2023Article
- Impact of meteorological factors and population density on COVID-19 pandemic in Saudi Arabia.Saudi journal of biological sciences · 2023Article
- Attitudes toward Nursing Profession and Fear of Infectious Diseases among Undergraduate Nursing Students: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2023Article
- COVID-19 vaccination side effects among the child age group: a large cross-sectional online based survey in Saudi Arabia.BMC infectious diseases · 2022Observational
- Prevalence of Upper Limb Musculoskeletal Disorders and Their Association with Smartphone Addiction and Smartphone Usage among University Students in the Kingdom of Saudi Arabia during the COVID-19 Pandemic-A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2022Article
- Using simulation modelling and systems science to help contain COVID-19: A systematic review.Systems research and behavioral science · 2022Article
- Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach.International journal of medical informatics · 2022Article
- Impact of the COVID-19 Pandemic on Oncology Patients' Mental Health and Treatment Plans.Healthcare (Basel, Switzerland) · 2022Article
- Adoption of Health Mobile Apps during the COVID-19 Lockdown: A Health Belief Model Approach.International journal of environmental research and public health · 2022Article
- Impact of COVID-19 pandemic quarantine on physical, nutritional, psychosocial life and work aspects in the Kingdom of Saudi Arabia.Journal of family medicine and primary care · 2022Article
- Article
- COVID-19: Mathematical growth vs. precautionary measures in China, KSA, and the USA.Informatics in medicine unlocked · 2022Review
- Article
- COVID-19 outbreak and the role of digital twin.Multimedia tools and applications · 2022Article
- Modeling the effect of lockdown and social distancing on the spread of COVID-19 in Saudi Arabia.PloS one · 2022Article
- Changes in Feeding Behavior and Feeding Stress Among Mothers of Preschoolers Before and During the Novel Coronavirus Pandemic.Frontiers in nutrition · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epidemiological models have been used extensively to predict disease spread in large populations. Among these models, Susceptible Infectious Exposed Recovered (SEIR) is considered to be a suitable model for COVID-19 spread predictions. However, SEIR in its classical form is unable to quantify the impact of lockdowns. In this work, we introduce a variable in the SEIR system of equations to study the impact of various degrees of social distancing on the spread of the disease. As a case study, we apply our modified SEIR model on the initial spread data available (till April 9, 2020) for the Kingdom of Saudi Arabia (KSA). Our analysis shows that with no lockdown around 2.1 million people might get infected during the peak of spread around 2 months from the date the lockdown was first enforced in KSA (March 25th). On the other hand, with the Kingdom's current strategy of partial lockdowns, the predicted number of infections can be lowered to 0.4 million by September 2020. We further demonstrate that with a stricter level of lockdowns, the COVID-19 curve can be effectively flattened in KSA.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.