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. 2022 Feb 7;20(1):51.
doi: 10.1186/s12916-022-02232-4.

Estimating the effect of non-pharmaceutical interventions to mitigate COVID-19 spread in Saudi Arabia

Affiliations

Estimating the effect of non-pharmaceutical interventions to mitigate COVID-19 spread in Saudi Arabia

Donal Bisanzio et al. BMC Med. .

Abstract

Background: The Kingdom of Saudi Arabia (KSA) quickly controlled the spread of SARS-CoV-2 by implementing several non-pharmaceutical interventions (NPIs), including suspension of international and national travel, local curfews, closing public spaces (i.e., schools and universities, malls and shops), and limiting religious gatherings. The KSA also mandated all citizens to respect physical distancing and to wear face masks. However, after relaxing some restrictions during June 2020, the KSA is now planning a strategy that could allow resuming in-person education and international travel. The aim of our study was to evaluate the effect of NPIs on the spread of the COVID-19 and test strategies to open schools and resume international travel.

Methods: We built a spatial-explicit individual-based model to represent the whole KSA population (IBM-KSA). The IBM-KSA was parameterized using country demographic, remote sensing, and epidemiological data. A social network was created to represent contact heterogeneity and interaction among age groups of the population. The IBM-KSA also simulated the movement of people across the country based on a gravity model. We used the IBM-KSA to evaluate the effect of different NPIs adopted by the KSA (physical distancing, mask-wearing, and contact tracing) and to forecast the impact of strategies to open schools and resume international travels.

Results: The IBM-KSA results scenarios showed the high effectiveness of mask-wearing, physical distancing, and contact tracing in controlling the spread of the disease. Without NPIs, the KSA could have reported 4,824,065 (95% CI: 3,673,775-6,335,423) cases by June 2021. The IBM-KSA showed that mandatory mask-wearing and physical distancing saved 39,452 lives (95% CI: 26,641-44,494). In-person education without personal protection during teaching would have resulted in a high surge of COVID-19 cases. Compared to scenarios with no personal protection, enforcing mask-wearing and physical distancing in schools reduced cases, hospitalizations, and deaths by 25% and 50%, when adherence to these NPIs was set to 50% and 70%, respectively. The IBM-KSA also showed that a quarantine imposed on international travelers reduced the probability of outbreaks in the country.

Conclusions: This study showed that the interventions adopted by the KSA were able to control the spread of SARS-CoV-2 in the absence of a vaccine. In-person education should be resumed only if NPIs could be applied in schools and universities. International travel can be resumed but with strict quarantine rules. The KSA needs to keep strict NPIs in place until a high fraction of the population is vaccinated in order to reduce hospitalizations and deaths.

Keywords: COVID-19; Individual-based model; Non-pharmaceutical interventions; SARS-CoV-2; Saudi Arabia.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Epidemic curves of the scenarios of remote education vs. in-person education since June 21, 2020, without mandatory NPIs (mask-wearing and physical distancing, and contact tracing). The yellow bars are the mean values of the simulation, and the green and red bars are the 95% CI. The orange line represents the reported number of cases until November 15, 2020. The gray bar represents the number of cases reported until June 21, 2020
Fig. 2
Fig. 2
Epidemic curves of the four scenarios with mandatory mask-wearing and physical distancing. The yellow bars are the mean values of the simulation, and the green and red bars are the 95% credible interval. The orange line represents the reported number of cases until November 15, 2020. The gray bar represents the number of cases reported until June 21, 2020
Fig. 3
Fig. 3
Epidemic curves of the two scenarios simulating contact tracing (from June 21, 2020, to June 21, 2021). The yellow bars are the mean values of the simulation, and the green and red bars are the 95% credible interval. The orange line represents the reported number of cases until November 20, 2020. The gray bar represents the number of cases reported until June 21, 2020
Fig. 4
Fig. 4
Epidemic curves of scenarios simulating resuming of in-person education with different levels of personal protection based on mask-wearing and physical distancing (from June 21, 2020, to June 21, 2021). The panel shows estimates from a scenario with no personal protection (left), with mask-wearing and physical distancing performed by 50% (center) and 70% (right) of the school population. In the graphs, the yellow bars are the mean values of the simulation, and the green and red bars are the 95% credible interval. The orange line represents the reported number of cases until November 20, 2020. The gray bar represents the number of cases reported until June 21, 2020
Fig. 5
Fig. 5
Epidemic curves of scenarios simulating resuming of international travel with different levels of quarantine (from June 21, 2020, to June 21, 2021). The panel shows estimates from a scenario with no quarantine (left), 50% of travelers in quarantine (center), and 70% of travelers in quarantine (right). In the graphs, the yellow bars are the mean values of the simulation, and the green and red bars are the 95% credible interval. The orange line represents the reported number of cases until November 20, 2020. The gray bar represents the number of cases reported until June 21, 2020

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