The Impact of Mobility Restriction Strategies in the Control of the COVID-19 Pandemic: Modelling the Relation between COVID-19 Health and Community Mobility Data.

Adil Al Wahaibi, Amal Al Maani, Fatma Alyaquobi, Abdullah Al Manji, Khalid Al Harthy, Bader Al Rawahi, Abdullah Alqayoudhi, Sulien Al Khalili, Amina Al-Jardani, Seif Al-Abri
Author Information
  1. Adil Al Wahaibi: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman. ORCID
  2. Amal Al Maani: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman. ORCID
  3. Fatma Alyaquobi: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman.
  4. Abdullah Al Manji: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman.
  5. Khalid Al Harthy: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman.
  6. Bader Al Rawahi: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman.
  7. Abdullah Alqayoudhi: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman.
  8. Sulien Al Khalili: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman.
  9. Amina Al-Jardani: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman.
  10. Seif Al-Abri: Directorate General for Disease Surveillance and Control, Ministry of Health, P.O. Box 393, Muscat 113, Oman. ORCID

Abstract

BACKGROUND: Non-pharmaceutical interventions (NPIs), particularly mobility restrictions, are mainstay measures for the COVID-19 pandemic worldwide. We evaluated the effects of Oman's mobility restriction strategies to highlight their efficacy in controlling the pandemic.
METHODS: Accessible national data of daily admissions and deaths were collected from 1 April 2020 to 22 May 2021. Google Community Mobility Report (CMR) data were downloaded for the same period. Among six CMR categories, three were used and reduced to one index-the community mobility index (CMI). We used a generalised linear model with a negative binomial distribution combined with a non-linear distributed lag model to investigate the short-term effects of CMI on the number of admitted PCR-confirmed COVID-19 cases and deaths, controlling for public holidays, day of the week, and Eid/Ramadan days.
RESULTS: We demonstrated the feasibility of using CMRs in the evaluation and monitoring of different NPIs, particularly those related to movement restriction. The best movement restriction strategy was a curfew from 7 p.m. to 5 a.m. (level 3 of CMI = 8), which had a total reduction of 35% (95% confidence interval (CI); 25-44%) in new COVID-19 admissions in the following two weeks, and a fatality reduction in the following four weeks by 52% (95% CI; 11-75%).
CONCLUSION: Evening lockdown significantly affected the course of the pandemic in Oman which lines up with similar studies throughout the world.

Keywords

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MeSH Term

COVID-19
Communicable Disease Control
Hospitalization
Humans
Pandemics
SARS-CoV-2

Word Cloud

Created with Highcharts 10.0.0COVID-19mobilitypandemicrestrictionMobilityCMImodelinterventionsNPIsparticularlyrestrictionseffectscontrollingdataadmissionsdeathsCommunityCMRusednon-lineardistributedlagmovementmreduction95%CIfollowingweeksOmanBACKGROUND:Non-pharmaceuticalmainstaymeasuresworldwideevaluatedOman'sstrategieshighlightefficacyMETHODS:Accessiblenationaldailycollected1April202022May2021GoogleReportdownloadedperiodAmongsixcategoriesthreereducedoneindex-thecommunityindexgeneralisedlinearnegativebinomialdistributioncombinedinvestigateshort-termnumberadmittedPCR-confirmedcasespublicholidaysdayweekEid/RamadandaysRESULTS:demonstratedfeasibilityusingCMRsevaluationmonitoringdifferentrelatedbeststrategycurfew7p5alevel3=8total35%confidenceinterval25-44%newtwofatalityfour52%11-75%CONCLUSION:EveninglockdownsignificantlyaffectedcourselinessimilarstudiesthroughoutworldImpactRestrictionStrategiesControlPandemic:ModellingRelationHealthDataSARS-CoV-2non-pharmaceuticalpandemics

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