Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysis
Introduction: At the beginning of the novel coronavirus disease COVID-19 pandemic, many countries around the world closed their centers and imposed restrictions on urban and interurban traffic. This situation had a significant impact on the occurrence of road traffic accidents. The present systemati...
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| Format: | Article |
| Language: | English |
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Tabriz University of Medical Sciences Press
2023-11-01
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| Series: | Journal of Research in Clinical Medicine |
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| Online Access: | https://jrcm.tbzmed.ac.ir/PDF/jrcm-11-35.pdf |
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| author | Kavous Shahsavarinia Hanieh Salehi-Pourmehr Hooman Zafardoust Sepideh Harzand-Jadidi Robab Mehdipour Neda Kabiri |
| author_facet | Kavous Shahsavarinia Hanieh Salehi-Pourmehr Hooman Zafardoust Sepideh Harzand-Jadidi Robab Mehdipour Neda Kabiri |
| author_sort | Kavous Shahsavarinia |
| collection | DOAJ |
| description | Introduction: At the beginning of the novel coronavirus disease COVID-19 pandemic, many countries around the world closed their centers and imposed restrictions on urban and interurban traffic. This situation had a significant impact on the occurrence of road traffic accidents. The present systematic review aimed to determine the prevalence of road accidents during the COVID-19 implemented lockdowns. Methods: This systematic review and meta-analysis were conducted based on the Joanna Briggs Institute (JBI) instructions. Two independent reviewers screened articles based on the inclusion criteria for the review and eligible studies for methodological quality using an appropriate appraisal checklist based on the study type. The statistical analysis was performed using the Comprehensive Meta-Analysis (CMA) software. Considering the heterogeneity among studies, a random effect model was adopted to estimate the pooled effect with 95% CI for binary outcomes. Results: The initial search of databases yielded 849 potentially relevant articles, of which, 44 studies were included in this systematic review and of them, 36 were considered for metaanalysis. The random effect model showed an overall prevalence of injury before the lockdown of 24.9% (95% confidence interval: 20.0%-30.5%). Also, the prevalence of injury during the COVID-19 lockdown was 18.8% (95% CI: 14.7%-23.6%). Begg and Mazumdar’s correlation found no publication bias in the meta-analysis. Conclusion: Road traffic injuries, as one of the main causes of death worldwide, took on a new face with the advent of COVID-19. We have found that there is a relatively high prevalence of road traffic accidents before COVID-19 compared to pandemic period. |
| format | Article |
| id | doaj-art-5bd555a106ee40f9846d389a098505e9 |
| institution | DOAJ |
| issn | 2717-0616 |
| language | English |
| publishDate | 2023-11-01 |
| publisher | Tabriz University of Medical Sciences Press |
| record_format | Article |
| series | Journal of Research in Clinical Medicine |
| spelling | doaj-art-5bd555a106ee40f9846d389a098505e92025-08-20T02:46:50ZengTabriz University of Medical Sciences PressJournal of Research in Clinical Medicine2717-06162023-11-01111353510.34172/jrcm.2023.33386jrcm-33386Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysisKavous Shahsavarinia0Hanieh Salehi-Pourmehr1Hooman Zafardoust2Sepideh Harzand-Jadidi3Robab Mehdipour4Neda Kabiri5Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, IranResearch Center for Evidence-based Medicine, Iranian EBM Centre: A JBI Centre of Excellence, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, IranEmergency and trauma care research center, Tabriz University of Medical Sciences, Tabriz, IranRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, IranResearch Center for Evidence-based Medicine, Iranian EBM Centre: A JBI Centre of Excellence, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, IranResearch Center for Evidence-based Medicine, Iranian EBM Centre: A JBI Centre of Excellence, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, IranIntroduction: At the beginning of the novel coronavirus disease COVID-19 pandemic, many countries around the world closed their centers and imposed restrictions on urban and interurban traffic. This situation had a significant impact on the occurrence of road traffic accidents. The present systematic review aimed to determine the prevalence of road accidents during the COVID-19 implemented lockdowns. Methods: This systematic review and meta-analysis were conducted based on the Joanna Briggs Institute (JBI) instructions. Two independent reviewers screened articles based on the inclusion criteria for the review and eligible studies for methodological quality using an appropriate appraisal checklist based on the study type. The statistical analysis was performed using the Comprehensive Meta-Analysis (CMA) software. Considering the heterogeneity among studies, a random effect model was adopted to estimate the pooled effect with 95% CI for binary outcomes. Results: The initial search of databases yielded 849 potentially relevant articles, of which, 44 studies were included in this systematic review and of them, 36 were considered for metaanalysis. The random effect model showed an overall prevalence of injury before the lockdown of 24.9% (95% confidence interval: 20.0%-30.5%). Also, the prevalence of injury during the COVID-19 lockdown was 18.8% (95% CI: 14.7%-23.6%). Begg and Mazumdar’s correlation found no publication bias in the meta-analysis. Conclusion: Road traffic injuries, as one of the main causes of death worldwide, took on a new face with the advent of COVID-19. We have found that there is a relatively high prevalence of road traffic accidents before COVID-19 compared to pandemic period.https://jrcm.tbzmed.ac.ir/PDF/jrcm-11-35.pdfroad traffic accidentcovid-19lockdownsystematic reviewmeta-analysis |
| spellingShingle | Kavous Shahsavarinia Hanieh Salehi-Pourmehr Hooman Zafardoust Sepideh Harzand-Jadidi Robab Mehdipour Neda Kabiri Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysis Journal of Research in Clinical Medicine road traffic accident covid-19 lockdown systematic review meta-analysis |
| title | Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysis |
| title_full | Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysis |
| title_fullStr | Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysis |
| title_full_unstemmed | Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysis |
| title_short | Prevalence of road traffic accidents during the COVID-19 pandemic: A systematic review and meta-analysis |
| title_sort | prevalence of road traffic accidents during the covid 19 pandemic a systematic review and meta analysis |
| topic | road traffic accident covid-19 lockdown systematic review meta-analysis |
| url | https://jrcm.tbzmed.ac.ir/PDF/jrcm-11-35.pdf |
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