Modeling the impact of covid-19 vaccination in lebanon: A call to speed-up vaccine roll out
| dc.contributor.author | Mumtaz, Ghina R. | |
| dc.contributor.author | El-Jardali, Fadi | |
| dc.contributor.author | Jabbour, Mathilda | |
| dc.contributor.author | Harb, Aya | |
| dc.contributor.author | Abu-Raddad, Laith J. | |
| dc.contributor.author | Makhoul, Monia | |
| dc.contributor.department | Epidemiology and Population Health (EPHD) | |
| dc.contributor.department | Specialized Clinical Programs and Services | |
| dc.contributor.department | Health Management and Policy (HMPD) | |
| dc.contributor.department | Knowledge to Policy (K2P) Center | |
| dc.contributor.department | Center for Infectious Diseases Research | |
| dc.contributor.faculty | Faculty of Health Sciences (FHS) | |
| dc.contributor.faculty | Faculty of Medicine (FM) | |
| dc.contributor.institution | American University of Beirut | |
| dc.date.accessioned | 2025-01-24T11:34:55Z | |
| dc.date.available | 2025-01-24T11:34:55Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Four months into the SARS-CoV-2 vaccination campaign, only 10.7% of the Lebanese population have received at least one dose, raising serious concerns over the speed of vaccine rollout and its impact in the event of a future surge. Using mathematical modeling, we assessed the short-term impact of various vaccine roll-out scenarios on SARS-CoV-2 epidemic course in Lebanon. At current population immunity levels, estimated by the model at 40% on 15 April 2021, a large epidemic wave is predicted if all social distancing restrictions are gradually eased and variants of concern are introduced. Reaching 80% vaccine coverage by the end of 2021 will flatten the epidemic curve and will result in a 37% and 34% decrease in the peak daily numbers of severe/critical disease cases and deaths, respectively; while reaching intermediate coverage of 40% will result in only a 10–11% decrease in each. Reaching 80% vaccine coverage by August would prevent twice as many severe/critical disease cases and deaths than if it were reached by December. Easing restrictions over a longer duration resulted in more favorable vaccination impact. In conclusion, for vaccination to have impact in the short-term, scale-up has to be rapid and reach high coverage (at least 70%), while sustaining social distancing measures during roll-out. At current vaccination pace, this is unlikely to be achieved. Concerted efforts need to be made to overcome local challenges and substantially scale up vaccination to avoid a surge that the country, with its multiple crises and limited health-care capacity, is largely unprepared for. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | |
| dc.identifier.doi | https://doi.org/10.3390/vaccines9070697 | |
| dc.identifier.eid | 2-s2.0-85109133696 | |
| dc.identifier.uri | http://hdl.handle.net/10938/28249 | |
| dc.language.iso | en | |
| dc.publisher | MDPI AG | |
| dc.relation.ispartof | Vaccines | |
| dc.source | Scopus | |
| dc.subject | Coronavirus | |
| dc.subject | Covid-19 | |
| dc.subject | Epidemiology | |
| dc.subject | Lebanon | |
| dc.subject | Mathematical model | |
| dc.subject | Sars-cov-2 | |
| dc.subject | Vaccine | |
| dc.subject | Chadox1 | |
| dc.subject | Chadox1 ncov 19 | |
| dc.subject | Tozinameran | |
| dc.subject | Adaptive immunity | |
| dc.subject | Article | |
| dc.subject | Awareness | |
| dc.subject | Coronavirus disease 2019 | |
| dc.subject | Death | |
| dc.subject | Disease severity | |
| dc.subject | Epidemic | |
| dc.subject | Herd immunity | |
| dc.subject | Human | |
| dc.subject | Innate immunity | |
| dc.subject | Lebanese | |
| dc.subject | Severe acute respiratory syndrome coronavirus 2 | |
| dc.subject | Social distancing | |
| dc.subject | Vaccination | |
| dc.subject | Vaccine hesitancy | |
| dc.subject | World health organization | |
| dc.title | Modeling the impact of covid-19 vaccination in lebanon: A call to speed-up vaccine roll out | |
| dc.type | Article |
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