» Articles » PMID: 38450145

Revisiting the Complex Time-varying Effect of Non-pharmaceutical Interventions on COVID-19 Transmission in the United States

Overview
Specialty Public Health
Date 2024 Mar 7
PMID 38450145
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: Although the global COVID-19 emergency ended, the real-world effects of multiple non-pharmaceutical interventions (NPIs) and the relative contribution of individual NPIs over time were poorly understood, limiting the mitigation of future potential epidemics.

Methods: Based on four large-scale datasets including epidemic parameters, virus variants, vaccines, and meteorological factors across 51 states in the United States from August 2020 to July 2022, we established a Bayesian hierarchical model with a spike-and-slab prior to assessing the time-varying effect of NPIs and vaccination on mitigating COVID-19 transmission and identifying important NPIs in the context of different variants pandemic.

Results: We found that (i) the empirical reduction in reproduction number attributable to integrated NPIs was 52.0% (95%CI: 44.4, 58.5%) by August and September 2020, whereas the reduction continuously decreased due to the relaxation of NPIs in following months; (ii) international travel restrictions, stay-at-home requirements, and restrictions on gathering size were important NPIs with the relative contribution higher than 12.5%; (iii) vaccination alone could not mitigate transmission when the fully vaccination coverage was less than 60%, but it could effectively synergize with NPIs; (iv) even with fully vaccination coverage >60%, combined use of NPIs and vaccination failed to reduce the reproduction number below 1 in many states by February 2022 because of elimination of above NPIs, following with a resurgence of COVID-19 after March 2022.

Conclusion: Our results suggest that NPIs and vaccination had a high synergy effect and eliminating NPIs should consider their relative effectiveness, vaccination coverage, and emerging variants.

References
1.
Paireau J, Charpignon M, Larrieu S, Calba C, Hoze N, Boelle P . Impact of non-pharmaceutical interventions, weather, vaccination, and variants on COVID-19 transmission across departments in France. BMC Infect Dis. 2023; 23(1):190. PMC: 10061408. DOI: 10.1186/s12879-023-08106-1. View

2.
Gumel A, Iboi E, Ngonghala C, Ngwa G . Toward Achieving a Vaccine-Derived Herd Immunity Threshold for COVID-19 in the U.S. Front Public Health. 2021; 9:709369. PMC: 8343072. DOI: 10.3389/fpubh.2021.709369. View

3.
Liu Y, Rocklov J . The effective reproductive number of the Omicron variant of SARS-CoV-2 is several times relative to Delta. J Travel Med. 2022; 29(3). PMC: 8992231. DOI: 10.1093/jtm/taac037. View

4.
Bhattacharyya A, Pal S, Mitra R, Rai S . Applications of Bayesian shrinkage prior models in clinical research with categorical responses. BMC Med Res Methodol. 2022; 22(1):126. PMC: 9046716. DOI: 10.1186/s12874-022-01560-6. View

5.
Perra N . Non-pharmaceutical interventions during the COVID-19 pandemic: A review. Phys Rep. 2021; 913:1-52. PMC: 7881715. DOI: 10.1016/j.physrep.2021.02.001. View