Evaluating the impact of non-pharmaceutical interventions for SARS-CoV-2 on a global scale
Abstract In the absence of a viable pharmaceutical intervention for SARS-CoV-2, governments have implemented a range of non-pharmaceutical interventions (NPIs) to curb the spread of infection of the virus and the disease caused by the virus, now known as COVID-19. Given the associated social and economic costs, it is critical to enumerate the individual impacts of NPIs to aid in decision-making moving forward. We used globally reported SARS-CoV-2 cases to fit a Bayesian model framework to estimate transmission associated with NPIs in 26 countries and 34 US states. Using a mixed effects model with country level random effects, we compared the relative impact of other NPIs to national-level household confinement measures and evaluated the impact of NPIs on the global trajectory of the COVID-19 pandemic over time. We observed heterogeneous impacts of the easing of restrictions and estimated an overall reduction in infection of 23% (95% CI: 18-27%) associated with household confinement, 10% (95% CI: 1-18%) with limits on gatherings, 12% (95% CI: 5-19%) with school closures and 17% (95% CI: 6-28%) with mask policies. We estimated a 12% (95% CI: 9-15%) reduction in transmission associated with NPIs overall. The implementation of NPIs have substantially reduced acceleration of COVID-19. At this early time point, we cannot determine the impact of the easing of restrictions and there is a need for continual assessment of context specific effectiveness of NPIs as more data become available..
Medienart: |
Preprint |
---|
Erscheinungsjahr: |
2021 |
---|---|
Erschienen: |
2021 |
Enthalten in: |
bioRxiv.org - (2021) vom: 21. Jan. Zur Gesamtaufnahme - year:2021 |
---|
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Esra, Rachel [VerfasserIn] |
---|
Links: |
Volltext [kostenfrei] |
---|
doi: |
10.1101/2020.07.30.20164939 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
XBI018500714 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | XBI018500714 | ||
003 | DE-627 | ||
005 | 20230429095617.0 | ||
007 | cr uuu---uuuuu | ||
008 | 200807s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1101/2020.07.30.20164939 |2 doi | |
035 | |a (DE-627)XBI018500714 | ||
035 | |a (DE-599)biorXiv10.1101/2020.07.30.20164939 | ||
035 | |a (biorXiv)10.1101/2020.07.30.20164939 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | |a 570 |q DE-84 | |
100 | 1 | |a Esra, Rachel |e verfasserin |4 aut | |
245 | 1 | 0 | |a Evaluating the impact of non-pharmaceutical interventions for SARS-CoV-2 on a global scale |
264 | 1 | |c 2021 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Abstract In the absence of a viable pharmaceutical intervention for SARS-CoV-2, governments have implemented a range of non-pharmaceutical interventions (NPIs) to curb the spread of infection of the virus and the disease caused by the virus, now known as COVID-19. Given the associated social and economic costs, it is critical to enumerate the individual impacts of NPIs to aid in decision-making moving forward. We used globally reported SARS-CoV-2 cases to fit a Bayesian model framework to estimate transmission associated with NPIs in 26 countries and 34 US states. Using a mixed effects model with country level random effects, we compared the relative impact of other NPIs to national-level household confinement measures and evaluated the impact of NPIs on the global trajectory of the COVID-19 pandemic over time. We observed heterogeneous impacts of the easing of restrictions and estimated an overall reduction in infection of 23% (95% CI: 18-27%) associated with household confinement, 10% (95% CI: 1-18%) with limits on gatherings, 12% (95% CI: 5-19%) with school closures and 17% (95% CI: 6-28%) with mask policies. We estimated a 12% (95% CI: 9-15%) reduction in transmission associated with NPIs overall. The implementation of NPIs have substantially reduced acceleration of COVID-19. At this early time point, we cannot determine the impact of the easing of restrictions and there is a need for continual assessment of context specific effectiveness of NPIs as more data become available. | ||
700 | 1 | |a Jamieson, Lise |e verfasserin |4 aut | |
700 | 1 | |a Fox, Matthew P. |e verfasserin |4 aut | |
700 | 1 | |a Letswalo, Daniel |e verfasserin |4 aut | |
700 | 1 | |a Ngcobo, Nkosinathi |e verfasserin |4 aut | |
700 | 1 | |a Mngadi, Sithabile |e verfasserin |4 aut | |
700 | 1 | |a Estill, Janne |e verfasserin |4 aut | |
700 | 1 | |a Meyer-Rath, Gesine |e verfasserin |4 aut | |
700 | 1 | |a Keiser, Olivia |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t bioRxiv.org |g (2021) vom: 21. Jan. |
773 | 1 | 8 | |g year:2021 |g day:21 |g month:01 |
856 | 4 | 0 | |u http://dx.doi.org/10.1101/2020.07.30.20164939 |z kostenfrei |3 Volltext |
912 | |a GBV_XBI | ||
912 | |a SSG-OLC-PHA | ||
951 | |a AR | ||
952 | |j 2021 |b 21 |c 01 | ||
953 | |2 045F |a 570 |