Cargando…
Quantifying the impact of SARS-CoV-2 temporal vaccination trends and disparities on disease control
SARS-CoV-2 vaccines have been distributed at unprecedented speed. Still, little is known about temporal vaccination trends, their association with socioeconomic inequality, and their consequences for disease control. Using data from 161 countries/territories and 58 states, we examined vaccination ra...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396293/ https://www.ncbi.nlm.nih.gov/pubmed/37531439 http://dx.doi.org/10.1126/sciadv.adh9920 |
_version_ | 1785083728289071104 |
---|---|
author | Larsen, Sophie L. Shin, Ikgyu Joseph, Jefrin West, Haylee Anorga, Rafael Mena, Gonzalo E. Mahmud, Ayesha S. Martinez, Pamela P. |
author_facet | Larsen, Sophie L. Shin, Ikgyu Joseph, Jefrin West, Haylee Anorga, Rafael Mena, Gonzalo E. Mahmud, Ayesha S. Martinez, Pamela P. |
author_sort | Larsen, Sophie L. |
collection | PubMed |
description | SARS-CoV-2 vaccines have been distributed at unprecedented speed. Still, little is known about temporal vaccination trends, their association with socioeconomic inequality, and their consequences for disease control. Using data from 161 countries/territories and 58 states, we examined vaccination rates across high and low socioeconomic status (SES), showing that disparities in coverage exist at national and subnational levels. We also identified two distinct vaccination trends: a rapid initial rollout, quickly reaching a plateau, or sigmoidal and slow to begin. Informed by these patterns, we implemented an SES-stratified mechanistic model, finding profound differences in mortality and incidence across these two vaccination types. Timing of initial rollout affects disease outcomes more substantially than final coverage or degree of SES disparity. Unexpectedly, timing is not associated with wealth inequality or GDP per capita. While socioeconomic disparity should be addressed, accelerating initial rollout for all over focusing on increasing coverage is an accessible intervention that could minimize the burden of disease across socioeconomic groups. |
format | Online Article Text |
id | pubmed-10396293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-103962932023-08-03 Quantifying the impact of SARS-CoV-2 temporal vaccination trends and disparities on disease control Larsen, Sophie L. Shin, Ikgyu Joseph, Jefrin West, Haylee Anorga, Rafael Mena, Gonzalo E. Mahmud, Ayesha S. Martinez, Pamela P. Sci Adv Social and Interdisciplinary Sciences SARS-CoV-2 vaccines have been distributed at unprecedented speed. Still, little is known about temporal vaccination trends, their association with socioeconomic inequality, and their consequences for disease control. Using data from 161 countries/territories and 58 states, we examined vaccination rates across high and low socioeconomic status (SES), showing that disparities in coverage exist at national and subnational levels. We also identified two distinct vaccination trends: a rapid initial rollout, quickly reaching a plateau, or sigmoidal and slow to begin. Informed by these patterns, we implemented an SES-stratified mechanistic model, finding profound differences in mortality and incidence across these two vaccination types. Timing of initial rollout affects disease outcomes more substantially than final coverage or degree of SES disparity. Unexpectedly, timing is not associated with wealth inequality or GDP per capita. While socioeconomic disparity should be addressed, accelerating initial rollout for all over focusing on increasing coverage is an accessible intervention that could minimize the burden of disease across socioeconomic groups. American Association for the Advancement of Science 2023-08-02 /pmc/articles/PMC10396293/ /pubmed/37531439 http://dx.doi.org/10.1126/sciadv.adh9920 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Social and Interdisciplinary Sciences Larsen, Sophie L. Shin, Ikgyu Joseph, Jefrin West, Haylee Anorga, Rafael Mena, Gonzalo E. Mahmud, Ayesha S. Martinez, Pamela P. Quantifying the impact of SARS-CoV-2 temporal vaccination trends and disparities on disease control |
title | Quantifying the impact of SARS-CoV-2 temporal vaccination trends and disparities on disease control |
title_full | Quantifying the impact of SARS-CoV-2 temporal vaccination trends and disparities on disease control |
title_fullStr | Quantifying the impact of SARS-CoV-2 temporal vaccination trends and disparities on disease control |
title_full_unstemmed | Quantifying the impact of SARS-CoV-2 temporal vaccination trends and disparities on disease control |
title_short | Quantifying the impact of SARS-CoV-2 temporal vaccination trends and disparities on disease control |
title_sort | quantifying the impact of sars-cov-2 temporal vaccination trends and disparities on disease control |
topic | Social and Interdisciplinary Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10396293/ https://www.ncbi.nlm.nih.gov/pubmed/37531439 http://dx.doi.org/10.1126/sciadv.adh9920 |
work_keys_str_mv | AT larsensophiel quantifyingtheimpactofsarscov2temporalvaccinationtrendsanddisparitiesondiseasecontrol AT shinikgyu quantifyingtheimpactofsarscov2temporalvaccinationtrendsanddisparitiesondiseasecontrol AT josephjefrin quantifyingtheimpactofsarscov2temporalvaccinationtrendsanddisparitiesondiseasecontrol AT westhaylee quantifyingtheimpactofsarscov2temporalvaccinationtrendsanddisparitiesondiseasecontrol AT anorgarafael quantifyingtheimpactofsarscov2temporalvaccinationtrendsanddisparitiesondiseasecontrol AT menagonzaloe quantifyingtheimpactofsarscov2temporalvaccinationtrendsanddisparitiesondiseasecontrol AT mahmudayeshas quantifyingtheimpactofsarscov2temporalvaccinationtrendsanddisparitiesondiseasecontrol AT martinezpamelap quantifyingtheimpactofsarscov2temporalvaccinationtrendsanddisparitiesondiseasecontrol |