TY - JOUR
T1 - Usefulness of Electoral Models for COVID-19 Vaccine Distribution
AU - Hugo, Héctor D.
AU - Michel, Jack
AU - Antón, Christian
AU - Alemán, Washington R.
AU - Cueva, Carlos
AU - Bort, Carlos
AU - Andino, Francisco
AU - Edaki, Omoyeme
AU - Shrestha, Prakriti S.
AU - Rodó, Laura
AU - Ishak, Angela
AU - Quinonez, Jonathan
AU - Maskey, Upasana
AU - Ozair, Saleha
AU - Choudhari, Jinal
AU - Poudel, Sujan
AU - Jaiswal, Vikash
AU - Au, Zachary
AU - Siddiqui, Usman
AU - Pandav, Krunal
AU - Chohan, Farah
AU - Cunha, Manoel H.
AU - Fioroni, Marcelo
AU - Franzese, Luiz A.
AU - Reaño, Javier
AU - Rodriguez-Morales, Alfonso J.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2022/6
Y1 - 2022/6
N2 - Purpose of Review: In response to the COVID-19 pandemic, there has been a remarkably accelerated development of vaccines worldwide. However, an effective distribution system is crucial for vaccination at a national level. Ecuador was one of the first Latin American countries to be most severely affected by the pandemic. It has been struggling to expand its vaccination drive and requires a strategy that provides an achievable vaccination rate and maintains its primary care services. This study aims to provide an efficient vaccination model to achieve herd immunity by utilizing the country’s existing infrastructure (the centralized electoral system) for mass vaccination. Recent Findings: The national electoral data from 2017 and 2021 were used to create estimates for the proposed vaccination model. Two model variations, total personnel, needed, and the number of days needed to vaccinate 50%, 75%, and 100% of the population were considered. The numbers of vaccines needed, and vaccination sites were estimated based on the current number of registered voters and polling stations. The results from the proposed model show that 17,892,353 people can be vaccinated, at 40,093 polling stations, by 90,209 personnel if one vaccinator was available per polling station. Summary: Based on this model, even a conservative estimate shows that 12.56 days are needed to achieve herd immunity, and 16.74 days are needed to vaccinate the entire population of Ecuador. Additionally, we propose that this vaccination model can be used as a blueprint for any country to address similar catastrophes in the future.
AB - Purpose of Review: In response to the COVID-19 pandemic, there has been a remarkably accelerated development of vaccines worldwide. However, an effective distribution system is crucial for vaccination at a national level. Ecuador was one of the first Latin American countries to be most severely affected by the pandemic. It has been struggling to expand its vaccination drive and requires a strategy that provides an achievable vaccination rate and maintains its primary care services. This study aims to provide an efficient vaccination model to achieve herd immunity by utilizing the country’s existing infrastructure (the centralized electoral system) for mass vaccination. Recent Findings: The national electoral data from 2017 and 2021 were used to create estimates for the proposed vaccination model. Two model variations, total personnel, needed, and the number of days needed to vaccinate 50%, 75%, and 100% of the population were considered. The numbers of vaccines needed, and vaccination sites were estimated based on the current number of registered voters and polling stations. The results from the proposed model show that 17,892,353 people can be vaccinated, at 40,093 polling stations, by 90,209 personnel if one vaccinator was available per polling station. Summary: Based on this model, even a conservative estimate shows that 12.56 days are needed to achieve herd immunity, and 16.74 days are needed to vaccinate the entire population of Ecuador. Additionally, we propose that this vaccination model can be used as a blueprint for any country to address similar catastrophes in the future.
KW - COVID-19
KW - Electoral model
KW - Epidemiology
KW - Mass vaccination
UR - http://www.scopus.com/inward/record.url?scp=85127652384&partnerID=8YFLogxK
U2 - 10.1007/s40475-022-00251-y
DO - 10.1007/s40475-022-00251-y
M3 - Artículo de revisión
AN - SCOPUS:85127652384
SN - 2196-3045
VL - 9
SP - 61
EP - 71
JO - Current Tropical Medicine Reports
JF - Current Tropical Medicine Reports
IS - 2
ER -