Factors shaping the COVID‑19 epidemic curve: a multi‑country analysis

Lockdown measures are the backbone of containment measures for the COVID-19 pandemic both in high-income countries (HICs) and low- and middle-income countries (LMICs). However, in view of the inevitablyoccurring second and third global covid-19 wave, assessing the success and impact of containment m...

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Autores:
Su Yeon, Jang
Hussain-Alkhateeb, Laith
Rivera Ramírez, Tatiana
Ahmed Asa'ad, Al-Aghbari
Chackalackal, Dhia Joseph
Cárdenas Sánchez, Rocío
Carrillo Diaz, María Angélica
Oh, En Hwan
Alfonso Sierra, Eduardo Andrés
Pía, Oechsner
Kibiwott Kirui, Brian
anto, martin
Díaz Monsalve, Sonia
Kröger, Axel
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Universidad Francisco de Paula Santander
Repositorio:
Repositorio Digital UFPS
Idioma:
eng
OAI Identifier:
oai:repositorio.ufps.edu.co:ufps/7012
Acceso en línea:
https://repositorio.ufps.edu.co/handle/ufps/7012
Palabra clave:
Rights
openAccess
License
Está bajo una licencia Creative Commons Atribución 4.0 Internacional (CC BY 4.0).
Description
Summary:Lockdown measures are the backbone of containment measures for the COVID-19 pandemic both in high-income countries (HICs) and low- and middle-income countries (LMICs). However, in view of the inevitablyoccurring second and third global covid-19 wave, assessing the success and impact of containment measures on the epidemic curve of COVID-19 and people’s compliance with such measures is crucial for more effective policies. To determine the containment measures influencing the COVID-19 epidemic curve in nine targeted countries across high-, middle-, and low-income nations.