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COVID-19 reinfections in Mexico City: implications for public health.
de Anda-Jáuregui, Guillermo; Gómez-Romero, Laura; Cañas, Sofía; Campos-Romero, Abraham; Alcántar-Fernández, Jonathan; Cedro-Tanda, Alberto.
Afiliação
  • de Anda-Jáuregui G; Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
  • Gómez-Romero L; Investigadoras e Investigadoras por México, Consejo Nacional de Humanidades, Ciencias y Tecnologías, Mexico City, Mexico.
  • Cañas S; Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico.
  • Campos-Romero A; Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
  • Alcántar-Fernández J; Escuela de Medicina y Ciencias de la Salud, Tecnológico de Monterrey, Mexico City, Mexico.
  • Cedro-Tanda A; Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Front Public Health ; 11: 1321283, 2023.
Article em En | MEDLINE | ID: mdl-38419814
ABSTRACT

Background:

Since its appearance, COVID-19 has immensely impacted our society. Public health measures, from the initial lockdowns to vaccination campaigns, have mitigated the crisis. However, SARS-CoV-2's persistence and evolving variants continue to pose global threats, increasing the risk of reinfections. Despite vaccination progress, understanding reinfections remains crucial for informed public health responses.

Methods:

We collected available data on clinical and genomic information for SARS-CoV-2 samples from patients treated in Mexico City from 2020 epidemiological week 10 to 2023 epidemiological week 06 encompassing the whole public health emergency's period. To identify clinical data we utilized the SISVER (Respiratory Disease Epidemiological Surveillance System) database for SARS-CoV-2 patients who received medical attention in Mexico City. For genomic surveillance we analyzed genomic data previously uploaded to GISAID generated by Mexican institutions. We used these data sources to generate descriptors of case number, hospitalization, death and reinfection rates, and viral variant prevalence throughout the pandemic period.

Findings:

The fraction of reinfected individuals in the COVID-19 infected population steadily increased as the pandemic progressed in Mexico City. Most reinfections occurred during the fifth wave (40%). This wave was characterized by the coexistence of multiple variants exceeding 80% prevalence; whereas all other waves showed a unique characteristic dominant variant (prevalence >95%). Shifts in symptom patient care type and severity were observed, 2.53% transitioned from hospitalized to ambulatory care type during reinfection and 0.597% showed the opposite behavior; also 7.23% showed a reduction in severity of symptoms and 6.05% displayed an increase in severity. Unvaccinated individuals accounted for the highest percentage of reinfections (41.6%), followed by vaccinated individuals (31.9%). Most reinfections occurred after the fourth wave, dominated by the Omicron variant; and after the vaccination campaign was already underway.

Interpretation:

Our analysis suggests reduced infection severity in reinfections, evident through shifts in symptom severity and care patterns. Unvaccinated individuals accounted for most reinfections. While our study centers on Mexico City, its findings may hold implications for broader regions, contributing insights into reinfection dynamics.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Saúde Pública / COVID-19 Limite: Humans País/Região como assunto: Mexico Idioma: En Revista: Front Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Saúde Pública / COVID-19 Limite: Humans País/Região como assunto: Mexico Idioma: En Revista: Front Public Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: México