High seroprevalence after the second wave of SARS-COV2 respiratory infection in a small settlement on the northern coastal of Peru.

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Bibliographic Details
Title: High seroprevalence after the second wave of SARS-COV2 respiratory infection in a small settlement on the northern coastal of Peru.
Alternate Title: Alta seroprevalencia de la infección respiratoria por SARS-COV2 tras la segunda ola en un pequeño asentamiento de la costa norte del Perú.
Authors: Toledo, Angie K.1,2 angietoledo.c@gmail.com, León-Jimenez, Franco3,4 feleon@ucvvirtual.edu.pe, Cavalcanti, Sofia4 sofiacavalcanti0484@gmail.com, Vilchez-Barreto, Percy5 percy.vilchez.b@upch.pe, Reto, Narcisa6 nereto@hotmail.com, Vega, Jessica7 jessicavb26@hotmail.com, Bolivar, Lucia M.8 luciabolivarh@hotmail.com, Rhor, Eva M.9 erhorg@untumbes.edu.pe, Ypanaque, Jhon10 jhon.unt@gmail.com, Silva-Marchan, Henry11,12 hsilvam@untumbes.edu.pe, Moyano, Luz M.3 lmmoyanom@ucvvirtual.edu.pe
Source: Revista del Cuerpo Médico del Hospital Nacional Almanzor Aguinaga Asenjo. ene-mar2024, Vol. 17 Issue 1, p1-19. 19p.
Subjects: RESPIRATORY infections, SEROPREVALENCE
Geographic Terms: PERU
Abstract (English): Objective: a) to assess the seroprevalence of SARS-CoV-2 at the end of the second wave; b) to determine the distribution by age group and health determinants associated with seropositivity. Material and Methodology: A study performed in a Tumbes' settlement between December 2021-January 2022 sampled individuals over 2 years old from one to every four households. We collected finger-prick blood samples and conducted symptom surveys. Results: The adjusted seroprevalence after the second wave increased by twofold (50.15%, 95% CI[45.92-54.40]), compared with the first wave (24.82 %, 95%CI [22.49-27.25]). Females maintained a higher seroprevalence (53.89; 95% CI[48.48-59.23]) vs. 45.49; 95% CI [38.98-52.12], p=0.042) compared to males. Those under 18 years of age had the highest IgG seropositivity: the 12-17 age group during the second wave (85.14%) and the 2-11 age group (25.25%) during the first wave. Nasal congestion and cough were symptoms associated with seropositivity, unlike the first wave. Conclusions: The seroprevalence of COVID-19 increased by twofold compared to the initial wave in Tumbes region. Infrastructure constraints, restricted human resources, and supply limitations in healthcare facilities made the Peruvian health system collapse. The epidemiological surveillance network should incorporate mHealth tools for real-time notifiable disease information. Working alongside the community will let us improve interventions for preventing or controlling new pandemics. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): Objetivo: a) evaluar la seroprevalencia de SARS-CoV-2 al final de la segunda ola; b) determinar su distribución por grupos de edad y los determinantes de salud asociados a la seropositividad. Materiales y Método: Un estudio realizado en un asentamiento humano de Tumbes entre diciembre de 2021 y enero de 2022 muestreó individuos mayores de 2 años en uno de cada cuatro hogares. Se tomó muestras de sangre por punción-digital y se realizó encuestas sintomáticas. Resultados: La seroprevalencia ajustada tras la segunda ola se duplicó (50.15%, IC 95% [45,92-54,40]), comparado con la primera ola (24.82%, IC 95% [22,49-27,25]). Las mujeres mantuvieron una mayor seroprevalencia (53.89; IC 95% [48,48-59,23] vs. 45.49; IC 95% [38,98-52,12], p = 0,042) comparado con los hombres. Los menores de 18 años presentaron mayor seropositividad IgG: el grupo de 12-17 años durante la segunda ola (85,14%) y el grupo de 2-11 años (25,25%) durante la primera ola. Congestión nasal y tos estuvieron asociados a la seropositividad, a diferencia de la primera oleada. Conclusiones: La seroprevalencia de COVID-19 se duplicó en comparado con la primera ola en Tumbes. Las limitaciones de infraestructura, los recursos humanos restringidos y las limitaciones de abastecimiento en los establecimientos de salud hicieron colapsar el sistema de salud peruano. La red de vigilancia epidemiológica debería incorporar herramientas de mhealth para obtener información en tiempo real sobre las enfermedades. de declaración obligatoria. Trabajar junto a la comunidad nos permitirá mejorar las intervenciones para prevenir o controlar nuevas pandemias. [ABSTRACT FROM AUTHOR]
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Database: MedicLatina
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Abstract:Objective: a) to assess the seroprevalence of SARS-CoV-2 at the end of the second wave; b) to determine the distribution by age group and health determinants associated with seropositivity. Material and Methodology: A study performed in a Tumbes' settlement between December 2021-January 2022 sampled individuals over 2 years old from one to every four households. We collected finger-prick blood samples and conducted symptom surveys. Results: The adjusted seroprevalence after the second wave increased by twofold (50.15%, 95% CI[45.92-54.40]), compared with the first wave (24.82 %, 95%CI [22.49-27.25]). Females maintained a higher seroprevalence (53.89; 95% CI[48.48-59.23]) vs. 45.49; 95% CI [38.98-52.12], p=0.042) compared to males. Those under 18 years of age had the highest IgG seropositivity: the 12-17 age group during the second wave (85.14%) and the 2-11 age group (25.25%) during the first wave. Nasal congestion and cough were symptoms associated with seropositivity, unlike the first wave. Conclusions: The seroprevalence of COVID-19 increased by twofold compared to the initial wave in Tumbes region. Infrastructure constraints, restricted human resources, and supply limitations in healthcare facilities made the Peruvian health system collapse. The epidemiological surveillance network should incorporate mHealth tools for real-time notifiable disease information. Working alongside the community will let us improve interventions for preventing or controlling new pandemics. [ABSTRACT FROM AUTHOR]
ISSN:22255109
DOI:10.35434/rcmhnaaa.2024.171.2287