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Related Experiment Videos

Martín Romero-Martínez1, Tonatiuh Barrientos-Gutiérrez2, Lucía Cuevas-Nasu3

  • 1Centro de Investigación en Evaluación y Encuestas, Instituto Nacional de Salud Pública. Cuernavaca, Morelos, México. martin.romero@insp.mx.

Salud Publica De Mexico
|June 7, 2021
PubMed
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The National Survey of Health and Nutrition (Ensanut) 2020 Covid-19 survey provides valid statistical inferences on SARS-CoV-2 seropositivity prevalence in Mexico. This probabilistic household survey enables comparisons with previous Ensanut data to track population health changes.

Area of Science:

  • Public Health
  • Epidemiology
  • Survey Methodology

Background:

  • The COVID-19 pandemic necessitated rapid data collection on disease prevalence.
  • Understanding SARS-CoV-2 seropositivity is crucial for public health strategies in Mexico.

Purpose of the Study:

  • To describe the design and field results of the 2020 National Survey of Health and Nutrition (Ensanut) Covid-19.
  • To outline the survey's scope, sampling, measurement, inference, and logistics.
  • To establish a foundation for analyzing SARS-CoV-2 seropositivity prevalence.

Main Methods:

  • A probabilistic household survey design was employed for Ensanut Covid-19.
  • Key design elements included scope, sampling strategy, measurement protocols, inference methods, and logistical operations.

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  • Data collection involved household interviews and SARS-CoV-2 seropositivity testing.

    • Main Results:

    • 10,216 complete household interviews were obtained.
    • 9,464 SARS-CoV-2 seropositivity results were collected.
    • The household response rate was 80%, with a 44% seropositivity test response rate.

    Conclusions:

    • The probabilistic design of Ensanut Covid-19 supports valid statistical inferences for national and regional public health parameters.
    • The survey will provide practical insights into the prevalence of SARS-CoV-2 seropositivity in Mexico.
    • Ensanut Covid-19 data can be compared with previous surveys to monitor changes in Mexican population health and nutrition.