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Using household death questions from surveys to assess adult mortality in periods of health crisis: An application for Peru, 2018–2022

Author

Listed:
  • José Henrique Costa Monteiro da Silva

    (University of Pennsylvania)

  • Helena Cruz Castanheira

    (University of Pennsylvania)

Abstract

Background: The COVID-19 pandemic highlighted the importance of civil registration and vital statistics (CRVS) systems for tracking and monitoring mortality outcomes during a public health crisis, especially in low- and middle-income countries. Alternative mortality data sources, such as censuses and surveys, offer an opportunity to assess the impact of health crises on countries with incomplete CRVS systems. Objective: Our aim is to show that data on retrospective household deaths collected in household surveys produce informative adult mortality numbers that can be useful in estimating mortality in the context of the COVID-19 pandemic in countries with incomplete CRVS systems, such as Peru. Methods: Using data on household deaths in the previous five years from the National Demographic and Family Health Surveys of Peru (ENDES) from 2018, 2019, 2021, and 2022, we estimate the probability of dying between ages 20 and 64 (45q20) and compare the results with estimates from the World Population Prospects (WPP) 2022 revision and with estimates attained using the sibling survival method. Results: We verify that 45q20 estimates from ENDES household death information fall close to those reported by the WPP 2022. However, these estimates have high confidence intervals due to the small sample size. The sibling survival method consistently estimates lower adult mortality probabilities, even in pandemic years. Despite the difference in magnitude between the WPP 2022 estimates and those from household deaths, both provide a picture of an increase in the probability of dying among adults during the pandemic period. This is not reflected in estimates made using the sibling survival method. Contribution: Despite small sample size and irregularities in age-specific estimates, our work shows that survey questions on household deaths have a great potential for informing adult mortality over time in countries with deficient CRVS systems.

Suggested Citation

  • José Henrique Costa Monteiro da Silva & Helena Cruz Castanheira, 2024. "Using household death questions from surveys to assess adult mortality in periods of health crisis: An application for Peru, 2018–2022," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 51(8), pages 215-228.
  • Handle: RePEc:dem:demres:v:51:y:2024:i:8
    DOI: 10.4054/DemRes.2024.51.8
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    References listed on IDEAS

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    1. Bruno Lankoandé & Bruno Masquelier & Pascal Zabre & Hélène Bangré & Géraldine Duthé & Abdramane B. Soura & Gilles Pison & Sié Ali, 2022. "Estimating mortality from census data: A record-linkage study of the Nouna Health and Demographic Surveillance System in Burkina Faso," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(22), pages 653-680.
    2. John Wilmoth & Sarah Zureick & Vladimir Canudas-Romo & Mie Inoue & Cheryl Sawyer, 2012. "A flexible two-dimensional mortality model for use in indirect estimation," Population Studies, Taylor & Francis Journals, vol. 66(1), pages 1-28.
    3. Bruno Masquelier, 2013. "Adult Mortality From Sibling Survival Data: A Reappraisal of Selection Biases," Demography, Springer;Population Association of America (PAA), vol. 50(1), pages 207-228, February.
    4. Bruno Masquelier & Mufaro Kanyangarara & Gilles Pison & Almamy Malick Kanté & Cheikh Tidiane Ndiaye & Laetitia Douillot & Géraldine Duthé & Cheikh Sokhna & Valérie Delaunay & Stéphane Helleringer, 2021. "Errors in reported ages and dates in surveys of adult mortality: A record linkage study in Niakhar (Senegal)," Population Studies, Taylor & Francis Journals, vol. 75(2), pages 269-287, May.
    5. Arun Hendi, 2023. "Estimation of confidence intervals for decompositions and other complex demographic estimators," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 49(5), pages 83-108.
    6. William Msemburi & Ariel Karlinsky & Victoria Knutson & Serge Aleshin-Guendel & Somnath Chatterji & Jon Wakefield, 2023. "The WHO estimates of excess mortality associated with the COVID-19 pandemic," Nature, Nature, vol. 613(7942), pages 130-137, January.
    7. Stéphane Helleringer & Gilles Pison & Almamy Kanté & Géraldine Duthé & Armelle Andro, 2014. "Reporting Errors in Siblings’ Survival Histories and Their Impact on Adult Mortality Estimates: Results From a Record Linkage Study in Senegal," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 387-411, April.
    8. Kenneth Hill & Yoonjoung Choi & Ian Timæus, 2005. "Unconventional approaches to mortality estimation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 13(12), pages 281-300.
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    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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