Influenza-associated excess mortality in the Philippines, 2006-2015

PLoS One. 2020 Jun 17;15(6):e0234715. doi: 10.1371/journal.pone.0234715. eCollection 2020.

Abstract

Influenza-associated mortality has not been quantified in the Philippines. Here, we constructed multiple negative binomial regression models to estimate the overall and age-specific excess mortality rates (EMRs) associated with influenza in the Philippines from 2006 to 2015. The regression analyses used all-cause mortality as the dependent variable and meteorological controls, time, influenza A and B positivity rates (lagged for up to two time periods), and annual and semiannual cyclical seasonality controls as independent variables. The regression models closely matched observed all-cause mortality. Influenza was estimated to account for a mean of 5,347 excess deaths per year (1.1% of annual all-cause deaths) in the Philippines, most of which (67.1%) occurred in adults aged ≥60 years. Influenza A accounted for 85.7% of all estimated excess influenza deaths. The annual estimated influenza-attributable EMR was 5.09 (95% CI: 2.20-5.09) per 100,000 individuals. The EMR was highest for individuals aged ≥60 years (44.63 [95% CI: 4.51-44.69] per 100,000), second highest for children aged less than 5 years (2.14 [95% CI: 0.44-2.19] per 100,000), and lowest for individuals aged 10 to 19 years (0.48 [95% CI: 0.10-0.50] per 100,000). Estimated numbers of excess influenza-associated deaths were considerably higher than the numbers of influenza deaths registered nationally. Our results suggest that influenza causes considerable mortality in the Philippines-to an extent far greater than observed from national statistics-especially among older adults and young children.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Child
  • Child, Preschool
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Influenza, Human / epidemiology
  • Influenza, Human / mortality*
  • Male
  • Middle Aged
  • Philippines / epidemiology
  • Registries / statistics & numerical data
  • Regression Analysis
  • Retrospective Studies
  • Young Adult

Grants and funding

Research funding was provided by Sanofi Pasteur. The funder also provided support in the form of salaries for authors (JN and RD), but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. All authors had full access to the data in the study and take responsibility for the integrity of the data and accuracy of its analysis.