Estimating influenza and respiratory syncytial virus-associated mortality in Western Kenya using health and demographic surveillance system data, 2007-2013

PLoS One. 2017 Jul 7;12(7):e0180890. doi: 10.1371/journal.pone.0180890. eCollection 2017.

Abstract

Background: Influenza and respiratory syncytial virus (RSV) associated mortality has not been well-established in tropical Africa.

Methods: We used the negative binomial regression method and the rate-difference method (i.e. deaths during low and high influenza/RSV activity months), to estimate excess mortality attributable to influenza and RSV using verbal autopsy data collected through a health and demographic surveillance system in Western Kenya, 2007-2013. Excess mortality rates were calculated for a) all-cause mortality, b) respiratory deaths (including pneumonia), c) HIV-related deaths, and d) pulmonary tuberculosis (TB) related deaths.

Results: Using the negative binomial regression method, the mean annual all-cause excess mortality rate associated with influenza and RSV was 14.1 (95% confidence interval [CI] 0.0-93.3) and 17.1 (95% CI 0.0-111.5) per 100,000 person-years (PY) respectively; and 10.5 (95% CI 0.0-28.5) and 7.3 (95% CI 0.0-27.3) per 100,000 PY for respiratory deaths, respectively. Highest mortality rates associated with influenza were among ≥50 years, particularly among persons with TB (41.6[95% CI 0.0-122.7]); and with RSV were among <5 years. Using the rate-difference method, the excess mortality rate for influenza and RSV was 44.8 (95% CI 36.8-54.4) and 19.7 (95% CI 14.7-26.5) per 100,000 PY, respectively, for all-cause deaths; and 9.6 (95% CI 6.3-14.7) and 6.6 (95% CI 3.9-11.0) per 100,000 PY, respectively, for respiratory deaths.

Conclusions: Our study shows a substantial excess mortality associated with influenza and RSV in Western Kenya, especially among children <5 years and older persons with TB, supporting recommendations for influenza vaccination and efforts to develop RSV vaccines.

MeSH terms

  • Adolescent
  • Adult
  • Age Distribution
  • Aged
  • Cause of Death / trends
  • Child
  • Child, Preschool
  • Female
  • HIV Infections / epidemiology
  • HIV Infections / mortality*
  • Humans
  • Infant
  • Influenza, Human / epidemiology
  • Influenza, Human / mortality*
  • Kenya / epidemiology
  • Male
  • Middle Aged
  • Pneumonia, Viral / epidemiology
  • Pneumonia, Viral / mortality*
  • Public Health Surveillance
  • Regression Analysis
  • Respiratory Syncytial Virus Infections / epidemiology
  • Respiratory Syncytial Virus Infections / mortality*
  • Respiratory Syncytial Virus, Human / pathogenicity
  • Respiratory Syncytial Virus, Human / physiology
  • Survival Analysis
  • Tuberculosis, Pulmonary / epidemiology
  • Tuberculosis, Pulmonary / mortality*

Grants and funding

This work was supported by The Kenya Medical Research Institute and U.S. Centers for Disease Control and Prevention research collaboration. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.