Seasonal variations in child mortality during the 2014-2015 Ebola epidemic in Sierra Leone

Joseph Sam Kanu1, Mohamed A Vandi2, Caleb L Ward3

  • 1Ministry of Health, Freetown, Sierra Leone; College of Medicine and Allied Health Sciences, University of Sierra Leone, Freetown, Sierra Leone.

Annals of Epidemiology
|August 17, 2025
PubMed

Insights

More child deaths and stillbirths occurred during Sierra Leone's rainy season, highlighting the need for improved child healthcare. Targeted interventions can help mitigate seasonal health impacts.

Area of Science:

  • Public Health
  • Epidemiology
  • Pediatrics

Background:

  • Under-five mortality is a critical indicator of child health and healthcare quality.
  • The impact of seasonality on under-five mortality, stillbirths, and infant deaths is not well understood.
  • This study examines seasonal variations in mortality during Sierra Leone's 2014-2015 Ebola outbreak.

Purpose of the Study:

  • To review seasonal variations in mortality among infants, children under five, and stillbirths in Sierra Leone.
  • To analyze mortality data collected continuously during the 2014-2015 Ebola outbreak.

Main Methods:

  • Utilized Ebola and non-Ebola death data from various sources, including call centers and laboratory records.
  • Data was categorized into dry and rainy seasons.
  • Statistical analyses included the Cochran-Mantel-Haenszel test, Joinpoint Regression Program, and Student's t-test.

Main Results:

  • Ebola Virus Disease (EVD)-positive deaths significantly decreased during the study period, with few occurring in the rainy season.
  • A significant increase in non-Ebola deaths was observed during the rainy season.
  • Approximately 60-68% of deaths among children under five and stillbirths occurred during the rainy season.

Conclusions:

  • Child deaths and stillbirths were higher during the rainy season compared to the dry season.
  • Findings underscore the need to strengthen child healthcare systems to address seasonal mortality effects.
  • Recommended interventions include improved healthcare access, seasonal malaria chemoprevention, and enhanced vaccination programs.
Abstract

Related Concept Videos

Applications of Life Tables01:22

Applications of Life Tables

Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
124
Cross-reactivity00:42

Cross-reactivity

Overview
31.5K
Life Tables01:22

Life Tables

A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
194
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
676
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
135
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
834