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Challenge of epidemiological research in the developing world: overview
1Nova Scotia Hearing and Speech Clinic and School of Human Communication Disorders, Dalhousie University, Halifax, Canada.
Epidemiological research on childhood hearing loss faces challenges in developing nations. The global average incidence of sensorineural hearing loss in children is approximately 1.37 per 1,000 individuals.
Area of Science:
- Public Health
- Epidemiology
- Otolaryngology
Background:
- Hearing loss is a significant global health issue, particularly in children.
- Epidemiological research is crucial for understanding the scope and causes of hearing loss.
- Challenges exist in conducting robust research in resource-limited settings.
Purpose of the Study:
- To outline key aspects of epidemiological research pertinent to hearing loss.
- To identify and discuss difficulties in conducting hearing loss research in developing countries.
- To synthesize existing literature on the incidence and prevalence of childhood sensorineural hearing loss.
Main Methods:
- Review of eight critical aspects of epidemiological research for hearing loss.
- Discussion of various research methodologies applicable to hearing loss studies.
- Literature synthesis of global data on childhood hearing loss prevalence.
Main Results:
- Identified significant challenges in conducting epidemiological research in developing regions.
- Highlighted the importance of diverse research formats for accurate data collection.
- Compiled findings on sensorineural hearing loss in children from 34 nations.
Conclusions:
- The average prevalence of sensorineural hearing loss in children across 34 nations is 1.368 per 1,000.
- Addressing research barriers in developing countries is essential for global hearing health.
- Continued epidemiological surveillance is vital for effective hearing loss prevention and management.
Related Concept Videos
Introduction to Epidemiology
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Causality in Epidemiology
Confounding in Epidemiological Studies
Bias in Epidemiological Studies
Statistical Methods for Analyzing Epidemiological Data

