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Department of Epidemiology

Advancing research in disease patterns, population health, preventive medicine, and epidemiological methods.

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Department Overview

Aims and Scope

The Department of Epidemiology of The Gazette of Medical Sciences (The GMS) aims to advance scientific understanding of the distribution, determinants and consequences of health and disease in human populations. The Department welcomes original research, review articles, systematic reviews, meta-analyses, methodological investigations and evidence-based perspectives across the broad spectrum of epidemiology. Its objective is to encourage rigorous epidemiological research that contributes to disease prevention, clinical decision-making, population health assessment and the development of effective public health policies and interventions.

The Department encourages investigations into the epidemiology of communicable and noncommunicable diseases, including infectious disease transmission, outbreak dynamics, chronic disease burden, cancer epidemiology, cardiovascular and metabolic disorders, neurological conditions, mental health and emerging health threats. Studies examining disease incidence, prevalence, mortality, morbidity, risk factors, health inequalities and temporal or geographical patterns are particularly welcome. Research involving surveillance systems, population-based cohorts, case-control investigations, cross-sectional studies and longitudinal analyses is encouraged where appropriate methodological standards are maintained.

An important focus of the Department is the development, evaluation and application of epidemiological and biostatistical methods. Contributions may address study design, causal inference, confounding, selection bias, measurement error, predictive modeling, survival analysis, spatial epidemiology, molecular epidemiology, genetic epidemiology and the integration of large-scale health datasets. The Department also welcomes research involving computational epidemiology, mathematical modeling, artificial intelligence, machine learning, health informatics and data science, particularly where these approaches improve the interpretation of population health patterns or support evidence-based decisions.

The Department supports interdisciplinary research connecting epidemiology with clinical medicine, preventive medicine, environmental health, occupational health, nutrition, health economics, sociology, behavioural sciences and public health policy. Relevant studies may examine environmental exposures, social determinants of health, healthcare access, vaccination programmes, screening strategies, treatment outcomes, health service utilization and the effectiveness of preventive interventions. Clinical epidemiology, pharmacoepidemiology, comparative effectiveness research and the epidemiological evaluation of healthcare programmes are also within the Department's scope.

The Department seeks scholarly contributions that demonstrate methodological transparency, scientific integrity, appropriate statistical analysis and clear relevance to epidemiological knowledge or practice. Authors are encouraged to define research questions precisely, justify study designs, address potential sources of bias, acknowledge limitations and distinguish observed associations from causal conclusions. Contributions involving human participants or identifiable health information should comply with applicable ethical and confidentiality requirements. Through independent editorial assessment and peer review, the Department aims to strengthen scientific communication among epidemiologists, clinicians, public health researchers, educators and policymakers.

Areas of Interest

  • Infectious Diseases
  • Chronic Diseases
  • Clinical Research
  • Environmental Health
  • Occupational Health
  • Social Determinants of Health
  • Molecular and Genetic Studies
  • Nutrition and Population Health
  • Maternal and Child Health
  • Global Health
  • Public Health Surveillance
  • Outbreak Investigation and Response
  • Research Methods and Study Design
  • Biostatistics and Data Analysis
  • Health Economics and Outcomes Research
  • Computational Modeling
  • Preventive Medicine
  • Health Policy and Interventions
  • Clinical Epidemiology
  • Cancer Epidemiology
  • Cardiovascular Epidemiology
  • Metabolic Disease Epidemiology
  • Neurological Disease Epidemiology
  • Psychiatric Epidemiology
  • Pharmacoepidemiology
  • Genetic Epidemiology
  • Molecular Epidemiology
  • Spatial Epidemiology
  • Social Epidemiology
  • Life Course Epidemiology
  • Ageing and Geriatric Epidemiology
  • Reproductive Epidemiology
  • Nutritional Epidemiology
  • Climate and Health Epidemiology
  • Vaccine Epidemiology
  • Screening and Early Detection
  • Causal Inference
  • Longitudinal and Cohort Studies
  • Survival Analysis
  • Comparative Effectiveness Research
  • Predictive Epidemiological Modeling
  • Digital Epidemiology
Research & Reviews

Published Articles

Review Article

Africa’s COVID-19 third wave: A coupled behavior-disease system in a mutual feedback loop

A year after COVID-19 was declared a pandemic much of the Africa continent started experiencing spikes in the number of COVID-19 cases and related deaths in what was referred to as the third wave of the pandemic. These spikes came right behind the heels of a second wave of the pandemic that barely went unnoticed in Africa.

DOI: https://www.doi.org/10.46766/thegms.epidemiol.21101704
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Please direct any enquiries or submit papers to: info@thegms.co

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The Gazette of Medical Sciences
Publication & Beyond

An international, online, open-access, peer-reviewed journal publishing scholarly work in the medical sciences and related domains.

ISSN 2692-4374 • DOI Prefix 10.46766
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