100 Public Health Dissertation Topics for the Academic Year 2025-26

Are you a public health student looking for fresh, relevant dissertation topics that align with current industry trends? In the rapidly evolving world of public health, choosing the right dissertation topic can be the key to producing impactful research. Whether you’re interested in epidemiology, health policy, mental health, or global health challenges, this comprehensive list of 100 public health dissertation topics provides a wealth of ideas. Each topic is paired with suggestions for research methods—whether qualitative, quantitative, or mixed methods—helping you get a head start on your data collection process. Dive in to explore the most pressing public health issues today!

  1. The impact of climate change on the spread of vector-borne diseases
    • Type: Quantitative
    • Data Collection Tool: Geographic Information Systems (GIS) analysis, disease incidence records, climate data.
  2. Epidemiological trends in COVID-19 recovery rates and long-term health outcomes
    • Type: Quantitative
    • Data Collection Tool: Patient health records, national or regional health databases.
  3. Vaccine hesitancy in low-income populations: Causes and public health strategies
    • Type: Qualitative
    • Data Collection Tool: Interviews, focus groups, thematic analysis of community feedback.
  4. The role of telemedicine in managing chronic diseases during pandemics
    • Type: Mixed Methods
    • Data Collection Tool: Surveys for patients (quantitative) and interviews with healthcare providers (qualitative).
  5. Evaluation of surveillance systems for emerging infectious diseases
    • Type: Quantitative
    • Data Collection Tool: Review of surveillance data, performance metrics analysis.
  6. Understanding the re-emergence of diseases like measles in developed countries
    • Type: Qualitative
    • Data Collection Tool: Focus group discussions, expert interviews, content analysis.
  7. Public health interventions for controlling antibiotic-resistant bacteria
    • Type: Quantitative
    • Data Collection Tool: Hospital records, antibiotic use and resistance data, statistical analysis.
  8. Effectiveness of rapid diagnostic testing in outbreak containment
    • Type: Quantitative
    • Data Collection Tool: Patient testing data, outbreak case studies, statistical evaluation.
  1. Addressing health inequalities in developing nations through universal healthcare
    • Type: Mixed Methods
    • Data Collection Tool: Policy review (qualitative), health outcome statistics (quantitative), interviews with health administrators.
  2. Maternal health challenges in low-resource settings: A case study of Sub-Saharan Africa
  • Type: Qualitative
  • Data Collection Tool: Case studies, interviews with healthcare providers and mothers.
  1. The role of international aid in improving healthcare infrastructure in conflict zones
  • Type: Qualitative
  • Data Collection Tool: Interviews with NGOs and healthcare workers, document analysis of aid programs.
  1. Sustainable healthcare practices in post-conflict regions
  • Type: Qualitative
  • Data Collection Tool: Case studies, interviews with local health authorities, thematic analysis.
  1. Evaluating the effectiveness of community-based health programs in rural areas
  • Type: Quantitative
  • Data Collection Tool: Health program outcome data, pre- and post-intervention surveys.
  1. Assessing the success of HIV/AIDS prevention programs in Sub-Saharan Africa
  • Type: Quantitative
  • Data Collection Tool: National HIV incidence data, program implementation reports.
  1. Global response to emerging infectious diseases: Lessons from the COVID-19 pandemic
  • Type: Mixed Methods
  • Data Collection Tool: Health data analysis (quantitative), policy review and interviews (qualitative).
  1. The effect of cultural beliefs on health-seeking behavior in rural India
  • Type: Qualitative
  • Data Collection Tool: Interviews, ethnographic research, community observations.
  1. The role of diet and physical activity in preventing cardiovascular diseases
  • Type: Quantitative
  • Data Collection Tool: Surveys, health records, physical activity trackers.
  1. Public health strategies to address obesity in urban populations
  • Type: Quantitative
  • Data Collection Tool: National health surveys, BMI data, diet and exercise questionnaires.
  1. Smoking cessation programs: A comparative analysis of their effectiveness
  • Type: Quantitative
  • Data Collection Tool: Program participation records, quit rates, statistical analysis.
  1. Socioeconomic factors influencing diabetes management in developing countries
  • Type: Mixed Methods
  • Data Collection Tool: Health outcome data (quantitative), interviews with patients and healthcare workers (qualitative).
  1. The role of health education in managing hypertension in older adults
  • Type: Qualitative
  • Data Collection Tool: Focus groups, semi-structured interviews, thematic analysis.
  1. Impact of community-based exercise programs on mental health
  • Type: Quantitative
  • Data Collection Tool: Pre- and post-program mental health assessments, participation data.
  1. Evaluating the long-term effects of bariatric surgery on obesity-related diseases
  • Type: Quantitative
  • Data Collection Tool: Patient health records, statistical health outcome analysis.
  1. Effectiveness of mindfulness and meditation in managing chronic pain
  • Type: Qualitative
  • Data Collection Tool: Patient interviews, thematic analysis of pain management experiences.
  1. The effectiveness of public health campaigns in reducing alcohol consumption
  • Type: Quantitative
  • Data Collection Tool: Survey data, national health statistics, alcohol sales data.
  1. Evaluating the impact of health insurance on access to healthcare in the U.S.
  • Type: Quantitative
  • Data Collection Tool: Health insurance coverage data, healthcare utilization records.
  1. Health systems strengthening: Strategies for achieving universal health coverage
  • Type: Mixed Methods
  • Data Collection Tool: Policy analysis (qualitative), health access statistics (quantitative).
  1. Implementation of electronic health records in improving patient outcomes
  • Type: Quantitative
  • Data Collection Tool: Hospital records, patient outcome data, system performance metrics.
  1. Cost-effectiveness of telemedicine in rural healthcare delivery
  • Type: Quantitative
  • Data Collection Tool: Cost-benefit analysis, healthcare utilization statistics.
  1. The role of leadership in healthcare organization performance
  • Type: Qualitative
  • Data Collection Tool: Interviews with healthcare leaders, case study analysis.
  1. Comparative analysis of healthcare systems: The U.S. vs. Europe
  • Type: Quantitative
  • Data Collection Tool: Comparative health outcome data, healthcare expenditure analysis.
  1. Health policy responses to non-communicable diseases in low-income countries
  • Type: Mixed Methods
  • Data Collection Tool: Policy review (qualitative), disease incidence data (quantitative).
  1. The impact of social media on adolescent mental health
  • Type: Quantitative
  • Data Collection Tool: Surveys on social media usage and mental health assessments.
  1. Barriers to mental health care access in minority populations
  • Type: Qualitative
  • Data Collection Tool: Interviews, focus groups, thematic analysis.
  1. Mental health outcomes of frontline healthcare workers during the COVID-19 pandemic
  • Type: Mixed Methods
  • Data Collection Tool: Surveys (quantitative) and in-depth interviews (qualitative).
  1. Cultural perceptions of mental health in immigrant communities
  • Type: Qualitative
  • Data Collection Tool: Ethnographic research, interviews, focus groups.
  1. Effectiveness of online mental health counseling services for university students
  • Type: Quantitative
  • Data Collection Tool: Surveys, mental health outcome assessments.
  1. Mental health stigma and its impact on help-seeking behavior in rural populations
  • Type: Qualitative
  • Data Collection Tool: Interviews, focus group discussions.
  1. Comparing mental health care models in high-income vs. low-income countries
  • Type: Quantitative
  • Data Collection Tool: Mental health care access and outcome data comparison.
  1. The role of family support in managing depression among elderly patients
  • Type: Qualitative
  • Data Collection Tool: Interviews, thematic analysis of family dynamics.
  1. The effectiveness of prenatal education programs on birth outcomes
  • Type: Quantitative
  • Data Collection Tool: Birth outcome data, program participation records, statistical analysis.
  1. Barriers to accessing maternal healthcare in rural areas
  • Type: Qualitative
  • Data Collection Tool: In-depth interviews with mothers and healthcare providers, thematic analysis.
  1. The impact of breastfeeding education on infant health in low-income populations
  • Type: Quantitative
  • Data Collection Tool: Health outcome data of infants, breastfeeding initiation rates.
  1. Postpartum depression in low-income women: Risk factors and intervention strategies
  • Type: Mixed Methods
  • Data Collection Tool: Surveys (quantitative) and in-depth interviews (qualitative) with new mothers.
  1. The role of community health workers in improving child vaccination rates
  • Type: Quantitative
  • Data Collection Tool: Vaccination records, community health worker program data.
  1. Analyzing the causes and effects of maternal mortality in Sub-Saharan Africa
  • Type: Mixed Methods
  • Data Collection Tool: Maternal mortality statistics (quantitative) and interviews with healthcare providers (qualitative).
  1. Teen pregnancy prevention programs: Evaluating their effectiveness in urban schools
  • Type: Quantitative
  • Data Collection Tool: Pre- and post-intervention data from program participants, statistical analysis.
  1. Impact of maternal nutrition programs on birth outcomes in developing countries
  • Type: Quantitative
  • Data Collection Tool: Health outcome records, program participation data.
  1. The impact of air pollution on respiratory diseases in urban populations
  • Type: Quantitative
  • Data Collection Tool: Air quality data, health records of respiratory disease patients, statistical correlation.
  1. Workplace mental health programs: A comparative analysis of their effectiveness in different industries
  • Type: Mixed Methods
  • Data Collection Tool: Surveys (quantitative) and interviews (qualitative) with employees and managers.
  1. Occupational hazards in healthcare: Analyzing the risks for nurses in emergency departments
  • Type: Quantitative
  • Data Collection Tool: Incident reports, surveys on perceived risk, injury and illness records.
  1. Water contamination and its impact on public health in rural communities
  • Type: Quantitative
  • Data Collection Tool: Water quality testing, health records, epidemiological analysis.
  1. Effects of climate change on occupational health in outdoor workers
  • Type: Mixed Methods
  • Data Collection Tool: Surveys (quantitative) and focus groups (qualitative) with outdoor workers.
  1. Noise pollution and its effects on the mental health of urban dwellers
  • Type: Quantitative
  • Data Collection Tool: Noise level data, surveys on mental health status, statistical analysis.
  1. The role of green spaces in improving urban public health outcomes
  • Type: Quantitative
  • Data Collection Tool: Health surveys, green space accessibility data, statistical modeling.
  1. The effectiveness of workplace ergonomics programs in reducing musculoskeletal disorders
  • Type: Quantitative
  • Data Collection Tool: Employee health records, injury reports, program participation data.
  1. The role of mobile health (mHealth) applications in promoting physical activity
  • Type: Quantitative
  • Data Collection Tool: App usage data, pre- and post-intervention health assessments.
  1. Effectiveness of school-based health promotion programs in reducing childhood obesity
  • Type: Quantitative
  • Data Collection Tool: BMI records of students, program evaluation data.
  1. Barriers to adopting healthy eating habits in low-income communities
  • Type: Qualitative
  • Data Collection Tool: Focus groups, in-depth interviews, thematic analysis.
  1. Impact of mass media campaigns on smoking cessation rates
  • Type: Quantitative
  • Data Collection Tool: Surveys on smoking behaviors, campaign exposure, national health records.
  1. The influence of social media on health behaviors in adolescents
  • Type: Mixed Methods
  • Data Collection Tool: Surveys (quantitative) and focus groups (qualitative) with adolescents.
  1. The role of behavioral economics in promoting healthy lifestyle choices
  • Type: Quantitative
  • Data Collection Tool: Experimental data, behavioral intervention outcomes, health indicators.
  1. Evaluating the effectiveness of peer-led health promotion programs in colleges
  • Type: Mixed Methods
  • Data Collection Tool: Surveys (quantitative) and interviews (qualitative) with program participants.
  1. Social determinants of health: Understanding the link between education and health behaviors
  • Type: Quantitative
  • Data Collection Tool: Health behavior surveys, educational attainment data, statistical correlation.
  1. The role of electronic health records in improving patient safety
  • Type: Quantitative
  • Data Collection Tool: Hospital data, patient outcome metrics, error reporting systems.
  1. Evaluating the effectiveness of health information technology in managing chronic diseases
  • Type: Mixed Methods
  • Data Collection Tool: Patient outcome data (quantitative) and interviews with healthcare providers (qualitative).
  1. Telemedicine as a tool for reducing healthcare disparities in rural populations
  • Type: Quantitative
  • Data Collection Tool: Telemedicine utilization data, patient health outcomes, access to care metrics.
  1. The impact of wearable technology on monitoring and improving physical fitness
  • Type: Quantitative
  • Data Collection Tool: Wearable device data, pre- and post-intervention fitness assessments.
  1. Data privacy and security in health informatics: Patient perceptions and trust
  • Type: Qualitative
  • Data Collection Tool: Focus groups, interviews with patients and healthcare providers, thematic analysis.
  1. Artificial intelligence in predictive healthcare: Opportunities and challenges
  • Type: Mixed Methods
  • Data Collection Tool: Expert interviews (qualitative), analysis of predictive model outcomes (quantitative).
  1. The role of big data in early detection of infectious disease outbreaks
  • Type: Quantitative
  • Data Collection Tool: Analysis of big data sets from social media, hospital records, and surveillance systems.
  1. Assessing the usability of mobile health apps for elderly populations
  • Type: Qualitative
  • Data Collection Tool: Usability testing, interviews with elderly users, observational research.
  1. The impact of housing stability on health outcomes in urban populations
  • Type: Quantitative
  • Data Collection Tool: Health records, housing data, statistical analysis.
  1. Food insecurity and its impact on child development in low-income communities
  • Type: Mixed Methods
  • Data Collection Tool: Surveys (quantitative) and interviews (qualitative) with parents and teachers.
  1. Racial disparities in maternal healthcare: Causes and solutions
  • Type: Qualitative
  • Data Collection Tool: In-depth interviews, case studies, policy reviews.
  1. The role of education in reducing health disparities in underserved populations
  • Type: Quantitative
  • Data Collection Tool: Health outcome data, educational attainment records, statistical correlation.
  1. Assessing the effectiveness of community-based health initiatives in reducing racial disparities
  • Type: Qualitative
  • Data Collection Tool: Interviews with community leaders, program participants, and public health officials.
  1. Healthcare access barriers for immigrant populations in the U.S.
  • Type: Qualitative
  • Data Collection Tool: Focus groups, interviews with immigrants and healthcare providers.
  1. Evaluating the impact of universal basic income on public health outcomes
  • Type: Quantitative
  • Data Collection Tool: National income data, health outcome metrics, statistical analysis.
  1. Public health implications of environmental justice in marginalized communities
  • Type: Qualitative
  • Data Collection Tool: Case studies, interviews with affected populations, environmental data.
  1. Impact of social isolation on mental health in elderly populations
  • Type: Qualitative
  • Data Collection Tool: Interviews, focus groups with elderly individuals, thematic analysis.
  1. Effectiveness of fall prevention programs in reducing injuries among the elderly
  • Type: Quantitative
  • Data Collection Tool: Hospital injury records, program participation data, pre- and post-program assessments.
  1. Challenges in managing multi-morbidity in aging populations
  • Type: Mixed Methods
  • Data Collection Tool: Health outcome data (quantitative) and interviews with healthcare providers (qualitative).
  1. The role of caregivers in improving the quality of life for dementia patients
  • Type: Qualitative
  • Data Collection Tool: Interviews with caregivers, patient health records, thematic analysis.
  1. Assessing the effectiveness of community-based exercise programs for the elderly
  • Type: Quantitative
  • Data Collection Tool: Physical health assessments, program participation data.
  1. Age-friendly city initiatives: Evaluating public health impacts for elderly residents
  • Type: Mixed Methods
  • Data Collection Tool: Surveys (quantitative), interviews with city planners and residents (qualitative).
  1. The role of public health messaging in vaccine uptake: Lessons from COVID-19
  • Type: Quantitative
  • Data Collection Tool: Survey data on vaccine perceptions, vaccination rates, media exposure analysis.
  1. Social media as a tool for public health education in young adults
  • Type: Quantitative
  • Data Collection Tool: Social media usage data, health literacy assessments.
  1. Barriers to effective health communication in rural populations
  • Type: Qualitative
  • Data Collection Tool: Interviews with community members, thematic analysis of communication materials.
  1. Crisis communication during pandemics: Evaluating government strategies
  • Type: Mixed Methods
  • Data Collection Tool: Content analysis of government communications (qualitative), public surveys on trust and response (quantitative).
  1. Impact of misinformation on public health during epidemics
  • Type: Mixed Methods
  • Data Collection Tool: Social media data analysis (quantitative), interviews with public health officials (qualitative).
  1. Digital health literacy: Improving patient understanding through online platforms
  • Type: Mixed Methods
  • Data Collection Tool: Usability testing (qualitative), surveys on digital health comprehension (quantitative).
  1. Evaluating the effectiveness of comprehensive sex education in reducing teen pregnancy rates
  • Type: Quantitative
  • Data Collection Tool: Pre- and post-program surveys, national teen pregnancy statistics.
  1. Barriers to accessing reproductive health services for LGBTQ+ individuals
  • Type: Qualitative
  • Data Collection Tool: Interviews, focus groups with LGBTQ+ individuals and healthcare providers.
  1. The impact of family planning programs on maternal health in developing countries
  • Type: Quantitative
  • Data Collection Tool: Health outcome data, program participation records, statistical analysis.
  1. Analyzing the success of HIV prevention programs targeting high-risk populations
  • Type: Quantitative
  • Data Collection Tool: Program data, health outcomes, pre- and post-intervention analysis.
  1. The role of contraception access in reducing unintended pregnancies in low-income populations
  • Type: Quantitative
  • Data Collection Tool: Health outcome data, access to contraception records.
  1. Challenges in providing reproductive health education to adolescents in conservative societies
  • Type: Qualitative
  • Data Collection Tool: Focus groups with adolescents, interviews with educators and parents.
  1. The role of gender equality in improving sexual and reproductive health outcomes
  • Type: Qualitative
  • Data Collection Tool: Interviews with public health officials, thematic analysis of health policies.
  1. Evaluating the impact of STI prevention campaigns in reducing infection rates among young adults
  • Type: Quantitative
  • Data Collection Tool: National STI incidence data, campaign exposure analysis.

This list provides a comprehensive range of topics across various public health disciplines. Each topic is accompanied by a suggested research method (qualitative, quantitative, or mixed methods) and data collection tools, providing a strong foundation for developing a public health dissertation.

In conclusion, selecting a relevant and timely public health dissertation topic is essential for crafting impactful research that contributes to the field. Whether you’re focusing on global health, mental health, or the role of technology in healthcare, choosing the right topic sets the stage for success. With a wide range of qualitative, quantitative, and mixed-method options available, you have the flexibility to tailor your research to your interests and goals.

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