Public Health Dissertation Topics: Free Research Ideas, Questions and Methods

A strong public health dissertation topic names a population, an exposure or policy, an outcome and a dataset you can open before your deadline. Below we give 50 free topics. Each one has a narrowed research idea, a research question and a method, and most point to open data from England’s public health bodies or the WHO. Use any topic as it stands or adapt it for your own project.
Public health studies populations, not individual patients: who becomes ill, why, and what changes it. That is why many good projects use published data, document analysis or a structured review instead of patient records.
Five checks before you commit to a topic
- Population and place: for example adults in England, or children in lower-middle-income countries.
- Exposure, policy or service: the thing you are comparing or evaluating.
- One measurable outcome: an indicator, a rate, a waiting time or a coded theme.
- Data you have already opened: confirm the years, geography and variables exist before you write the proposal.
- An approval route: agree it with your supervisor early. The ethics section below explains why.
For the general steps, see our guide on how to choose a dissertation topic.
Open data you can use for a public health dissertation
Most topics below use one of these sources. Check each source’s licence and current location before you cite it.
| Source | What it holds | Access notes |
|---|---|---|
| Fingertips | Local area indicators across public health themes, shown against comparators, run by the Office for Health Improvement and Disparities. | Open Government Licence. The site says a replacement service, Find public health data, is being developed, so confirm where the data now sits. |
| UKHSA data dashboard | Surveillance topics including respiratory viruses, healthcare-associated infections, antimicrobial resistance, childhood vaccination coverage, measles and heat-health alerts. | Open Government Licence. The service has an API. |
| ONS healthy life expectancy by area deprivation | Healthy life expectancy by area deprivation, England deciles and Wales quintiles, from 2013 to 2015 to 2022 to 2024. | Open Government Licence. Labelled official statistics in development, and results are not comparable between England and Wales. |
| English Indices of Deprivation 2025 | Relative deprivation for 33,755 small areas in England, built from seven domains into the Index of Multiple Deprivation 2025. Published by MHCLG on 30 October 2025. | Accredited official statistics. |
| NHS England statistics | Accident and emergency, ambulance quality, cancer waiting times, referral to treatment waiting times, the GP Patient Survey, the NHS Staff Survey and more. | Free to download. Some series are labelled management information, not official statistics. |
| Health Survey for England (via the UK Data Service) | An annual survey of health and lifestyle in England, including general health, long-standing illness, smoking and drinking. | Requires UK Data Service registration. Access is limited by location and purpose and commercial use is not allowed, so read the licence. |
| WHO Global Health Observatory | Over 1,000 health indicators for 194 Member States, grouped by theme such as immunization, tobacco control and water, sanitation and hygiene. | Open, with an API. |
| Global Burden of Disease | Estimates of health loss by cause and risk factor across countries. | Check which round is current and the terms of use. Do not assume the latest round; the public overview page can lag behind. |
From a statistic to a research question: the healthy life expectancy gap
A statistic becomes a topic when you can say who, where, compared with what, and measured how. Take these figures from the ONS healthy life expectancy by area deprivation bulletin, released on 15 April 2026. They cover England in 2022 to 2024 and group small areas into ten equal-sized deprivation groups (deciles) using the Index of Multiple Deprivation 2025. Healthy life expectancy is the number of years a person can expect to live in good health.
| England, 2022 to 2024 | Males | Females |
|---|---|---|
| Healthy life expectancy at birth, most deprived tenth of areas | 49.8 years | 48.2 years |
| Healthy life expectancy at birth, least deprived tenth of areas | 69.2 years | 68.5 years |
| Gap between the two tenths (simple difference) | 19.4 years | 20.3 years |
| Slope Index of Inequality (gap across all ten groups) | 19.3 years | 20.1 years |
In plain words: a man born in the most deprived tenth of areas can expect about 50 years in good health, against about 69 in the least deprived tenth. For women the gap is a little wider. The same bulletin shows women in the most deprived tenth spend about 62% of life in good health, against 68% for men. Health status is self-reported, deprivation is measured for areas and not for individuals, and the bulletin says some changes since 2019 to 2021 are statistically uncertain, so any claim you make has to respect these limits.
Here is how that single table narrows step by step:
- Broad field: health inequalities.
- Narrower: the deprivation gap in healthy life expectancy.
- Focused: why the gap in healthy years is wider for women than for men.
- Question: how has the gap between the most and least deprived tenths changed for women and for men across the releases, and is the change larger than the uncertainty?
- Method: secondary analysis of the ONS series, comparing absolute gaps and confidence intervals over time.
WHO describes social determinants as the conditions in which people are born, grow, live, work and age, and links them to unfair and avoidable differences in health. That framing gives you the theory for a topic like this one, and the Marmot Review, Fair Society, Healthy Lives gives you six policy objectives to test it against.
50 public health dissertation topics with research ideas, questions and methods
Numbers run across the whole list so you can refer to a topic by its number when you talk to your supervisor.
Health inequalities and social determinants
These topics suit students who want to work with area-level data or with published strategies. None needs participants.
- Is the healthy life expectancy gap wider for women than for men?
Research idea: In the 2022 to 2024 ONS estimates the gap between the most and least deprived tenths is slightly wider for women than for men. Test whether that difference holds across releases and is larger than the uncertainty.
Research question: How does the deprivation gap in healthy life expectancy differ between women and men in England, and has it changed across ONS releases?
Method: Secondary analysis of the ONS healthy life expectancy series. Compare absolute gaps and the Slope Index of Inequality across release periods with confidence intervals, and discuss self-reported health. - Income deprivation affecting children and child health indicators
Research idea: The 2025 Indices of Deprivation include a measure of income deprivation affecting children. Link it to child and maternal health indicators published for local authorities.
Research question: Is higher income deprivation affecting children associated with worse values on two or three chosen child health indicators across English local authorities?
Method: Ecological cross-sectional analysis using the Indices of Deprivation 2025 and the Fingertips child and maternal health profiles. Use correlation and regression, report against STROBE, and name the ecological fallacy as a limit. - Living environment deprivation and respiratory health
Research idea: Test whether neighbourhood living conditions track respiratory health once income deprivation is held constant.
Research question: Do local authorities with higher living environment deprivation have higher rates of a chosen respiratory indicator after allowing for income deprivation?
Method: Local authority regression using Indices of Deprivation 2025 domain scores and one or two Fingertips indicators. Check for overlap between domains before you interpret coefficients. - Do local health strategies cover the Marmot objectives?
Research idea: The Marmot Review set six policy objectives for reducing health inequalities in England. Code local strategies against them to see which objectives get attention and which are missing.
Research question: Which of the six Marmot policy objectives do local health and wellbeing strategies address, and which do they leave out?
Method: Qualitative content analysis of four to six published strategies with a written coding frame. A second coder checks a sample. - Social connection in local plans and the WHO framing
Research idea: The WHO Commission on Social Connection published a report on loneliness and social isolation in 2025. Compare how local plans define and measure social connection with that report’s framing.
Research question: How do local authority plans define and measure social connection, and how closely does this match the WHO Commission’s framing?
Method: Documentary analysis of local plans using a comparison grid built from the WHO report. No participants are needed. - Smoking prevalence and stop-smoking service reach
Research idea: Services should reach the places where need is highest. Compare the area pattern of smoking with the area pattern of service use.
Research question: Is the reach of stop-smoking services proportionate to smoking prevalence across local authorities of different deprivation?
Method: Ecological analysis using the Fingertips smoking profile and the stop smoking service data explorer listed among the Fingertips analytical tools. Use scatter plots and regression. - Which inclusion health groups are visible in local data?
Research idea: Fingertips is designed to support local needs assessments, but some groups may barely appear in routine indicators. Audit what is measured and what is not.
Research question: Which inclusion health groups appear in routinely published local indicators, and which are missing?
Method: Data audit of Fingertips profiles plus a review of published local needs assessments, presented as a coverage matrix.
Health protection, surveillance and vaccination
The UKHSA data dashboard gives you weekly, monthly and annual series you can analyse without a single approval form.
- How much do weekly measles counts change after first publication?
Research idea: UKHSA states that reporting lag affects the most recent four weeks of measles data most. Measure how the count for the same week changes as later data arrive.
Research question: By how much do weekly laboratory-confirmed measles counts for England change between first publication and later revisions?
Method: Download the dashboard data through its API on a regular schedule over several weeks, then analyse the revisions descriptively. State that a short window limits what you can say. - Do MMR1 and 6-in-1 coverage trends move together?
Research idea: Compare the annual series for first MMR vaccine coverage by age 2 with 6-in-1 coverage by 12 months.
Research question: Have coverage trends for MMR1 at 24 months and the 6-in-1 vaccine at 12 months moved together over the period the dashboard provides, and where do they diverge?
Method: Descriptive time-series comparison using the UKHSA data dashboard, with a short literature review on possible reasons for divergence. - Antibiotic use in primary and secondary care: do the seasons match?
Research idea: UKHSA publishes separate antibiotic consumption series for primary and secondary care.
Research question: Do primary care and secondary care antibiotic consumption follow the same seasonal pattern?
Method: Time-series decomposition of the two consumption series, then compare the seasonal components. - Antibiotic resistance trends and antibiotic consumption
Research idea: Link the share of E. coli bloodstream isolates resistant to third-generation cephalosporins with national antibiotic consumption.
Research question: Does the trend in third-generation cephalosporin resistance in E. coli bloodstream isolates follow national antibiotic consumption trends, and with what lag?
Method: Lagged correlation of the monthly UKHSA series. State clearly that national trends cannot show cause. - Which early-warning source signals the winter respiratory rise first?
Research idea: UKHSA publishes syndromic surveillance from NHS 111, GP in-hours consultations and emergency departments alongside laboratory testing positivity.
Research question: Which syndromic source signals the start of the winter respiratory rise earliest compared with laboratory positivity?
Method: Cross-correlation of weekly series over one or more winters. Define what counts as the start of the rise before you look at the data. - Communication approaches to raise childhood vaccine uptake
Research idea: Map what has been tried and what outcomes were measured instead of asking which approach is best.
Research question: What communication approaches have been evaluated to raise childhood vaccine uptake in high-income countries, and what outcomes do they report?
Method: Scoping review reported against the PRISMA extension for scoping reviews, with a table of designs and outcomes.
Environment, climate and place
- Heat-health alerts and local action
Research idea: UKHSA runs a heat-health alert system for the regions of England. Examine what local plans say should happen when an alert is issued.
Research question: How do local authority and NHS heatwave plans describe the actions that follow a heat-health alert, and where are the gaps?
Method: Documentary analysis of a sample of published plans using a checklist of actions such as public messages, care homes, schools and outreach. - Childhood lead cases and a changed case definition
Research idea: UKHSA notes that the case definition for lead cases among children was updated in 2021. Examine how that affects what can be said about trends.
Research question: What can and cannot be concluded about trends in childhood lead cases in England when the case definition changed in 2021?
Method: Descriptive series split at the definition change, plus a short literature review on testing and referral practice. - Low-emission zones and children’s health outcomes
Research idea: Several cities restrict the most polluting vehicles. Map which child health outcomes studies have measured and how strong their designs are.
Research question: What outcomes have studies of low-emission zones measured in children, and how strong are the study designs?
Method: Scoping review with a simple design appraisal, reported against the PRISMA extension for scoping reviews.
Prevention and health behaviour
- Calorie labelling on out-of-home menus
Research idea: England requires calorie information on the menus of larger out-of-home food businesses. Examine how it is shown online.
Research question: How consistently and legibly do large food businesses display calorie information on their online menus?
Method: Content analysis of a sample of online menus using a coding sheet for position, format and completeness. Only public web content is used. - Soft drinks levy: reformulation or purchasing?
Research idea: Published evaluations of the UK soft drinks industry levy report different kinds of outcome. Map what has been measured.
Research question: What do published evaluations report about product reformulation and about consumer purchasing after the UK soft drinks levy?
Method: Systematic or scoping review reported against PRISMA, with a table of study designs and outcomes. - Smoking, drinking and self-rated health in adults
Research idea: The Health Survey for England records smoking, drinking and general health in the same people.
Research question: How does the co-occurrence of smoking and heavier drinking vary with age and sex, and how do both relate to self-rated general health?
Method: Cross-sectional secondary analysis of the Health Survey for England with survey weights, after UK Data Service registration. Report against STROBE.
Health systems, access and policy
NHS England publishes many series by organisation or region. These topics treat that variation as the thing to explain.
- Prevention in integrated care board plans
Research idea: Compare how much of each plan is about prevention and health inequalities and how much about treatment capacity.
Research question: What share of published integrated care board plans addresses prevention and health inequalities compared with treatment capacity?
Method: Content analysis of a sample of plans with a coding frame and paragraph counts. - Ambulance quality indicators across regions
Research idea: Ambulance quality indicators are published for England’s ambulance services.
Research question: How do ambulance quality indicators vary between regions over a chosen 24-month window, and does the variation persist after seasonal adjustment?
Method: Time-series analysis of the published indicators with seasonal adjustment. - Time to cancer treatment across regions
Research idea: Cancer waiting times describe how long referred patients wait for diagnosis and treatment.
Research question: How does time to treatment after urgent referral vary across regions, and how stable is that pattern across years?
Method: Descriptive regional comparison of published cancer waiting times data, with funnel plots or confidence intervals where the data allow. - GP patient experience and area deprivation
Research idea: The GP Patient Survey reports patient experience of general practice.
Research question: Is practice-level patient experience associated with the deprivation of the area the practice serves?
Method: Ecological regression linking GP Patient Survey results to area deprivation. Explain how you matched practices to areas. - Staff survey results and waiting times
Research idea: Compare how staff report their working lives with how long patients wait for planned care.
Research question: Do trusts with more positive NHS Staff Survey results have shorter referral to treatment waiting times once trust type and size are considered?
Method: Trust-level regression using NHS Staff Survey and referral to treatment data. Discuss why association is not cause. - Dental activity and area deprivation
Research idea: NHS England publishes information on commissioned dental activity measured in units of dental activity.
Research question: Is delivery of commissioned dental activity lower in more deprived commissioning areas?
Method: Area-level comparison of dental activity data with deprivation scores, with attention to how commissioning boundaries map onto areas.
Mental health at population level
Services data can show where mental health support is reached and where it is not, without asking a single patient.
- Crisis resolution and gatekeeping activity
Research idea: NHS England publishes activity measures for early intervention services, the care programme approach and gatekeeping by crisis resolution home treatment teams.
Research question: How do gatekeeping and crisis resolution home treatment activity measures vary between providers?
Method: Descriptive analysis of the published activity data with a comparison across providers and a discussion of reporting differences. - Waiting for first-episode psychosis treatment
Research idea: The early intervention in psychosis waiting times data count people who have accessed treatment and people still waiting.
Research question: How has the balance between people accessing treatment and people waiting changed over three years, and does it differ by region?
Method: Time-series analysis with regional breakdowns. - Physical health checks for people with severe mental illness
Research idea: NHS England publishes information on physical health checks for people with severe mental illness.
Research question: How does the proportion of people with severe mental illness who receive a physical health check vary across areas, and what local factors do published evaluations discuss?
Method: Descriptive comparison of the published data plus a focused review of local evaluations. - Children’s eating disorder waiting times: urgent and routine
Research idea: Waiting times data cover children and young people referred for suspected eating disorders on urgent or routine pathways.
Research question: Do urgent and routine referrals show different waiting patterns over time?
Method: Time-series comparison of the two pathways using published data. Present results with care for a sensitive topic. - Outcome measures in social prescribing evaluations
Research idea: Evaluations use many different outcome measures, which makes results hard to compare.
Research question: Which outcome measures do evaluations of social prescribing use, and how comparable are they?
Method: Scoping review with a table of measures, populations and follow-up periods, reported against PRISMA-ScR.
Maternal, child and adolescent health
- Breastfeeding and maternity management information: how reliable?
Research idea: NHS England labels its maternity and breastfeeding figures as management information, not official statistics. Ask what that means for comparisons.
Research question: How complete and consistent are breastfeeding initiation and 6 to 8 week feeding figures across providers, and how does that affect comparisons?
Method: Data-quality audit of the published figures, counting missing values and comparing definitions, followed by a sensitivity analysis. - Health visitor metrics and area deprivation
Research idea: Health visitor metrics are published as management information for England.
Research question: How do published health visitor metrics vary between areas, and is the variation related to area deprivation?
Method: Area-level comparison with deprivation scores and a clear statement of what management information can and cannot show. - Immunisation coverage gaps across age cohorts
Research idea: Quarterly immunisation coverage is collected for children at 12 months, 24 months and 5 years.
Research question: Do coverage gaps at 12 months, 24 months and 5 years point to the same areas?
Method: Descriptive mapping and rank comparison of areas across the three cohorts. - How maternity policy documents frame ethnic inequalities
Research idea: Compare how maternity policy documents from two UK nations describe inequalities in outcomes between ethnic groups.
Research question: How do maternity policy documents from two UK nations frame ethnic inequalities in outcomes?
Method: Comparative document analysis with a coding frame for problem definition, causes and proposed actions.
Digital public health and data
- Readability of public health leaflets
Research idea: Leaflets are only useful if people can read them.
Research question: At what reading level are public health leaflets on one topic written, and does readability differ between publishers?
Method: Readability scoring of a sample of public documents with a standard formula, and a comparison across publishers. - Machine learning for outbreak detection: a scoping review
Research idea: Map the evidence on algorithms that flag outbreaks in routine surveillance data.
Research question: What evidence exists on machine learning for early outbreak detection in routine surveillance data, and how is performance validated?
Method: Scoping review reported against PRISMA-ScR, with attention to validation methods and data sources. - Accessibility of public health dashboards
Research idea: Dashboards are meant to open data to everyone, but charts can exclude screen-reader users.
Research question: How accessible are public health dashboards to people who use assistive technology?
Method: Accessibility audit of two or three public dashboards using automated checks and an expert checklist. State that a small sample limits generalisation. - Public willingness to share health data: does question wording matter?
Research idea: Published surveys on data sharing ask very different questions.
Research question: What do UK surveys report about public willingness to share health data for research, and how do question wordings differ?
Method: Structured review of published surveys with a table of wording, sample and findings.
Global health
The WHO Global Health Observatory and the Global Burden of Disease study let you run comparative projects with no fieldwork. Every global topic below is cross-country, so say plainly that country averages hide differences within countries.
- Immunization coverage gaps within a WHO region
Research idea: Compare countries at the top and bottom of one WHO region.
Research question: Has the gap in routine immunization coverage between the highest- and lowest-coverage countries in one WHO region narrowed over a chosen period?
Method: Cross-country time-series analysis using WHO immunization data, with descriptive statistics and a simple trend model. - Sanitation and under-five mortality
Research idea: The Observatory holds both water, sanitation and hygiene indicators and child mortality indicators.
Research question: Is access to basic sanitation associated with under-five mortality across lower-middle-income countries after allowing for national income?
Method: Cross-country regression with region effects. Name the ecological fallacy as a limit. - Tobacco control measures and smoking prevalence
Research idea: Compare the number of national tobacco control measures with changes in prevalence.
Research question: Are countries with more tobacco control measures in place showing lower smoking prevalence trends?
Method: Cross-country comparison using WHO tobacco control data, with a clear plan for handling missing years. - Alcohol control measures and consumption
Research idea: WHO’s alcohol information system holds both policy and consumption data.
Research question: Is the number of national alcohol control measures associated with per-person alcohol consumption across countries in one WHO region?
Method: Cross-country analysis using WHO alcohol data, with attention to measurement differences between countries. - Health worker density and maternal mortality
Research idea: Link two Observatory themes at country level.
Research question: Is health worker density associated with maternal mortality ratios across countries at similar income levels?
Method: Cross-country regression within income groups, reported with confidence intervals. - Road safety laws and road traffic deaths
Research idea: Road safety is a standing theme in the Observatory.
Research question: How do road traffic death rates differ between countries with and without a chosen national road safety law?
Method: Cross-country comparison using the road safety indicators, with attention to how each law is defined. - Within-country inequality in a chosen indicator
Research idea: The WHO Health Equity Monitor reports inequality between groups within countries.
Research question: How large is the gap in a chosen indicator between the richest and poorest groups in two countries?
Method: Secondary analysis of Health Equity Monitor data, reporting absolute and relative gaps and explaining why you need both. - Leading risk factors for health loss: UK and a comparator
Research idea: The Global Burden of Disease study estimates health loss by cause and risk factor.
Research question: How do the leading risk factors for health loss differ between the UK and one comparator country in Global Burden of Disease estimates?
Method: Descriptive comparison using the study’s results tools. State which round you used and its uncertainty ranges.
Evidence, evaluation and methods
These topics suit students who prefer to study how public health evidence is produced and reported.
- How completely do public health systematic reviews follow PRISMA?
Research idea: Choose one public health topic and audit the reviews published on it.
Research question: How completely do systematic reviews on one public health topic report their search and selection methods against the PRISMA 2020 checklist?
Method: Sample of reviews scored item by item against the PRISMA 2020 checklist, with a second scorer for agreement. - STROBE reporting in cross-sectional public health studies
Research idea: Choose one subfield and audit a sample of cross-sectional studies.
Research question: How completely do cross-sectional studies in one public health subfield report against the STROBE checklist?
Method: Sample of studies scored against the STROBE cross-sectional checklist, summarised by item. - Official statistics or management information: does the choice change the answer?
Research idea: NHS England publishes some series as official statistics and others as management information. Compare two on the same topic.
Research question: How do conclusions about one topic change when it is studied using management information instead of official statistics?
Method: Side-by-side analysis of two published series on the same topic, with a clear account of coverage and definitions. - What can routine data say about a local programme?
Research idea: Local programmes are often judged from the data that already exist.
Research question: What can be concluded about the effect of a local public health programme from published routine data alone?
Method: Interrupted time series or difference-in-differences with comparator areas. State the assumptions each design needs and test what you can.
Which approvals does a public health dissertation need?
Approvals depend on whether your project involves people or their data. The student research guidance from the Health Research Authority says standalone undergraduate research that needs NHS ethics review or Health Research Authority approval can no longer take place, that some master’s projects can still apply once they pass its toolkit, and that doctoral students remain eligible subject to approvals.
The same guidance lists alternatives that avoid that route, including literature, rapid, scoping and systematic reviews, and health research that does not involve patients, service users, NHS staff or identifiable data. Your own university’s ethics process still applies, so confirm the route with your supervisor before you finalise your design.
| Level | Designs that usually fit | What to check |
|---|---|---|
| Undergraduate | One open dataset and one question, a document analysis or a small scoping review. | NHS ethics and Health Research Authority routes are not open to standalone undergraduate projects. |
| Master’s | Two datasets, area comparisons, document analysis or an evaluation from published data. | Use the Health Research Authority student toolkit to check eligibility before planning any NHS participants. |
| Doctoral | Multi-study designs, causal methods and primary data where approvals allow. | Doctoral students are eligible for approvals, so build the timeline around them. |
Report your method with the right checklist
Examiners notice when a method is reported clearly. For reviews, use PRISMA 2020, which provides a checklist and a flow diagram. For cohort, case-control and cross-sectional designs, use the STROBE checklists. Both are free. For help writing the method itself, read our guides on how to write a dissertation methodology and how to write a literature review.
Related topic lists
If your project leans toward practice, economics or psychology, these lists cover neighbouring ground: public health nursing, community health nursing, health economics, health psychology, infectious disease nursing, environmental science, climate change and international development.
Frequently asked questions
What makes a good public health dissertation topic?
It names a population, an exposure or intervention and an outcome you can measure, and it uses data or sources you can reach in your time frame.
Can I write a public health dissertation without collecting my own data?
Yes. Secondary analysis of published data, document analysis and structured reviews are all accepted routes, and they avoid the NHS approval route that standalone student projects often cannot use.
Do I need NHS ethics approval?
Not for projects that use only published or public data, but you still need your university’s approval. The Health Research Authority no longer accepts standalone undergraduate projects, and master’s eligibility depends on its toolkit.
Which public health data are free?
Fingertips, the UKHSA data dashboard, ONS life expectancy releases, the Indices of Deprivation 2025, NHS England statistics and the WHO Global Health Observatory are all free to download. The Health Survey for England is free after UK Data Service registration.
How is public health research different from healthcare research?
Healthcare research usually starts from the clinician, the service or the patient. Public health research starts from the population and asks what shapes health before anyone reaches a clinic.
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