A public health research paper looks at health at the level of populations rather than individual patients.
It asks how common a problem is, who is most affected, what causes it, and what works to prevent or reduce it. That population focus shapes everything: the questions you ask, the data you use, the study designs you cite and the recommendations you make.
This guide covers how to choose and frame a public health research question, which epidemiological measures and study designs to understand, how to structure the paper, and how to handle the wider range of assignments in MPH programs, including program plans, policy papers and applied practice reports.
What a public health paper includes
A public health research paper defines a population-level problem with data (incidence, prevalence, mortality, disparities), reviews evidence on its causes and determinants, evaluates interventions or policies, and makes recommendations. Use authoritative data sources such as national surveillance systems, the WHO and peer-reviewed epidemiological studies, explain the study designs behind the evidence, and follow APA 7 unless your program says otherwise.
Framing a Public Health Research Question
Good public health questions name a population, a health outcome and a factor or intervention. "Obesity in America" is a topic.
"What is the association between neighborhood food environment and obesity among low-income adolescents in urban areas?" is a research question you can answer from the literature, and it points to the determinants and the evidence you will need.
| Question type | Example | Evidence needed |
|---|---|---|
| Descriptive | How has the prevalence of type 2 diabetes changed among adults aged 20 to 44? | Surveillance and survey data |
| Aetiological | Is air pollution exposure associated with childhood asthma incidence? | Cohort and case-control studies |
| Intervention | Do school-based vaccination programs increase HPV vaccine uptake? | Trials, quasi-experimental studies, systematic reviews |
| Policy | What effect have sugar-sweetened beverage taxes had on purchases? | Natural experiments, evaluations |
| Equity | Why do maternal mortality rates differ by race and ethnicity? | Disaggregated data, social determinants research |
Epidemiological Measures to Use Correctly
Using epidemiological terms precisely is one of the quickest ways to show competence. Many papers lose marks by confusing incidence with prevalence, or by reporting counts where rates are needed for a fair comparison.
| Measure | Meaning | Example use |
|---|---|---|
| Prevalence | Proportion of a population with a condition at a point or period | Burden of hypertension |
| Incidence | New cases in a population over a period | New HIV diagnoses per 100,000 per year |
| Mortality rate | Deaths in a population over a period | Opioid overdose deaths per 100,000 |
| Relative risk | Risk in exposed divided by risk in unexposed | Lung cancer risk in smokers vs non-smokers |
| Odds ratio | Odds of exposure in cases vs controls | Case-control studies |
| Attributable risk | Excess risk due to an exposure | Cases preventable by removing exposure |
| DALYs | Years of healthy life lost to illness, disability or early death | Global burden comparisons |
Study Designs and the Strength of Evidence
Explain the design behind the key studies you cite, because it determines how much weight the findings can bear:
- Randomized trials are strong for interventions but often impractical or unethical for exposures.
- Cohort studies establish temporal order.
- Case-control studies suit rare outcomes.
- Cross-sectional studies describe prevalence but cannot show what came first.
- Ecological studies compare populations and risk the ecological fallacy if applied to individuals.
Systematic reviews and meta-analyses sit at the top when they are well conducted.
Structure of a Public Health Research Paper
| Section | What to include |
|---|---|
| Introduction | Problem, scale with data, significance, research question or aim |
| Background and literature review | Determinants, at-risk groups, evidence on interventions, gaps |
| Methods (if empirical or systematic) | Data sources, design, population, variables, analysis, search strategy |
| Results or findings | Key findings, tables, comparisons |
| Discussion | Interpretation, equity implications, limitations |
| Recommendations | Interventions, policy, further research, specific to the population |
| Conclusion | Answer to the research question |
Introduction opening (weak): "Smoking is very bad for health and many people still smoke."
Introduction opening (strong): "Although adult cigarette smoking has fallen over recent decades, e-cigarette use among adolescents has risen, raising concern about nicotine dependence in a group that had been moving away from tobacco. This paper examines the evidence on whether flavor restrictions reduce adolescent e-cigarette initiation."
The strong version sets context, identifies a specific population and problem, and states the question the paper will answer. In the real paper, each factual claim is supported with a current citation from surveillance data.
Bias, Confounding and Limitations
Public health evidence is mostly observational, so markers expect you to discuss why an association might not be causal. Confounding occurs when a third factor is linked to both the exposure and the outcome: a study might find that coffee drinkers have higher rates of lung cancer simply because, in that sample, coffee drinkers were more likely to smoke.
Selection bias arises when the people studied differ systematically from the target population, and information bias when exposures or outcomes are measured inaccurately, for example through self-report.
| Problem | Example | How studies address it |
|---|---|---|
| Confounding | Income affects both diet and health | Randomization, adjustment, stratification, matching |
| Selection bias | Healthier people volunteer for a cohort | Representative sampling, high follow-up |
| Recall bias | Cases remember exposures differently from controls | Records rather than self-report, blinded interviews |
| Reverse causation | Illness reduces physical activity, not the other way round | Longitudinal designs with clear temporal order |
The Bradford Hill considerations (strength, consistency, temporality, dose-response, plausibility and others) give a useful structure for discussing whether a body of evidence supports a causal conclusion.
Writing the Literature Review Section
Organize the review around themes or questions rather than individual studies. For an intervention paper, you might group evidence by setting (school, community, clinic), by intervention type or by outcome. For each theme, say what the strongest evidence shows, how consistent it is and what the gaps are, particularly for the population you are studying.
Prioritize systematic reviews and well-designed primary studies, and note where most evidence comes from high-income countries if your population is elsewhere, because that limits how well findings transfer.
Writing Recommendations That Fit the Population
Recommendations are where many public health papers become generic. "Increase awareness" and "more funding" are not recommendations. Strong recommendations name the action, the level of the socio-ecological model it targets, the responsible actor and how success would be measured, and they follow directly from the evidence you reviewed.
Generic: "Schools should educate students about vaping."
Specific: "The district should replace one-off assemblies with a curriculum-based prevention program that has evidence of effect, delivered in grades 7 and 8, alongside enforcement of the local flavor restriction at retailers near schools. Progress should be tracked through the district's existing youth risk behavior survey."
Using Social Determinants and Frameworks
Public health markers expect you to look beyond individual behavior to the conditions in which people live, work and age.
The social determinants of health (economic stability, education, healthcare access, neighborhood and environment, and social and community context) and the socio-ecological model (individual, interpersonal, community, organizational and policy levels) are the most common frameworks.
Use them to explain why a problem is distributed unequally and to design interventions at more than one level.
MPH Assignments Beyond the Research Paper
MPH programs set a wider range of assignments built around core competencies in epidemiology, biostatistics, health policy, environmental health and social and behavioral sciences. Each has its own conventions.
| MPH assignment | Key elements |
|---|---|
| Program plan or proposal | Needs assessment, goals and SMART objectives, logic model, activities, budget, evaluation plan |
| Policy analysis or brief | Problem, policy options, criteria, recommendation, stakeholders |
| Epidemiology problem set or report | Rate calculations, study design critique, bias and confounding |
| Biostatistics assignment | Appropriate tests, output interpretation, APA reporting |
| Health communication campaign | Audience analysis, behavior change theory, channels, evaluation |
| Applied practice experience report | Placement activities, competencies attained, products, reflection |
| Integrative learning experience | A substantial applied or research product drawing on the whole program |
Program planning frameworks such as PRECEDE-PROCEED, RE-AIM for evaluation and behavior theories such as the Health Belief Model or Theory of Planned Behavior are regularly expected in MPH papers. For population-level assessment and outreach work, see our community health assignment guide.
Ethics in Public Health Papers
Public health often involves tension between individual liberty and collective benefit: mandatory vaccination, quarantine, surveillance, taxes on unhealthy products. When a paper recommends an intervention that restricts choice, acknowledge the ethical trade-off and justify it, for example using the principle of least restrictive means or proportionality.
If your paper involves original data collection, describe consent, confidentiality, data protection and ethics approval. Where you use secondary data, note that it is de-identified and publicly available, or that access was approved.
Data Sources and Citation
- National surveillance and survey systems (for example, CDC data systems such as BRFSS and NHANES in the United States, or national statistics offices elsewhere).
- WHO, the Global Burden of Disease study and other international datasets for global topics.
- Peer-reviewed journals in epidemiology and public health.
- Systematic reviews, including Cochrane reviews and community guide reviews of interventions.
Always give the year of the data you report, and use the most recent available. Cite organizations as group authors in APA 7.
Common Public Health Paper Mistakes
- Confusing incidence and prevalence, or using counts instead of rates.
- Treating correlation in cross-sectional or ecological data as causation.
- Focusing only on individual behavior and ignoring structural determinants.
- Outdated statistics or unreliable websites.
- Recommendations that are generic rather than tailored to the population.
- No discussion of equity or limitations.
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Frequently Asked Questions
Incidence counts new cases over a period; prevalence is the proportion of the population living with the condition at a point or over a period. Chronic conditions often have high prevalence relative to incidence.
Most programs use APA 7. Some epidemiology courses and journals use AMA or Vancouver. Follow your course instructions.
Use the most recent data available from the source, and state the year. Most instructors expect peer-reviewed sources from roughly the last five years, with older landmark studies where relevant.
Yes, including program plans, policy analyses, epidemiology and biostatistics assignments, health communication campaigns, applied practice reports and integrative learning projects.
Yes, using data you provide or public datasets allowed by your course, with results reported in APA format. Data is never fabricated.
The social determinants of health, the socio-ecological model, PRECEDE-PROCEED, RE-AIM, logic models and behavior change theories such as the Health Belief Model are common.
Public health papers focus on populations, determinants and prevention at scale. Nursing research papers usually focus on patient care, clinical interventions and nursing practice.
Yes. The writer uses WHO, Global Burden of Disease and country-level data appropriate to the region.