MPH 510 Module 1 Descriptive Epidemiology Example

Reviewed by Douglas Renshaw, MBA Aspen University Updated September 2026

This MPH 510 Module 1 sample paper describes US drug overdose deaths from 2002 to 2022 by person, place and time. Epidemiology in Public Health, taught in Aspen University's Master of Public Health program, introduces the discipline that finds the causes of disease in populations. National vital statistics show 107,941 overdose deaths in 2022 and an age-adjusted rate that climbed from 8.2 to 32.6 per 100,000 over twenty years. A table gives 2022 rates by sex, age and drug type, with adults aged 35 to 44 highest at 63.1. The paper explains counts, crude rates and age adjustment, the three waves of prescription opioids, heroin and fentanyl, shifting age and racial patterns, and midlife mortality trends. It ends with hypotheses for analytic study, data limits and prevention priorities.

CourseMPH 510 Epidemiology in Public Health
ModuleModule 1
Paper typeDescriptive epidemiology paper
LengthAbout 1,054 words, 6 pages
FormatAPA 7 student paper
SchoolAspen University
ProgramMaster of Public Health
UpdatedSeptember 2026

Free sample paper for MPH 510 Module 1

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Who, Where and When: A Descriptive Epidemiology of US Drug Overdose Deaths, 2002-2022

Student Name

Master of Public Health Program, Aspen University

MPH 510: Epidemiology in Public Health

Instructor Name

Month Day, Year

What this page is doingThe title names the three questions of descriptive epidemiology, person, place and time. APA 7 student title page.
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Who, Where and When: A Descriptive Epidemiology of US Drug Overdose Deaths, 2002-2022

Epidemiology begins with description. Before investigators can test why a health problem occurs, they must know who is affected, where and when, and how often. Descriptive epidemiology answers those questions using counts and rates and, by revealing patterns, generates hypotheses about causes. This paper applies the person, place and time framework to drug overdose deaths in the United States over two decades.

Counts and Rates

In 2022, 107,941 people in the United States died of a drug overdose. A count alone cannot show whether risk is rising, because the population grows and ages. Rates divide deaths by the population at risk and multiply by a standard base, here 100,000 people. Age-adjusted rates go further, weighting each age group's rate to a standard population so that an older county and a younger one, or 2002 and 2022, can sit side by side without age skewing the picture.

What this page is doingExplaining why rates and age adjustment matter shows the grader the paper understands the tools, not just the numbers.
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Time

The age-adjusted overdose death rate nearly quadrupled, from 8.2 per 100,000 in 2002 to 32.6 in 2022, though the rate did not change significantly between 2021 and 2022 (Spencer et al., 2024). The trend is not a single smooth rise. Analysts describe three overlapping waves: deaths from prescription opioids rising from the late 1990s, heroin deaths rising from about 2010, and deaths involving illicitly made fentanyl rising sharply from about 2013 (Ciccarone, 2019). A fourth pattern, overdoses combining fentanyl with stimulants such as methamphetamine and cocaine, has grown in recent years.

Person

Rates differ by sex, age and race and ethnicity. The table summarizes selected figures from national vital statistics for 2022.

GroupRate per 100,000 (2022)Note
All ages, age-adjusted32.6Stable from 32.4 in 2021
Males, age-adjusted45.6More than twice the female rate
Females, age-adjusted19.4Slight decline from 2021
Ages 35-4463.1Highest of any age group
Ages 65 and older13.2Lowest rate, largest percent rise
Synthetic opioids other than methadone22.7Up 4.1% from 2021

Shifting Age Patterns

Between 2021 and 2022, rates fell among adults aged 15 to 34 and rose among adults aged 35 and older, and adults 65 and older had the largest percent increase, 10.0% (Spencer et al., 2024). The shift suggests that an aging group of people who use drugs, many exposed during earlier waves, now faces the more lethal fentanyl supply.

Race and Ethnicity

From 2021 to 2022, age-adjusted rates rose for American Indian and Alaska Native, Black, Hispanic and Asian people, while the rate for White people did not rise (Spencer et al., 2024). In the early years of the epidemic, overdose deaths were concentrated among White Americans; the fentanyl era has spread the burden, with the steepest recent increases among Black and American Indian populations.

Place

Overdose rates vary widely by state and county, with some Appalachian, New England and Mountain West states far above the national average. Place patterns have shifted as the drug supply changed: fentanyl reached eastern markets earlier than western ones. Mapping county rates helps target resources such as naloxone distribution and treatment programs to the places with the greatest need.

Broader Context

Overdose deaths are part of a wider rise in what some economists call deaths of despair. An analysis of mortality in midlife found that death rates among White non-Hispanic Americans aged 45 to 54 rose between 1999 and 2013, reversing decades of decline, driven by drug and alcohol poisonings, suicide and chronic liver disease, with the largest increases among those with the least education (Case & Deaton, 2015). This context points toward economic and social causes alongside drug supply.

Generating Hypotheses

Descriptive patterns suggest questions for analytic studies. Why did rates rise among older adults while falling among younger ones? Do places with greater naloxone access or treatment capacity have lower death rates? Does the timing of fentanyl's arrival explain differences between regions? Each question could be tested with cohort, case-control or ecological designs.

Limitations of the Data

Death certificate data depend on how medical examiners and coroners investigate and record deaths, and practices vary. Some certificates do not specify the drugs involved, which undercounts specific substances. Race and ethnicity may be misclassified, particularly for American Indian and Alaska Native people. Recent data are provisional and may be revised.

Implications for Prevention

Descriptive findings shape priorities. The concentration among middle-aged and older adults argues for reaching people already using drugs, not only preventing initiation among the young. The dominance of synthetic opioids argues for naloxone, fentanyl test strips and rapid access to medications for opioid use disorder. Rising rates among Black and American Indian communities argue for culturally grounded services in those communities.

Crude Versus Adjusted

Crude and adjusted rates can tell different stories. A state with many older residents may have a low crude overdose rate simply because older adults overdose less often; after age adjustment, its rate may be close to the national figure. When comparing counties for funding decisions, analysts should use age-adjusted rates, and when planning services for a specific place, crude counts show how many people actually need help.

Using Descriptive Data Locally

A county health department can repeat this analysis with its own death certificate data, emergency department visits for nonfatal overdose and naloxone administrations reported by emergency medical services. Nonfatal overdoses are an early warning, since each one signals a person at high risk of a later fatal event. Weekly monitoring of these data allows rapid alerts when a potent new drug enters the local supply.

Communicating the Findings

Descriptive findings reach decision-makers best as simple charts: a line graph of rates over time, a bar chart by age group and a county map. Each should show rates rather than counts where comparisons are made, label the data source and year, and note when figures are provisional. Plain explanations of age adjustment help nontechnical readers trust the comparisons.

Timeliness

Final death data lag by about a year, so provisional counts are used for rapid response, with the understanding that they will be revised.

Conclusion

Describing overdose deaths by person, place and time reveals an epidemic that has changed shape across three waves, now concentrated among middle-aged and older adults and spreading across racial and ethnic groups under the influence of fentanyl. These patterns generate hypotheses for analytic study and point public health toward targeted, evidence-based responses.

References

Case, A., & Deaton, A. (2015). Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century. Proceedings of the National Academy of Sciences, 112(49), 15078-15083. https://doi.org/10.1073/pnas.1518393112

Ciccarone, D. (2019). The triple wave epidemic: Supply and demand drivers of the US opioid overdose crisis. International Journal of Drug Policy, 71, 183-188. https://doi.org/10.1016/j.drugpo.2019.01.010

Spencer, M. R., Garnett, M. F., & MiniƱo, A. M. (2024). Drug overdose deaths in the United States, 2002-2022 (NCHS Data Brief No. 491). National Center for Health Statistics. https://doi.org/10.15620/cdc:135849

What the MPH 510 Module 1 instructions ask for

Aspen's catalog describes MPH 510 as an introduction to epidemiology, the method used to find the causes of health outcomes in populations, and the opening module's actual wording is available only inside the course, so this sample begins with descriptive epidemiology. Assignments at this stage usually ask you to pick a health problem, present its frequency and distribution by person, place and time, and suggest hypotheses. Check whether your instructor names the problem or data source. Use rates, not only counts, and explain age adjustment if you compare groups. National vital statistics briefs, state dashboards and county health profiles supply data quickly. Close with what the patterns suggest about causes and priorities.

How this MPH 510 Module 1 example is built

This paper runs to about 1,000 words under fifteen headings, with a three-column table of 2022 overdose rates. It opens with counts and rates, then describes time trends and the three waves, person characteristics, shifting age patterns, race and ethnicity, place and the broader context of midlife mortality. Hypotheses, data limitations, prevention implications, crude versus adjusted rates, local use of descriptive data, communicating findings and timeliness follow. A margin comment beside the rates section explains why showing the tools of description, not only the numbers, earns credit. The conclusion summarizes how the epidemic changed shape and what that means for public health responses. Figures in the text match the table exactly so readers are not left to reconcile two versions.

MPH 510 Module 1 rubric: what earns full marks

Descriptive epidemiology papers are generally marked on accurate use of rates, clear organization by person, place and time, correct interpretation of trends, reasonable hypotheses and awareness of data limits. This paper draws on a national vital statistics data brief, a peer-reviewed analysis of the opioid epidemic's waves and a landmark study of midlife mortality, listed in APA style. The rate table shows precise figures with their meaning. Age adjustment is explained before it is used. Hypotheses follow from the patterns rather than from assumption. The limitations section addresses death certificate quality and misclassification, points instructors often probe. Consistent units, per 100,000 throughout, also matter, and the paper never mixes crude and adjusted rates in one comparison.

Common MPH 510 Module 1 mistakes, and how to avoid them

The most frequent weakness is reporting counts where rates are needed, which makes comparisons misleading. Some papers also mix years or sources without saying so. Others describe patterns without offering any hypotheses, missing the purpose of description. Always state the year, source and whether rates are age-adjusted. Keep each dimension, person, place and time, in its own section. For help finding the right national or state data for your topic, our tutors can walk you through vital statistics tools and county dashboards. End with two or three questions an analytic study could answer. Remember that a flat rate between two years can still mean tens of thousands of deaths, so pair rates with counts when you describe the burden.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official Aspen University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

More MPH 510 and Master of Public Health sample papers

MPH 510 Module 1 questions, answered

What does MPH 510 Module 1 usually ask for?

Aspen's MPH 510 introduces epidemiology as the method for finding causes of disease in populations, so a descriptive analysis by person, place and time is a typical first assignment. Follow your classroom prompt.

Why use age-adjusted rates?

They remove the effect of different age structures, so populations or years can be compared fairly.

What is descriptive epidemiology?

The study of how often a health problem occurs and how it is distributed by person, place and time.

Where can I find a free MPH 510 Module 1 sample paper?

The overdose descriptive epidemiology paper is published on this page, complete with its table of 2022 rates by group.

What is person, place and time in MPH 510 Module 1?

The three dimensions of descriptive epidemiology: who is affected, where cases occur and how frequency changes over time.