| Course | MPH 530 Epidemiology Concepts and Public Health Diseases (MPH/530) |
|---|---|
| Week | 2 |
| Paper type | Descriptive epidemiology paper |
| Length | about 1,175 words, 4 double-spaced pages plus title page and references |
| Format | APA 7 student paper |
| School | University of Phoenix |
| Program | MPH |
| Updated | September 2026 |
Free sample paper for MPH 530 Week 2
Time, Place and Person: Describing Drug Overdose Deaths in Colorado and Eight Neighboring States, 2019 to 2026
[Student Name]
University of Phoenix
MPH/530: Epidemiology Concepts and Public Health Diseases
Week 2 Assignment
[Instructor Name]
[Date]
The county health department and its analysis are composites written for a model paper; state counts come from the CDC data set cited, retrieved in September 2026, and population figures are rounded census estimates used for approximate rates.
The county's overdose fatality review team met monthly to review each death. At one meeting, a member asked the epidemiologist a question the team had never answered: beyond this year's total, what do the numbers actually show? The epidemiologist responded with a descriptive epidemiology of overdose deaths in Colorado and its neighbors. This paper presents it.
Descriptive Epidemiology
Descriptive epidemiology organizes health data by time, place and person. It shows when a problem occurs, where it is concentrated and whom it affects, and it generates hypotheses that analytic studies can test. Variation by these three dimensions is the starting point for understanding causes (Bhopal, 2008).
The Data
The analysis uses CDC's provisional drug overdose death counts, which report 12-month-ending totals by state and month, overall and by drug class (Centers for Disease Control and Prevention, 2026). Each value is the number of deaths in the 12 months ending in the stated month.
Time: The Rise
Colorado's 12-month count was 992 in January 2019 and 1,100 by December 2019. It then climbed steeply, reaching 1,512 by December 2020 and 1,917 by December 2021, a 74% increase over two years.
Time: The Plateau, Decline and Rebound
Counts held near 1,900 through 2023, reaching 1,926 in December 2023, dropped by about 290 to 1,640 for 2024, then climbed back by roughly 180 to 1,819 for 2025. The 2024 decline matched national trends; the 2025 rebound did not.
Seasonality
Month-to-month patterns within a year were hard to see in 12-month totals, so the county team examined its own monthly deaths. They found no strong seasonal pattern, but clusters of deaths sometimes followed the arrival of a new, stronger batch of drugs, which surveillance of local deaths and emergency visits could detect faster than annual totals.
Why 12-Month Totals
Twelve-month-ending totals smooth out month-to-month noise and seasonal variation, making trends easier to see. Their drawback is that they react slowly to sudden changes; a sharp increase in one month is spread over a year.
Place: Comparing States
Counts alone mislead, because states differ in size. Using rounded census estimates, the epidemiologist calculated approximate crude rates for 2025. New Mexico, with 961 deaths and about 2.1 million residents, had about 45 per 100,000. Arizona, with 2,978 deaths and about 7.6 million residents, about 39. Colorado, with 1,819 deaths and about 6.0 million, about 30. Oklahoma, about 21; Utah, about 19; Kansas, about 18; Wyoming, about 14; and Nebraska, with 146 deaths and about 2.0 million residents, about 7 (Centers for Disease Control and Prevention, 2026).
Reading the Place Pattern
The highest rates were in the Southwest states along drug trafficking routes from the border, and the lowest in the Plains states. Colorado was in the middle. These are crude rates and could shift with age adjustment, since states differ in age structure.
Place: Change Over Time
Between 2019 and 2025, counts rose in most states: Colorado from 1,100 to 1,819, New Mexico from 609 to 961, Arizona from 1,981 to 2,978. Nebraska was unchanged at 146. The rise was broad across the region but uneven.
Person: Drugs Involved
Drug-specific counts describe what killed people. In Colorado, deaths involving synthetic opioids other than methadone, mainly fentanyl, rose from 251 in 2019 to 1,044 in 2025. Deaths involving psychostimulants such as methamphetamine rose from 367 to 879, and cocaine from 135 to 343. Deaths involving heroin fell from 218 to 27 (Centers for Disease Control and Prevention, 2026). Heroin nearly disappeared from the death data as fentanyl replaced it.
Overlap Among Drugs
Drug categories overlap because many deaths involve more than one substance. In 2025, synthetic opioid and psychostimulant deaths together exceed the total, meaning many people died with both fentanyl and methamphetamine in their systems.
Person: Race and Ethnicity
The provisional data do not describe race and ethnicity, so the epidemiologist turned to national research. An analysis of national data found that overdose mortality rose especially steeply among Black residents and among Native American communities before and during the COVID-19 pandemic, with rates in these groups exceeding those among White people (Friedman & Hansen, 2022). Local death certificate data will be needed to see whether Colorado follows this pattern.
Person: Age and Sex
Local death certificate reviews by the county team showed most overdose deaths among men aged 25 to 54, consistent with national patterns, though deaths among adults over 55 were rising.
What Descriptive Data Cannot Tell Us
Descriptive patterns show associations in time and place, not causes. The rise in 2020 coincided with the pandemic and with fentanyl's spread, but descriptive data cannot separate these influences. Place differences may reflect differences in reporting and testing as well as true risk.
Limits of the Data
The counts are provisional and may be revised. Drug categories overlap. Rates here are approximate crude rates using rounded population estimates, not official age-adjusted rates. Race and ethnicity data for Colorado were not available in this data set.
Sharing the Picture
The epidemiologist presented the analysis to the review team with three charts: Colorado's 12-month trend line, a bar chart of approximate state rates and a chart of drug-specific counts in 2019 and 2025. Team members said the charts changed their sense of the problem, especially the collapse of heroin deaths and the rise of stimulant-involved deaths, which they had not appreciated from individual case reviews.
Local Place Patterns
Within the county, the team mapped overdose deaths by residence. Deaths clustered in three neighborhoods near the city center and along the highway corridor, which pointed naloxone distribution and outreach to specific places.
Hypotheses From Time
The steep rise in 2020 and 2021 coincided with the spread of illicit fentanyl and pandemic disruptions to treatment and social support. Hypothesis: the introduction of fentanyl into the local drug supply accounts for most of the increase.
Hypotheses From Place
Higher rates in the Southwest suggest supply route effects. Hypothesis: proximity to trafficking corridors is associated with higher fentanyl-involved death rates.
Hypotheses From Person
The combination of fentanyl and methamphetamine suggests polysubstance use. Hypothesis: people using stimulants are exposed to fentanyl unknowingly, raising their risk.
Testing the Hypotheses
The hypotheses could be tested with a case-control study comparing people who died of overdose with living people who use drugs, or a cohort following people released from jail or treatment, examining exposures such as fentanyl test results and treatment status.
Implications for the County
Even before analytic studies, the patterns suggest actions: distribute naloxone and fentanyl test strips to people who use stimulants, not only opioids, and prepare for rebounds rather than assuming declines will continue.
Conclusion
Organized by time, place and person, Colorado's overdose data tell a clearer story than a single annual total: a steep rise to 2021, a partial decline and a rebound, rates in the middle of a region with large differences and a shift from heroin to fentanyl and stimulants. Descriptive epidemiology does not prove causes, but it points to the hypotheses and actions the county should pursue next.
References
Bhopal, R. S. (2008). Variation in disease by time, place, and person. In Concepts of epidemiology (2nd ed., pp. 47-82). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199543144.003.0003
Centers for Disease Control and Prevention. (2026). VSRR provisional drug overdose death counts [Data set]. data.cdc.gov. https://data.cdc.gov/d/xkb8-kh2a
Friedman, J. R., & Hansen, H. (2022). Evaluation of increases in drug overdose mortality rates in the US by race and ethnicity before and during the COVID-19 pandemic. JAMA Psychiatry, 79(4), 379-381. https://doi.org/10.1001/jamapsychiatry.2022.0004
What the MPH 530 Week 2 instructions ask
MPH 530 Week 2 usually asks students to describe a health problem using descriptive epidemiology. Prompts may ask students to organize data by person, place and time, calculate or interpret rates, present tables or graphs, identify patterns and trends and propose hypotheses about causes that analytic studies could test. Some versions supply data; others ask students to find public data. Follow the version assigned to you and the data sources it names. Strong papers use rates rather than counts to compare places and groups, describe trends with appropriate time windows, examine characteristics of people affected, note data limits such as provisional counts and turn patterns into specific, testable hypotheses.
How this MPH 530 Week 2 example is built
The paper opens with the county's overdose review team asking the epidemiologist what the numbers show beyond a single year's total. Descriptive epidemiology is explained as the organization of data by time, place and person to generate hypotheses. Time trends in Colorado's 12-month counts show a steep rise from 2019 to 2021, a decline in 2024 and a rebound in 2025. Approximate crude rates for eight states show place differences. Drug-specific counts and national research on race and ethnicity describe who is dying. Data limits are explained, and hypotheses for analytic studies and implications for the county close the paper, including what to do before studies finish.
MPH 530 Week 2 grading rubric: where the points go
The descriptive epidemiology week is typically graded on organized presentation by person, place and time, correct use of rates and thoughtful hypotheses. Graders look for data organized into the three dimensions, rates rather than raw counts when comparing populations, trends described with dates, patterns interpreted cautiously, data limitations acknowledged and hypotheses that could be tested in analytic studies. Tables or graphs that make patterns visible earn credit, especially a trend line and a rate table. Credible public data sources with retrieval dates strengthen the analysis. The final marks reflect organization and APA formatting. Papers that compare counts across populations of different sizes, or claim causes from descriptive data, commonly lose points; failing to state even one testable hypothesis is another usual deduction.
MPH 530 Week 2 help: mistakes to avoid
MPH 530 Week 2 papers often stop at a single number presented without context. Organize the data three ways. For time, show the trend over several years and note when it changed. For place, compare rates, not counts, since states differ in size. For person, describe who is affected by age, sex, race and ethnicity or other characteristics, using the best available data. Note limits such as provisional counts, overlapping drug categories and approximate populations. Then state what the patterns suggest as hypotheses, not conclusions, say what kind of study could test each one and note what action is justified before the answers arrive.
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- MPH 530 Week 5: Outbreak Investigation
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MPH 530 Week 2 questions, answered
What does MPH/530 Week 2 usually ask for?
In the second epidemiology paper, students usually describe a health problem by person, place and time, interpret patterns and propose hypotheses for analytic study.
Where can I find a free MPH 530 Week 2 sample paper?
Anyone may read the overdose descriptive epidemiology paper above at no cost; every table has a note. Send your topic or dataset, and we write the first paper without charge.
What is descriptive epidemiology?
The organization and summary of health data by time, place and person to show patterns, identify groups at risk and generate hypotheses about causes.
How have overdose deaths changed in Colorado?
Provisional twelve-month totals nearly doubled between early 2019 and the end of 2021, eased in 2024 and turned upward again during 2025.
Why compare rates instead of counts across states?
Because states differ greatly in population size, so rates per 100,000 residents show risk fairly while counts mainly reflect how many people live there.
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