| Course | DNP 830 Global Population Health |
|---|---|
| Module | Module 4 |
| Paper type | Disaster health effects paper |
| Length | About 1,010 words, 6 pages |
| Format | APA 7 student paper |
| School | Aspen University |
| Program | DNP |
| Updated | September 2026 |
Free sample paper for DNP 830 Module 4
Sixty-Four or Thousands? Hurricane Maria, Excess Mortality and the Hidden Deaths of Disasters
Student Name
Doctor of Nursing Practice Program, Aspen University
DNP 830: Global Population Health
Instructor Name
Month Day, Year
Sixty-Four or Thousands? Hurricane Maria, Excess Mortality and the Hidden Deaths of Disasters
Disasters kill in two ways. Direct deaths, from drowning, collapsing buildings or flying debris, are visible and quickly counted. Indirect deaths, from interrupted dialysis, lost oxygen supply, untreated infections, heat and delayed care, occur over weeks and months and are easily missed. How deaths are counted shapes how a disaster is understood, how resources are allocated and how future responses are planned. This paper examines the mortality after Hurricane Maria in Puerto Rico in 2017, compares the methods used to count deaths, identifies who was most at risk and why, and draws lessons for nurses.
The Disaster
Hurricane Maria struck Puerto Rico on September 20, 2017, as a powerful storm that destroyed much of the island's electrical grid and damaged roads, water systems and communications. Much of the population lost electricity for months. Hospitals and dialysis centers depended on generators and fuel deliveries, pharmacies struggled to restock, and many people could not reach care or refrigerate medications such as insulin. The government's official death toll, based on death certificates that listed the hurricane as a cause, was initially 64.
Families, clinicians and journalists soon reported many more deaths than that figure suggested.
Counting the Deaths
Two studies using different methods produced far higher estimates. A household survey of 3,299 randomly selected households estimated a mortality rate of 14.3 deaths per 1,000 people from September 20 through December 31, 2017, which, compared with the same period in 2016, implied 4,645 excess deaths, although the confidence interval was wide, from 793 to 8,498. About one third of the deaths reported in the survey were attributed to delayed or interrupted health care (Kishore et al., 2018). A second study used vital registration data to compare observed and expected deaths and, adjusting for population displacement, estimated 2,975 excess deaths from September 2017 through February 2018, with a narrower interval of 2,658 to 3,290 (Santos-Burgoa et al., 2018). Puerto Rico's government later adopted the second estimate as the official figure.
The methods explain the differences. Death certificates capture only deaths that a certifier explicitly links to the disaster, which rarely happens for a patient with heart failure who dies weeks later without electricity for an oxygen concentrator. Excess mortality methods count all deaths above what would have been expected, regardless of the recorded cause, which captures indirect deaths but depends on accurate baselines and population estimates, and surveys depend on sample size and on surviving household members to report deaths.
Who Was Most at Risk
Excess mortality was not evenly distributed. The vital records analysis found that the ratio of observed to expected deaths was highest among people living in the municipalities with the lowest socioeconomic development and among men aged 65 and older, and that excess risk persisted in these groups throughout the six months studied (Santos-Burgoa et al., 2018). Older adults with chronic illness, people dependent on electricity for medical equipment, and residents of poorer and more remote areas faced the longest interruptions in power, water and care.
How Indirect Deaths Happen
Mortality surveillance after another 2017 hurricane shows the mechanisms. After Hurricane Irma, investigators in three states found that the most common circumstances of death were exacerbation of existing medical conditions and power outage, including heat-related deaths and deaths among people dependent on oxygen, in which the loss of electricity worsened an existing condition (Issa et al., 2018). These are deaths that preparedness can prevent: through backup power for home medical devices, cooling centers, continuity plans for dialysis and pharmacies, and outreach to people known to depend on electricity.
A Global Pattern
Puerto Rico's experience is not unique. Around the world, official disaster death tolls often count only direct deaths, and indirect deaths from disrupted health services, contaminated water, displacement and loss of income can exceed them, especially where health systems and infrastructure are fragile before the disaster. As climate change increases the frequency and intensity of extreme weather, the number of people exposed to prolonged loss of power, water and health services will grow, and the gap between counted and actual deaths could widen unless countries adopt excess mortality surveillance as routine practice.
Measurement also shapes accountability and aid. A low official toll can reduce the urgency of relief, the scale of recovery funding and the attention given to strengthening infrastructure. A credible estimate of excess deaths, published quickly, supports decisions about where to send generators, medical teams and supplies while the disaster is still unfolding.
Lessons for Nurses
Nurses can reduce indirect deaths and improve how they are counted. Before disasters, home health, dialysis and primary care nurses can help build registries of patients who depend on electricity, oxygen or dialysis, and develop individual emergency plans with them. During and after disasters, public health nurses can conduct outreach to those patients, support medication access and help identify people who have lost care. Nurses who complete death reports, or who work with certifiers, can document when a disaster contributed to a death, for example by noting that an oxygen concentrator was without power. And nurses in leadership roles can advocate for excess mortality surveillance as a standard part of disaster response.
Beyond Mortality
Deaths are only one part of a disaster's health effects. Survivors of prolonged disasters experience high rates of depression, anxiety and post-traumatic stress, disruptions in management of chronic conditions, and interruptions in children's schooling and nutrition. Nurses planning recovery services should include mental health support and chronic disease follow-up as core elements rather than afterthoughts.
Conclusion
The gap between an official count of 64 deaths and estimates of about 3,000 to 4,600 after Hurricane Maria shows how disasters can kill far more people than death certificates record, mostly through interrupted care and loss of essential services, and most often among older, poorer and medically dependent residents. Counting deaths by excess mortality reveals the true toll and points to prevention. Nurses have roles at every stage, from preparing vulnerable patients to documenting and preventing indirect deaths, and those roles begin long before the next storm arrives.
References
Issa, A., Ramadugu, K., Mulay, P., Hamilton, J., Siegel, V., Harrison, C., Campbell, C. M., Blackmore, C., Bayleyegn, T., & Boehmer, T. (2018). Deaths related to Hurricane Irma: Florida, Georgia, and North Carolina, September 4-October 10, 2017. MMWR Morbidity and Mortality Weekly Report, 67(30), 829-832. https://doi.org/10.15585/mmwr.mm6730a5
Kishore, N., Marqués, D., Mahmud, A., Kiang, M. V., Rodriguez, I., Fuller, A., Ebner, P., Sorensen, C., Racy, F., Lemery, J., Maas, L., Leaning, J., Irizarry, R. A., Balsari, S., & Buckee, C. O. (2018). Mortality in Puerto Rico after Hurricane Maria. New England Journal of Medicine, 379(2), 162-170. https://doi.org/10.1056/NEJMsa1803972
Santos-Burgoa, C., Sandberg, J., Suárez, E., Goldman-Hawes, A., Zeger, S., Garcia-Meza, A., Pérez, C. M., Estrada-Merly, N., Colón-Ramos, U., Nazario, C. M., Andrade, E., Roess, A., & Goldman, L. (2018). Differential and persistent risk of excess mortality from Hurricane Maria in Puerto Rico: A time-series analysis. The Lancet Planetary Health, 2(11), e478-e488. https://doi.org/10.1016/S2542-5196(18)30209-2
DNP 830 Module 4 instructions, in plain terms
Aspen keeps DNP 830 prompts inside the classroom, so this example matches the catalog description of the course's focus on threats to global population health, including disasters. A disaster paper usually asks you to analyze the health effects of a specific event, explain how those effects were measured, and discuss nursing and public health responses. Check whether your prompt specifies natural or human-made disasters, a recent event or a historical one, and whether it wants preparedness recommendations. Some instructors ask for the disaster cycle as a framework. Confirm the length and sources, and use peer-reviewed estimates rather than media counts when you report deaths.
How this DNP 830 Module 4 example is built
Eight sections carry roughly 1,010 words. The disaster section describes the storm and the prolonged loss of power and services. Counting the deaths compares the official figure with survey and vital records estimates and explains the methods. Who was most at risk presents age, sex and poverty patterns. How indirect deaths happen draws on surveillance of another hurricane to explain deaths from interrupted dialysis, oxygen and heat. A global pattern shows the same undercounting elsewhere. Lessons for nurses list prevention and documentation roles. Beyond mortality mentions illness and mental health effects. The conclusion restates the measurement lesson and why it matters for planning the next response.
DNP 830 Module 4 rubric: what earns full marks
The rubric will look for accurate reporting of effects, an understanding of measurement and practical nursing roles. This example earns measurement points by explaining why estimates differ rather than simply picking one, and the margin notes show how that approach lets the reader judge the evidence. Risk distribution addresses equity criteria. Mechanisms of indirect death link measurement to prevention, which strengthens the analysis. Nursing roles in documentation are a less obvious point that graders tend to credit. Organization moves from event to measurement to risk to mechanism to response. Format credit depends on citing each estimate with its study, and on consistent figures throughout the paper.
DNP 830 Module 4 help from the desk
Students often report a single death count without explaining where it came from or how uncertain it is. Name the method and its limits. Another mistake is focusing only on the storm itself, when most deaths in prolonged disasters come later from lost power, medicines and care. Explain indirect deaths. Papers also skip who was most affected, which leaves out the equity analysis graders expect. Some students make recommendations that are too general, such as improving preparedness, which gives a grader nothing to assess. Name specific actions, such as registries of patients who depend on electricity. Finally, avoid political commentary about the official response. Keep the analysis on evidence and prevention, and let the gap between the counts speak for itself. Readers draw the conclusion without being told whom to blame.
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.
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DNP 830 Module 4 questions, answered
What does DNP 830 Module 4 usually ask for?
Aspen's DNP 830 description includes the effects of disasters, so a paper on the health effects of a disaster and how they are measured is a typical assignment. Check your classroom for the prompt.
What is excess mortality?
The number of deaths above what would be expected based on previous periods, regardless of recorded cause, used to capture both direct and indirect deaths from events such as disasters and pandemics.
Why was the official Hurricane Maria death toll so low?
It relied on death certificates explicitly linking deaths to the hurricane, which missed most indirect deaths from interrupted care, power loss and other disruptions.
Where can I find a free DNP 830 Module 4 sample paper?
The Hurricane Maria excess mortality paper is reproduced here in full with notes on each section, free to read. For a paper on another disaster, or on preparedness in your own region, use the request form.
What is excess mortality in DNP 830 Module 4?
Excess mortality is the number of deaths above what would be expected in the same period without the disaster. It captures indirect deaths, such as those from interrupted care, that death certificates often miss, which is why it gave a much higher figure after Hurricane Maria.