| Course | NURS 832 Clinical Prevention and Biostatistics (NURS832) |
|---|---|
| Module/Week | 1 |
| Assignment | HealthMap Assessment, a one-page description |
| Paper type | One-page description of the HealthMap program |
| Length | about 368 words, 1 double-spaced pages plus title page and references. Course guide: a one-page description of the HealthMap program after investigating the website |
| Format | APA 7 student paper |
| Points | 50 |
| School | Liberty University Online |
| Program | DNP |
| Where it sits | Module/Week 1 in Liberty's published NURS 832 course guide; current sections can differ |
| Updated | October 2026 |
Free sample paper for NURS 832 Week 1
HealthMap: A One-Page Assessment of a Free Digital Disease Surveillance Map for a Family Nurse Practitioner in West Texas
[Student Name]
School of Nursing, Liberty University
NURS 832: Clinical Prevention and Biostatistics
HealthMap Assessment
[Instructor Name]
[Date]
The clinic setting is a composite; the website and studies described are real.
HealthMap: A One-Page Assessment of a Free Digital Disease Surveillance Map for a Family Nurse Practitioner in West Texas
HealthMap
HealthMap is a free, publicly available website and surveillance system that collects reports of infectious disease outbreaks from around the world and displays them on an interactive map. It was developed by researchers at Boston Children's Hospital to address a growing problem: outbreak information is scattered across thousands of news sources and alert services, and no clinician can read them all (Freifeld et al., 2008).
The system gathers reports from three kinds of sources: news media such as Google News, expert-curated accounts such as ProMED-mail and validated official alerts from public health agencies. Text processing algorithms then classify each report by disease and location and place it on the map. In the published description of the system, the automated classifier correctly classified 84% of 778 reports covering 87 disease categories and 89 countries, with higher accuracy for the structured ProMED alerts (91%) than for news reports (81%) (Freifeld et al., 2008). This approach, sometimes called digital or event-based surveillance, complements traditional reporting, which depends on laboratory confirmation and can lag days or weeks behind events. HealthMap's value is speed; its cost is that speed comes before certainty.
For a clinician, the map is simple to use. A search can be narrowed to one disease, such as measles, and to a region and period, and each marker links to the news story or official alert behind it (HealthMap, n.d.). A family nurse practitioner can use the site to check for outbreaks before a patient travels, to watch a regional outbreak spread county by county or to anticipate the illnesses patients may bring to the clinic next week.
HealthMap's strengths are speed, breadth and cost: it is free and can surface events in places with weak public health reporting. Its limits follow from its sources. Media coverage is uneven, so outbreaks that attract attention are overrepresented, and automated classification makes errors. Recent reviews describe platforms such as HealthMap and ProMED as tools that enable timely outbreak detection while noting risks around data quality and misinformation as artificial intelligence plays a larger role in surveillance (Alavi et al., 2026). HealthMap is therefore best used as an early signal to be confirmed through the health department, not as a substitute for it.
References
Alavi, S. M. A., Borgonovo, F., Pourghazi, F., Tande, A. J., Berbari, E. F., & O'Horo, J. C. (2026). Practical applications of artificial intelligence in infectious disease surveillance and control: Opportunities, challenges, and ethical considerations. Clinical Microbiology and Infection. Advance online publication. https://doi.org/10.1016/j.cmi.2026.07.052
Freifeld, C. C., Mandl, K. D., Reis, B. Y., & Brownstein, J. S. (2008). HealthMap: Global infectious disease monitoring through automated classification and visualization of Internet media reports. Journal of the American Medical Informatics Association, 15(2), 150-157. https://doi.org/10.1197/jamia.M2544
HealthMap. (n.d.). HealthMap. Boston Children's Hospital. Retrieved October 3, 2026, from https://www.healthmap.org/
What the NURS 832 Week 1 instructions ask
The HealthMap Assessment is the first graded assignment in NURS 832, due in Module/Week 1 alongside the opening chapters of Macha and McDonough's Epidemiology for Advanced Nursing Practice on epidemiology's role in advanced practice. The course guide asks the student to investigate the HealthMap website and write a one-page description of the program. The assignment is short, but it introduces the course's central idea: that disease in populations can be watched, measured and acted on. A good description, even at one page, goes beyond what the homepage says to explain how the system works and what an advanced practice nurse could do with it.
How this NURS 832 Week 1 example is built
The description begins with what HealthMap is: a free website, built by researchers at Boston Children's Hospital, that maps reports of disease outbreaks. It then explains how the system collects reports from news media, expert-curated sources and official alerts, uses text processing to classify each report by disease and location and displays them on an interactive map. A paragraph describes how a clinician narrows the map to one disease and region, and a final paragraph weighs the program's strengths, speed and breadth, against its limits, uneven accuracy and reliance on media attention. Three sources support the description, and the whole assessment fits on a single page without a separate introduction or conclusion.
NURS 832 Week 1 grading rubric: where the points go
Short descriptive assignments like this one are usually graded on accuracy, completeness, clarity of writing and correct APA citation. Instructors look for a description that explains the program's purpose, data sources, methods and outputs, rather than a list of features, and for at least a brief evaluation of its usefulness and limits for advanced practice. Because the assignment is limited to one page, concise writing earns credit: every sentence should tell the reader something about the program. Citing the published description of the system shows the student investigated beyond the website, and a sentence on how the tool fits the student's own practice shows why it matters.
NURS 832 Week 1 help: mistakes that cost points
Students often fill the HealthMap page with screenshots and impressions, or copy the site's own description. Instead, explain the program as an epidemiologist would: what data go in, how they are processed, what comes out and how reliable it is. Then add one concrete example of using it, such as checking for outbreaks before a patient travels or during a regional outbreak, and one honest limitation that a clinician should keep in mind. Keep to a single page, cite the system's design paper, and avoid filling space with history that does not help the reader understand how the tool is used. If the page runs long, cut the introduction first; the reader needs the method and the use more than the background.
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NURS 832 Week 1 questions, answered
What is the NURS 832 HealthMap Assessment?
A one-page description of the HealthMap website, due in Module/Week 1 of Liberty's DNP clinical prevention and biostatistics course for 50 points.
Where can I find a free NURS 832 Week 1 sample paper?
This page holds the full NURS 832 Week 1 HealthMap assessment written by a West Texas family nurse practitioner, with its references, free to read.
What is HealthMap?
A free website and system, started at Boston Children's Hospital, that gathers outbreak reports from news, expert and official sources, classifies them by disease and location and maps them.
How accurate is HealthMap?
In the 2008 description of the system, its automated classifier was 84% accurate across 778 reports, 91% for ProMED alerts and 81% for Google News reports.
How can a nurse practitioner use HealthMap?
To check for outbreaks in a patient's travel destination, follow regional outbreaks such as measles in real time and anticipate cases before official counts are released.
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