Taking a family history is an important step in determining current and future health needs and education. There are many tools available to complete a comprehensive health history. The Surgeon General’s tool, “My Family Health Portrait,” located in the topic Resources, is part of the larger Family Health History Initiative that encourages people to talk about and write down health issues that seem to run in the family, bringing a larger focus on this important issue. This assignment allows the learner to use the tool and become familiar with this initiative.
Use the following information to ensure successful completion of the assignment:
Doctoral learners are required to use APA style for their writing assignments.
This assignment requires that at least three additional scholarly research sources related to this topic and at least two in-text citation for each source be included.
You are required to submit this assignment to LopesWrite for checking similarity score and plagiarism.
Perform the following to successfully complete the assignment:
Use the Surgeon General’s tool, “My Family Health Portrait,” located in the topic Resources, to document your own family history.
Designate a proband for the pedigree with a disease or condition of interest.
A summary in (750-1,000 words) of your findings that includes the following:
a. Discuss of the heredity patterns discovered
b. Evaluate the risk of transmission to other/new family members
c. Propose the feasibility of using this tool in your own practice..
Li, D., Xia, H., Li, Z., Hua, L., & Li, L. (2015). Identification of novel breast cancer subtype-specific biomarkers by integrating genomics analysis of DNA copy number aberrations and miRNA-mRNA dual expression profiling. BioMed Research International, 2015, 1-17. https://doi.org/10.1155/2015/746970
Calzone, K. A., Kirk, M., Tonkin, E., Badzek, L., Benjamin, C., & Middleton, A. (2018). The global landscape of nursing and genomics. Journal of Nursing Scholarship, 50(3), 249-256. https://doi.org/10.1111/jnu.12380
Pellestor, F. (2019). Chromoanagenesis: Cataclysms behind complex chromosomal rearrangements. Molecular Cytogenetics, 12(6). https://doi.org/10.1186/s13039-019-0415-7
My Family Health Portrait- http://kahuna.clayton.edu/jqu/FHH/html/index.html
Statistics in medicine help provide context and meaning to data collected through research. One must be able to differentiate the quality of the research, decide if there is any bias and if the numbers can back up the research.
COVID-19 spreads via human-to-human transmission through droplets, close contact, or respiratory droplets and is widely accepted based on reports from the World Health Organization (WHO), The Centers for Disease Control and Prevention (CDC) (2020), and other sources of academic research. Kolifarhood et al. (2020) discuss how variables such as overall health, co-morbidities, and the level of viral load one is exposed to can impact the severity of symptoms and incubation period. Kolifoarhood et al. (2020) found the median incubation period for COVID-19 was 5-6 days; however, variances were noted from 2-14 days depending on the location and health history of the patient.
Median Infectivity, Pathogenicity and Incubation
When COVID-19 infectivity was compared to SARS and MERS, it was slightly higher. SARS and MERS infectivity index was 2, meaning each person infected could infect two additional persons. Research conducted for COVID-19 found that the median infection rate was 2.79 persons (Kolifarhood et al., 2020).
Pathogenicity is the “capability of the pathogen to establish and induce infection with different clinical manifestations in humans” (Kolifarhood et al., 2020, p.3). The WHO reported that 82% of infected persons reported mild symptoms, and the median recovery was two weeks, and more severe cases took 3-6 weeks.
Kolifarhood et al. (2020) state that a WHO report found incubation periods ranged between 2-14 days with a median incubation period for human to human transmission as 5-6 days. However, other sources reported incubation periods of 6.4 days up to 24. Differences in findings are partially attributed to the various calculation formulas, and the difference noted for meaningful information is of value as it could form ineffective public health measures.
Helpful information would include demographics. Including demographics would provide more detailed information regarding what populations are infected or at risk, so public health officials could investigate and provide more focused support to those populations. Additionally, here in Honolulu, we found that the most severe cases in the intensive care unit were due to a delay in care. More research on why people delayed care and how many days on average they waited would be helpful for primary care providers and public service announcements.
CDC. (2020, March 28). COVID Data Tracker. Centers for Disease Control and Prevention. Retrieved March 21, 2022, from
Kolifarhood, G., Aghaali,M., Saadati, H.M., Taherpour, N., Rahimi, S., Izadi, M., & Nazari, S.S.H. (2020, April).
Epidemiological and Clinical
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