Tracking the spread of diseases can be an intricate, complex, and labor-intensive process. As a result, automated surveillance systems utilizing algorithms are employed to interpret data. Develop a simple algorithm to interpret data related to the disease or condition you selected for Order # 319984694 . To aid your development, review your Learning Resources and research the construction of algorithms.Write a 2-page paper that addresses the following:•Identify the indicators you chose to include and explain why they are appropriate.•Describe the logical process of the algorithm (you may wish to illustrate using a diagram).•Justify any other salient features of the algorithm.•Evaluate the strengths and limitations of the algorithm.Your written assignments must follow APA guidelines. Be sure to support your work with specific citations from this week’s Learning Resources and additional scholarly sources as appropriate.Required ReadingsDisease Surveillance: A Public Health Informatics Approach•Chapter 4, “Alerting Algorithms for Biosurveillance”Kulldorff, M. (2001). Prospective time periodic geographical disease surveillance using a scan statistic. Journal of Royal Statistical Society, 164(1), 61–72. Taubenberger, J. K., & Morens, D. M. (2006, January). 1918 influenza: The mother of all pandemics. Emerging Infectious Diseases, 12(1), 15–22. Optional ResourcesBrookmeyer, R., & Gail, M. H. (1994). AIDS epidemiology: A quantitative approach. New York, NY: Oxford University Press.Note: In particular, read Chapter 7, “Statistical Issues in Surveillance of AIDS Incidence,” found on pages 170 – 188.Ryan, T. P. (1989). Statistical methods for quality improvement. New York, NY: Wiley.