Collated Distributions: A New Model for Infectious Disease Spread Using Early COVID-19 Data


Authors : Benjamin T. Solomon

Volume/Issue : Volume 11 - 2026, Issue 1 - January


Google Scholar : https://tinyurl.com/3kavwdsk

Scribd : https://tinyurl.com/8vmv6n62

DOI : https://doi.org/10.38124/ijisrt/26jan1500

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : A new modelling technique, Collated Distributions (CD), is presented, to model Infectious Disease Spread (IDS). This modeling shows that there are 3 probability distributions that one must determine to effectively manage public health, infectability, mortality and survival. Thus, leading to better understanding of Infectious Disease Spread (IDS). The Reproduction Model used in COVID-19 disease spread modeling is shown to be doubtful. Collated Distributions have implications in many other fields of study such as dissemination of knowledge, and the rise and fall of civilizations.

Keywords : Covid, Mortality, Survival, Disease, Health Policy.

References :

  1. Benjamin Solomon, Solomon's Method for Collated Distributions Used in Mortgage-Backed Securities, SeekingAlpha.com, April 20, 2020. https://seekingalpha.com/article/4338509-solomons-method-for-collated-distributions-used-in-mortgage-backed-securities
  2. Benjamin Solomon, A Critique of Dodd-Frank: Forecasting Securitized Mortgage Credit & Default Risk, Scholar’s Press, 2021, https://www.morebooks.shop/store/gb/book/a-critique-of-dodd-frank/isbn/978-613-8-95350-0
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  14. Benjamin T. Solomon; Dagmar Horvath. “Comparing a Type 2 Diabetic to Non-Diabetics’ Blood Glucose Levels.” Volume. 11 Issue.1, January 2026 International Journal of Innovative Science and Research Technology (IJISRT) 134-145 https://doi.org/10.38124/ijisrt/26jan107
  15. IHME Staff, CurveFit, https://ihmeuw-msca.github.io/CurveFit/methods/#statistical-model, accessed 04/23/2020.
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A new modelling technique, Collated Distributions (CD), is presented, to model Infectious Disease Spread (IDS). This modeling shows that there are 3 probability distributions that one must determine to effectively manage public health, infectability, mortality and survival. Thus, leading to better understanding of Infectious Disease Spread (IDS). The Reproduction Model used in COVID-19 disease spread modeling is shown to be doubtful. Collated Distributions have implications in many other fields of study such as dissemination of knowledge, and the rise and fall of civilizations.

Keywords : Covid, Mortality, Survival, Disease, Health Policy.

Paper Submission Last Date
28 - February - 2026

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