Page 70 - GHES-2-1

Global Health Econ Sustain Quantum Data Lake for epidemic analysis

presented as the evolution of the quantum system in Robson semantic triples can be represented using
time. The simulated dynamics of the HIV infection mathematical operations (multiplication, division, addition,
displayed a correlation with actual retrospective data in subtraction, and/or exponentiation) and transformations
the Chile population for 15 years. Beneduci et al. (2021) (complex conjugation) with a Hermitian commutator
simulated the spatiotemporal evolution of the COVID-19 (Robson & Boray, 2018). In addition, triples can have
epidemic by applying the SIR model and quantum system irreversible, non-Hermitian, asymmetric relationships
dynamics with three probability clouds ψS (susceptible), ψI (Equations IX–XV),
(infectious), and ψR (recovered). {a, b} {c, d} = {ac, bd} (IX)
Therefore, it must be emphasized that epidemic or {virus |causes| disease } {virus |causes| disease } =
infectious disease modeling faces several significant a 1 b 2
problems, such as disconnected data, uncertainty, and = {virus × virus |causes| disease × disease },
1
2
b
a
multidimensionality. In the discussed works above, {a, b}/{c, d} = {a/c, b/d}, (X)
researchers have made an impact in solving these problems
with quantum theory. Importantly, the quantum approach {disease |and| disease }/{Infected |and| Deceased} =
1
2
is preferred to transform raw data (with no value) into = {disease /Infected |and| disease /Deceased},
1
2
valuable interpretations.
{a, b} + {c, d} = {a + c, b + d}, (XI)
3.3. Data mining with the quantum universal {virus , |is associated with| disease case } + {virus , |is
a1
exchange language (Q-UEL) associated with| disease case } = 1 a2
2
Data mining for a quantum computer should align more = {virus + virus |are associated with| disease case +
a1
closely with quantum logic. The Q-UEL, based on bra disease case }, a2 1
⟨ψ| and ket |ψ⟩ Dirac notation, was suggested by Robson 2
(Robson, 2007; Robson et al., 2013; Robson & Caruso, {a, b} – {c, d} = {a – c, b – d}, (XII)
2013; Robson, 2014; Robson et al., 2015; Robson & Boray, {Infected , Infected } – {Deceased , Deceased } =
2
2
1
1
2015; Robson, 2016; Robson & Boray, 2018; Robson, 2020; = {Infected – Deceased , Infected – Deceased },
Robson, 2022; Robson & St. Clair, 2022; Robson & Baek, 1 1 2 2
b
a
2023). Q-UEL contributes to shaping the future of the e {a, b} = {e , e }, (XIII)
internet as an intelligent thinking entity and is suitable for Susceptible {virus a, virus b} = {Susceptible virus a |and| Susceptible virus b },
data mining disconnected and scattered data on a massive
scale for knowledge management and big data aggregation ⟨a | R | b⟩ = ⟨b | R* | a⟩ = ⟨b | R | a⟩* (XIV)
and processing. Q-UEL can learn through data mining ⟨virus |causes| disease ⟩ = ⟨disease |is caused by| virus ⟩*,
and has established roles depending on the scope of the a 1 1 a
application. ⟨a | R | b⟩ ≠ ⟨b | R | a⟩*, (XV)
Robson (2020) described several roles of Q-UEL as ⟨Infected person with circadian blood pressure profile
follows: (a) Q-UEL represents the designed and generated |can become| Deceased after acute cerebrovascular stroke⟩
tags with logic, rendered as probabilistic statements in the ≠ ⟨Deceased after acute cerebrovascular stroke |cannot
database “Knowledge Representation Store.” (b) Q-UEL become| Infected person with circadian blood pressure
is involved in the automatic construction and evolution profile⟩*,
of the inference net, called the Hyperbolic Dirac Net. Robson semantic triples can be represented as a complex
(c) Q-UEL generates tag values as probabilities and odds number (Equation XVI), which is the combination of a
ratios. (d) Medical records and messages and other kinds real number and an imaginary number, where i = –1
of medical or other data and information can be written is the unit imaginary number. Robson semantic triples
in Q-UEL. (e) Q-UEL can facilitate the interoperability, can be described as matrices, which can contain real and
interconversion, and joining of diverse medical data. imaginary parts. The outer product is equivalent to a matrix
(f) Q-UEL can act as a programming language for data multiplication of a ket and a bra (Equations XVII and XVIII).
mining and inference construction. (g) Q-UEL can generate The matrix XVIII is related to a compartmental model: Is,
reports on large single tags, such as statistical summaries. insusceptible; V, vaccination; S, susceptible; I, infectious;
Dirac-like tags “bra-operator-ket,” “bra-relator-ket,” or Cs, carrier state; Q, quarantined; Co, complications; R,
Robson semantic triples would be presented as follows: recovered; and D, deceased. The compartmental model
⟨ subject expression | relationship operator expression | remains the most applied in epidemiology. The SIR model
object expression ⟩. was first developed by Ronald Ross and Hilda Hudson

Volume 2 Issue 1 (2024) 19 https://doi.org/10.36922/ghes.2148