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. 2022 Jul 11;231(18-20):3577–3589. doi: 10.1140/epjs/s11734-022-00617-3
Setting input parameters for the NSM
Let Λi no.of confirmed cases
Θi no.of tested cases
ΔΘi average daily confirmed cases
Δdi average tested cases
Imi no.of imported cases
Ibi no.of inbound cases
if C(Λi,Θi)=0:0.3
then Γ=0.1
elseif C(Λi,Θi)=0.3:0.7
then Γ=0.5
else
C(Λi,Θi)=0.7:1.0
then Γ=1.0
for Λi=0:50
if L=1 #level 1
then Ψ =1.0
else Ψ =0.25
for Λi=50:100
if L=2 #level 2
then Ψ =1.0
elseif L=1 #level 1
then Ψ =0.5
else Ψ =0.25
for Λi=100:200
if L=3 #level 3
then Ψ =1.0
elseif L=2 #level 2
then Ψ =0.5
else Ψ =0.25
if δ=0:100
then S(Θi) =0.2
elseif δ=100:200
then S(Θi) =0.4
elseif δ=200:500
then S(Θi) =0.8
else δ=500:1000
then S(Θi) =1.0
if C(Imi,Ibi)=0:0.3
then Φ=0.1
elseif C(Imi,Ibi)=0.3:0.7
then Φ=0.5
else
C(Imi,Ibi)=0.7:1.0
then Φ=1.0
if ϖ=0:30%
then Ξ =0.22
elseif ϖ=30:50%
then Ξ =0.4
elseif ϖ=50:80%
then Ξ =0.8
else ϖ=80:100
then Ξ =1.0
Determine the normative safety measure
Calculate Γ=C(Λi,Θi) correlation between Λi and Θi
Determine the score of social distance level (Ψ)
Evaluate the speed of testing cases S(Θi)
Calculate Φ=C(Imi,Ibi) correlation between Imi and Ibi
Determine Ξ score of mask wearing level
Calculate NSM(R)
Sort NSM(R) by ascending order