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. 2023 Dec 2;13:21288. doi: 10.1038/s41598-023-48390-0

Table 2.

Description of variables and parameters in ZERO-G method.

Variable Description Source
rit The reported incidence in zone i at time t Data
Zit Binomial variable representing if there was zero reported incidence Data
hit Number of non-focal disease consultations Data
nit Population count of zone Data
Xi Longitude of zone i Data
Yi Latitude of zone i Data
dij Distance between zone i and health facility j. Can be calculated using Euclidean distance or based on actual routing Data
νjst Value of health service s provided at health facility j at time t Data
mt Month of year (e.g. Jan-Dec) at time t Data
Nit The ZERO-G estimated incidence after correcting for under-ascertainment Equation (1)
Ait FCA-based healthcare access Equation (2, 3)
Sjt Services provided by health facility j at time t Equation (4)
βs Coefficient for health service s Equation (4)
λ Distance decay coefficient Equation (5)
Cjt Competition at health facility j at time t Equation (6)
βc Scaling coefficient for competition at health facilities Equation (6)
gt Function describing temporal trend in . Specific function can be adjusted based on need Equation (7)
ψit Probability of zero reported incidence Equation (8, 9)
βz1z3 Coefficients used to estimate probability of zero reported incidence Equation (9)
rit Zero-adjusted reported incidence Equation (10)
RFX Function describing random forest algorithm used in data imputation Equation (10)
SIit The sampling intensity in zone i at time t Equation (11)
x1,x2 Scaling coefficients for SI Equation (12)

Parameters estimated via the ZERO-G method have the corresponding equations listed as their source.

Note Subscript i refers to zone i and subscript t refers to month t.