Evidence map›Paper›PMID 35092515›Full record

ArticleActa biotheoretica2022

The Hybrid Incidence Susceptible-Transmissible-Removed Model for Pandemics : Scaling Time to Predict an Epidemic's Population Density Dependent Temporal Propagation.

Ryan Lester Benjamin

Abstract read
In one paragraph

Article in Acta biotheoretica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Ryan Lester BenjaminLancet Laboratories, Johannesburg, South Africa. ryan.benjamin@lancet.co.za.ORCID http://orcid.org/0000-0002-4687-3013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The susceptible-transmissible-removed (STR) model is a deterministic compartment model, based on the susceptible-infected-removed (SIR) prototype. The STR replaces 2 SIR assumptions. SIR assumes that the emigration rate (due to death or recovery) is directly proportional to the infected compartment's size. The STR replaces this assumption with the biologically appropriate assumption that the emigration rate is the same as the immigration rate one infected period ago. This results in a unique delay differential equation epidemic model with the delay equal to the infected period. Hamer's mass action law for epidemiology is modified to resemble its chemistry precursor-the law of mass action. Constructing the model for an isolated population that exists on a surface bounded by the extent of the population's movements permits compartment density to replace compartment size. The STR reduces to a SIR model in a timescale that negates the delay-the transmissible timescale. This establishes that the SIR model applies to an isolated population in the disease's transmissible timescale. Cyclical social interactions will define a rhythmic timescale. It is demonstrated that the geometric mean maps transmissible timescale properties to their rhythmic timescale equivalents. This mapping defines the hybrid incidence (HI). The model validation demonstrates that the HI-STR can be constructed directly from the disease's transmission dynamics. The basic reproduction number ([Formula: see text]) is an epidemic impact property. The HI-STR model predicts that [Formula: see text] where [Formula: see text] is the population density, and [Formula: see text] is the ratio of time increments in the transmissible- and rhythmic timescales. The model is validated by experimentally verifying the relationship. [Formula: see text]'s dependence on [Formula: see text] is demonstrated for droplet-spread SARS in Asian cities, aerosol-spread measles in Europe and non-airborne Ebola in Africa.

Indexed as

Communicable DiseasesPandemicsAnimalsComputer SimulationEpidemiological ModelsIncidenceModels, BiologicalPopulation DensityBasic reproduction numberDelay differential equationHybrid incidenceRhythmic timescaleSusceptible-transmissible-removed (STR)Transmissible timescale

Identifiers

PMID35092515
PMCPMC8800439

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.