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R_0$$May Not Tell Us Everything: Transient Disease Dynamics of Some SIR Models Over Patchy Environments
by
Li, Ao
, Zou, Xingfu
in
Basic Reproduction Number
/ Communicable Diseases - epidemiology
/ Ecology
/ Epidemiological Models
/ Humans
/ Mathematical Concepts
/ Models, Biological
/ Population Dynamics
2024
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R_0$$May Not Tell Us Everything: Transient Disease Dynamics of Some SIR Models Over Patchy Environments
by
Li, Ao
, Zou, Xingfu
in
Basic Reproduction Number
/ Communicable Diseases - epidemiology
/ Ecology
/ Epidemiological Models
/ Humans
/ Mathematical Concepts
/ Models, Biological
/ Population Dynamics
2024
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Do you wish to request the book?
R_0$$May Not Tell Us Everything: Transient Disease Dynamics of Some SIR Models Over Patchy Environments
by
Li, Ao
, Zou, Xingfu
in
Basic Reproduction Number
/ Communicable Diseases - epidemiology
/ Ecology
/ Epidemiological Models
/ Humans
/ Mathematical Concepts
/ Models, Biological
/ Population Dynamics
2024
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R_0$$May Not Tell Us Everything: Transient Disease Dynamics of Some SIR Models Over Patchy Environments
Journal Article
R_0$$May Not Tell Us Everything: Transient Disease Dynamics of Some SIR Models Over Patchy Environments
2024
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Overview
This paper examines the short-term or transient dynamics of SIR infectious disease models in patch environments. We employ reactivity of an equilibrium and amplification rates, concepts from ecology, to analyze how dispersals/travels between patches, spatial heterogeneity, and other disease-related parameters impact short-term dynamics. Our findings reveal that in certain scenarios, due to the impact of spatial heterogeneity and the dispersals, the short-term disease dynamics over a patch environment may disagree with the long-term disease dynamics that is typically reflected by the basic reproduction number. Such an inconsistence can mislead the public, public healthy agencies and governments when making public health policy and decisions, and hence, these findings are of practical importance.
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