Unknown

Dataset Information

0

Improved susceptible-infectious-susceptible epidemic equations based on uncertainties and autocorrelation functions.


ABSTRACT: Compartmental equations are primary tools in the study of disease spreading processes. They provide accurate predictions for large populations but poor results whenever the integer nature of the number of agents is evident. In the latter instance, uncertainties are relevant factors for pathogen transmission. Starting from the agent-based approach, we investigate the role of uncertainties and autocorrelation functions in the susceptible-infectious-susceptible (SIS) epidemic model, including their relationship with epidemiological variables. We find new differential equations that take uncertainties into account. The findings provide improved equations, offering new insights on disease spreading processes.

SUBMITTER: Nakamura GM 

PROVIDER: S-EPMC7062106 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Improved susceptible-infectious-susceptible epidemic equations based on uncertainties and autocorrelation functions.

Nakamura Gilberto M GM   Cardoso George C GC   Martinez Alexandre S AS  

Royal Society open science 20200219 2


Compartmental equations are primary tools in the study of disease spreading processes. They provide accurate predictions for large populations but poor results whenever the integer nature of the number of agents is evident. In the latter instance, uncertainties are relevant factors for pathogen transmission. Starting from the agent-based approach, we investigate the role of uncertainties and autocorrelation functions in the susceptible-infectious-susceptible (SIS) epidemic model, including their  ...[more]

Similar Datasets

| S-EPMC7794373 | biostudies-literature
| S-EPMC8046215 | biostudies-literature
| S-EPMC10161091 | biostudies-literature
| S-EPMC3461049 | biostudies-other
| S-EPMC5283726 | biostudies-literature
| S-EPMC5569095 | biostudies-literature
| S-EPMC5622772 | biostudies-literature
| S-EPMC6281434 | biostudies-literature
| S-EPMC7226907 | biostudies-literature
| S-EPMC6275238 | biostudies-other