2016
DOI: 10.1186/s12976-016-0033-6
|View full text |Cite
|
Sign up to set email alerts
|

Modeling immune response and its effect on infectious disease outbreak dynamics

Abstract: BackgroundIn recent epidemiological models, immunity is incorporated as a simplified value that determines the capacity of an individual to become infected or to transmit the disease. Moreover, the quality of the immune response determines the chances of infection and the length of time an individual is capable to infect others. We present a model that incorporates individuals’ immune responses to, further, examine the role of the collective immune response of individuals in a population during an infectious o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
6
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 20 publications
(6 citation statements)
references
References 34 publications
0
6
0
Order By: Relevance
“…Several disease models have differing assumptions about mixing patterns between hosts. Mathematical and agent-based models have proven to be very useful in studying disease dynamics and assessing treatment strategies for specific groups and general populations [16][17][18][19].…”
Section: Methodsmentioning
confidence: 99%
“…Several disease models have differing assumptions about mixing patterns between hosts. Mathematical and agent-based models have proven to be very useful in studying disease dynamics and assessing treatment strategies for specific groups and general populations [16][17][18][19].…”
Section: Methodsmentioning
confidence: 99%
“…These equations were to calculate number of individuals in each sub-population. We further developed models to project the prevalence rate of these twin diseases in future, in relation to ongoing intervention en to be useful in investigating disease dynamics and assessing treatment strategies for specific groups and general populations [18][19][20][21]. Agent-Based Modelling (ABM) is a bottom-up approach of modeling, which has gained popularity in recent years, as a tool for providing insights into complex systems, policies, and solutions.…”
Section: Model Descriptionmentioning
confidence: 99%
“…The uses of mathematical models are wide ranging and they have been used to study anything from the interaction dynamics of human immune cells and bacteria during infection (Magombedze et al, 2006;Jayasundara et al, 2019), to collectively modeling individual immune responses in outbreaks (Kucharski et al, 2020) and vaccination programs (Reyes-Silveyra and Mikler, 2016), to finding the most likely causative gene regulation scenario for an observed expression output (Sturm et al, 2011;Dresch et al, 2013;Bowyer et al, 2017) or reconstructing the metabolome of intracellular pathogens (Thiele et al, 2013). The type of model and the input requirements will depend on the research question being asked and the level of detail or depth of information that is required.…”
Section: An Introduction To Mathematical Modelingmentioning
confidence: 99%