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2d Multiscale models
Method
1
#714692
Multiscale models incorporating deterministic, stochastic and trait-based components.
Immediately related elements
How this works
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EIDM »
EIDM
EIDM ☜The Emerging Infectious Diseases Modelling Initiative (EIDM) – by the Public Health Agency of Canada and NSERC – aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19. [1]☜F1CEB7
▲
Networks »
Networks
Networks☜Learn more about the five EIDM networks: CANMOD, MfPH, OMNI, OSN, and SMMEID.☜79B9B9
▲
Charting a Future »
Charting a Future
Charting a Future☜Charting a Future for Emerging Infectious Disease Modelling in Canada – April 2023 [1] ☜94CAE1
▲
G) Future Research and Challenges »
G) Future Research and Challenges
G) Future Research and Challenges☜Going forward, we envisage EIDM activity outside the context of a public health crisis. We believe such activity should embrace the entire spectrum of disease topics – within wildlife, between wildlife and livestock, between livestock and humans, within and among humans (Figure 1), and evolution pre- and post-human to human transmission.☜FFB597
▲
Methods »
Methods
Methods☜☜AECCD8
▲
1) Established methods »
1) Established methods
1) Established methods☜☜AECCD8
■
2d Multiscale models
2d Multiscale models☜Multiscale models incorporating deterministic, stochastic and trait-based components.☜AECCD8
►
2d Assess within- and between-host dynamics »
2d Assess within- and between-host dynamics
2d Assess within- and between-host dynamics☜Assess within- and between-host dynamics of EID based on immunology and evolution.☜FFFACD
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[1]
Crossing the scale from within-host infection dynamics to between-host transmission fitness: a discussion of current assumptions and knowledge
Cituoja:
Andreas Handel, Pejman Rohani
Publication date:
19 August 2015
Publication info:
Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 370(1675).
Cituojamas:
David Price
10:50 AM 6 November 2023 GMT
URL:
https://debategraph.org/handler.ashx?path=ROOT%2fu2928%2fhandel-et-al-2015-crossing-the-scale-from-within-host-infection-dynamics-to-between-host-transmission-fitness-a.pdf&att=1
DOI:
https://doi.org/10.1098/rstb.2014.0302
Ištrauka -
[Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 19 August 2015]
The progression of an infection within a host determines the ability of a pathogen to transmit to new hosts and to maintain itself in the population. While the general connection between the infection dynamics within a host and the population-level transmission dynamics of pathogens is widely acknowledged, a comprehensive and quantitative understanding that would allow full integration of the two scales is still lacking. Here, we provide a brief discussion of both models and data that have attempted to provide quantitative mappings from within-host infection dynamics to transmission fitness. We present a conceptual framework and provide examples of studies that have taken first steps towards development of a quantitative framework that scales from within-host infections to population-level fitness of different pathogens. We hope to illustrate some general themes, summarize some of the recent advances and—maybe most importantly—discuss gaps in our ability to bridge these scales, and to stimulate future research on this important topic.
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Redagavo:
David Price
NodeID:
#714692
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Method
Įvedimo data (GMT):
11/5/2023 7:06:00 PM
Paskutinės redakcijos data (GMT laikas):
11/5/2023 7:06:00 PM
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