Population Compartmental Analysis
Population Compartmental Analysis is a mathematical modeling framework within compartmental analysis that partitions a population into discrete homogeneous subgroups based on shared characteristics or states, enabling the study of dynamic interactions and transitions between these states over time.
17
Publications
430
Citations
53
Authors
33
Institutions
Publications per year
2017–2026
10
Parents
Children
Age-structured Compartmental ModelsContact Network Compartmental ModelsDelay Differential Compartmental ModelsDeterministic Compartmental ModelsFractional-order Compartmental ModelsHerd Immunity ThresholdsHost-vector Compartmental ModelsIsolation ModelsMulti-group Compartmental ModelsNonlinear Incidence Functions
17
Alessandra Cartocci, Gabriele Cevenini, Paolo Barbini · Journal of Biomedical Informatics · 2021 · 28 citations · Full text
1–5 of 17
53
1
h-index
1
h-index
1
h-index
Rutgers, The State University of New Jersey, United States
1 publications · 11 citations
1
h-index
1
h-index
1–5 of 53
33
Evonik (Germany)
Essen, Germany
1 h-index
1 publications
11 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
1 h-index
3 publications
33 citations

Bayero University Kano
Kano, Nigeria
1 h-index
1 publications
29 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
24 citations

Santa Fe Institute
Santa Fe, United States
1 h-index
1 publications
16 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
1 publications
29 citations
North Carolina State University
Raleigh, United States
1 h-index
4 publications
92 citations
United States Food and Drug Administration
Silver Spring, United States
1 h-index
1 publications
25 citations
1–8 of 33
1 publications · 29 citations
1
h-index
1 publications · 20 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 26 citations
1
h-index
1–5