Nonlinear Incidence Functions
Nonlinear Incidence Functions is a mathematical model in population compartmental analysis that describes the rate of new infections in an epidemiological system as a nonlinear function of the number of susceptible and infected individuals, thereby capturing saturation effects, behavioral changes, or heterogeneous mixing patterns not accounted for by linear incidence assumptions.
140
Publications
8.2K
Citations
292
Authors
163
Institutions
Publications per year
2017–2026
59
140
1–5 of 140
292
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163
Xinjiang University
Ürümqi, China
11 h-index
28 publications
662 citations

Wilfrid Laurier University
Waterloo, Canada
7 h-index
9 publications
493 citations

University of Abou Bekr Belkaïd
Tlemcen, Algeria
7 h-index
16 publications
683 citations
Xinyang Normal University
Xinyang, China
7 h-index
12 publications
395 citations

King Abdulaziz University
Jeddah, Saudi Arabia
5 h-index
11 publications
435 citations
China University of Petroleum, East China
Qingdao, China
5 h-index
8 publications
301 citations

Xinjiang Medical University
Ürümqi, China
5 h-index
6 publications
121 citations

Delhi Technological University
New Delhi, India
5 h-index
10 publications
270 citations
1–8 of 163
13 publications · 624 citations
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9 publications · 282 citations
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7 publications · 560 citations
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6 publications · 94 citations
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6 publications · 229 citations
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1–5