Forecasting Algorithms For Immunization
Forecasting Algorithms for Immunization is a computational method that predicts future immunization needs or coverage levels by analyzing historical vaccination data and epidemiological trends, distinguishing it from general forecasting models through its specific application to public health immunization planning.
13
Publications
372
Citations
47
Authors
26
Institutions
Publications per year
2017–2026
9
13
1–5 of 13
47
2
h-index
2
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1–5 of 47
26
Yale University
New Haven, United States
2 h-index
5 publications
59 citations

Magna Graecia University
Catanzaro, Italy
2 h-index
2 publications
49 citations

University of Molise
Campobasso, Italy
2 h-index
2 publications
49 citations
University of Bari Aldo Moro
Bari, Italy
2 h-index
2 publications
49 citations
Umm al-Qura University
Makkah al Mukarramah, Saudi Arabia
1 h-index
1 publications
22 citations
IZA - Institute of Labor Economics
Bonn, Germany
1 h-index
1 publications
39 citations
Statens Serum Institut
Copenhagen, Denmark
1 h-index
1 publications
15 citations

Tanta University
Tanta, Egypt
1 h-index
2 publications
44 citations
1–8 of 26
2 publications · 26 citations
2
h-index
1 publications · 40 citations
1
h-index
1 publications · 17 citations
1
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Repository · 1 publications · 15 citations
1
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Repository · 1 publications · 24 citations
1
h-index
1–5