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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Characterizing superspreading potential of infectious disease: Decomposition of individual transmissibility

2022PLoS Computational BiologyJournalOpen access

10.1371/journal.pcbi.1010281 Full text9 citations

Authors

11 authors across 7 institutions in 4 countries.

Shi ZhaoFirst authorCorresponding
Marc K. C. Chong
Sukhyun Ryu
Zihao Guo
Mu He
Boqiang Chen
Salihu S. Musa
- Kano State University of Technology (NG)
Jingxuan Wang
Yushan Wu
Daihai HeCorresponding
Maggie H. WangSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

COVID-19 epidemiological studieslevel 3 · 1.00
SARS-CoV-2 and COVID-19 Researchlevel 3 · 0.99
Influenza Virus Research Studieslevel 3 · 0.99

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2022 · PLoS Computational Biology · 9 citations
https://openalex.org/W4283646773

Characterizing superspreading potential of infectious disease: Decomposition of individual transmissibility · Sankore