Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/171376Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Pedro Miguel da Silva Ferreira | |
| dc.date.accessioned | 2026-10-31T02:41:17Z | - |
| dc.date.available | 2026-10-31T02:41:17Z | - |
| dc.date.issued | 2025-10-30 | |
| dc.date.submitted | 2025-12-12 | |
| dc.identifier.other | sigarra:751313 | |
| dc.identifier.uri | https://hdl.handle.net/10216/171376 | - |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Ciências biológicas | |
| dc.subject | Biological sciences | |
| dc.title | Predicting the behavior of COVID-19 pandemics | |
| dc.type | Tese | |
| dc.contributor.uporto | Instituto de Ciências Biomédicas Abel Salazar | |
| dc.identifier.tid | 101682980 | |
| dc.subject.fos | Ciências exactas e naturais::Ciências biológicas | |
| dc.subject.fos | Natural sciences::Biological sciences | |
| thesis.degree.discipline | Programa Doutoral em Ciências Biomédicas | |
| thesis.degree.grantor | Instituto de Ciências Biomédicas Abel Salazar | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 2 | |
| rcaap.embargofct | artigos cientificos | |
| Appears in Collections: | ICBAS - Tese | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 751313.pdf | Predicting the behavior of COVID-19 pandemics | 39.84 MB | Adobe PDF | ![]() View/Open |
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