# Predictors of hospital-acquired bacterial and fungal superinfections in COVID-19: a prospective observational study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predictors-of-hospital-acquired-bacterial-and-fungal-superinfections-in-covid-19/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marco Falcone,Giusy Tiseo,Cesira Giordano,Alessandro Leonildi,M. Menichini,Alessandra Vecchione,Mauro Pistello,Fabio Guarracino,Lorenzo Ghiadoni,Francesco Forfori,Simona Barnini,Francesco Menichetti,the Pisa COVID-19 Study Group,Sabrina Agostini o Degl'Innocenti,Greta Barbieri,Martina Biancalana,Matteo Borselli,Nencini Elia,S. Spinelli,Rachele Antognoli,Calsolario Valeria,Fabio Monzani,Paterni Simone,Rubia Baldassarri,Pietro Bertini,Brizzi Giulia,Alessandra Della Rocca,P Malacarne,Monfroni Marco,Chiara Piagnani,Nicoletta Carpenè,Laura Carrozzi,Alessandro Celi,Massimiliano Desideri,Marco Gherardi,Massimiliano Serradori,Francesco Cinotti,Alessandro Cipriano,Naria Park,Forotti Giovanna,Alessandro Mengozzi,Stefano Masi,Ruberti Francesca,Sciuto Maria,Agostino Virdis,Fabrizio Maggi,Valentina Galfo |
| Citations | 154 |
| DOI | 10.1093/jac/dkaa530 |
| Fields | Immunology and Microbiology,Medicine,Nursing |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://academic.oup.com/jac/article-pdf/76/4/1078/36580424/dkaa530.pdf |
| OpenAlex ID | https://openalex.org/W3115438532 |
| PMID | 33374002 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Francesco Forfori](https://scholariq.org/researchers/francesco-forfori/)

## Paper primary topic

- [Antibiotic Use and Resistance](https://scholariq.org/topics/antibiotic-use-and-resistance/)

## Paper topics

- [Antibiotic Use and Resistance](https://scholariq.org/topics/antibiotic-use-and-resistance/)
- [SARS-CoV-2 and COVID-19 Research](https://scholariq.org/topics/sars-cov-2-and-covid-19-research/)
- [Vitamin C and Antioxidants Research](https://scholariq.org/topics/vitamin-c-and-antioxidants-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.