Bacterial Meningitis : Epidemiology and Vaccination
| Bacterial Meningitis : Epidemiology and Vaccination |
| Autore | Stuart James M |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (274 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
Africa
antibiotic resistance bacterial meningitis burden Burkina Faso capsule cerebrospinal fluid child mortality children complement conjugate vaccine conjugate vaccines corticosteroid dexamethasone disability enterovirus epidemiology epilepsy etiologic diagnosis focal neurological deficit genetic factors global global health global health estimates group B streptococci group B streptococcus group B Streptococcus H. influenzae Haemophilus influenzae hearing loss Hia Hib hydrocephalus impact of Hib conjugate vaccine invasive bacterial infections invasive meningococcal disease invasive pneumococcal disease mathematical modelling meningitis meningococcal carriage meningococcal group meningococcal urethritis meningococcus meta-analysis modelling N. meningitidis n/a national reference laboratory Neisseria meningitidis neonatal infections neonatal sepsis neurological sequelae Niger nongroupable NTHi PCV impact pneumococcal conjugate vaccines pneumococcal meningitis pneumococcus post-vaccine surveillance rapid diagnostic test S. agalactiae S. pneumoniae seizure serotype distribution serotypes social and economic costs Streptococcus agalactiae Streptococcus pneumoniae surveillance susceptibility TBM tuberculosis tuberculous meningitis vaccine vaccine impact WHO meningitis roadmap |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Bacterial Meningitis |
| Record Nr. | UNINA-9910557626103321 |
Stuart James M
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry
| Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy: Data Mining, Biochemistry and Clinical Chemistry |
| Autore | Vignoli Alessia |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (136 p.) |
| Soggetto topico |
Biochemistry
Biology, life sciences Research and information: general |
| Soggetto non controllato |
artificial intelligence
biomarkers clustering coffee beans coffee processing coffee varieties colorectal cancer COVID-19 deep learning EOS exhaled breath condensate health science human plasma LOS machine learning metabolomics n/a nanoparticles exposure neonatal sepsis NMR NMR metabolomics NMR spectroscopy nuclear magnetic resonance nuclear magnetic resonance spectroscopy phenotyping post-harvest treatment preterm birth relapse surgery |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Research in Metabolomics via Nuclear Magnetic Resonance Spectroscopy |
| Record Nr. | UNINA-9910585936303321 |
Vignoli Alessia
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||