Data Sheet 1_Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data.pdf

Data Sheet 1_Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data.pdf

Introduction<p>Post-acute sequelae of COVID-19 (PASC) encompass several clinical outcomes, from new-onset symptoms to both acute and chronic diagnoses, including pulmonary and extrapulmonary manifestations. Health administrative data (HAD) from health information systems allow population-level...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Cristina Mazzali (22090328) (author)
مؤلفون آخرون: Pietro Magnoni (22090331) (author), Alberto Zucchi (75853) (author), Giovanni Maifredi (18787936) (author), Luca Cavalieri d’Oro (12237519) (author), Maria Letizia Gambino (22090334) (author), Anna Clara Fanetti (16030418) (author), Pietro Giovanni Perotti (22090337) (author), Marco Villa (4534591) (author), Maria Grazia Valsecchi (8422263) (author), Daria Vigani (22090343) (author), Claudio Lucifora (14676057) (author), Antonio Giampiero Russo (12966419) (author)
منشور في: 2025
الموضوعات:
Public Health and Health Services not elsewhere classified
COVID-19
PASC
long COVID
health administrative data
routinely collected data
case-detection algorithm
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