tetano
Editor, Senior Moderator
Sci Rep
. 2023 Jun 29;13(1):10547.
doi: 10.1038/s41598-023-36908-5. Influenza transmissibility among patients and health-care professionals in a geriatric short-stay unit using individual contact data
Marie-Paule Gustin[SUP] 1 [/SUP], Laurent Pujo-Menjouet[SUP] 2 [/SUP], Philippe Vanhems[SUP] 3 [/SUP]
Affiliations
Detailed information are lacking on influenza transmissibility in hospital although clusters are regularly reported. In this pilot study, our goal was to estimate the transmission rate of H3N2 2012-influenza, among patients and health care professionals in a short-term Acute Care for the Elderly Unit by using a stochastic approach and a simple susceptible-exposed-infectious-removed model. Transmission parameters were derived from documented individual contact data collected by Radio Frequency IDentification technology at the epidemic peak. From our model, nurses appeared to transmit infection to a patient more frequently with a transmission rate of 1.04 per day on average compared to 0.38 from medical doctors. This transmission rate was 0.34 between nurses. These results, even obtained in this specific context, might give a relevant insight of the influenza dynamics in hospitals and will help to improve and to target control measures for preventing nosocomial transmission of influenza. The investigation of nosocomial transmission of SARS-COV-2 might gain from similar approaches.
. 2023 Jun 29;13(1):10547.
doi: 10.1038/s41598-023-36908-5. Influenza transmissibility among patients and health-care professionals in a geriatric short-stay unit using individual contact data
Marie-Paule Gustin[SUP] 1 [/SUP], Laurent Pujo-Menjouet[SUP] 2 [/SUP], Philippe Vanhems[SUP] 3 [/SUP]
Affiliations
- PMID: 37386032
- DOI: 10.1038/s41598-023-36908-5
Detailed information are lacking on influenza transmissibility in hospital although clusters are regularly reported. In this pilot study, our goal was to estimate the transmission rate of H3N2 2012-influenza, among patients and health care professionals in a short-term Acute Care for the Elderly Unit by using a stochastic approach and a simple susceptible-exposed-infectious-removed model. Transmission parameters were derived from documented individual contact data collected by Radio Frequency IDentification technology at the epidemic peak. From our model, nurses appeared to transmit infection to a patient more frequently with a transmission rate of 1.04 per day on average compared to 0.38 from medical doctors. This transmission rate was 0.34 between nurses. These results, even obtained in this specific context, might give a relevant insight of the influenza dynamics in hospitals and will help to improve and to target control measures for preventing nosocomial transmission of influenza. The investigation of nosocomial transmission of SARS-COV-2 might gain from similar approaches.