{"title":"SARS-CoV-2大流行对德国一所大型大学医院耐药菌传播稳健性的影响","authors":"Giovanna Donvito, Fabian Bürkin, Tjibbe Donker","doi":"10.1016/j.jhin.2025.04.032","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Patient transfers between hospital departments and wards frequently occur, and bring with them the risk of inter-department transmission of antibiotic-resistant bacteria (ARB). These bacteria form a risk to the patients already susceptible to colonisation and infection.</p><p><strong>Aim: </strong>Goal of this study is to assess the impact of the SARS-CoV-2 pandemic on the intra-hospital network of a large German university hospital.</p><p><strong>Methods: </strong>Using data collected from the hospital between 2019 and 2023 we developed a model to represent an intra-hospital transfer network with all patient movements among all the wards, by creating a time-sliced temporal network for each month. We described the network and assessed its robustness against ARB spread by simulating outbreaks among wards.</p><p><strong>Findings: </strong>Over the years studied, we found that in April 2020, when many elective surgeries were cancelled due to the SARS-CoV-2 pandemic, the robustness of the network strongly increased in comparison to all other months. Despite the network being relatively stable over the study period, it was affected by an internal change of hospital structure due to a hospital merging event.</p><p><strong>Conclusion: </strong>The intra-hospital transfer network was affected by external influences due to the pandemic, slowing down the potential spread of the nosocomial pathogens. The network was generally stable and quickly recovered, although an internal force affected the structure of the network. A better understanding of the influence of patient transfers will help to design intervention strategies against the spread of antimicrobial resistance within hospitals.</p>","PeriodicalId":54806,"journal":{"name":"Journal of Hospital Infection","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of the SARS-CoV-2 pandemic on the hospital robustness to antibiotic-resistant bacteria spread in a large German university hospital.\",\"authors\":\"Giovanna Donvito, Fabian Bürkin, Tjibbe Donker\",\"doi\":\"10.1016/j.jhin.2025.04.032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Patient transfers between hospital departments and wards frequently occur, and bring with them the risk of inter-department transmission of antibiotic-resistant bacteria (ARB). These bacteria form a risk to the patients already susceptible to colonisation and infection.</p><p><strong>Aim: </strong>Goal of this study is to assess the impact of the SARS-CoV-2 pandemic on the intra-hospital network of a large German university hospital.</p><p><strong>Methods: </strong>Using data collected from the hospital between 2019 and 2023 we developed a model to represent an intra-hospital transfer network with all patient movements among all the wards, by creating a time-sliced temporal network for each month. We described the network and assessed its robustness against ARB spread by simulating outbreaks among wards.</p><p><strong>Findings: </strong>Over the years studied, we found that in April 2020, when many elective surgeries were cancelled due to the SARS-CoV-2 pandemic, the robustness of the network strongly increased in comparison to all other months. Despite the network being relatively stable over the study period, it was affected by an internal change of hospital structure due to a hospital merging event.</p><p><strong>Conclusion: </strong>The intra-hospital transfer network was affected by external influences due to the pandemic, slowing down the potential spread of the nosocomial pathogens. The network was generally stable and quickly recovered, although an internal force affected the structure of the network. A better understanding of the influence of patient transfers will help to design intervention strategies against the spread of antimicrobial resistance within hospitals.</p>\",\"PeriodicalId\":54806,\"journal\":{\"name\":\"Journal of Hospital Infection\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hospital Infection\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jhin.2025.04.032\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hospital Infection","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jhin.2025.04.032","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Impact of the SARS-CoV-2 pandemic on the hospital robustness to antibiotic-resistant bacteria spread in a large German university hospital.
Background: Patient transfers between hospital departments and wards frequently occur, and bring with them the risk of inter-department transmission of antibiotic-resistant bacteria (ARB). These bacteria form a risk to the patients already susceptible to colonisation and infection.
Aim: Goal of this study is to assess the impact of the SARS-CoV-2 pandemic on the intra-hospital network of a large German university hospital.
Methods: Using data collected from the hospital between 2019 and 2023 we developed a model to represent an intra-hospital transfer network with all patient movements among all the wards, by creating a time-sliced temporal network for each month. We described the network and assessed its robustness against ARB spread by simulating outbreaks among wards.
Findings: Over the years studied, we found that in April 2020, when many elective surgeries were cancelled due to the SARS-CoV-2 pandemic, the robustness of the network strongly increased in comparison to all other months. Despite the network being relatively stable over the study period, it was affected by an internal change of hospital structure due to a hospital merging event.
Conclusion: The intra-hospital transfer network was affected by external influences due to the pandemic, slowing down the potential spread of the nosocomial pathogens. The network was generally stable and quickly recovered, although an internal force affected the structure of the network. A better understanding of the influence of patient transfers will help to design intervention strategies against the spread of antimicrobial resistance within hospitals.
期刊介绍:
The Journal of Hospital Infection is the editorially independent scientific publication of the Healthcare Infection Society. The aim of the Journal is to publish high quality research and information relating to infection prevention and control that is relevant to an international audience.
The Journal welcomes submissions that relate to all aspects of infection prevention and control in healthcare settings. This includes submissions that:
provide new insight into the epidemiology, surveillance, or prevention and control of healthcare-associated infections and antimicrobial resistance in healthcare settings;
provide new insight into cleaning, disinfection and decontamination;
provide new insight into the design of healthcare premises;
describe novel aspects of outbreaks of infection;
throw light on techniques for effective antimicrobial stewardship;
describe novel techniques (laboratory-based or point of care) for the detection of infection or antimicrobial resistance in the healthcare setting, particularly if these can be used to facilitate infection prevention and control;
improve understanding of the motivations of safe healthcare behaviour, or describe techniques for achieving behavioural and cultural change;
improve understanding of the use of IT systems in infection surveillance and prevention and control.