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2.
European Journal of Public Health ; 31, 2021.
Article in English | ProQuest Central | ID: covidwho-1515069

ABSTRACT

Background The European Network of Medical Residents in Public Health (EuroNet MRPH) is a non-profit, international, independent and non-governmental network of national associations of public health residents around Europe. Objectives To describe the results accomplished by EuroNet MRPH and to show networking opportunities provided to medical residents in public health (MRPH) from 2011 to 2021. Results EuroNet's mission is to improve and facilitate connection between MRPH, to promote pan-European Research, and to facilitate international mobility. Digital and quarterly face-to-face meetings are used as a way of communication. Since 2011, 10 European MRPH associations and 4 individual members have joined the network, representing the UK, France, Spain, Italy, Portugal, Ireland, the Netherlands, Croatia, Slovenia, Turkey, Malta, Poland, Bosnia and Herzegovina, and Austria. In this period, 27 face-to-face meetings have been organised, promoting cooperation and exchanging of ideas between MRPH. Moreover, three working groups (WG) have been established, focusing on research, internships, and communication. Regarding research, studies about e-cigarettes, conflicts of interest, and the impact of COVID-19 on mental health of MRPH have been conducted. When it comes to internships, more than 20 possible destinations and an online form are available on our website, providing MRPH information and support. Finally, thanks to the communication WG, 20 newsletters have been published, sharing experiences and thoughts from members of the network. Moreover, EuroNet has an established presence in social media, with active accounts in Twitter, Instagram and Facebook, where public health information and opportunities for young professionals are promoted. Conclusions In the last ten years, EuroNet MRPH has actively promoted networking opportunities among European Medical Residents in Public Health. Key messages Enhancing international cooperation among young public health professionals is fundamental in order to face current and future public health challenges. EuroNet MRPH represents a useful tool to promote collaboration among young public health professionals.

3.
European Journal of Public Health ; 31, 2021.
Article in English | ProQuest Central | ID: covidwho-1514970

ABSTRACT

Background Admission to the Intensive Care Unit (ICU) is one of the most used indicators to estimate the magnitude of the current COVID-19 pandemic. This study was performed to assess the relationship between demographic, lifestyles and comorbidity factors on the severity of patients with SARS-CoV2 infection. Methods An observational study including data from the regional surveillance dataset on acute respiratory infections from September 2020 to February 2021 in one large tertiary hospital in Murcia, Spain. Demographic, clinical and lifestyle factors were collected. A descriptive analysis was carried out using SPSS. Chi-square tests were performed to assess the relationship between comorbidities and lifestyle factors. Binary logistic regression was calculated to estimate the probability of being admitted to ICU. Analysis were adjusted by sex, age, and lifestyle factors. Results Overall, 906 patients with COVID-19 were identified. The mean age was 64.3 years (SD = 16.5 years), and 523 of the patients were male (57.7%). A total of 104 (11.5%) patients required admission to ICU and 142 (15.7%) died during the hospitalisation process. The average length of stay at the hospital was 8 days (SD = 6). Acute renal failure (OR = 7.7;95% CI: 1.7-33.0), being a smoker (OR = 7.02;95% CI: 2.7-19, 0) and suffering from obesity (OR = 3.5;95% CI: 1.2-10.3) were the main risk factors associated with admission to ICU. Conclusions Acute renal failure, obesity, and smoking were strongly associated with both severity and admission to intensive care among patients with COVID-19 infection. More research needs to be done to assess the role of these underlying factors in the severity of COVID-19 infections. Key messages The design of predictive models for ICU admission during the COVID-19 pandemic should be promoted. Features associated to vulnerability in COVID-19 patients must be identified.

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