Calling for benefit–risk evaluations of COVID-19 control measures

Kampf, Günter; Kulldorff, Martin

doi:10.1016/s0140-6736(21)00193-8

Cited by 23 publications

(22 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The collateral damage of the lockdown on individuals with NCD has been extensively substantiated in the literature, highlighting the expected effects of delayed diagnoses and treatments as well as the detrimental effects of physical distancing on caring for family members, and the risk of individuals' developing mood disturbances [30]. Additionally, the lockdown also triggered changes in lifestyle, and although the long-lasting effects of these changes have not been verified, the negative impact of the worsening of lifestyle habits-physical activity in particular-is very likely.…”

Section: Discussionmentioning

confidence: 99%

Beyond Lockdown: The Potential Side Effects of the SARS-CoV-2 Pandemic on Public Health

et al. 2021

View full text Add to dashboard Cite

Lockdowns to contain the spread of the SARS-CoV-2 have disrupted routines and behaviors, which could lead to a worsening of lifestyle and an increase in the burden of non-communicable diseases. This study aimed to describe the changes in physical activity, diet, alcohol drinking, and cigarette smoking during lockdown. A self-administered online survey addressing adults living in a province in northern Italy was advertised through websites and social media. Citizens could access the survey in anonymity from 4 May until 15 June 2020. A total of 1826 adults completed the survey, with a worsening of physical activity (35.1%), diet (17.6%), alcohol drinking (12.5%), and cigarette smoking (7.7%) reported. In contrast, 33.5% reported an improvement in diet, 12.6% in alcohol drinking, 5.3% in physical activity and 4.1% in cigarette smoking. Female sex, young adult age, suspension of work activity, and symptoms of psychological distress were the factors associated with a greater likelihood of change, which was frequently for the worse. Lockdown had an impact on lifestyle, with some net beneficial effects on diet and mostly negative effects on physical activity. Public health measures should be implemented to avoid long-term negative effects of the lockdown, supporting individuals more prone to change for the worse.

show abstract

Section: Discussionmentioning

confidence: 99%

Beyond Lockdown: The Potential Side Effects of the SARS-CoV-2 Pandemic on Public Health

et al. 2021

View full text Add to dashboard Cite

show abstract

“…After the outbreak of SARS-CoV-2 in December 2019 in China, a rapid spread occurred leading to a global pandemic of coronavirus disease 2019 (COVID-19) ( Singh et al, 2021 ; Wu and McGoogan, 2020 ). Decisions on measures against SARS-CoV-2 infections are challenging and require scientific knowledge on their efficacy and their potential benefits and harms ( Ioannidis, 2020a ; Kampf and Kulldorff, 2021 ; Pilz, 2021 ). Vaccination against SARS-CoV-2 proved to be highly efficacious in short-term randomized controlled trials (RCTs) and effective in real-life settings ( Khandker et al, 2021 ; McIntyre et al, 2022 ; Polack et al, 2020 ; Sharif et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

SARS-CoV-2 reinfections: Overview of efficacy and duration of natural and hybrid immunity

Pilz

Theiler‐Schwetz

Trummer

et al. 2022

Environmental Research

215

191

View full text Add to dashboard Cite

Seroprevalence surveys suggest that more than a third and possibly more than half of the global population has been infected with SARS-CoV-2 by early 2022. As large numbers of people continue to be infected, the efficacy and duration of natural immunity in terms of protection against SARS-CoV-2 reinfections and severe disease is of crucial significance for the future. This narrative review provides an overview on epidemiological studies addressing this issue. National surveys covering 2020–2021 documented that a previous SARS-CoV-2 infection is associated with a significantly reduced risk of reinfections with efficacy lasting for at least one year and only relatively moderate waning immunity. Importantly, natural immunity showed roughly similar effect sizes regarding protection against reinfection across different SARS-CoV-2 variants, with the exception of the Omicron variant for which data are just emerging before final conclusions can be drawn. Risk of hospitalizations and deaths was also reduced in SARS-CoV-2 reinfections versus primary infections. Observational studies indicate that natural immunity may offer equal or greater protection against SARS-CoV-2 infections compared to individuals receiving two doses of an mRNA vaccine, but data are not fully consistent. The combination of a previous SARS-CoV-2 infection and a respective vaccination, termed hybrid immunity, seems to confer the greatest protection against SARS-CoV-2 infections, but several knowledge gaps remain regarding this issue. Natural immunity should be considered for public health policy regarding SARS-CoV-2.

show abstract

“…It was first identified in late 2019 in Wuhan, China, and later declared as a pandemic by the World Health Organization (WHO), with its full impact yet to be understood, from preparedness and testing, to diagnosis and vaccination. 1 – 6 Currently, reverse transcription polymerase chain reaction (RT-PCR) is the reference standard for COVID-19 patient diagnosis. In addition to molecular testing, medical imaging modalities, including chest x-ray (CXR), 7 , 8 chest CT, 9 – 11 and chest ultrasound, 12 – 15 have been used in the diagnosis and management of COVID-19 patients.…”

Section: Introductionmentioning

confidence: 99%

Lessons learned in transitioning to AI in the medical imaging of COVID-19

Naqa

Fuhrman

et al. 2021

J. Med. Imag.

View full text Add to dashboard Cite

. The coronavirus disease 2019 (COVID-19) pandemic has wreaked havoc across the world. It also created a need for the urgent development of efficacious predictive diagnostics, specifically, artificial intelligence (AI) methods applied to medical imaging. This has led to the convergence of experts from multiple disciplines to solve this global pandemic including clinicians, medical physicists, imaging scientists, computer scientists, and informatics experts to bring to bear the best of these fields for solving the challenges of the COVID-19 pandemic. However, such a convergence over a very brief period of time has had unintended consequences and created its own challenges. As part of Medical Imaging Data and Resource Center initiative, we discuss the lessons learned from career transitions across the three involved disciplines (radiology, medical imaging physics, and computer science) and draw recommendations based on these experiences by analyzing the challenges associated with each of the three associated transition types: (1) AI of non-imaging data to AI of medical imaging data, (2) medical imaging clinician to AI of medical imaging, and (3) AI of medical imaging to AI of COVID-19 imaging. The lessons learned from these career transitions and the diffusion of knowledge among them could be accomplished more effectively by recognizing their associated intricacies. These lessons learned in the transitioning to AI in the medical imaging of COVID-19 can inform and enhance future AI applications, making the whole of the transitions more than the sum of each discipline, for confronting an emergency like the COVID-19 pandemic or solving emerging problems in biomedicine.

show abstract

Calling for benefit–risk evaluations of COVID-19 control measures

Cited by 23 publications

References 7 publications

Beyond Lockdown: The Potential Side Effects of the SARS-CoV-2 Pandemic on Public Health

Beyond Lockdown: The Potential Side Effects of the SARS-CoV-2 Pandemic on Public Health

SARS-CoV-2 reinfections: Overview of efficacy and duration of natural and hybrid immunity

Lessons learned in transitioning to AI in the medical imaging of COVID-19

Contact Info

Product

Resources

About