Nguyen K Tran,Timothy L Lash,Neal D Goldstein
Nguyen K Tran
As an inherent part of epidemiologic research, practical decisions made during data collection and analysis have the potential to impact the measurement of disease occurrence as well as statistical and causal inference from the results. How...
Vaccine effectiveness and duration of protection against symptomatic infections and severe Covid-19 outcomes in adults aged 50 years and over, France, January to mid-December 2021 [0.03%]
2021年1月至12月中旬50岁及以上成人新冠疫苗对有症状感染和严重疾病效果的评估：来自法国的真实世界数据
Milena Suarez Castillo,Hamid Khaoua,Noémie Courtejoie
Milena Suarez Castillo
Background: SARS-CoV-2 continues to spread despite fast vaccine rollout, which could be attributed to waning immunity or to a reduced protection against some variants. A thorough characterization of vaccine protection and...
Can you lock down in a slum? And who would benefit if you tried? Difficult questions about epidemiology's commitment to global health inequalities during Covid-19 [0.03%]
在贫民窟实施封城可行吗？如果尝试的话谁会受益？新冠疫情期间流行病学界致力于解决全球卫生不平等问题的挑战性问题
Alex Broadbent,Pieter Streicher
Alex Broadbent
The initial response to the Covid-19 pandemic was characterised by swift "lockdowns," a cluster of measures defined by a shared goal of suppressing Covid-19 and a shared character of restricting departure from the home except for specific p...
Evolving mortality and clinical outcomes of hospitalized subjects during successive COVID-19 waves in Catalonia, Spain [0.03%]
西班牙加泰罗尼亚连续新冠疫情期间住院患者的死亡率和临床结局变化趋势
Albert Roso-Llorach,Xavier Serra-Picamal,Francesc X Cos et al.
Albert Roso-Llorach et al.
Background: The changes in shield strategies, treatments, emergence variants, and healthcare pathways might shift the profile and outcome of patients hospitalized with COVID-19 in successive waves of the outbreak. ...
How much Covid? [0.03%]
多少新冠？
Richard Rothenberg
Richard Rothenberg
Trends and risk factors for non-communicable diseases mortality in Nairobi slums (2008-2017) [0.03%]
内罗毕贫民窟(2008-2017年)非传染性疾病死亡率及其危险因素的趋势分析
Gershim Asiki,Damazo Kadengye,Clara Calvert et al.
Gershim Asiki et al.
Introduction: Tracking progress in reaching global targets for reducing premature mortality from non-communicable diseases (NCDs) requires accurately collected population based longitudinal data. However, most African cou...
Estimates of global SARS-CoV-2 infection exposure, infection morbidity, and infection mortality rates in 2020 [0.03%]
2020年全球SARS-CoV-2感染暴露率、发病率和死亡率的估算
Houssein H Ayoub,Ghina R Mumtaz,Shaheen Seedat et al.
Houssein H Ayoub et al.
We aimed to estimate, albeit crudely and provisionally, national, regional, and global proportions of respective populations that have been infected with SARS-CoV-2 in the first year after the introduction of this virus into human circulati...
Corrigendum to "COVID-19 in South Africa" [Global Epidemiology 2 (2020) 100034] [0.03%]
“南非的新冠肺炎”一文的勘误(全球流行病学第2卷(2020年)100034号论文)
Alex Broadbent,Herkulaas Combrink,Benjamin Smart
Alex Broadbent
[This corrects the article DOI: 10.1016/j.gloepi.2020.100034.]. © 2020 The Author(s).
Published Erratum
Global epidemiology. 2021 Nov:3:100057. DOI:10.1016/j.gloepi.2021.100057 2021
Mark N Lurie,David Frank,Brian G Williams
Mark N Lurie
Epidemiological and spatio-temporal characteristics of COVID-19 in Rwanda [0.03%]
2019新型冠状病毒在卢旺达的流行病学及时空特征分析
Theos Dieudonne Benimana,Naae Lee,Seungpil Jung et al.
Theos Dieudonne Benimana et al.
Background: The coronavirus disease 2019 (COVID-19) has taken millions of lives and disrupted living standards at individual, societal, and worldwide levels, causing serious consequences globally. Understanding its epidem...