The most influential COVID-19 articles: A systematic review

Ahmad, Suhaib J. S.; Degiannis, Konstantinos; Borucki, Joseph; Pouwels, Sjaak; Rawaf, David Laith; Head, Marion; Li, Chun Hei; Archid, Rami; Ahmed, Ahmed R.; Lala, Anil K.; Raza, Wasif; Mellor, Katie; Wichmann, Dörte; Exadaktylos, Aristomenis K.

doi:10.1016/j.nmni.2023.101094

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…The CoVs belong to the order Nidovirales, the family Coronaviridae, and the subfamily Coronavirinae. Genetically, they are categorized into four critical genera: the Alphacoronavirus, Betacoronavirus, Gammacoronavirus, and Deltacoronavirus 33,34 (Figure 1). Recent advancements in understanding the novel CoV, particularly in relation to its structural aspects and its interactions with various diseases, have unveiled intricate insights that hold significant implications for both medical research and public health strategies.…”

Section: Sars-cov-2: the Deadly Virusmentioning

confidence: 99%

COVID‐19 and cancer: Dichotomy of the menacing dilemma

Ghosh,

Tabassum,

Basu

2023

MedComm – Oncology

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The coronavirus disease 2019 (COVID‐19) pandemic brought about unprecedented challenges to global healthcare systems. Among the most vulnerable populations are cancer patients, who face dilemmas due to their compromised immune systems and the intricate interplay with the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) virus. This comprehensive review delves into the multifaceted relationship between COVID‐19 and cancer. Through an analysis of existing literature and clinical data, this review unravels the structural intricacies of the virus and examines its profound implications for cancer patients, thereby bridging the knowledge gap between virology and oncology. The review commences with an introduction regarding the COVID‐19 pandemic and cancer. It then transitions into a detailed examination of the SARS‐CoV‐2 virus and its variants such as Alpha (PANGO lineage B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), and Omicron (B.1.1.529 lineage). Subsequently, an insightful analysis of the impact of COVID‐19 on major cancer types (viz., Lung, Colon, Brain, and gastrointestinal cancer) is elaborated. Finally, the therapeutic avenues, oncological care, and management are discussed. The nexus between COVID‐19 and cancer adds a layer of complexity to patient care, emphasizing the importance of tailored approaches for those grappling with both conditions. Amid the landscape defined by the evolving viral strains, this review navigates through the multifaceted implications of COVID‐19 on cancer patients and underscores the significance of integrating virology and oncology.

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Section: Sars-cov-2: the Deadly Virusmentioning

confidence: 99%

COVID‐19 and cancer: Dichotomy of the menacing dilemma

Ghosh,

Tabassum,

Basu

2023

MedComm – Oncology

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“…, 16) have been calculated from the counts retrieved from the Robert Koch-Institute (RKI) database [26] and from the respective age-specific sub-population sizes retrieved from [27]. Depending on the context, age a either refers to the age classes (in years) [0, 5), [5,12), [12,18), [18,30), [30,40), . .…”

Section: General Settings and Nomenclaturementioning

confidence: 99%

“…Three years after the outbreak, it is still not clear whether the pandemic entered an endemic phase and how long a crisis-like situation will persist or re-emerge [ 2 , 3 ]. There are still too many unknowns to be able to provide clear prognoses, although the flood of COVID-19-related publications is without example [ 4 , 5 ]. Equally unprecedented is the fact that a high proportion of the literature dealing with the pandemic is meta-scientific and/or meta-bibliographic in nature or belongs to the sociology of behaviour or the sociology of science.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Patterns of the SARS-CoV-2 Epidemic in Germany

Diebner

2023

Entropy

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Results from an explorative study revealing spatio-temporal patterns of the SARS-CoV-2/ COVID-19 epidemic in Germany are presented. We dispense with contestable model assumptions and show the intrinsic spatio-temporal patterns of the epidemic dynamics. The analysis is based on COVID-19 incidence data, which are age-stratified and spatially resolved at the county level, provided by the Federal Government’s Public Health Institute of Germany (RKI) for public use. Although the 400 county-related incidence time series shows enormous heterogeneity, both with respect to temporal features as well as spatial distributions, the counties’ incidence curves organise into well-distinguished clusters that coincide with East and West Germany. The analysis is based on dimensionality reduction, multidimensional scaling, network analysis, and diversity measures. Dynamical changes are captured by means of difference-in-difference methods, which are related to fold changes of the effective reproduction numbers. The age-related dynamical patterns suggest a considerably stronger impact of children, adolescents and seniors on the epidemic activity than previously expected. Besides these concrete interpretations, the work mainly aims at providing an atlas for spatio-temporal patterns of the epidemic, which serves as a basis to be further explored with the expertise of different disciplines, particularly sociology and policy makers. The study should also be understood as a methodological contribution to getting a handle on the unusual complexity of the COVID-19 pandemic.

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“…Three years after the outbreak, it is still not clear whether the pandemic entered an endemic phase and how long a crisislike situation will persist or re-emerge [2,3]. There are still too many unknowns to be able to provide clear prognoses, although the flood of COVID-19-related publications is without example [4,5]. Equally unprecedented is the fact that a high proportion of the literature dealing with the pandemic is meta-scientific and/or meta-bibliographic in nature or belongs to the sociology of behaviour or the sociology of science.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Patterns of the SARS-CoV-2 Epidemic in Germany

Diebner¹

2023

Preprint

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Results from an explorative study revealing spatio-temporal patterns of the SARS-CoV-2/COVID-19 epidemic in Germany are presented. We dispense with contestable model assumptions and show the intrinsic spatio-temporal patterns of the epidemic dynamics. The analysis is based on COVID-19 incidence data, which are age-stratified and spatially resolved at the county level, provided by the Federal Government’s Public Health Institute of Germany (RKI) for public use. Although the 400 county-related incidence time series show enormous heterogeneity both with respect to temporal features as well as spatial distributions, the counties’ incidence curves organise into well distinguished clusters that coincide with East and West Germany. The analysis is based on dimensionality reduction, multidimensional scaling, network analysis, and diversity measures. Dynamical changes are captured by means of difference-in-difference methods which are related to fold changes of the effective reproduction numbers. The age-related dynamical patterns suggest a considerably stronger impact of children, adolescents and seniors on the epidemic activity than previously expected. Besides these concrete interpretations, the work mainly aims at providing an atlas for spatio-temporal patterns of the epidemic which serves as a basis to be further explored with the expertise from different disciplines, particularly sociology and policy makers. The study should also be understood as a methodological contribution to getting a handle on the unusual complexity of the COVID-19 pandemic.

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The most influential COVID-19 articles: A systematic review

Cited by 5 publications

References 15 publications

COVID‐19 and cancer: Dichotomy of the menacing dilemma

COVID‐19 and cancer: Dichotomy of the menacing dilemma

Spatio-Temporal Patterns of the SARS-CoV-2 Epidemic in Germany

Spatio-Temporal Patterns of the SARS-CoV-2 Epidemic in Germany

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