Comparing the Impact of Road Networks on COVID-19 Severity between Delta and Omicron Variants: A Study Based on Greater Sydney (Australia) Suburbs

Uddin, Shahadat; Lu, Haohui; Khan, Arif; Karim, Shakir; Zhou, Fangyu

doi:10.3390/ijerph19116551

Cited by 7 publications

(4 citation statements)

References 18 publications

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“…The bifurcation occurred with the outbreaks of different variants, including the delta in June and July 2021, which prompted lockdowns in Australia, and omicron variant which led to the large outbreak and is linked to the dynamics of the third stage [27,28].…”

Section: Dynamicsmentioning

confidence: 99%

Low Dimensional Chaotic Attractors in SARS-CoV-2’s Regional Epidemiological Data

Gonçalves

2022

Preprint

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Background: Recent studies applying chaos theory methods have found the existence of chaotic markers in SARS-CoV-2's epidemiological data, evidence that has implications on the prediction, modeling and epidemiological analysis of the SARS-CoV-2/COVID-19 pandemic with implications for healthcare management. Aim and Methods: We study the aggregate data for the new cases per million and the new deaths per million from COVID-19 in Africa, Asia, Europe, North and South America and Oceania, applying chaos theory's empirical methods including embedding dimension estimation, Lyapunov spectra estimation, spectral analysis and state-of-the-art topological data analysis methods combining persistent homology, recurrence analysis and machine learning with the aim of characterizing the nature of the dynamics and its predictability. Results: The results show that for all regions except Oceania there is evidence of low dimensional noisy chaotic attractors that are near the onset of chaos, with a recurrence structure that can be used by adaptive artificial intelligence solutions equipped with nearest neighbors' machine learning modules to predict with a very high performance the future values of the two target series for each region. The persistent homology analysis uncovers a division into two groups, the first group comprised of Africa and Asia and the second of Europe, North and South America. For Oceania, we found evidence of the occurrence of a bifurcation which we characterize in detail applying a combination of machine learning and topological analysis methods, we find that the bifurcation in the region is related to the emergence of new variants.

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Section: Dynamicsmentioning

confidence: 99%

Low Dimensional Chaotic Attractors in SARS-CoV-2’s Regional Epidemiological Data

Gonçalves

2022

Preprint

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“…This difference might be due to the lower number of infections and larger statistical scale used. As in some prior studies [22,37], the proposed urban morphology parameters, including the BCR and RD, could effectively reflect the level of infection risk and thus might guide (1) public health officials to reduce population exposure and social contact in areas with higher BCR and RD and (2) planners in developing appropriate design strategies to improve ventilation and reduce population density in these risky areas for minimizing the infection risks in communities.…”

Section: Discussionmentioning

confidence: 91%

Modelling Impact of High-Rise, High-Density Built Environment on COVID-19 Risks: Empirical Results from a Case Study of Two Chinese Cities

Guo

Yang

et al. 2023

IJERPH

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Characteristics of the urban environment (e.g., building density and road network) can influence the spread and transmission of coronavirus disease 2019 (COVID-19) within cities, especially in high-density high-rise built environments. Therefore, it is necessary to identify the key attributes of high-density high-rise built environments to enhance modelling of the spread of COVID-19. To this end, case studies for testing attributes for modelling development were performed in two densely populated Chinese cities with high-rise, high-density built environments (Hong Kong and Shanghai).The investigated urban environmental features included 2D and 3D urban morphological indices (e.g., sky view factor, floor area ratio, frontal area density, height to width ratio, and building coverage ratio), socioeconomic and demographic attributes (e.g., population), and public service points-of-interest (e.g., bus stations and clinics). The modelling effects of 3D urban morphological features on the infection rate are notable in urban communities. As the spatial scale becomes larger, the modelling effect of 2D built environment factors (e.g., building coverage ratio) on the infection rate becomes more notable. The influence of several key factors (e.g., the building coverage ratio and population density) at different scales can be considered when modelling the infection risk in urban communities. The findings of this study clarify how attributes of built environments can be applied to predict the spread of infectious diseases. This knowledge can be used to develop effective planning strategies to prevent and control epidemics and ensure healthy cities.

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“…The rise in infections caused by the Omicron variant of SARS-CoV-2 from mid-November 2021 onwards [23] saw a dramatic increase in the demand for RATs, which was further accelerated during the pre-Christmas season, which saw many end-of year office parties and other social gatherings. The familial social gatherings for Christmas itself, as well as for New Year added to the demand.…”

Section: "Find a Rat" Websitementioning

confidence: 99%

The Decentralized Generation of Public Knowledge during the COVID-19 Pandemic: Examples from Australia

Spennemann

2023

Knowledge

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In the early days of the COVID-19 pandemic of 2020–2022, public uncertainty about the nature of the virus, and in particular its symptoms and mode of transmission, was met by the daily briefings issued by public health departments and political leaders. They were ill-equipped to respond to emerging knowledge management demands in an agile fashion. As this paper will show, this gap was filled on a volunteer basis by personal initiative. Examples for this are contact tracing register applications, an archive of daily COVID-19 incidence numbers at local government levels and a crowdsourced site that allowed the public find rapid antigen test kits during a time of extreme shortages. Once government and professional bodies eventually caught up and supplanted these volunteer endeavours, they become obsolete and by and large forgotten. Yet it can be posited that societal angst would have been much greater without them.

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Comparing the Impact of Road Networks on COVID-19 Severity between Delta and Omicron Variants: A Study Based on Greater Sydney (Australia) Suburbs

Cited by 7 publications

References 18 publications

Low Dimensional Chaotic Attractors in SARS-CoV-2’s Regional Epidemiological Data

Low Dimensional Chaotic Attractors in SARS-CoV-2’s Regional Epidemiological Data

Modelling Impact of High-Rise, High-Density Built Environment on COVID-19 Risks: Empirical Results from a Case Study of Two Chinese Cities

The Decentralized Generation of Public Knowledge during the COVID-19 Pandemic: Examples from Australia

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