Population density impact on COVID-19 mortality rate: A multifractal analysis using French data

Pascoal, Rui; Rocha, Humberto

doi:10.1016/j.physa.2022.126979

Cited by 17 publications

(13 citation statements)

References 27 publications

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“…A distinctive feature of economic centers is high population density, which, according to conclusions of many studies, is positively associated with the spread of infection. Such results were obtained, in particular, in Brazil (Nakada and Urban 2021), France (Pascoal and Rocha 2022), Iran (Ahmadi et al 2020), and Turkey (Şahin 2020). However, a study conducted in the U.S. at the regional level shows that population density is not associated with the number of deaths due to the pandemic.…”

Section: What Is Behind the Covid-19 Spread: Overview Of Studiesmentioning

confidence: 76%

Spread of COVID-19 in the Russian regions in 2020: factors of excess mortality

Kolosnitsyna

Chubarov

2022

POPECON

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The paper identifies major factors associated with the pandemic spread in the Russian regions, using econometric models and nonlinear «Random Forest» models to assess their significance. The study is based on data of the Russian regions for March-December 2020, a balanced panel sample included 780 observations. Prevalence of the pandemic was estimated based on the excess mortality rate. The study has identified a positive relationship between excess mortality and the share of migrants and a negative relationship between excess mortality and the share of pensioners in the region. Importance of climatic factors has been confirmed: high temperatures, other things being equal, reduce excess mortality, while high humidity, on the contrary, increases it. Excess mortality is higher in the regions with lower population mobility. Mortality is higher in the regions with high per capita incomes and regions with significant unemployment. Vice versa, excess mortality is lower in the regions with better doctor and nurse staffing levels. The study results show that in case of repeated waves of the epidemic or emergence of new viruses, public health policy should be geographically differentiated. Priority should be given to epidemiological situation in the regions with humid climate and low temperatures, high incomes, intensive migration, and high unemployment rates. Significant investments in medical education, higher number of medical specialists and their more even distribution across regions are required. This approach turns out to be more effective in terms of reducing mortality rather than restrictions on population mobility.

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Section: What Is Behind the Covid-19 Spread: Overview Of Studiesmentioning

confidence: 76%

Spread of COVID-19 in the Russian regions in 2020: factors of excess mortality

Kolosnitsyna

Chubarov

2022

POPECON

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“…An overall conclusion that can be drawn from this study is that density should be considered in the different epidemiological models as it contains complementary information to population size. However, considering density at a “microscopic” level can be more informative than the “macroscopic” density considered in most of the studies (Pascoal & Rocha, 2022 ). However, to our knowledge, our results are one of the first to show that land-use diversity is an important driver of COVID-19 transmission, even in areas where residents rely more on private modes of transportation.…”

Section: Discussionmentioning

confidence: 99%

Mediation effect of diversity and availability of high transit service on transit oriented development and spread of COVID-19

Khare

Villuri

Kumar

et al. 2022

Environ Dev Sustain

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The impact of the novel coronavirus disease (COVID-19) continues unabated. Still, it seems that apart from contact and respiratory transmission, the design and development pattern of an area does echoes to be a contributing factor in virus spreadability. The present study considers land use and transportation system parameters under TOD mode of 16 BRT station provinces in Bhopal, India, and COVID-19 cases data were collected from April 2020 to August 2020. Further, the Pearson correlation and mediational analysis were employed to determine the relationship between TODness and COVID-19 spread cases. The bootstrapping method was used to evaluate the mediation effect and describe why and under what conditions they are related. The study shows that TODness and COVID-19 spread cases are positively correlated. The results show a considerable correlation at ( p < 0.05) is 0.405 of the dispersed along with TODness of an area in the analysed 16 BRT station areas. In particular, dispersed demonstrated a high-level correlation of 0.681 with TOD areas, whereas a moderate correlation of 0.322 with non-TOD areas was mediated by diversity and the number of available transit service indicators. Diversity and availability of high-quality transit services effectively spread the virus, whereas population density and public transport mediation effects are insignificant. Outcomes from this study may help government authorities and policymakers devise a strategy and adopt preventive measures in subsequent waves of the pandemic. Graphical abstract

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“…In this context, it is a well-established fact that COVID-19 severely impacts older populations that are characterized by comorbid conditions [ 50 ]. Many studies across the globe put forward a significant association between population density and mortality rates [ 47 , 48 , 50 , 52 ]. Likewise, the availability of health infrastructures and the household income levels in regions with high population density are primary factors that contribute to the rise in their corresponding mortality rates.…”

Section: Discussionmentioning

confidence: 99%

Epidemiological Context and Risk Factors Associated with the Evolution of the Coronavirus Disease (COVID-19): A Retrospective Cohort Study

Hadef

Hamad

et al. 2022

Healthcare

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Since its initial appearance in December 2019, COVID-19 has posed a serious challenge to healthcare authorities worldwide. The purpose of the current study was to identify the epidemiological context associated with the respiratory illness propagated by the spread of COVID-19 and outline various risk factors related to its evolution in the province of Debila (Southeastern Algeria). A retrospective analysis was carried out for a cohort of 612 COVID-19 patients admitted to hospitals between March 2020 and February 2022. The results were analyzed using descriptive statistics. Further, logistic regression analysis was employed to perform the odds ratio. In gendered comparison, males were found to have a higher rate of incidence and mortality compared to females. In terms of age, individuals with advanced ages of 60 years or over were typically correlated with higher rates of incidence and mortality in comparison toindividuals below this age. Furthermore, the current research indicated that peri-urban areas were less affected that the urban regions, which had relatively significant incidence and mortality rates. The summer season was marked with the highest incidence and mortality rate in comparison with other seasons. Patients who were hospitalized, were the age of 60 or over, or characterized by comorbidity, were mainly associated with death evolution (odds ratio [OR] = 8.695; p = 0.000), (OR = 6.192; p = 0.000), and (OR = 2.538; p = 0.000), respectively. The study identifies an important relationship between the sanitary status of patients, hospitalization, over-age categories, and the case severity of the COVID-19 patient.

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Population density impact on COVID-19 mortality rate: A multifractal analysis using French data

Cited by 17 publications

References 27 publications

Spread of COVID-19 in the Russian regions in 2020: factors of excess mortality

Spread of COVID-19 in the Russian regions in 2020: factors of excess mortality

Mediation effect of diversity and availability of high transit service on transit oriented development and spread of COVID-19

Epidemiological Context and Risk Factors Associated with the Evolution of the Coronavirus Disease (COVID-19): A Retrospective Cohort Study

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