Medical resources and coronavirus disease (COVID-19) mortality rate: Evidence and implications from Hubei province in China

Xie, Lin; Yang, Hualei; Zheng, Xiaodong; Wu, Yuanyang; Lin, Xueyu; Zheng, Shen

doi:10.1371/journal.pone.0244867

Cited by 36 publications

(37 citation statements)

References 10 publications

(10 reference statements)

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“…Thus, DOPSPTT had not differed between cities with different sizes. In Hubei province, in addition to the above several control measures, a large number of doctors and medical supplies were provided to these cities, and a large number of mobile cabin hospital were constructed [19,32,49]. Local hospitals have sufficient medical resources and equipment to treat patients.…”

Section: Relationship Between City Types and The Confirmed Cases And Deaths Of Covid-19mentioning

confidence: 99%

“…The coronavirus disease 2019 (COVID- 19) was first reported in Wuhan, the capital city of Hubei province, China in late December 2019 [1,2]. COVID-19 is ascribed to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus [3].…”

Section: Introductionmentioning

confidence: 99%

“…Affected by "Urban Turbidity Island Effect", higher concentration of air contaminant is also conducive to virus transmission in larger cities [17,18]. Because of big population base, the per capita medical and health resources in larger cities may be lower than that in small cities, leading to the increase of mortality [19]. As a result, large cities may have higher confirmed cases and deaths of COVID-19.…”

Section: Introductionmentioning

confidence: 99%

“…At present, however, most studies on the impacts of socio-economic determinants, climate factors and spatial distance on the confirmed cases and deaths of COVID-19 only investigated a single type of factors [15,16,19,22,29]. For example, Luo et al reported that weather was related to the spread of COVID-19 in China [34].…”

Section: Introductionmentioning

confidence: 99%

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Impacts of socio-economic determinants, spatial distance and climate factors on the confirmed cases and deaths of COVID-19 in China

Yang

et al. 2021

PLoS ONE

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This study is to assess the influences of climate, socio-economic determinants, and spatial distance on the confirmed cases and deaths in the raise phase of COVID-19 in China. The positive confirmed cases and deaths of COVID-19 over the population size of 100,000 over every 5 consecutive days (the CCOPSPTT and DOPSPTT for short, respectively) covered from 25th January to 29th February, 2020 in five city types (i.e., small-, medium-, large-, very large- and super large-sized cities), along with the data of climate, socio-economic determinants, spatial distance of the target city to Wuhan city (DW, for short), and spatial distance between the target city and their local province capital city (DLPC, for short) were collected from the official websites of China. Then the above-mentioned influencing factors on CCOPSPTT and DOPSPTT were analyzed separately in Hubei and other provinces. The results showed that CCOPSPTT and DOPSPTT were significantly different among five city types outside Hubei province (p < 0.05), but not obviously different in Hubei province (p > 0.05). The CCOPSPTT had significant correlation with socio-economic determinants (GDP and population), DW, climate and time after the outbreak of COVID-19 outside Hubei province (p < 0.05), while was only significantly related with GDP in Hubei province (p < 0.05). The DOPSPTT showed significant correlation with socio-economic determinants, DW, time and CCOPSPTT outside Hubei province (p < 0.05), while was significantly correlated with GDP and CCOPSPTT in Hubei province (p < 0.05). Compared with other factors, socio-economic determinants have the largest relative contribution to variance of CCOPSPTT in all studied cities (> 78%). The difference of DOPSPTT among cities was mainly affected by CCOPSPTT. Our results showed that influences of city types on the confirmed cases and death differed between Hubei and other provinces. Socio-economic determinants, especially GDP, have higher impact on the change of COVID-19 transmission compared with other factors.

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Section: Relationship Between City Types and The Confirmed Cases And Deaths Of Covid-19mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Impacts of socio-economic determinants, spatial distance and climate factors on the confirmed cases and deaths of COVID-19 in China

Yang

et al. 2021

PLoS ONE

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“…Various strategies, based on lockdown, quarantine, increase medical and health resources, and international cooperation, to manage this pandemic have been extensively studied by numerous scholars ( 14 – 22 ). However, among all these studies, few have adopted the game theory as the theoretical and methodological underpinning for discussing the international cooperative governance against COVID-19.…”

Section: Introductionmentioning

confidence: 99%

Research on International Cooperative Governance of the COVID-19

Lin

Yang

et al. 2021

Front. Public Health

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Since the first case of the novel coronavirus (SARS-CoV-2) was reported in Wuhan, China, in December 2019, the coronavirus disease (COVID-19) has quickly spread to all the corners of the world. Amid the global public health threats posed by the COVID-19 pandemic, active cooperative governance has gradually emerged as the most powerful weapon against its spread. To facilitate international cooperation for pandemic governance, this paper applied the evolutionary game theory to analyze the factors influencing active cooperative governance and, based on the results, proposed a series of recommendations for promoting international cooperation. (1) leveraging the role of international organizations to reduce the cost of realizing the strategy of active cooperative governance, (2) promoting the international exchange of related experiences to lower the cost of active pandemic governance, (3) sustaining productive and daily activities during the pandemic in a classified and hierarchical manner to reduce the economic loss incurred by active pandemic governance, and (4) optimizing the incentive measures of international organizations to facilitate the selection of active cooperative governance. Finally, from the four aspects of resource management of pandemic treatment, supply management of living materials, population flow cooperation management, and governance fund cooperation management, this paper gives the path of international pandemic cooperative governance.

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Study on the virulence evolution of SARS‐CoV‐2 and the trend of the epidemics of COVID‐19

Wang

Jiang

2022

Math Methods in App Sciences

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This is the first attempt to investigate the effects of the factors related to non‐pharmaceutical interventions (NPIs) and the physical condition of the public on virulence evolution of SARS‐CoV‐2 and the trend of the epidemics of COVID‐19 under an adaptive dynamics framework. Qualitative agreement of the prediction on the epidemics of COVID‐19 with the actual situations convinced the rationality of the present model. The study showed that enhancing both NPIs (including public vigilance, quarantine measures, and hospitalization) and the physical condition of the public (including susceptibility and recovery speed) contributed to decreasing the prevalence of COVID‐19 but only increasing public vigilance and decreasing the susceptibility of the public could also reduce the virulence of SARS‐CoV‐2. Therefore, controlling the contact rate and infection rate was the key to control not only the epidemic scale of COVID‐19 but also the extent of its harm. On the other hand, the best way to control the epidemics was to increase the public vigilance and physical condition because both of them could reduce the prevalence and case fatality rate (CFR) of COVID‐19. In addition, the enhancement of quarantine measures and hospitalization could bring the (slight) increase in the CFR of COVID‐19.

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Medical resources and coronavirus disease (COVID-19) mortality rate: Evidence and implications from Hubei province in China

Cited by 36 publications

References 10 publications

Impacts of socio-economic determinants, spatial distance and climate factors on the confirmed cases and deaths of COVID-19 in China

Impacts of socio-economic determinants, spatial distance and climate factors on the confirmed cases and deaths of COVID-19 in China

Research on International Cooperative Governance of the COVID-19

Study on the virulence evolution of SARS‐CoV‐2 and the trend of the epidemics of COVID‐19

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