Five waves of the COVID-19 pandemic and green–blue spaces in urban and rural areas in Poland

Suligowski, Roman; Ciupa, Tadeusz

doi:10.1016/j.envres.2022.114662

Cited by 16 publications

(12 citation statements)

References 106 publications

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“…Therefore, there is a need to strengthen systems and local capacities to prevent the spread of infectious diseases [ 51 ]. According to Suligowski and Ciupa [ 52 ], several waves of COVID-19 caused by different variants of SARS-CoV-2 have been recorded around the world. During this period, many publications have been published describing the influence of various factors such as environmental, social, and economic factors on the spread of COVID-19.…”

Section: Discussionmentioning

confidence: 99%

Spatial Autocorrelation of COVID-19 in Slovakia

Vilinová

Petrikovičová

2023

TropicalMed

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The pandemic situation of COVID-19, which affected almost the entire civilized world with its consequences, offered a unique opportunity for analysis of geographical space. In a relatively short period of time, the COVID-19 pandemic became a truly global event with consequences affecting all areas of life. Circumstances with COVID-19, which affected the territory of Slovakia and its regions, represent a sufficient premise for analysis three years after the registration of the first case in Slovakia. The study presents the results of a detailed spatiotemporal analysis of the course of registered cases of COVID-19 in six periods in Slovakia. The aim of the paper was to analyze the development of the number of people infected with the disease COVID-19 in Slovakia. At the level of the districts of Slovakia, using spatial autocorrelation, we identified spatial differences in the disease of COVID-19. Moran’s global autocorrelation index and Moran’s local index were used in the synthesis of knowledge. Spatial analysis of data on the number of infected in the form of spatial autocorrelation analysis was used as a practical sustainable approach to localizing statistically significant areas with high and low positivity. This manifested itself in the monitored area mainly in the form of positive spatial autocorrelation. The selection of data and methods used in this study together with the achieved and presented results can serve as a suitable tool to support decisions in further measures for the future.

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Section: Discussionmentioning

confidence: 99%

Spatial Autocorrelation of COVID-19 in Slovakia

Vilinová

Petrikovičová

2023

TropicalMed

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“…Tokyo is located in a polluted background with various significant PM2.5, PM10, O3, and NO2 sources surrounding it within about a 100 km radius ( Damiani et al, 2022 ). While urbanization has accelerated the conversion of vegetated land covers to built-up areas, the effects of green vegetation as biofilters for particulate matter have been reduced ( Lee et al, 2022 ), urban green and blue spaces being inversely associated with pandemic COVID-19 incidence and mortality ( Peng et al, 2022 ; Ciupa, 2023 ; Falco et al, 2023 ). Also, as a consequence, the urban land surface temperature increased ( Zaitunah et al, 2022 ) in annual mean at the rate of 3.0 °C/century during the 1901–2015 period ( Matsumoto et al, 2017 ).…”

Section: Methodsmentioning

confidence: 99%

Peculiar weather patterns effects on air pollution and COVID-19 spread in Tokyo metropolis

Zoran

Savastr

Săvăstru

et al. 2023

Environmental Research

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“…The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has significantly impacted public health worldwide. Infection rates, morbidity, and mortality have varied across geographic regions and time periods, characterized by successive waves of infections driven by emerging variants [ 1 – 6 ]. Data indicate a general decrease in mortality and disease severity with each wave, except for the Delta variant-dominant wave, which had higher mortality rates [ 1 , 3 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Managing and treating COVID-19 in patients with hematological malignancies: a narrative review and expert insights

Ng,

Alata,

Nguyen

et al. 2024

Clin Exp Med

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Patients with hematologic malignancies (HMs) are at a significantly higher risk of contracting COVID-19 and experiencing severe outcomes compared to individuals without HMs. This heightened risk is influenced by various factors, including the underlying malignancy, immunosuppressive treatments, and patient-related factors. Notably, immunosuppressive regimens commonly used for HM treatment can lead to the depletion of B cells and T cells, which is associated with increased COVID-19-related complications and mortality in these patients. As the pandemic transitions into an endemic state, it remains crucial to acknowledge and address the ongoing risk for individuals with HMs. In this review, we aim to summarize the current evidence to enhance our understanding of the impact of HMs on COVID-19 risks and outcomes, identify particularly vulnerable individuals, and emphasize the need for specialized clinical attention and management. Furthermore, the impaired immune response to COVID-19 vaccination observed in these patients underscores the importance of implementing additional mitigation strategies. This may include targeted prophylaxis and treatment with antivirals and monoclonal antibodies as indicated. To provide practical guidance and considerations, we present two illustrative cases to highlight the real-life challenges faced by physicians caring for patients with HMs, emphasizing the need for individualized management based on disease severity, type, and the unique circumstances of each patient.

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Five waves of the COVID-19 pandemic and green–blue spaces in urban and rural areas in Poland

Cited by 16 publications

References 106 publications

Spatial Autocorrelation of COVID-19 in Slovakia

Spatial Autocorrelation of COVID-19 in Slovakia

Peculiar weather patterns effects on air pollution and COVID-19 spread in Tokyo metropolis

Managing and treating COVID-19 in patients with hematological malignancies: a narrative review and expert insights

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