Spike in pollution to ignite the bursting of COVID-19 second wave is more dangerous than spike of SAR-CoV-2 under environmental ignorance in long term: a review DOI Creative Commons
Biswaranjan Paital, Kabita Das

Environmental Science and Pollution Research, Journal Year: 2021, Volume and Issue: 29(57), P. 85595 - 85611

Published: Aug. 14, 2021

Specific areas in many countries such as Italy, India, China, Brazil, Germany and the USA have witnessed that air pollution increases risk of COVID-19 severity particulate matters transmit virus SARS-CoV-2 causes high expression ACE2, receptor for spike protein virus, especially under exposure to NO2, SO2 NOx emissions. Wastewater-based epidemiology is also noticed Netherlands, USA, Paris, France, Australia, Spain, Switzerland India Hungary. Soil found be contaminated by RNA SARS-CoV-2. Activities including defecation urination infected people contribute source soil contamination, while release wastewater containing cough, urine stool from hospitals home isolation contributes both water soil. Detection early before outbreak disease supports this fact. Based on information, more dangerous long-term than It because later one may controlled future within months or few years vaccination with specific drugs, but former provides base diseases current any pandemics. Although predictions positive effects environment was already forecasted after first wave COVID-19, learnt lesson spotlight not considered measures which 2nd has quickly hit world.

Language: Английский

COVID-19 and the compact city: Implications for well-being and sustainable urban planning DOI Creative Commons
Kostas Mouratidis

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 811, P. 152332 - 152332

Published: Dec. 13, 2021

This paper provides new evidence on the role of city planning, urban form, and built environment characteristics in health well-being during coronavirus disease (COVID-19) pandemic. Based survey geographic information systems (GIS) data from Oslo Viken Norway, investigates changes due to COVID-19 how compact its relate these changes. Findings indicate that self-reported measures worsened COVID-19. The most substantial were reported for life satisfaction, anxiety, satisfaction with leisure, personal relationships, vacations. General health, happiness, income also declined comparison pre-COVID-19 times. Overall, residents neighborhoods lower compared lower-density neighborhoods. Important - higher neighborhood density, reliance public transport, smaller dwellings, less green space negatively associated outcomes In contrast, another attribute, presence numerous local facilities, was positively linked findings, presents possible implications sustainable planning cities.

Language: Английский

Citations

79
Climate change and COVID-19: Interdisciplinary perspectives from two global crises DOI Open Access
Danial Khojasteh,

Ehsan Davani,

Abbas Shamsipour

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 844, P. 157142 - 157142

Published: July 5, 2022

Language: Английский

Citations

56
Interactions between climate and COVID-19 DOI Creative Commons
James D. Ford, Carol Zavaleta-Cortijo,

Triphini Ainembabazi

et al.

The Lancet Planetary Health, Journal Year: 2022, Volume and Issue: 6(10), P. e825 - e833

Published: Oct. 1, 2022

In this Personal View, we explain the ways that climatic risks affect transmission, perception, response, and lived experience of COVID-19. First, temperature, wind, humidity influence transmission COVID-19 in not fully understood, although non-climatic factors appear more important than explaining disease transmission. Second, extremes coinciding with have affected exposure, increased susceptibility people to COVID-19, compromised emergency responses, reduced health system resilience multiple stresses. Third, long-term climate change prepandemic vulnerabilities risk for some populations (eg, marginalised communities). The interact vary considerably between within regions, are by dynamic complex interactions underlying socioeconomic, political, demographic, cultural conditions. These conditions can lead vulnerability, resilience, transformation, or collapse systems, communities, livelihoods throughout varying timescales. It is response recovery measures consider risks, particularly locations susceptible extremes, through integrated planning includes public health, disaster preparedness, management, sustainable development, humanitarian response.

Language: Английский

Citations

53
The effects of socioeconomic factors on particulate matter concentration in China's: New evidence from spatial econometric model DOI Open Access
Uzair Aslam Bhatti, Shah Marjan, Abdul Wahid

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 417, P. 137969 - 137969

Published: July 3, 2023

Language: Английский

Citations

39
Impacts of COVID-19 pandemic on environment, society, and food security DOI Open Access
Hafiz Mohkum Hammad,

Hafiz Muhammad Fasihuddin Nauman,

Farhat Abbas

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(44), P. 99261 - 99272

Published: Feb. 11, 2023

Language: Английский

Citations

26
Assessing the impact of digital financial inclusion on PM2.5 concentration: evidence from China DOI
Lu Yang, Lulu Wang, Xiaohang Ren

et al.

Environmental Science and Pollution Research, Journal Year: 2021, Volume and Issue: 29(15), P. 22547 - 22554

Published: Nov. 18, 2021

Language: Английский

Citations

53
Novel Insights in Spatial Epidemiology Utilizing Explainable AI (XAI) and Remote Sensing DOI Creative Commons
Αναστάσιος Τέμενος, Ioannis N. Tzortzis, Maria Kaselimi

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(13), P. 3074 - 3074

Published: June 26, 2022

The COVID-19 pandemic has affected many aspects of human life around the world, due to its tremendous outcomes on public health and socio-economic activities. Policy makers have tried develop efficient responses based technologies advanced control methodologies, limit wide spreading virus in urban areas. However, techniques such as social isolation lockdown are short-term solutions that minimize spread cities do not invert long-term issues derive from climate change, air pollution planning challenges enhance ability. Thus, it seems crucial understand what kind factors assist or prevent virus. Although AI frameworks a very predictive ability data-driven procedures, they often struggle identify strong correlations among multidimensional data provide robust explanations. In this paper, we propose fusion heterogeneous, spatio-temporal dataset combine eight European spanning 1 January 2020 31 December 2021 describe atmospheric, socio-economic, health, mobility environmental all related potential links with COVID-19. Remote sensing key solution monitor availability green spaces between study period. So, evaluate benefits NIR RED bands satellite images calculate NDVI locate percentage vegetation cover each city for week our 2-year study. This novel is evaluated by tree-based machine learning algorithm utilizes ensemble trained make predictions daily cases deaths. Comparisons other justify robustness regression metrics RMSE MAE. Furthermore, explainable SHAP LIME utilized positive negative influence global local level, respect model’s A variation SHAP, namely treeSHAP, fast accurate

Language: Английский

Citations

32
Association between Global Monkeypox Cases and Meteorological Factors DOI Open Access
Md. Aminul Islam, Sarawut Sangkham, Ananda Tiwari

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(23), P. 15638 - 15638

Published: Nov. 24, 2022

The emergence of an outbreak Monkeypox disease (MPXD) is caused by a contagious zoonotic virus (MPXV) that has spread globally. Yet, there no study investigating the effect climatic changes on MPXV transmission. Thus, studies changing epidemiology, evolving nature virus, and ecological niche are highly paramount. Determination role potential meteorological drivers including temperature, precipitation, relative humidity, dew point, wind speed, surface pressure beneficial to understand MPXD outbreak. This examines in cases over time while assessing characteristics could impact these disparities from onset global To conduct this data-based research, several well-accepted statistical techniques Simple Exponential Smoothing (SES), Auto-Regressive Integrated Moving Average (ARIMA), Automatic forecasting time-series model (Prophet), Autoregressive with Explanatory Variables (ARIMAX) were applied delineate correlation factors daily cases. Data affected countries spanning 6 May 2022, 9 November databases data used evaluate developed models. According ARIMAX model, results showed have positive [(51.56, 95% confidence interval (CI): −274.55 377.68), (17.32, CI: −83.71 118.35) (23.42, −9.90 56.75), respectively] In addition, dew/frost speed show significant negative Prophet rising cases, although trend predicts peak values overall increases. underscores importance immediate appropriate preventive measures (timely preparedness proactive control strategies) utmost priority against awareness-raising programs, discovery, formulation effective vaccine candidate(s), prophylaxis therapeutic regimes, management strategies.

Language: Английский

Citations

30
Multi-epitope vaccine design using in silico analysis of glycoprotein and nucleocapsid of NIPAH virus DOI Creative Commons
Anoop Kumar, Gauri Misra, Sreelekshmy Mohandas

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(5), P. e0300507 - e0300507

Published: May 10, 2024

According to the 2018 WHO R&D Blueprint, Nipah virus (NiV) is a priority disease, and development of vaccine against NiV strongly encouraged. criteria used categorize zoonotic diseases, stage III disease that can spread people cause unpredictable outbreaks. Since 2001, has caused annual outbreaks in Bangladesh, while India it occasional estimates, mortality rate for infected individuals ranges from 70 91%. Using immunoinformatic approaches anticipate epitopes MHC-I, MHC-II, B-cells, they were predicted using glycoprotein nucleocapsid protein. The selected develop multi-epitope construct connected with linkers adjuvants order improve immune responses construct. 3D structure engineered was anticipated, optimized, confirmed variety computer simulation techniques so its stability could be assessed. immunological tests, found vaccination elicits targeted response NiV. Docking TLR-3, 7, 8 revealed candidates had high binding affinities low energies. Finally, molecular dynamic analysis confirms new vaccine. Codon optimization silico cloning showed proposed expressed degree Escherichia coli . study will help identifying potential epitope candidate developed lot potential, but still need verified by vitro & vivo studies.

Language: Английский

Citations

7
Escalation effect of fossil-based CO2 emissions improves green energy innovation DOI Creative Commons
Samuel Asumadu Sarkodie, Phebe Asantewaa Owusu

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 785, P. 147257 - 147257

Published: April 22, 2021

The 21st-century development pathway is facing a challenge between climate change mitigation, sustained economic prosperity, and energy security. While extant literature focuses on drivers of anthropogenic emissions, the role policy measures including green innovation, research are limited in scope. Here we develop conceptual tools across IEA member countries with four decades data that demonstrate reducing emissions. Our assessment reveals sectoral fossil-based CO2 contributes directly to GHG emissions by 29.7–40.6% from transport, 24.6–32% industry, 18.6–19.5% buildings, 15–18.4% other sectors, 0.5–1.1% power. We highlight industrialized high-income converge innovation but diverge empirical evidence shows achieving growth possible through amidst its impact.

Language: Английский

Citations

34