PM2.5 prediction based on feature extraction with LASSO and multilayer perceptron DOI
Hui Wang, Peng Wang, Yiyi Zhang

et al.

Published: May 13, 2022

The realization of high-precision the concentration PM2.5 is great significance for guiding people's traffic travel, taking targeted intervention measures, and establishing an early warning forecasting system. However, due to various factors, it difficult achieve prediction. In order improve prediction accuracy PM2.5, this paper proposes a deep learning model based on Lasso dual feature extraction Multilayer Perceptron (MLP). Firstly, basis data analysis processing, number leading steps selected by LASSO, hyperparameter optimized Akaike Information Criterion (AIC) Bayesian (BIC) (hereinafter referred as "LASSO-LarsIC"); Secondly, selection steps, LASSO-LarsIC used extract features different influencing factors in 76.92% at same step are eliminated, which reduces dimension input variables improves generalization ability greatly; Finally, extracted optimal set variable, MLP applied predict with 1 hour advance. verification results show that deviation 4.85μg/m3, improved more than 30% before after extraction, effect obvious.

Language: Английский

Positive association between outdoor air pollution and the incidence and severity of COVID-19. A review of the recent scientific evidences DOI Creative Commons
Montse Marquès, José L. Domingo

Environmental Research, Journal Year: 2021, Volume and Issue: 203, P. 111930 - 111930

Published: Aug. 21, 2021

In June 2020, we published a review focused on assessing the influence of various air pollutants transmission SARS-CoV-2, and severity COVID-19 in patients infected by coronavirus. The results most those reviewed studies suggested that chronic exposure to certain might lead more severe lethal forms COVID-19, as well delays/complications recovery patients. Since then, notable number this topic have been published, including also reviews. Given importance issue, updated information since our previous review. Taking together investigations now reviewed, concluded there is significant association between outdoor pollutants: PM

Language: Английский

Citations

130
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review DOI Creative Commons
Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul

et al.

Diagnostics, Journal Year: 2022, Volume and Issue: 12(3), P. 722 - 722

Published: March 16, 2022

Cardiovascular disease (CVD) causes the highest mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment is vital. Conventional methods have shown poor performance compared to more recent and fast-evolving Artificial Intelligence (AI) methods. The proposed study reviews three most paradigms for assessment, namely multiclass, multi-label, ensemble-based in (i) office-based (ii) stress-test laboratories.

Language: Английский

Citations

43
COVID-19 mortality and exposure to airborne PM2.5: A lag time correlation DOI Open Access
Longyi Shao, Yaxin Cao, Timothy Peter Jones

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 806, P. 151286 - 151286

Published: Oct. 29, 2021

Language: Английский

Citations

35
Bayesian Inference of State-Level COVID-19 Basic Reproduction Numbers across the United States DOI Creative Commons
Abhishek Mallela, Jacob Neumann, Ely F. Miller

et al.

Viruses, Journal Year: 2022, Volume and Issue: 14(1), P. 157 - 157

Published: Jan. 15, 2022

Although many persons in the United States have acquired immunity to COVID-19, either through vaccination or infection with SARS-CoV-2, COVID-19 will pose an ongoing threat non-immune so long as disease transmission continues. We can estimate when sustained end a population by calculating population-specific basic reproduction number ℛ0, expected of secondary cases generated infected person absence any interventions. The value ℛ0 relates herd threshold (HIT), which is given 1−1/ℛ0. When immune fraction exceeds this threshold, becomes exponentially unlikely (barring mutations allowing SARS-CoV-2 escape immunity). Here, we report state-level estimates obtained using Bayesian inference. Maximum posteriori range from 7.1 for New Jersey 2.3 Wyoming, indicating that varies considerably across states and reaching be more difficult some than others. were compartmental models via next-generation matrix approach after each model was parameterized regional daily confirmed case reports 21 January 2020 June 2020. Our characterize infectiousness ancestral strains, but they used determine HITs distinct, currently dominant circulating strain, such variant Delta (lineage B.1.617.2), if relative strain ascertained. On basis Delta-adjusted HITs, data, seroprevalence survey found no state had achieved 20 September 2021.

Language: Английский

Citations

19
Assessing temporal correlation in environmental risk factors to design efficient area-specific COVID-19 regulations: Delhi based case study DOI Creative Commons
Vishal Chaudhary, Pradeep Bhadola, Ajeet Kaushik

et al.

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: July 28, 2022

Amid ongoing devastation due to Serve-Acute-Respiratory-Coronavirus2 (SARS-CoV-2), the global spatial and temporal variation in pandemic spread has strongly anticipated requirement of designing area-specific preventive strategies based on geographic meteorological state-of-affairs. Epidemiological regression models have projected particulate matter (PM) as leading environmental-risk factor for COVID-19 outbreak. Understanding role secondary environmental-factors like ammonia (NH

Language: Английский

Citations

18
Effect of ambient air pollution and meteorological factors on the potential transmission of COVID-19 in Turkey DOI
Nur H. Orak

Environmental Research, Journal Year: 2022, Volume and Issue: 212, P. 113646 - 113646

Published: June 7, 2022

Language: Английский

Citations

13
Community-Engaged Use of Low-Cost Sensors to Assess the Spatial Distribution of PM2.5 Concentrations across Disadvantaged Communities: Results from a Pilot Study in Santa Ana, CA DOI Creative Commons
Shahir Masri,

Kathryn Cox,

Leonel Flores

et al.

Atmosphere, Journal Year: 2022, Volume and Issue: 13(2), P. 304 - 304

Published: Feb. 11, 2022

PM2.5 is an air pollutant that widely associated with adverse health effects, and which tends to be disproportionately located near low-income communities of color. We applied a community-engaged research approach assess the distribution concentrations in context community concerns urban features within around city Santa Ana, CA. Approximately 183 h one-minute average measurements, along high-resolution geographic coordinate were collected by volunteer participants using roughly two dozen low-cost AtmoTube Pro pollution sensors paired real-time GPS tracking devices. varied region, time day, month. In general, higher city's industrial corridor, area concern local members. While freeway systems shown correlate some degree elevated pollution, four sampling days demonstrated little no visible association traffic. Concentrations tended socioeconomically disadvantaged compared other areas. This pilot study demonstrates utility for application designs leverage knowledge, enable high-density monitoring, facilitate greater health-related awareness, education, empowerment among communities. The mobile air-monitoring used this study, its characterize ambient quality defined contrast studies, employ fixed-site monitoring and/or focus on personal exposure. findings from underscore existence environmental inequities persist areas today, can help inform policy decisions related equity, future planning, access resources.

Language: Английский

Citations

12
Air quality changes during the COVID-19 pandemic guided by robust virus-spreading data in Italy DOI
Leonardo Aragão, Elisabetta Ronchieri, Giuseppe Ambrosio

et al.

Air Quality Atmosphere & Health, Journal Year: 2024, Volume and Issue: 17(5), P. 1135 - 1153

Published: Jan. 16, 2024

Language: Английский

Citations

2
Patterns and drivers of maternal personal exposure to PM2.5 in informal settlements in Nairobi, Kenya DOI Creative Commons
Michael Johnson, Timothy Abuya, Anneka Wickramanayake

et al.

Environmental Science Atmospheres, Journal Year: 2024, Volume and Issue: 4(5), P. 578 - 591

Published: Jan. 1, 2024

Maternal PM 2.5 exposures in informal settlements Nairobi exceeded WHO air quality targets, with low-quality cooking fuel use identified as the most important non-ambient source.

Language: Английский

Citations

2
Association between meteorological variations and the superspreading potential of SARS-CoV-2 infections DOI Creative Commons
Ka Chun Chong, Shi Zhao, C.T. Hung

et al.

Environment International, Journal Year: 2024, Volume and Issue: 188, P. 108762 - 108762

Published: May 19, 2024

While many investigations examined the association between environmental covariates and COVID-19 incidence, none have their relationship with superspreading, a characteristic describing very few individuals disproportionally infecting large number of people.

Language: Английский

Citations

2