| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2026―Mar―09 |
Multifractal analysis of air pollutant dynamics in the Caribbean during the COVID-19 lockdown |
Thomas Plocoste, Pablo Pavón-Domínguez, Adarsh Sankaran |
| 2 |
[GO] |
2024―Apr―22 |
Inhomogeneous log-Gaussian Cox processes with piecewise constant covariates: a case study in modeling of COVID-19 transmission risk in East Java |
Alwan Fadlurohman, Achmad Choiruddin, Jorge Mateu |
| 3 |
[GO] |
2023―Dec―08 |
Multifractal property change of NOx and O3 variations in port area in responding to COVID-19 lockdown |
Hongmei Zhao, Hongdi He, Cuilin Wu, Xinghang Zhu, Dai Zhou, Zhongren Peng |
| 4 |
[GO] |
2023―Oct―30 |
Quantifying the effects of viral load on multistate COVID-19 infection and the progression of the Alpha and Omicron VOCs: a Bayesian competing Markov exponential regression model |
Yen-Po Yeh, Amy Ming-Fang Yen, Ting-Yu Lin, Chen-Yang Hsu, Sam Li-Sheng Chen, Tony Hsiu-Hsi Chen |
| 5 |
[GO] |
2023―Jun―08 |
An analytical approach to evaluate the impact of age demographics in a pandemic |
Ismail Abdulrashid, Hamdi Friji, Kazim Topuz, Hakim Ghazzai, Dursun Delen, Yehia Massoud |
| 6 |
[GO] |
2023―May―26 |
Spatiotemporal variations, photochemical characteristics, health risk assessment and mid pandemic changes of ambient BTEX in a west Asian metropolis |
Sam Dehhaghi, Hossein Hasankhani, Ahmad Taheri |
| 7 |
[GO] |
2023―May―19 |
An innovative approach for predicting pandemic hotspots in complex wastewater networks using graph theory coupled with fuzzy logic |
Puru Dutt Sharma, Srinivas Rallapalli, Naga Rajiv Lakkaniga |
| 8 |
[GO] |
2023―May―08 |
The long-run analysis of COVID-19 dynamic using random evolution, peak detection and time series |
Vaghawan Prasad Ojha, Shantia Yarahmadian, Richard Hunt Bobo |
| 9 |
[GO] |
2023―May―04 |
The impact of COVID-19 on economy, air pollution and income: evidence from China |
Chenggang Li, Ziling Chen, Xiaodong Wang, Yikang Wan, Zhen Zhao |
| 10 |
[GO] |
2023―Apr―05 |
Changes in NO2 and O3 levels due to the pandemic lockdown in the industrial cities of Tehran and Arak, Iran using Sentinel 5P images, Google Earth Engine (GEE) and statistical analysis |
Ladan Khedri Gharibvand, Ali Akbar Jamali, Fatemeh Amiri |
| 11 |
[GO] |
2023―Feb―11 |
COVID-19 transmission risk in Surabaya and Sidoarjo: an inhomogeneous marked Poisson point process approach |
Achmad Choiruddin, Firdaus Fabrice Hannanu, Jorge Mateu, Vanda Fitriyanah |
| 12 |
[GO] |
2023―Jan―20 |
A decision-making framework for COVID-19 infodemic management strategies evaluation in spherical fuzzy environment |
Saeid Jafarzadeh Ghoushchi, Shabnam Rahnamay Bonab, Ali Memarpour Ghiaci |
| 13 |
[GO] |
2022―Dec―07 |
To what extent the traffic restriction policies can improve its air quality? An inspiration from COVID-19 |
Si-qing Xu, Hong-di He, Ming-ke Yang, Cui-lin Wu, Xing-hang Zhu, Zhong-ren Peng, et al. (+3) Yuya Sasaki, Kenji Doi, Shinji Shimojo |
| 14 |
[GO] |
2022―Nov―18 |
Assessment of air quality before and during the COVID-19 and its potential health impacts in an arid oasis city: Urumqi, China |
Yaxin Sun, Tayierjiang Aishan, Ümüt Halik, Florian Betz, Remila Rezhake |
| 15 |
[GO] |
2022―Oct―05 |
Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries |
Iqra Sardar, Muhammad Azeem Akbar, Víctor Leiva, Ahmed Alsanad, Pradeep Mishra |
| 16 |
[GO] |
2022―Sep―11 |
A new approach to modeling pre-symptomatic incidence and transmission time of imported COVID-19 cases evolving with SARS-CoV-2 variants |
Sam Li-Sheng Chen, Grace Hsiao-Hsuan Jen, Chen-Yang Hsu, Amy Ming-Fang Yen, Chao-Chih Lai, Yen-Po Yeh, Tony Hsiu-Hsi Chen |
| 17 |
[GO] |
2022―Sep―06 |
A multi-type branching process model for epidemics with application to COVID-19 |
Arnab Kumar Laha, Sourav Majumdar |
| 18 |
[GO] |
2022―Jul―16 |
Asymmetric impact of pandemics-related uncertainty on CO2 emissions: evidence from top-10 polluted countries |
Lei Chang, Kaiming Chen, Hayot Berk Saydaliev, Muhammad Zahir Faridi |
| 19 |
[GO] |
2022―Jun―23 |
Autoregressive count data modeling on mobility patterns to predict cases of COVID-19 infection |
Jing Zhao, Mengjie Han, Zhenwu Wang, Benting Wan |
| 20 |
[GO] |
2022―May―07 |
Modeling the contribution of Nitrogen Dioxide, Vertical pressure velocity and PM2.5 to COVID-19 fatalities |
Alaba Boluwade, Amna M., Al Ruheili |
| 21 |
[GO] |
2022―Apr―23 |
Atmospheric pollutants response to the emission reduction and meteorology during the COVID-19 lockdown in the north of Africa (Morocco) |
Salah Eddine Sbai, Farida Bentayeb, Hao Yin |
| 22 |
[GO] |
2022―Apr―02 |
Air pollution in five Indian megacities during the Christmas and New Year celebration amidst COVID-19 pandemic |
Roshini Praveen Kumar, Cyril Samuel, Shanmathi Rekha Raju, Sneha Gautam |
| 23 |
[GO] |
2022―Mar―09 |
Addressing the relevance of COVID-19 pandemic in nature and human socio-economic fate |
Jyoti Thapliyal, Malini Bhattacharyya, Soban Prakash, Babita Patni, Sneha Gautam, Alok Sagar Gautam |
| 24 |
[GO] |
2022―Jan―25 |
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases |
Poshan Niraula, Jorge Mateu, Somnath Chaudhuri |
| 25 |
[GO] |
2022―Jan―25 |
The influence of meteorological variables and lockdowns on COVID-19 cases in urban agglomerations of Indian cities |
Asha B. Chelani, Sneha Gautam |
| 26 |
[GO] |
2022―Jan―20 |
Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach |
A. Adin, P. Congdon, G. Santafé, M. D. Ugarte |
| 27 |
[GO] |
2022―Jan―11 |
Factors affecting the COVID-19 risk in the US counties: an innovative approach by combining unsupervised and supervised learning |
Samira Ziyadidegan, Moein Razavi, Homa Pesarakli, Amir Hossein Javid, Madhav Erraguntla |
| 28 |
[GO] |
2022―Jan―11 |
A stochastic Bayesian bootstrapping model for COVID-19 data |
Julia Calatayud, Marc Jornet, Jorge Mateu |
| 29 |
[GO] |
2022―Jan―05 |
On the association between COVID-19 vaccination levels and incidence and lethality rates at a regional scale in Spain |
Álvaro Briz-Redón, Ángel Serrano-Aroca |
| 30 |
[GO] |
2021―Nov―26 |
Mathematical modeling and estimation for next wave of COVID-19 in Poland |
M. K. Arti, Antoni Wilinski |
| 31 |
[GO] |
2021―Sep―30 |
Investigation of robustness of hybrid artificial neural network with artificial bee colony and firefly algorithm in predicting COVID-19 new cases: case study of Iran |
Mohammad Javad Shaibani, Sara Emamgholipour, Samira Sadate Moazeni |
| 32 |
[GO] |
2021―Aug―28 |
Underdetection in a stochastic SIR model for the analysis of the COVID-19 Italian epidemic |
Antonella Bodini, Sara Pasquali, Antonio Pievatolo, Fabrizio Ruggeri |
| 33 |
[GO] |
2021―Aug―24 |
Functional ANOVA approaches for detecting changes in air pollution during the COVID-19 pandemic |
Christian Acal, Ana M. Aguilera, Annalina Sarra, Adelia Evangelista, Tonio Di Battista, Sergio Palermi |
| 34 |
[GO] |
2021―Aug―18 |
A comparison of multiple neighborhood matrix specifications for spatio-temporal model fitting: a case study on COVID-19 data |
Álvaro Briz-Redón, Adina Iftimi, Juan Francisco Correcher, Jose De Andrés, Manuel Lozano, Carolina Romero-García |
| 35 |
[GO] |
2021―May―29 |
Variation and correlation between ultraviolet index and tropospheric ozone during COVID-19 lockdown over megacities of India |
Biswajit Bera, Sumana Bhattacharjee, Pravat Kumar Shit, Nairita Sengupta, Soumik Saha |
| 36 |
[GO] |
2021―Apr―19 |
COVID-19 mortality analysis from soft-data multivariate curve regression and machine learning |
Antoni Torres-Signes, María P. Frías, María D. Ruiz-Medina |
| 37 |
[GO] |
2021―Apr―08 |
Have any effect of COVID-19 lockdown on environmental sustainability? A study from most polluted metropolitan area of India |
Indrajit Chowdhuri, Subodh Chandra Pal, Alireza Arabameri, Phuong Thao Thi Ngo, Paramita Roy, Asish Saha, et al. (+2) Manoranjan Ghosh, Rabin Chakrabortty |
| 38 |
[GO] |
2021―Mar―23 |
A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany |
Abdollah Jalilian, Jorge Mateu |
| 39 |
[GO] |
2021―Jan―26 |
The Bayesian Susceptible-Exposed-Infected-Recovered model for the outbreak of COVID-19 on the Diamond Princess Cruise Ship |
Chao-Chih Lai, Chen-Yang Hsu, Hsiao-Hsuan Jen, Amy Ming-Fang Yen, Chang-Chuan Chan, Hsiu-Hsi Chen |
| 40 |
[GO] |
2021―Jan―03 |
The impact of modelling choices on modelling outcomes: a spatio-temporal study of the association between COVID-19 spread and environmental conditions in Catalonia (Spain) |
Álvaro Briz-Redón |
| 41 |
[GO] |
2020―Nov―13 |
Risk assessment of the step-by-step return-to-work policy in Beijing following the COVID-19 epidemic peak |
Wen-bin Zhang, Yong Ge, Mengxiao Liu, Peter M. Atkinson, Jinfeng Wang, Xining Zhang, Zhaoxing Tian |
| 42 |
[GO] |
2020―Oct―16 |
Examining the impact of lockdown (due to COVID-19) on ambient aerosols (PM2.5): A study on Indo-Gangetic Plain (IGP) Cities, India |
Manob Das, Arijit Das, Raju Sarkar, Sunil Saha, Ashis Mandal |
| 43 |
[GO] |
2020―Jul―27 |
Correction to: A machine learning forecasting model for COVID-19 pandemic in India |
R. Sujatha, Jyotir Moy Chatterjee, Aboul Ella Hassanien |
| 44 |
[GO] |
2020―Jul―09 |
COVID-19 and water |
Bellie Sivakumar |
| 45 |
[GO] |
2020―Jul―04 |
Meteorological impacts on the incidence of COVID-19 in the U.S. |
Lung-Chang Chien, Lung-Wen Chen |
| 46 |
[GO] |
2020―Jun―02 |
Undersampling in action and at scale: application to the COVID-19 pandemic |
Andreas Langousis, Alin Andrei Carsteanu |
| 47 |
[GO] |
2020―May―30 |
A machine learning forecasting model for COVID-19 pandemic in India |
R. Sujath, Jyotir Moy Chatterjee, Aboul Ella Hassanien |
