The intersection of COVID-19 and air pollution: A systematic literature network analysis and roadmap for future research

Wong, Wong Ming; Wang, Xing; Wang, Yifan

doi:10.1016/j.envres.2023.116839

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…This innovative approach combines the strengths of two essential methodologies, namely Systematic Literature Review (SLR) and Bibliometric Analysis (BA), to provide a comprehensive and nuanced exploration of the research landscape in our study (Colicchia et al, 2019;Nasrudin et al, 2022). This method builds on previous research and is designed to unravel intricate connections and patterns within the literature on our chosen subject (Nasrudin et al, 2022;Wong et al, 2023). Our study's systematic Literature Review (SLR) process adheres to the widely recognized PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) Protocol.…”

Section: Methodsmentioning

confidence: 99%

A Systematic Literature Network Analysis (Slna)

Upayogi,

Riandi,

Sumar Hendayana

et al. 2023

ijils

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This study aims to uncover current, trending, and future research areas within School-University Partnerships (SUPs). The research employs the Systematic Literature Network Analysis (SLNA) method, combining Systematic Literature Review (SLR) using the PRISMA protocol and Bibliometric Analysis with VOSviewer software. The findings indicate a consistent annual increase in SUPs publications, with the United States dominating the research landscape. The VOSviewer analysis reveals key research topics: pre-service teachers, initial teacher education, teacher education in Cluster 1, professional development and school-university partnerships in Cluster 2, and educational development, teacher training, and university in Cluster 3. Overlay Visualization highlights current research trends, including pre-service teachers, professional experience, professional learning community, professional learning, curriculum, learning communities, and communities of practice. Thematic evolution mapping suggests future research involving pre-service teachers in SUPs, such as exploring communities of practice. This research provides valuable guidance for SUPs researchers in selecting and determining future research topics, facilitating informed and strategic contributions to the field.

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Section: Methodsmentioning

confidence: 99%

A Systematic Literature Network Analysis (Slna)

Upayogi,

Riandi,

Sumar Hendayana

et al. 2023

ijils

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“…The first theme explores the impact of COVID-19 on consumer behavior, including purchase decisions (Li et al 2020, Wang et al 2020. The second theme is public health-related, examining issues such as social isolation and diseases associated with the COVID-19 pandemic (Barouki et al 2021, Liao et al 2020, Wong et al 2023. Finally, the third theme concerns COVID-19-related issues such as air pollution or COVID-19 vaccination and their impact on daily confirmed COVID-19 cases or death cases (Lim et al 2021, Meo et al 2021, Wetchayont, 2021.…”

Section: Introductionmentioning

confidence: 99%

Predicting air quality trends in Malaysia’s largest cities: the role of urban population dynamics and COVID-19 effects

Ming Wong,

Tzeng,

et al. 2024

Archives of Environmental Protection

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This paper aims to explore the relationship between the Air Quality Index (AQI), COVID-19 incidence rates, and population density within Malaysia’s ten most populous cities from January 2018 to December 2021. Data were sourced from the Department of Statistics Malaysia, the World Air Quality Index Project, and Our World in Statistics. The methodology integrated population-based city classification and AQI assessment, cluster analysis through SPSS, and Generalized Additive Mixed Model (GAMM) analysis using R Studio despite encountering a data gap in AQI for five months in 2019. Cities were organized into three clusters based on their AQI: Cluster One included Ipoh, Penang, Kuala Lumpur, and Melaka, Cluster Two comprised Kuantan, Seremban, Johor Bahru, and Kota Bharu, Cluster Three featured Kota Kinabalu and Kuching. GAMM analysis revealed prediction accuracies for AQI variations of 58%, 60%, and 41% for the respective clusters, indicating a notable impact of population density on air quality. AQI variations remained unaffected by COVID-19, with a forecasted improvement in air quality across all clusters. The paper presents novel insights into the negligible impact of COVID-19 on AQI variations and underscores the predictive power of population dynamics on urban air quality, offering valuable perspectives for environmental and urban planning.

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