A Systematic Review of COVID-19 Geographical Research: Machine Learning and Bibliometric Approach

Xi, Jinglun; Liu, Xiaolu; Wang, Jianghao; Ling, Yao; Zhou, Chenghu

doi:10.1080/24694452.2022.2130143

Cited by 9 publications

(5 citation statements)

References 127 publications

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“…The first case of SARS-CoV-2 was discovered in Wuhan, Hubei Province, on December 8, 2019, and the first case of SARS was discovered in Foshan, Guangdong Province, in November 2002, which were very similar in terms of the outbreak seasons. Previous studies [ 29 ] demonstrated that natural factors, particularly meteorological conditions such as temperature, precipitation, and radiation intensity, change the occurrence and spread of infectious diseases by affecting the pathogens, hosts, and transmission environments. Extreme weather events such as high temperatures, droughts, and floods pose direct risks to human health and indirectly affect the epidemic intensity and scope of infectious diseases [ 37 ].…”

Section: Discussionmentioning

confidence: 99%

“…According to the principle of epidemiological transmission, physical isolation is the most direct and effective method for preventing and controlling SARS-CoV-2 [26][27][28]. Most countries have implemented a series of non-drug interventions [29] to effectively control the spread of SARS-CoV-2 [30,31]. Carleton et al [25] reported that the effect of climate is less significant than that of physical isolation.…”

Section: Introductionmentioning

confidence: 99%

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Impact of climate change on SARS-CoV-2 epidemic in China

Wang

Tan

et al. 2023

PLoS ONE

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The outbreak and prevalence of SARS-CoV-2 have severely affected social security. Physical isolation is an effective control that affects the short-term human-to-human transmission of the epidemic, although weather presents a long-term effect. Understanding the effect of weather on the outbreak allow it to be contained at the earliest possible. China is selected as the study area, and six weather factors that receive the most attention from January 20, 2020 to April 30, 2020 are selected to investigate the correlation between weather and SARS-CoV-2 to provide a theoretical basis for long-term epidemic prevention and control. The results show that (1) the average growth rate (GR) of SARS-CoV-2 in each province is logarithmically distributed with a mean value of 5.15%. The GR of the southeastern region is higher than that of the northwestern region, which is consistent with the Hu Line. (2) The specific humidity, 2-m temperature (T), ultraviolet (UV) radiation, and wind speed (WS) adversely affect the GR. By contrast, the total precipitation (TP) and surface pressure (SP) promote the GR. (3) For every 1 unit increase in UV radiation, the GR decreases by 0.30% in 11 days, and the UV radiation in China is higher than that worldwide (0.92% higher per day). Higher population aggregation and urbanization directly affect the epidemic, and weather is an indirect factor.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of climate change on SARS-CoV-2 epidemic in China

Wang

Tan

et al. 2023

PLoS ONE

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“…Geography has an essential contribution to COVID-19 epidemic research [23], which is reflected in four aspects-the spread of the pandemic, social management, public behavior, and impacts of the pandemic. Some geographical models have been widely used in the prediction of COVID-19, such as the GWR model [24][25][26], the GTWR model [27][28][29], and the MGWR model [24].…”

Section: Of 19mentioning

confidence: 99%

Quantitative Study on American COVID-19 Epidemic Predictions and Scenario Simulations

Sun,

Qi,

Yan

et al. 2024

IJGI

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The COVID-19 pandemic has had a profound impact on people’s lives, making accurate prediction of epidemic trends a central focus in COVID-19 research. This study innovatively utilizes a spatiotemporal heterogeneity analysis (GTNNWR) model to predict COVID-19 deaths, simulate pandemic prevention scenarios, and quantitatively assess their preventive effects. The results show that the GTNNWR model exhibits superior predictive capacity to the conventional infectious disease dynamics model (SEIR model), which is approximately 9% higher, and reflects the spatial and temporal heterogeneity well. In scenario simulations, this study established five scenarios for epidemic prevention measures, and the results indicate that masks are the most influential single preventive measure, reducing deaths by 5.38%, followed by vaccination at 3.59%, and social distancing mandates at 2.69%. However, implementing single stringent preventive measures does not guarantee effectiveness across all states and months, such as California in January 2025, Florida in August 2024, and March–April 2024 in the continental U.S. On the other hand, the combined implementation of preventive measures proves 5 to-10-fold more effective than any single stringent measure, reducing deaths by 27.2%. The deaths under combined implementation measures never exceed that of standard preventive measures in any month. The research found that the combined implementation of measures in mask wearing, vaccination, and social distancing during winter can reduce the deaths by approximately 45%, which is approximately 1.5–3-fold higher than in the other seasons. This study provides valuable insights for COVID-19 epidemic prevention and control in America.

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“…During the period when the questionnaire was collected, the COVID-19 pandemic was not serious in China, and there was no large-scale lockdown policy that would affect residents' access to UGS [67]. The COVID-19 epidemic and related lockdown policies have a huge impact on people's travel [68]. However, studies have found that residents prefer to go to UGS rather than recreational places and workplaces during the COVID-19 pandemic [69,70].…”

Section: Influencing Factors Of Residents' Preference For Ugsmentioning

confidence: 99%

Residents’ Preference for Urban Green Space Types and Their Ecological-Social Services in China

Zhao

Zhang

et al. 2022

Land

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With accelerated urbanization and rapid expansion of the urban population, there is an increasing demand among urban residents for urban green spaces (UGS) and the ecosystem services (ES) they provide. The existing research mostly focuses on the spatial pattern of UGS types and ES provided by different UGS but ignores that residents’ preferences for UGS types and their ecological and social services should also be incorporated into the spatial planning decision-making of UGS. A web-based questionnaire was distributed randomly in urban areas of China and 1050 valid samples were collected in this study. Descriptive statistical analysis methods, structural equation modeling, and Pearson correlation were used to parse the residents’ preference for both UGS types, ecological–social services, and the relevant impact factors. The results showed that: (1) the strongest preference of residents for UGS and their ecological and social services are the attached green space, “beautifying the city”, and “physical and mental relaxation”, respectively; (2) the leading factors for residents’ access to UGS are “age” and “sufficient time”, except for attached green space. The most significant effect on both ecological and social services is the “season” factor. Further, “social gathering” and “exercise” are the services most and least likely to be affected. (3) Future planning of UGS should reinforce construction of attached green space and improve the aesthetics-related ES they provide. Construction of park green space and plaza green space should be enhanced to deal with the aging trend in society. Further, maintaining the existing construction of attached green space and building regional green space are crucial to the sustainability of UGS and its ecological–social services.

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A Systematic Review of COVID-19 Geographical Research: Machine Learning and Bibliometric Approach

Cited by 9 publications

References 127 publications

Impact of climate change on SARS-CoV-2 epidemic in China

Impact of climate change on SARS-CoV-2 epidemic in China

Quantitative Study on American COVID-19 Epidemic Predictions and Scenario Simulations

Residents’ Preference for Urban Green Space Types and Their Ecological-Social Services in China

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