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Article ; Online: Geographical Analysis of the COVID-19 Epidemic in Hunan Province, China in 2020

Gong Shengsheng / Mo Hui

Redai dili, Vol 41, Iss 4, Pp 708-

2021 Volume 722

Abstract: The COVID-19 epidemic spread globally at the start of 2020, resulting in a wide range of diffusion of infectious diseases. At present, SARS-CoV-2 is still prevalent worldwide, and it is of great practical significance to strengthen the study on the COVID- ...

Abstract	The COVID-19 epidemic spread globally at the start of 2020, resulting in a wide range of diffusion of infectious diseases. At present, SARS-CoV-2 is still prevalent worldwide, and it is of great practical significance to strengthen the study on the COVID-19 epidemic. Based on the COVID-19 confirmed cases and incidence, this article explored both the temporal and spatial distribution pattern of COVID-19 in Hunan Province and its influencing variables between January 21 and February 28, 2020 by using ArcGIS 10.3 and GeoDetector. The results show that: 1) The epidemic evolved with temporal phasing. The epidemic in Hunan Province can be divided into four basic stages: the diffusion period, peak period, decay period, and the stagnant period.The first COVID-19 confirmed case of 84.47% affected counties was imported from Wuhan;2) The epidemic spread as a result of transportation convenience. The confirmed COVID-19 cases were concentrated near major railway lines, which were also high-incidence areas. The epidemic occurred "early in prefecture-level cities and frequently in urban areas"; 3) the extent of the epidemic has distance attenuation. The COVID-19 cases and high-incidence areas were mainly distributed in the middle, north, and northeast of Hunan, in regions in proximity to Wuhan; 4) the epidemic was distributed with spatial aggregation. The agglomeration level of cases and incidences increased first and then remained high. The hot spots identified are in Changzhutan and Yueyang City, while the cold spots are in Xiangxi Prefecture; 5) the epidemic prevalence was of variable interaction. Wind-free, cold and dry weather was more conducive to the spread of the epidemic; population density, road network density and GDP were the main factors affecting the epidemic spatial differentiation; and the strongest variable interaction happened between natural and social factors. 6) the influencing variables of the COVID-19 epidemic have spatial heterogeneity. The impacts of spatial distance and population density have spatial heterogeneity on both the reported cases the total infections rates of COVID-19, spatial distance has the greatest impact in northeast Hunan, and population density has the greatest impact in northwest and northern Hunan; but the mobility of population and the number of health technicians only have spatial heterogeneity of impacts on the reported cases of COVID-19, the impact of population mobility is diminishing from north to south in Hunan, and the influence of the number of health technicians decreases gradually with the Changsha-Zhuzhou-Xiangtan city agglomeration as the core to the outer circle.The paper's conclusions are consistent with other scholars' studies in other regions, confirming that the epidemic not only spreads significantly in neighboring areas, but there are also "jump spreads" to distant cities that rely on the transportation network in Hunan. It is evident that restricting the entry of residents of affected areas plays a key role in COVID-19 prevention and control, and moreover, allocating plentiful health technicians, executing rigorous transport quarantine, and adopting compatible preventing measures with local and temporal conditions, are the top priorities in effectively responding to the impact of the COVID-19 epidemic.
Keywords	covid-19 epidemic ; transmission path ; spatial-temporal pattern ; hunan province ; Geography (General) ; G1-922
Subject code	910
Language	Chinese
Publishing date	2021-07-01T00:00:00Z
Publisher	Editorial Committee of Tropical Geography
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Geographical characteristics and influencing factors of the influenza epidemic in Hubei, China, from 2009 to 2019.

Mengmeng Yang / Shengsheng Gong / Shuqiong Huang / Xixiang Huo / Wuwei Wang

PLoS ONE, Vol 18, Iss 11, p e

2023 Volume 0280617

Abstract: Influenza is an acute respiratory infectious disease that commonly affects people and has an important impact on public health. Based on influenza incidence data from 103 counties in Hubei Province from 2009 to 2019, this study used time series analysis ... ...

Abstract	Influenza is an acute respiratory infectious disease that commonly affects people and has an important impact on public health. Based on influenza incidence data from 103 counties in Hubei Province from 2009 to 2019, this study used time series analysis and geospatial analysis to analyze the spatial and temporal distribution characteristics of the influenza epidemic and its influencing factors. The results reveal significant spatial-temporal clustering of the influenza epidemic in Hubei Province. Influenza mainly occurs in winter and spring of each year (from December to March of the next year), with the highest incidence rate observed in 2019 and an overall upward trend in recent years. There were significant spatial and urban-rural differences in influenza prevalence in Hubei Province, with the eastern region being more seriously affected than the central and western regions, and the urban regions more seriously affected than the rural region. Hubei's influenza epidemic showed an obvious spatial agglomeration distribution from 2009 to 2019, with the strongest clustering in winter. The hot spot areas of interannual variation in influenza were mainly distributed in eastern and western Hubei, and the cold spot areas were distributed in north-central Hubei. In addition, the cold hot spot areas of influenza epidemics varied from season to season. The seasonal changes in influenza prevalence in Hubei Province are mainly governed by meteorological factors, such as temperature, sunshine, precipitation, humidity, and wind speed. Low temperature, less rain, less sunshine, low wind speed and humid weather will increase the risk of contracting influenza; the interannual changes and spatial differentiation of influenza are mainly influenced by socioeconomic factors, such as road density, number of health technicians per 1,000 population, urbanization rate and population density. The strength of influenza's influencing factors in Hubei Province exhibits significant spatial variation, but in general, the formation of spatial ...
Keywords	Medicine ; R ; Science ; Q
Subject code	910
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Geographical characteristics and influencing factors of the influenza epidemic in Hubei, China, from 2009 to 2019.

Yang, Mengmeng / Gong, Shengsheng / Huang, Shuqiong / Huo, Xixiang / Wang, Wuwei

PloS one

2023 Volume 18, Issue 11, Page(s) e0280617

Abstract	Influenza is an acute respiratory infectious disease that commonly affects people and has an important impact on public health. Based on influenza incidence data from 103 counties in Hubei Province from 2009 to 2019, this study used time series analysis and geospatial analysis to analyze the spatial and temporal distribution characteristics of the influenza epidemic and its influencing factors. The results reveal significant spatial-temporal clustering of the influenza epidemic in Hubei Province. Influenza mainly occurs in winter and spring of each year (from December to March of the next year), with the highest incidence rate observed in 2019 and an overall upward trend in recent years. There were significant spatial and urban-rural differences in influenza prevalence in Hubei Province, with the eastern region being more seriously affected than the central and western regions, and the urban regions more seriously affected than the rural region. Hubei's influenza epidemic showed an obvious spatial agglomeration distribution from 2009 to 2019, with the strongest clustering in winter. The hot spot areas of interannual variation in influenza were mainly distributed in eastern and western Hubei, and the cold spot areas were distributed in north-central Hubei. In addition, the cold hot spot areas of influenza epidemics varied from season to season. The seasonal changes in influenza prevalence in Hubei Province are mainly governed by meteorological factors, such as temperature, sunshine, precipitation, humidity, and wind speed. Low temperature, less rain, less sunshine, low wind speed and humid weather will increase the risk of contracting influenza; the interannual changes and spatial differentiation of influenza are mainly influenced by socioeconomic factors, such as road density, number of health technicians per 1,000 population, urbanization rate and population density. The strength of influenza's influencing factors in Hubei Province exhibits significant spatial variation, but in general, the formation of spatial variation of influenza in Hubei Province is still the result of the joint action of socioeconomic factors and natural meteorological factors. Understanding the temporal and spatial distribution characteristics of influenza in Hubei Province and its influencing factors can provide a reasonable decision-making basis for influenza prevention and control and public health development in Hubei Province and can also effectively improve the scientific understanding of the public with respect to influenza and other respiratory infectious diseases to reduce the influenza incidence, which also has reference significance for the prevention and control of influenza and other respiratory infectious diseases in other countries or regions.
MeSH term(s)	Humans ; Spatio-Temporal Analysis ; Influenza, Human/epidemiology ; Seasons ; China/epidemiology ; Communicable Diseases
Language	English
Publishing date	2023-11-27
Publishing country	United States
Document type	Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0280617
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Spatiotemporal changes of epidemics and their relationship with human living environments in China over the past 2200 years.

Gong, Shengsheng / Xie, Haichao / Chen, Fahu

Science China. Earth sciences

2020 Volume 63, Issue 8, Page(s) 1223–1226

Keywords	covid19
Language	English
Publishing date	2020-06-02
Publishing country	China
Document type	News
ZDB-ID	2546528-4
ISSN	1869-1897 ; 1674-7313
ISSN (online)	1869-1897
ISSN	1674-7313
DOI	10.1007/s11430-020-9608-x
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Epidemiological characteristics and spatiotemporal patterns of hand, foot, and mouth disease in Hubei, China from 2009 to 2019.

Wuwei Wang / Mark W Rosenberg / Hongying Chen / Shengsheng Gong / Mengmeng Yang / Dacai Deng

PLoS ONE, Vol 18, Iss 6, p e

2023 Volume 0287539

Abstract: Background Hand, foot, and mouth disease (HFMD) is a public health issue in Hubei and studies of- spatiotemporal clustering at a fine scale are limited. The purpose of this research was to analyze the epidemiological characteristics, temporal variation ... ...

Abstract	Background Hand, foot, and mouth disease (HFMD) is a public health issue in Hubei and studies of- spatiotemporal clustering at a fine scale are limited. The purpose of this research was to analyze the epidemiological characteristics, temporal variation characteristics, and spatiotemporal clustering of HFMD cases at the town level from 2009 to 2019 to improve public health outcomes. Methods Mathematical statistics, a seasonal index, wavelet analysis, and spatiotemporal scans were used to analyze epidemiological characteristics, time series trends, and spatiotemporal clusters of HFMD in Hubei. Results EV-A71 (Enterovirus A71) and CVA16 (Coxsackievirus A16) constitute the two primary pathogens of the HFMD epidemic in Hubei, among which EV-A71 is the dominant pathogen, especially in 2016. In terms of age distribution, a major peak occurred at 0-5 years and a very small increase appeared at 25-35 years, with the former having a higher incidence among males than females and the latter having the opposite difference between males and females. The number/rate of HFMD cases exhibited a considerable increase followed by a moderate decline from 2009 to 2019, with the first large peak in April-July and a smaller peak in November-December. HFMD in Hubei exhibited the characteristics of a 270-day cycle with multiscale nesting, which was similar to the periodicity of HFMD cases caused by EV-A71 (9 months). Cities with a higher incidence of HFMD formed a part of an "A-shaped urban skeleton". Subdistricts had the highest incidence of HFMD, followed by towns and villages. The spatiotemporal scan results showed one most likely cluster and 22 secondary clusters, which was consistent with the geographic location of railways and rivers in Hubei. Conclusions These findings may be helpful in the prevention and control of HFMD transmission and in implementing effective measures in Hubei Province.
Keywords	Medicine ; R ; Science ; Q
Subject code	590
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Epidemiological characteristics and spatiotemporal patterns of hand, foot, and mouth disease in Hubei, China from 2009 to 2019.

Wang, Wuwei / Rosenberg, Mark W / Chen, Hongying / Gong, Shengsheng / Yang, Mengmeng / Deng, Dacai

PloS one

2023 Volume 18, Issue 6, Page(s) e0287539

Abstract: Background: Hand, foot, and mouth disease (HFMD) is a public health issue in Hubei and studies of- spatiotemporal clustering at a fine scale are limited. The purpose of this research was to analyze the epidemiological characteristics, temporal variation ...

Abstract	Background: Hand, foot, and mouth disease (HFMD) is a public health issue in Hubei and studies of- spatiotemporal clustering at a fine scale are limited. The purpose of this research was to analyze the epidemiological characteristics, temporal variation characteristics, and spatiotemporal clustering of HFMD cases at the town level from 2009 to 2019 to improve public health outcomes. Methods: Mathematical statistics, a seasonal index, wavelet analysis, and spatiotemporal scans were used to analyze epidemiological characteristics, time series trends, and spatiotemporal clusters of HFMD in Hubei. Results: EV-A71 (Enterovirus A71) and CVA16 (Coxsackievirus A16) constitute the two primary pathogens of the HFMD epidemic in Hubei, among which EV-A71 is the dominant pathogen, especially in 2016. In terms of age distribution, a major peak occurred at 0-5 years and a very small increase appeared at 25-35 years, with the former having a higher incidence among males than females and the latter having the opposite difference between males and females. The number/rate of HFMD cases exhibited a considerable increase followed by a moderate decline from 2009 to 2019, with the first large peak in April-July and a smaller peak in November-December. HFMD in Hubei exhibited the characteristics of a 270-day cycle with multiscale nesting, which was similar to the periodicity of HFMD cases caused by EV-A71 (9 months). Cities with a higher incidence of HFMD formed a part of an "A-shaped urban skeleton". Subdistricts had the highest incidence of HFMD, followed by towns and villages. The spatiotemporal scan results showed one most likely cluster and 22 secondary clusters, which was consistent with the geographic location of railways and rivers in Hubei. Conclusions: These findings may be helpful in the prevention and control of HFMD transmission and in implementing effective measures in Hubei Province.
MeSH term(s)	Male ; Female ; Humans ; Infant ; Infant, Newborn ; Child, Preschool ; Hand, Foot and Mouth Disease/epidemiology ; Enterovirus ; Enterovirus Infections/epidemiology ; Enterovirus A, Human ; China/epidemiology
Language	English
Publishing date	2023-06-23
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0287539
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Spatiotemporal changes of epidemics and their relationship with human living environments in China over the past 2200 years

Gong, Shengsheng / Xie, Haichao / Chen, Fahu

Sci China Earth Sci

Keywords	covid19
Publisher	PMC
Document type	Article ; Online
DOI	10.1007/s11430-020-9608-x
Database	COVID19

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Article: Anti-aging effects of fetal dermal mesenchymal stem cells in a D-galactose-induced aging model of adult dermal fibroblasts

Pan, Shengsheng / Gong, Siyu / Zhang, Jingjuan / Jia, Shanshan / Wang, Maoying / Pan, Yi / Wang, Xiao / Jiang, Duyin

In vitro cellular & developmental biology. 2021 Sept., v. 57, no. 8

2021

Abstract: The main characteristic of skin aging is the change in the composition of the dermis, mainly resulting from fibroblast senescence. Mesenchymal stem cells derived from fetal dermis are defined as fetal dermal mesenchymal stem cells; they reportedly exert ... ...

Abstract	The main characteristic of skin aging is the change in the composition of the dermis, mainly resulting from fibroblast senescence. Mesenchymal stem cells derived from fetal dermis are defined as fetal dermal mesenchymal stem cells; they reportedly exert wound healing effects on the skin and regulate keloid fibroblast proliferation. D-Galactose is widely used in animal aging models. In this study, we confirmed that D-galactose inhibits adult dermal fibroblast proliferation, and the inhibitory effect gradually increased with increasing concentration. Finally, we chose a concentration of 40 g/L D-galactose to induce adult dermal fibroblast senescence. D-Galactose increased the intensity of senescence-associated β-galactosidase staining and the levels of reactive oxygen species in adult dermal fibroblasts. Furthermore, D-galactose increased the mRNA expression of p16, p21, and p53. The fetal dermal mesenchymal stem cell–conditioned medium improved the above-mentioned effects. Overall, fetal dermal mesenchymal stem cells exerted anti-aging effects against adult dermal fibroblasts induced by D-galactose via paracrine functions.
Keywords	adults ; animals ; dermis ; fibroblasts ; galactose ; gene expression ; models ; reactive oxygen species
Language	English
Dates of publication	2021-09
Size	p. 795-807.
Publishing place	Springer US
Document type	Article
ISSN	1071-2690
DOI	10.1007/s11626-021-00624-z
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Anti-aging effects of fetal dermal mesenchymal stem cells in a D-galactose-induced aging model of adult dermal fibroblasts.

Pan, Shengsheng / Gong, Siyu / Zhang, Jingjuan / Jia, Shanshan / Wang, Maoying / Pan, Yi / Wang, Xiao / Jiang, Duyin

In vitro cellular & developmental biology. Animal

2021 Volume 57, Issue 8, Page(s) 795–807

Abstract	The main characteristic of skin aging is the change in the composition of the dermis, mainly resulting from fibroblast senescence. Mesenchymal stem cells derived from fetal dermis are defined as fetal dermal mesenchymal stem cells; they reportedly exert wound healing effects on the skin and regulate keloid fibroblast proliferation. D-Galactose is widely used in animal aging models. In this study, we confirmed that D-galactose inhibits adult dermal fibroblast proliferation, and the inhibitory effect gradually increased with increasing concentration. Finally, we chose a concentration of 40 g/L D-galactose to induce adult dermal fibroblast senescence. D-Galactose increased the intensity of senescence-associated β-galactosidase staining and the levels of reactive oxygen species in adult dermal fibroblasts. Furthermore, D-galactose increased the mRNA expression of p16, p21, and p53. The fetal dermal mesenchymal stem cell-conditioned medium improved the above-mentioned effects. Overall, fetal dermal mesenchymal stem cells exerted anti-aging effects against adult dermal fibroblasts induced by D-galactose via paracrine functions.
MeSH term(s)	Adult ; Aging/drug effects ; Aging/physiology ; Animals ; Apoptosis ; Blotting, Western ; Cellular Senescence/drug effects ; Culture Media ; Dermis/cytology ; Dermis/embryology ; Fibroblasts/drug effects ; Fibroblasts/physiology ; Galactose/pharmacology ; Humans ; Male ; Mesenchymal Stem Cells/physiology ; Reactive Oxygen Species/metabolism ; Reverse Transcriptase Polymerase Chain Reaction
Chemical Substances	Culture Media ; Reactive Oxygen Species ; Galactose (X2RN3Q8DNE)
Language	English
Publishing date	2021-10-13
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1077810-x
ISSN	1543-706X ; 0883-8364 ; 1071-2690
ISSN (online)	1543-706X
ISSN	0883-8364 ; 1071-2690
DOI	10.1007/s11626-021-00624-z
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Article: Characterizing the provision and inequality of primary school greenspaces in China’s major cities based on multi-sensor remote sensing

Meng, Ran / Xu, Binyuan / Zhao, Feng / Dong, Yuntao / Wang, Chong (Alex) / Sun, Rui / Zhou, Yu / Zhou, Longfei / Gong, Shengsheng / Zhang, Dawei

Urban forestry & urban greening. 2022 July 06,

2022

Abstract: Environmental and green justice problems occur globally, especially in cities with unequal access to urban greenspaces. Recently, inequality in school greenspaces has drawn growing attention, given the importance of campus green environments in young ... ...

Abstract	Environmental and green justice problems occur globally, especially in cities with unequal access to urban greenspaces. Recently, inequality in school greenspaces has drawn growing attention, given the importance of campus green environments in young students’ health and academic performance. However, the commonly used NDVI method for measuring greenspace from satellite imagery is hindered by the saturation issue and tend to underestimate greenspace at high vegetation cover areas, causing large uncertainties in greenspace inequality studies at a national scale. Besides, despite the progress on the inequality of public greenspace exposure, our understandings of primary school greenspace provision and inequality, as well as the driving factors, for young students in a developing world (e.g., China) is still limited. To address these issues, we first adapted a spectral unmixing technique based on multi-sensor remote sensing for more accurate measurements of greenspace provision. Then, we evaluated the provision and inequality of greenspace for 19,681 primary schools in China’s 31 major cities and examined the driving factors using an integrated path analysis. Our findings revealed that: (1) Our proposed multi-sensor remote sensing-based method for greenspace measurement is reliable across our study area with a R-squared of 0.81 and RMSE of 0.14; in contrast, the traditional NDVI-based greenspace measurement saturated at the range of 0.7-1.0, leading to much lower accuracy (a R-squared of 0.72 and RMSE of 0.24). (2) Most of the cities under study had low to moderate levels of inequality in primary school greenspace (Gini index < 0.5), but the overall greenspace provision was relatively low; Five cities under study facing high inequality in greenspace exposure (Gini index ≥ 0.5) as well as low greenspace provision (mean fraction cover < 0.25). (3) The monthly maximum temperature and the mean cover of greenspace in primary schools were identified as variables directly affecting the inequality in primary school greenspace (R² = 0.76, p-value < 0.05), whereas the city-level government revenue manifests its effects through the mean cover of greenspace in primary schools and city-level mean greenspace cover. By developing a novel framework for examining the provision and inequality of greenspace in all primary schools in China’s major cities, our study provides valuable insights for designing and evaluating school greening programs in support of healthier learning environment development for next generations.
Keywords	academic achievement ; elementary schools ; green infrastructure ; income ; path analysis ; remote sensing ; temperature ; urban forestry ; vegetation cover ; China
Language	English
Dates of publication	2022-0706
Publishing place	Elsevier GmbH
Document type	Article
Note	Pre-press version
ISSN	1618-8667
DOI	10.1016/j.ufug.2022.127670
Database	NAL-Catalogue (AGRICOLA)

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