Occurrence of Pratylenchus scribneri on Soybean in Henan Province, China

ObjectiveTo evaluate the level of worry and its influencing factors during the COVID-19 epidemic among teachers in Henan Province in China.Study designA cross-sectional study was conducted.MethodsWe designed a cross-sectional survey that included 88 611 teachers from three cities in Henan Province, China between 4 February 2020 and 12 February 2020. Level of worry was measured using a five-item Likert scale, with 1 being ‘not worried’ and 5 being ‘very worried’. The OR and 95% CI of potential influencing factors for level of worry among study participants were estimated using ordinal logistic regression models.ResultsAbout 59% of teachers reported being ‘very worried’ about the COVID-19 epidemic. The proportion of female teachers was higher than of male teachers (60.33% vs 52.89%). In all age groups considered in this study, a ‘very worried’ condition accounted for the highest proportion. The age group 40–49 years had the lowest proportion of participants who were very worried, 52.34% of whom were men and 58.62% were women. After controlling for potential confounding factors, age, education level, type of teacher, school location, attention level, fear level, anxiety level and behaviour status were all related to level of worry (all p<0.05).ConclusionDuring the COVID-19 epidemic, there was a high proportion of teachers who were ‘very worried’ about the situation in Henan Province, China. Our study may remind policymakers to consider factors including age, educational status, type of teacher, school location, source of information on COVID-19, attention level, anxiety level, fear level and behaviour status to alleviate worry.

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Research on the Two-stage Technology Innovation Efficiency of Equipment Manufacturing industry in Henan Province — Based on Stochastic Frontier Analysis method

2020 International Conference on Modern Education and Information Management (ICMEIM) ◽

10.1109/icmeim51375.2020.00137 ◽

2020 ◽

Author(s):

Qingxiao Wang ◽

Ziyan An

Keyword(s):

Manufacturing Industry ◽

Stochastic Frontier Analysis ◽

Technology Innovation ◽

Stochastic Frontier ◽

Henan Province ◽

Analysis Method ◽

Two Stage ◽

Frontier Analysis ◽

Equipment Manufacturing ◽

Equipment Manufacturing Industry

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Phylogenetic analysis of porcine circoviruses 4 in Henan Province of China: a retrospective study from 2011 to 2021

Transboundary and Emerging Diseases ◽

10.1111/tbed.14172 ◽

2021 ◽

Author(s):

Cheng‐Yao Hou ◽

Liu‐Hui Zhang ◽

Yuan‐Hang Zhang ◽

Jian‐Tao Cui ◽

Li Zhao ◽

...

Keyword(s):

Phylogenetic Analysis ◽

Retrospective Study ◽

Henan Province ◽

Porcine Circoviruses

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Carbon Storage Change Analysis and Emission Reduction Suggestions under Land Use Transition: A Case Study of Henan Province, China

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18041844 ◽

2021 ◽

Vol 18 (4) ◽

pp. 1844

Author(s):

Dongyang Xiao ◽

Haipeng Niu ◽

Jin Guo ◽

Suxia Zhao ◽

Liangxin Fan

Keyword(s):

Land Use ◽

River Basin ◽

Yangtze River ◽

Carbon Emission ◽

Yellow River ◽

Yangtze River Basin ◽

Yellow River Basin ◽

River Basins ◽

Henan Province ◽

Huai River

The significant spatial heterogeneity among river basin ecosystems makes it difficult for local governments to carry out comprehensive governance for different river basins in a special administrative region spanning multi-river basins. However, there are few studies on the construction of a comprehensive governance mechanism for multi-river basins at the provincial level. To fill this gap, this paper took Henan Province of China, which straddles four river basins, as the study region. The chord diagram, overlay analysis, and carbon emission models were applied to the remote sensing data of land use to analyze the temporal and spatial patterns of carbon storage caused by land-use changes in Henan Province from 1990 to 2018 to reflect the heterogeneity of the contribution of the four basins to human activities and economic development. The results revealed that food security land in the four basins decreased, while production and living land increased. Ecological conservation land was increased over time in the Yangtze River Basin. In addition, the conversion from food security land to production and living land was the common characteristic for the four basins. Carbon emission in Henan increased from 134.46 million tons in 1990 to 553.58 million tons in 2018, while its carbon absorption was relatively stable (1.67–1.69 million tons between 1990 and 2018). The carbon emitted in the Huai River Basin was the main contributor to Henan Province’s total carbon emission. The carbon absorption in Yellow River Basin and Yangtze River Basin had an obvious spatial agglomeration effect. Finally, considering the current need of land spatial planning in China and the goal of carbon neutrality by 2060 set by the Chinese government, we suggested that carbon sequestration capacity should be further strengthened in Yellow River Basin and Yangtze River Basin based on their respective ecological resource advantages. For future development in Hai River Basin and Huai River Basin, coordinating the spatial allocation of urban scale and urban green space to build an ecological city is a key direction to embark upon.

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Measuring Dynamic Changes in the Spatial Pattern and Connectivity of Surface Waters Based on Landscape and Graph Metrics: A Case Study of Henan Province in Central China

Land ◽

10.3390/land10050471 ◽

2021 ◽

Vol 10 (5) ◽

pp. 471

Author(s):

Bo Mu ◽

Guohang Tian ◽

Gengyu Xin ◽

Miao Hu ◽

Panpan Yang ◽

...

Keyword(s):

Surface Water ◽

Nearest Neighbor ◽

Dynamic Change ◽

Henan Province ◽

Central China ◽

Node Degree ◽

Human Society ◽

Stepping Stones ◽

Dynamic Changes ◽

Graph Metrics

An understanding of the scientific layout of surface water space is crucial for the sustainable development of human society and the ecological environment. The objective of this study was to use land-use/land-cover data to identify the spatiotemporal dynamic change processes and the influencing factors over the past three decades in Henan Province, central China. Multidisciplinary theories (landscape ecology and graph theory) and methods (GIS spatial analysis and SPSS correlation analysis) were used to quantify the dynamic changes in surface water pattern and connectivity. Our results revealed that the water area decreased significantly during the periods of 1990–2000 and 2010–2018 due to a decrease in tidal flats and linear waters, but increased significantly in 2000–2010 due to an increase in patchy waters. Human construction activities, socioeconomic development and topography were the key factors driving the dynamics of water pattern and connectivity. The use of graph metrics (node degree, betweenness centrality, and delta probability of connectivity) in combination with landscape metrics (Euclidean nearest-neighbor distance) can help establish the parameters of threshold distance between connected habitats, identify hubs and stepping stones, and determine the relatively important water patches that require priority protection or development.

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