Measurement of dengue epidemic spreading pattern using density analysis method: retrospective spatial statistical study of dengue in Subang Jaya, Malaysia, 2006–2010

2013 ◽  
Vol 107 (11) ◽  
pp. 715-722 ◽  
Author(s):  
Nazri Che Dom ◽  
Abu Hassan Ahmad ◽  
Zulkiflee Abd Latif ◽  
Rodziah Ismail
2017 ◽  
Vol 4 (3) ◽  
pp. 032104 ◽  
Author(s):  
Nicholas M. Pearce ◽  
Anthony R. Bradley ◽  
Tobias Krojer ◽  
Brian D. Marsden ◽  
Charlotte M. Deane ◽  
...  

2018 ◽  
Vol 13 (10) ◽  
pp. 63
Author(s):  
Jincheng Yang ◽  
Xinqu Xia ◽  
Mu Zhang

Based on the multi-index data of 11 cities in Guangdong-Hong Kong-Macao Greater Bay in 2016, the urban economic quality was calculated by TOPSIS method. Applying the modified gravitational model, the economy spatial linkage characteristics of core city-to-periphery city and periphery city-to-periphery city were analyzed. In addition, based on the method of network density analysis, centrality measures, core-periphery structure analysis to make a further verification about facts carried out from spatial connection analysis. This study shows that the Guangdong-Hong Kong-Macao Bay has an obvious core-periphery structure, and the overall economic network connection of Greater Bay is not strong. Guangdong-Shenzhen-Hong Kong is the core urban agglomeration in the Greater Bay Area. Dongguan and Foshan are transforming from marginal cities to semi-marginal cities. The marginal cities are limited by geographical distance or the economic environment, which leads to their development far behind the overall development of the Greater Bay Area. Finally, combined with the new wooden barrel theory and location advantage analysis method, advices were carried out to build a higher-level of the Greater Bay Area in future by dividing the Greater Bay Area into three major urban agglomerations. Urban agglomerations were proposed to meet the resources and industrial demands of the core urban imperfections and drive the economic development of the marginal cities at the same time.


2021 ◽  
Author(s):  
Jan E. Snellman ◽  
Rafael A. Barrio ◽  
Kimmo K. Kaski ◽  
Maarit J. Käpylä

Abstract In this study we present a dynamical agent-based model to investigate the interplay between the socio-economy of and SEIRS-type epidemic spreading over a geographical area, divided to smaller area districts and further to smallest area cells. The model treats the populations of cells and authorities of districts as agents, such that the former can reduce their economic activity and the latter can recommend economic activity reduction both with the overall goal to slow down the epidemic spreading. The agents make decisions with the aim of attaining as high social positions as possible relative to other agents. They evaluate their social positions based on the local and regional infection rates, compliance to the authorities’ regulations, regional drops in economic activity, and the efforts they make to mitigate the spread of epidemic. We find that the willingness of populations to comply with authorities’ recommendations has the most drastic effect to the spreading of epidemic: periodic waves spread almost unimpeded in non-compliant populations, while in compliant ones the spread is minimal with a chaotic spreading pattern and significantly lower infection rates. Health and economic concerns of agents turned out to have lesser roles, the former increasing their efforts and the latter decreasing them.


1976 ◽  
Vol 32 ◽  
pp. 675-683
Author(s):  
Keiichi Kodaira

SummaryExcess of [m1] index of Am stars, relative to normal stars, is statistically found to be correlated with rotation velocity; the coefficient is estimated at ∆׀m1׀ /∆V(km/sec) ˜ - 0.0007 among Am stars. This result supports the general view that slow rotation is essential for Am phenomena.


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