scholarly journals An analysis of a short-lived outbreak of dengue fever in Mauritius

2009 ◽  
Vol 14 (34) ◽  
Author(s):  
S K Ramchurn ◽  
K Moheeput ◽  
S S Goorah
Keyword(s):  
Public Health ◽  
Dengue Fever ◽  
Health Planning ◽  
Google Earth ◽  
Capital City ◽  
Scale Free Network ◽  
Stochastic Cellular Automata ◽  
Scale Free ◽  
Public Health Planning ◽  
Free Network

During the month of June 2009, Mauritius experienced a short-lived outbreak of dengue fever localised in its capital city Port Louis. Aedes albopictus, a secondary vector of dengue viruses, was the probable vector. We introduce a method which combines Google Earth images, stochastic cellular automata and scale free network ideas to map this outbreak. The method could complement other techniques to forecast the evolution of potential localised mosquito-borne viral outbreaks in Mauritius and in at-risk locations elsewhere for public health planning purposes.

scholarly journals Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan

2021 ◽  
Vol 18 (22) ◽  
pp. 12018
Author(s):  
Syed Ali Asad Naqvi ◽  
Muhammad Sajjad ◽  
Liaqat Ali Waseem ◽  
Shoaib Khalid ◽  
Saima Shaikh ◽  
...  
Keyword(s):  
Public Health ◽  
Dengue Fever ◽  
Pattern Mining ◽  
Hot Spot ◽  
Health Planning ◽  
Ecological Factors ◽  
Spatial Modelling ◽  
Space Time ◽  
Time Pattern ◽  
Public Health Planning

The spatial–temporal assessment of vector diseases is imperative to design effective action plans and establish preventive strategies. Therefore, such assessments have potential public health planning-related implications. In this context, we here propose an integrated spatial disease evaluation (I-SpaDE) framework. The I-SpaDE integrates various techniques such as the Kernel Density Estimation, the Optimized Hot Spot Analysis, space–time assessment and prediction, and the Geographically Weighted Regression (GWR). It makes it possible to systematically assess the disease concentrations, patterns/trends, clustering, prediction dynamics, and spatially varying relationships between disease and different associated factors. To demonstrate the applicability and effectiveness of the I-SpaDE, we apply it in the second largest city of Pakistan, namely Lahore, using Dengue Fever (DF) during 2007–2016 as an example vector disease. The most significant clustering is evident during the years 2007–2008, 2010–2011, 2013, and 2016. Mostly, the clusters are found within the city’s central functional area. The prediction analysis shows an inclination of DF distribution from less to more urbanized areas. The results from the GWR show that among various socio-ecological factors, the temperature is the most significantly associated with the DF followed by vegetation and built-up area. While the results are important to understand the DF situation in the study area and have useful implications for public health planning, the proposed framework is flexible, replicable, and robust to be utilized in other similar regions, particularly in developing countries in the tropics and sub-tropics.

Research on new evolution model of scale-free network

2009 ◽  
Vol 29 (5) ◽  
pp. 1230-1232
Author(s):  
Hao RAO ◽  
Chun YANG ◽  
Shao-hua TAO
Keyword(s):  
Evolution Model ◽  
Scale Free Network ◽  
Scale Free ◽  
Free Network

scholarly journals Adoption of local public health plan for better health and quality of life in Belgrade

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
G Tamburkovski ◽  
G Belamarić ◽  
D Matijević ◽  
S Mladenović Janković
Keyword(s):  
Public Health ◽  
Local Government ◽  
Health Plan ◽  
Health Planning ◽  
City Council ◽  
Public Health Strategy ◽  
Public Health Planning ◽  
Health Strategy ◽  
Public Health Plan ◽  
The City

Abstract Issue Development of public health plan for the City of Belgrade, facilitate multisectoral participation and encourage local government to incorporate public health planning into integrated planning framework, including funding. Description of the Problem According to Public Health Low, adopted in Serbia in 2016 and Public health strategy (2018), Council for Health, as a professional body of the City government, was obliged to prepare draft of the Plan. Members of the City Council are representatives from different sectors: health care, public health, private sector, child care, education and civil society. Based on data and information from relevant institutions and organizations, situation analysis and health profile of the City have been prepared during 2018. Results Public health plan for the City of Belgrade has been drafted for a time period from 2020 to 2026, aligned and within time frame of the National public health strategy. Plan included: mission, vision, objectives, activities, responsible institutions, funding sources and indicators for monitoring. Focus was on health promotion and empowerment of citizens to adopt healthy lifestyle as well on investment in environmental sustainability, poverty and inequalities reduction and minimizing risks to human health and well-being. On December 2019, Belgrade City Assembly adopted this document, with full responsibility for implementation and budgeting specific programs and projects from 2020. Lessons Multisectoral working group, with clear defined scope of work, supported by regulations, encouraged and managed by experts in the field, highly motivated to be creator of changes is prerequisite for successful and productive public health planning process. Key messages Public health planning enabled communication and cooperation among experts and decision makers and represented a whole-of-local government approach to public health. Document is used as a resource and model for the other cities and municipalities.

scholarly journals Analysis on Invulnerability of Wireless Sensor Network towards Cascading Failures Based on Coupled Map Lattice

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Xiuwen Fu ◽  
Yongsheng Yang ◽  
Haiqing Yao
Keyword(s):  
Random Network ◽  
Small World ◽  
Coupled Map Lattice ◽  
Wireless Sensor ◽  
Cascading Failures ◽  
Scale Free Network ◽  
Scale Free ◽  
Network Topologies ◽  
Free Network ◽  
Entire Network

Previous research of wireless sensor networks (WSNs) invulnerability mainly focuses on the static topology, while ignoring the cascading process of the network caused by the dynamic changes of load. Therefore, given the realistic features of WSNs, in this paper we research the invulnerability of WSNs with respect to cascading failures based on the coupled map lattice (CML). The invulnerability and the cascading process of four types of network topologies (i.e., random network, small-world network, homogenous scale-free network, and heterogeneous scale-free network) under various attack schemes (i.e., random attack, max-degree attack, and max-status attack) are investigated, respectively. The simulation results demonstrate that the rise of interference R and coupling coefficient ε will increase the risks of cascading failures. Cascading threshold values Rc and εc exist, where cascading failures will spread to the entire network when R>Rc or ε>εc. When facing a random attack or max-status attack, the network with higher heterogeneity tends to have a stronger invulnerability towards cascading failures. Conversely, when facing a max-degree attack, the network with higher uniformity tends to have a better performance. Besides that, we have also proved that the spreading speed of cascading failures is inversely proportional to the average path length of the network and the increase of average degree k can improve the network invulnerability.

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