scholarly journals Dengue importation into Europe: a network connectivity-based approach

2019 ◽  
Author(s):  
Donald Salami ◽  
César Capinha ◽  
Maria do Rosário Oliveira Martins ◽  
Carla Alexandra Sousa
Keyword(s):  
European Country ◽  
Dengue Fever ◽  
Network Connectivity ◽  
Transport Network ◽  
Air Transport ◽  
Geographical Proximity ◽  
Passenger Traffic ◽  
Imported Case ◽  
Connectivity Indices ◽  
To Receive

AbstractThe spread of dengue through global human mobility is a major public health concern. A key challenge is understanding the transmission pathways and mediating factors that characterized the patterns of dengue importation into non-endemic areas. Utilizing a network connectivity-based approach, we analyze the importation patterns of dengue fever into European countries.Seven connectivity indices were developed to characterize the role of the air passenger traffic, seasonality, incidence rate, geographical proximity, epidemic vulnerability, and wealth of a source country, in facilitating the transport and importation of dengue fever. We used generalized linear mixed models (GLMMs) to examine the relationship between dengue importation and the connectivity indices while accounting for the air transport network structure. We also incorporated network autocorrelation within a GLMM framework to investigate the propensity of a European country to receive an imported case, by virtue of its position within the air transport network.The connectivity indices and dynamical processes of the air transport network were strong predictors of dengue importation in Europe. With more than 70% of the variation in dengue importation patterns explained. We found that transportation potential was higher for source countries with seasonal dengue activity, high passenger traffic, high incidence rates, lower economic status, and geographical proximity to a destination country in Europe. We also found that position of a European country within the air transport network was a strong predictor of the country’s propensity to receive an imported case.Our findings provide evidence that the importation patterns of dengue into Europe can be largely explained by appropriately characterizing the heterogeneities of the source, and topology of the air transport network. This contributes to the foundational framework for building integrated predictive models for bio-surveillance of dengue importation.

scholarly journals ANALYSIS OF POSSIBILITY OF USING NEURAL NETWORK TO FORECAST PASSENGER TRAFFIC FLOWS IN RUSSIA

Aviation ◽  
2007 ◽  
Vol 11 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Tatiana O. Blinova
Keyword(s):  
Neural Network ◽  
Transport Network ◽  
Air Transport ◽  
Investment Efficiency ◽  
Traffic Flows ◽  
Network Approach ◽  
Passenger Transport ◽  
Neural Network Approach ◽  
Passenger Traffic

At present the problem of forecasting passenger transport demand is of immense importance for air transport producers as well as for investors since investment efficiency is greatly affected by the accuracy and adequacy of the estimation performed. The aim of the present research is to analyze the possibility of using a neural network approach to forecast the expansion of the air‐transport network in Russia.

scholarly journals Robustness of China’s air transport network from 1975 to 2017

2020 ◽  
Vol 539 ◽  
pp. 122876 ◽  
Author(s):  
Yu Chen ◽  
Jiaoe Wang ◽  
Fengjun Jin
Keyword(s):  
Transport Network ◽  
Air Transport

Exploration of the global air transport network using social network analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nikhilesh Prabhakar ◽  
L. Jani Anbarasi
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Transport Network ◽  
Air Transport

Choosing Destinations of Medium and Small Airports

2012 ◽  
Vol 178-181 ◽  
pp. 1915-1922
Author(s):  
Yun Qian Qu ◽  
Jin Fu Zhu
Keyword(s):  
Case Analysis ◽  
Air Transport ◽  
Set Pair Analysis ◽  
Passenger Traffic ◽  
Intense Competition ◽  
Pair Analysis

Usually the major airports have lots of air routes and scheduled flights. The intense competition turns passengers and cargoes of air transport to the major airports in a multi-airport system. It takes operating loss to many medium and small airports. From the view of airports, this paper analyzed the important factors of choosing destinations, and proposed a new indicator - air passenger traffic correlation. Finally, the optional destinations were collocated with the method of the Set Pair Analysis (SPA). Through the case analysis of Wuxi airport, the validity of method in this paper was verified. It provided the basis to choose destinations for medium and small airports.

First report of imported case of dengue fever in Republic of Serbia

2016 ◽  
Vol 14 (1) ◽  
pp. 60-61 ◽  
Author(s):  
Vladimir Petrović ◽  
Vesna Turkulov ◽  
Svetlana Ilić ◽  
Vesna Milošević ◽  
Mladen Petrović ◽  
...  
Keyword(s):  
Dengue Fever ◽  
First Report ◽  
Imported Case

scholarly journals DEVELOPING INDICATORS FOR CAPTURING THE AIRPORTS DYNAMICS IN REGIONAL AND TOURISM DEVELOPMENT: EVIDENCE FROM GREECE

2020 ◽  
Vol 11 (1) ◽  
pp. 31-46
Author(s):  
Dimitrios Tsiotas ◽  
Spyros Niavis ◽  
Serafeim Polyzos ◽  
Artemis Papageorgiou
Keyword(s):  
Regional Development ◽  
Composite Index ◽  
Tourism Development ◽  
International Markets ◽  
Air Transport ◽  
Passenger Traffic ◽  
Transport Studies ◽  
Tourism Information ◽  
Regional Airports ◽  
National Economies

Air transport is an aspect of the transportation and communication sector, it is a capital and technology intensive component of the national economies, and it plays an important role in communication and trade, in tourism development, and generally in the economic and regional development. The major role of air transport in the support of distant communication makes it a valuable tool for the strategic planning and innovative marketing in tourism, especially for tourism policies addressed to international markets. Within this context, this paper studies air transport in Greece and particularly the regional dimension of the Greek air transport, by excluding the metropolitan airports of Athens and Thessaloniki. The paper examines the factors that determine the attractiveness of the Greek regional airports on data referring to air traffic statistics and on available spatial and tourism information. For measuring the dynamics of the regional airports in Greece in regional development, the paper introduces a composite index, which computes passenger-traffic change between time periods by considering an airports’ classification. Next, for measuring the airport dynamics in tourism development, an index is introduced in terms of the international arrivals and overnights per region. The results of applying the proposed indices comply with the observations of the common practice and they seem sufficient to be used in other areas of application. The overall approach provides a novel measure for air transport studies and it illustrates the contribution of the small and regional airports to tourism and regional development in Greece.

scholarly journals Predicting dengue importation into Europe, using machine learning and model-agnostic methods

2019 ◽  
Author(s):  
Donald Salami ◽  
Carla Alexandra Sousa ◽  
Maria do Rosário Oliveira Martins ◽  
César Capinha
Keyword(s):  
Machine Learning ◽  
Operating Characteristic ◽  
Predictive Accuracy ◽  
Predictive Performance ◽  
Machine Learning Algorithms ◽  
Transport Network ◽  
Air Transport ◽  
Health Concern ◽  
Centrality Measures ◽  
Network Centrality

ABSTRACTThe geographical spread of dengue is a global public health concern. This is largely mediated by the importation of dengue from endemic to non-endemic areas via the increasing connectivity of the global air transport network. The dynamic nature and intrinsic heterogeneity of the air transport network make it challenging to predict dengue importation.Here, we explore the capabilities of state-of-the-art machine learning algorithms to predict dengue importation. We trained four machine learning classifiers algorithms, using a 6-year historical dengue importation data for 21 countries in Europe and connectivity indices mediating importation and air transport network centrality measures. Predictive performance for the classifiers was evaluated using the area under the receiving operating characteristic curve, sensitivity, and specificity measures. Finally, we applied practical model-agnostic methods, to provide an in-depth explanation of our optimal model’s predictions on a global and local scale.Our best performing model achieved high predictive accuracy, with an area under the receiver operating characteristic score of 0.94 and a maximized sensitivity score of 0.88. The predictor variables identified as most important were the source country’s dengue incidence rate, population size, and volume of air passengers. Network centrality measures, describing the positioning of European countries within the air travel network, were also influential to the predictions.We demonstrated the high predictive performance of a machine learning model in predicting dengue importation and the utility of the model-agnostic methods to offer a comprehensive understanding of the reasons behind the predictions. Similar approaches can be utilized in the development of an operational early warning surveillance system for dengue importation.

The Role of Regional Airports in Connectivity and Regional Development

2021 ◽  
Author(s):  
Oscar Díaz Olariaga
Keyword(s):  
Economic Development ◽  
Regional Development ◽  
Socioeconomic Development ◽  
Transport Network ◽  
Air Transport ◽  
Investment Policies ◽  
Air Transport Industry ◽  
Social And Economic Development ◽  
Regional Airports

This article analyzes the contribution of regional airports in Colombia to the development of the domestic air transport network, and with it, to the connectivity of the regions and their social and economic development. The growth and evolution of Colombian regional airports are supported and driven by a set of public and investment policies, designed exclusively for the air sector and implemented, almost continuously, since the liberalization of the air transport industry in the country in the early 1990s and are still in development. Having said this, this work analyzes how the network of regional airports have been able to develop in two and a half decades through public policies, and later, how these airports have positively impacted connectivity and socioeconomic development in the territories. All this is done through the presentation and analysis of related indicators.

Struttura competitiva dopo la crisi Alitalia: il caso dela tratta Milano-Roma

2009 ◽  
pp. 167-178
Author(s):  
Giovanna Campopiano ◽  
Josip Kotlar ◽  
Andrea Salanti
Keyword(s):  
Price Competition ◽  
High Speed ◽  
Substantial Reduction ◽  
Air Travel ◽  
Air Transport ◽  
High Speed Rail ◽  
Passenger Traffic ◽  
Transport Services ◽  
Real Price

Air travel routes and high speed rail connection between Milan and Rome after the Alitalia crisis This paper analyses the first available data about changes in passenger traffic and air/rail fares after the Alitalia crisis and the substantial reduction of the travel time between Milan and Rome, due to the improvement of high speed rail on this connection. As recently happened in similar cases within Europe, the rail has gained a significant share of traffic previously attracted by air transport services. Apart from that, a real price competition is prevented by a number of inefficiencies which are mainly due to the monopolistic position of the new Alitalia on the route Milan Linate-Rome Fiumicino and problems of accessibility affecting our airports, and partly our rail stations too. The role of the various authorities potentially involved is burdened, in the last instance, by infrastructural deficiencies.

The African air transport network

2017 ◽  
pp. 40-60
Author(s):  
Davide Scotti ◽  
Gianmaria Martini ◽  
Stefano Leidi ◽  
Kenneth J. Button
Keyword(s):  
Transport Network ◽  
Air Transport
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