Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization

Wei, Lilian Lee Yen; Ibrahim, Ag Asri Ag; Nisar, Kashif; Ismail, Zamhar Iswandono Bin Awang; Welch, Ian

doi:10.1016/j.jii.2020.100139

Cited by 18 publications

(8 citation statements)

References 39 publications

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“…e IoT feature will gather all data, i.e., images of construction sites from a scalable network over a complex and large site to enable these algorithms so that the defects and progress can easily be identified. e term "diversity" indicates the different applications based on several sensors and geographic visual display techniques [80] that automate any procedure of IoT. If the sensors do not perform well or have time delay in sensing the physical data or capturing images with low-resolution in our case, then the outcome will not be reliable enough.…”

Section: Internet Of Things and Its Diversitymentioning

confidence: 99%

Internet of Things (IoT)-Enabled Unmanned Aerial Vehicles for the Inspection of Construction Sites: A Vision and Future Directions

Israr

Abro

Khan

et al. 2021

Mathematical Problems in Engineering

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Today people are witnessing the rapid evolvement in every area. This is because of the emerging trends in communication technology and autonomous unmanned vehicles. These trends have led us towards the high standards of health, energy, transportation, monitoring, and surveillance of huge domestic and industrial projects. Thus, this review paper presents the integration of the latest trend in communication technology, i.e., Internet of things (IoT) with unmanned aerial vehicles (UAVs). This manuscript not only reviews the use of IoT-enabled unmanned aerial vehicles for inspecting the several construction sites but also emphasizes the utilization of such IoT-enabled autonomous aerial vehicles for ensuring the health and safety measures at the site. It discusses the major limitations and shortcomings of state-of-the-art techniques for the same purpose, i.e., optimization issues in path planning, lightweight artificial intelligence (AI) and computer vision algorithms, coordination in communication using IoT, and scalability of IoT network. Thus, this paper shall help the reader to explore different open research problems in-depth.

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Section: Internet Of Things and Its Diversitymentioning

confidence: 99%

Internet of Things (IoT)-Enabled Unmanned Aerial Vehicles for the Inspection of Construction Sites: A Vision and Future Directions

Israr

Abro

Khan

et al. 2021

Mathematical Problems in Engineering

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“…O estudo conduzido por Wei et al [Wei et al 2020] teve como objetivo analisar duas categorias de pesquisa: Cartografia Tradicional e Geo-visualizac ¸ão. O objetivo era identificar os problemas e questões quando essas ferramentas são usadas, concentrando-se na comparac ¸ão de aspectos relacionados à cognic ¸ão, adaptabilidade e usabilidade.…”

Section: Trabalhos Relacionadosunclassified

Interação Humano-Dados: Análise de Dados no contexto de geoprocessamento

Capeleti,

Freire,

Santos

et al. 2023

Anais Do II Workshop Investigações Em Interação Humano-Dados (WIDE 2023)

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Dados têm se tornado um artefato cada vez mais comum no dia a dia. No que diz respeito ao geoprocessamento, ferramentas com essa característica têm sido utilizadas para disponibilizar informações de interesse público no Brasil. Dessa forma, considerando que usuários de diferentes níveis de conhecimento podem interagir com os dados, se torna essencial garantir a qualidade dessa interação. Este estudo apresenta duas avaliações heurísticas realizadas com sistemas de geoprocessamento com dados públicos do governo brasileiro, a fim de identificar as principais fontes dos problemas de usabilidade e propor categorias que representem as causas dos problemas de usabilidade no contexto da interação humano-dados em geoprocessamento.

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“…As noted above, spatial elements have been an integral part of epidemiological work since the establishment of the discipline in its current form, supporting the key analytical tasks of discovering disease clusters, predicting disease spread, monitoring exposures, analysing location-related social determinants of health (such as environmental changes, neighbourhood infrastructure and socioeconomic demographics), and assessing the effects of public health interventions. Lately, technologies that enable large-scale data collection, including but not limited to crowd-sourcing, social media analysis, citizen science, and mobile collaborative tools have started to enjoy more widespread use in spatial epidemiology [46]. While these tools have enjoyed popularity in the visualization and data science community and their potential has been acknowledged in spatial epidemiology, concerns remain about incompleteness, inconsistency and bias issues that often affect data acquired through these tools [13].…”

Section: Interactive Maps In Epidemiologymentioning

confidence: 99%

Temporal and Spatial Elements in Interactive Epidemiological Maps

Luz¹,

Masoodian²

2022

Preprint

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Maps have played an important role in epidemiology and public health since the beginnings of these disciplines. With the advent of geographical information systems and advanced information visualization techniques, interactive maps have become essential tools for the analysis of geographical patterns of disease incidence and prevalence, as well as communication of public health knowledge, as dramatically illustrated by the proliferation of web-based maps and disease surveillance "dashboards" during the COVID-19 pandemic. While such interactive maps are usually effective in supporting static spatial analysis, support for spatial epidemiological visualization and modelling involving distributed and dynamic data sources, and support for analysis of temporal aspects of disease spread have proved more challenging. Combining these two aspects can be crucial in applications of interactive maps in epidemiology and public health work. In this paper, we discuss these issues in the context of support for disease surveillance in remote regions, including tools for distributed data collection, simulation and analysis, and enabling multidisciplinary collaboration.

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Survey on geographic visual display techniques in epidemiology: Taxonomy and characterization

Cited by 18 publications

References 39 publications

Internet of Things (IoT)-Enabled Unmanned Aerial Vehicles for the Inspection of Construction Sites: A Vision and Future Directions

Internet of Things (IoT)-Enabled Unmanned Aerial Vehicles for the Inspection of Construction Sites: A Vision and Future Directions

Interação Humano-Dados: Análise de Dados no contexto de geoprocessamento

Temporal and Spatial Elements in Interactive Epidemiological Maps

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