Web GIS-Based Public Health Surveillance Systems:  A Systematic Review

Luan, Hui; Law, Jane

doi:10.3390/ijgi3020481

Cited by 28 publications

(27 citation statements)

References 66 publications

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“…Sampling bias can occur due to inverted sampling [6,8,56] and due to self–reported data [8]. Luan and Law reported cultural and geographical biases in GIS data reviewed [19]. Additionally, there is likely to be biased samples in comparison to the general population with regards to income, literacy, age, access to technology and values [19,56].…”

Section: Discussionmentioning

confidence: 99%

“…Logistical issues cited were specific to platforms or types of crowdsourcing and included troubles with languages and file formats when data mining, trouble with battery life usage, competing with prioritisation of other application on mobile devices, and privacy for ubiquitous computing (sensors in mobile devices) [19] and for AMT, not having proof of payment for work completed and institutional issues gaining approval [3]. In addition, funding being non–traditional was identified as a barrier for all crowdsourcing research [8].…”

Section: Discussionmentioning

confidence: 99%

“…Cell phones, for example, can collect photo, video, acoustic, gyroscopic, acccelerometric and proximal information and can also be used to add pairing devices to collect additional information, such as pollution sensors [16]. Crowdsourced spatial analysis from GIS data can be very useful, especially for providing resources in emergency situations, for delivering logistics and for efficient targeting of interventions [19]. …”

mentioning

confidence: 99%

“…Crowdsourcing has considerable benefits in research, as it has the potential to substantially lower costs while massively increasing the sample size and researchers can receive the data in real–time [7,16,19,27–29]. Because of these qualities, crowdsourcing has potential to improve global health research.…”

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confidence: 99%

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Crowdsourcing’s ten years in: A review

Wazny¹

2017

Journal of Global Health

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BackgroundFirst coined by Howe in 2006, the field of crowdsourcing has grown exponentially. Despite its growth and its transcendence across many fields, the definition of crowdsourcing has still not been agreed upon, and examples are poorly indexed in peer–reviewed literature. Many examples of crowdsourcing have not been scaled–up past the pilot phase. In spite of this, crowdsourcing has great potential, especially in global health where resources are lacking. This narrative review seeks to review both indexed and grey crowdsourcing literature broadly in order to explore the current state of the field.MethodsThis is a review of reviews of crowdsourcing. Semantic searches were conducted using Google Scholar rather than indexed databases due to poor indexing of the topic. 996 articles were retrieved, of which 69 were initially identified as being reviews or theoretically–based. 21 of these were found to be irrelevant and 48 articles were reviewed.ResultsThis narrative review focuses on defining crowdsourcing, taxonomies of crowdsourcing, who constitutes the crowd, research that is amenable to crowdsourcing, regulatory and ethical aspects of crowdsourcing and some notable examples of crowdsourcing.ConclusionsCrowdsourcing has the potential to be hugely promising, especially in global health, due to its ability to collect information rapidly, inexpensively and accurately. Rigorous ethical and regulatory controls are needed to ensure data are collected and analysed appropriately and crowdsourcing should be considered complementary to traditional research methods.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Crowdsourcing’s ten years in: A review

Wazny¹

2017

Journal of Global Health

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“…By desktop GIS software, the user usually needs to buy the software and learn how to use general tools and facilities of GIS software for doing query and spatial analysis. However, WebGIS helps users to access data in any place and time and apply the analysis using required functions with no need to install any GIS software (3). …”

Section: Introductionmentioning

confidence: 99%

Developing a WebGIS for Geo-Visualization of Cancer

et al. 2016

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BackgroundConsidering the hygiene facilities and sharing the data of diseases, considerable attempts to promote the public awareness have been made by various media; however, most of the provided information is based on numerical and verbal statistics, and may not provide suitable understanding for people in regard with the situation of diseases.ObjectivesThe main aim of this study is to design an interactive WebGIS system in which people could simply produce and observe their favorite maps of different cancers and environmental parameters. They can use this tools to produce their personalized maps and explore various aspects of the cancer.Materials and MethodsA system has been developed by using WebGIS for convenience of ordinary users without any knowledge about geospatial information system (GIS) to observe the situation of the diseases and environmental conditions in terms of static and user-produced interactive maps. It has also provided the possibility of spatial comparison of the arbitrary parameters in the framework of bar and pie diagrams. This system has been designed and launched on cancer database of Iran where information of meteorological stations has been embedded as environmental parameters.ResultsThe innovative idea in this study has received less attention in previous works including possibility of producing web-based Choropleth map so that users could easily select the parameters and algorithms for classification and interactive coloring in the system to produce their personalized maps.ConclusionsDevelopment of WebGIS tools and increased cooperation of people in terms of inserting the spatial labels on the map to report a disease or using their views about reasons of occurring a specific cancer in a specific region may cause turning the process of mono-direction flow of information to users to a bi-directional flow of information. As a result, cancer specialists could use the knowledge of local people and residents of different regions of the country to better analyze the situation of various kinds of cancers.

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Open Source GIS and Kala-azar Transmission

Bhunia

Shit²

2020

Spatial Mapping and Modelling for Kala-Azar Disease

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Web GIS-Based Public Health Surveillance Systems: A Systematic Review

Cited by 28 publications

References 66 publications

Crowdsourcing’s ten years in: A review

Crowdsourcing’s ten years in: A review

Developing a WebGIS for Geo-Visualization of Cancer

Open Source GIS and Kala-azar Transmission

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