ANKOS Mobile – A System for Collecting and Monitoring Epidemiological Surveys Interconnecting GIS with Real-Time Information
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Abstract
Background: The use of the Android platform has been a new alternative for computerization of epidemiological studies: facilitates the process of data collection in the field, reduces errors, and enables remote communication instantaneous, houses a database virtual online. Advances between operating systems, computing platforms, programming languages and development frameworks are integrating and being reapplied to mobile devices enabling adaptations in health, improving conducting epidemiological investigations that provide answers and scenarios for resolving public health problems. The research group Epi Schisto Risk Modeling (www.epischisto.org) has been working on developing a tool for collecting epidemiological data on schistosomiasis, using the Android platform to invest in the design of equipment to be used also by health services, equipping and optimizing the routine of the sectors of health surveillance in remote transmission processes, geo-referencing and analyzing data related to epidemiological surveys.
Objective: The aim of this study was to construct and present a tool to be used in epidemiological surveys to perform the collection and transmission of data in real time, aligning emerging technologies and their application in public health and promoting greater safety and speed in the consolidation and storage of data. The "schistosomiasis model" was used to build this tool whose system was fed with all variables (biological, environmental and operational) used in an epidemiological survey, which were related to the parasite, the vector mollusk and human cases.
Methods: Produced a set of mobile application and server, has its construction designed to meet the needs of an traditional epidemiological survey in schistosomiasis. To this was planned in four segments: registration of households / individuals; registration of breeding sites; querying data recorded; logging trails traversed, where the first two use the model database SQL Lite. This database was fed variables validated in other epidemiological surveys that were aimed at identifying outbreaks of vector snails, diagnosing human cases and spatialize information related to the occurrence of schistosomiasis. The web server uses MySQL database and the content is host on cloud computing.
Results: The ANKOS-Mobile shows up as a tool capable of automating activities, organize and standardize data, easy retrieval of information, allow interface with other systems, besides having a fully modular architecture. It has integration with Google Maps, is available to all sites that can be accessed for free by developers and users, facilitating the visualization of spatial information.
Conclusions: The application ANKOS-Mobile joins the practicality of a low-cost and easy to use with the importance of a public health tool that aims to improve the processes of data capture space-environmental diagnosis and epidemiological surveys. Currently, validation of this application is in progress, the development of a large-scale epidemiological survey in order to refine and validate this tool by correcting any mistakes and failures. In epidemiology, it is an instrument applicable to other disease models, providing an alternative for the improvement of routine surveillance services and health care.
Objective: The aim of this study was to construct and present a tool to be used in epidemiological surveys to perform the collection and transmission of data in real time, aligning emerging technologies and their application in public health and promoting greater safety and speed in the consolidation and storage of data. The "schistosomiasis model" was used to build this tool whose system was fed with all variables (biological, environmental and operational) used in an epidemiological survey, which were related to the parasite, the vector mollusk and human cases.
Methods: Produced a set of mobile application and server, has its construction designed to meet the needs of an traditional epidemiological survey in schistosomiasis. To this was planned in four segments: registration of households / individuals; registration of breeding sites; querying data recorded; logging trails traversed, where the first two use the model database SQL Lite. This database was fed variables validated in other epidemiological surveys that were aimed at identifying outbreaks of vector snails, diagnosing human cases and spatialize information related to the occurrence of schistosomiasis. The web server uses MySQL database and the content is host on cloud computing.
Results: The ANKOS-Mobile shows up as a tool capable of automating activities, organize and standardize data, easy retrieval of information, allow interface with other systems, besides having a fully modular architecture. It has integration with Google Maps, is available to all sites that can be accessed for free by developers and users, facilitating the visualization of spatial information.
Conclusions: The application ANKOS-Mobile joins the practicality of a low-cost and easy to use with the importance of a public health tool that aims to improve the processes of data capture space-environmental diagnosis and epidemiological surveys. Currently, validation of this application is in progress, the development of a large-scale epidemiological survey in order to refine and validate this tool by correcting any mistakes and failures. In epidemiology, it is an instrument applicable to other disease models, providing an alternative for the improvement of routine surveillance services and health care.
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