The Schisto Track: A System for Gathering and Monitoring Epidemiological Surveys by Connecting Geographical Information Systems in Real Time

Neto, Onicio Batista Leal; Albuquerque, Cesar M.; Albuquerque, Jones; Barbosa, Constança Simões

doi:10.2196/mhealth.2859

Cited by 11 publications

(8 citation statements)

References 18 publications

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“…Research Center Technology in Care 3. CAPHRI School for Public Health and Primary Care, Department of General Practice Leal Neto et al [ 80 ] Technological development Journal Of Medical Internet Research mHealth and uHealth Not indexed Not indexed – 0 1. Aggeu Magalhaes Research Center 2.…”

Section: Resultsmentioning

confidence: 99%

“…It emphasizes the need to develop apps under an user-centred model. No clinical results are shown Paper 72: The schisto track: a system for gathering and monitoring epidemiological surveys by connecting geographical information systems in real time Leal Neto et al [ 80 ] The document shows us the development and main features of the app “Schisto Track”, created to facilitate the data collection on schistosomiasis. The app proved to be helpful to automate the activity, organizing data, retrieving, etc., so their use is recommended.…”

Section: Resultsmentioning

confidence: 99%

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The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review

et al. 2016

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BackgroundSeveral studies have estimated the potential economic and social impact of the mHealth development. Considering the latest study by Institute for Healthcare Informatics, more than 165.000 apps of health and medicine are offered including all the stores from different platforms. Thus, the global mHealth market was an estimated $10.5 billion in 2014 and is expected to grow 33.5 percent annually between 2015 and 2020s. In fact, apps of Health have become the third-fastest growing category, only after games and utilities.MethodsThis study aims to identify, study and evaluate the role of interdisciplinary research teams in the development of articles and applications in the field of mHealth. It also aims to evaluate the impact that the development of mHealth has had on the health and computer science field, through the study of publications in specific databases for each area which have been published until nowadays.ResultsInterdisciplinary nature is strongly connected to the scientific quality of the journal in which the work is published. This way, there are significant differences in those works that are made up by an interdisciplinary research team because of they achieve to publish in journals with higher quartiles. There are already studies that warn of methodological deficits in some studies in mHealth, low accuracy and no reproducibility. Studies of low precision and poor reproducibility, coupled with the low evidence, provide low degrees of recommendation of the interventions targeted and therefore low applicability.ConclusionsFrom the evidence of this study, working in interdisciplinary groups from different areas greatly enhances the quality of research work as well as the quality of the publications derived from its results.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review

et al. 2016

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“…Participatory surveillance has been a reality in many parts of the world, improving traditional health surveillance systems and engaging the population to build epidemiological scenarios [1][2][3][4][5][6][7][8]. The use of mobile devices to improve the data collection, processing, and analysis processes for epidemiology and surveillance has contributed to great advances in public health in the aspects of innovation and digital transformation in this area [9][10][11][12][13][14][15]. With the evolution and ubiquity of mobile devices and their operating systems, in addition to increasing digital inclusion and internet connectivity, research and collaborative strategies have been adopted to improve the quality of information generated in health, especially in the understanding of epidemiological patterns [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study

Neto

Cruz

Albuquerque³

et al. 2020

JMIR Public Health Surveill

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Background With the evolution of digital media, areas such as public health are adding new platforms to complement traditional systems of epidemiological surveillance. Participatory surveillance and digital epidemiology have become innovative tools for the construction of epidemiological landscapes with citizens’ participation, improving traditional sources of information. Strategies such as these promote the timely detection of warning signs for outbreaks and epidemics in the region. Objective This study aims to describe the participatory surveillance platform Guardians of Health, which was used in a project conducted during the 2016 Olympic and Paralympic Games in Rio de Janeiro, Brazil, and officially used by the Brazilian Ministry of Health for the monitoring of outbreaks and epidemics. Methods This is a descriptive study carried out using secondary data from Guardians of Health available in a public digital repository. Based on syndromic signals, the information subsidy for decision making by policy makers and health managers becomes more dynamic and assertive. This type of information source can be used as an early route to understand the epidemiological scenario. Results The main result of this research was demonstrating the use of the participatory surveillance platform as an additional source of information for the epidemiological surveillance performed in Brazil during a mass gathering. The platform Guardians of Health had 7848 users who generated 12,746 reports about their health status. Among these reports, the following were identified: 161 users with diarrheal syndrome, 68 users with respiratory syndrome, and 145 users with rash syndrome. Conclusions It is hoped that epidemiological surveillance professionals, researchers, managers, and workers become aware of, and allow themselves to use, new tools that improve information management for decision making and knowledge production. This way, we may follow the path for a more intelligent, efficient, and pragmatic disease control system.

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“…For example, Leal Neto et al (2014) developed a real-time diagnostic system for epidemiological events simulations [6]. Medical imaging has also been used successfully in the diagnosis of diseases.…”

Section: Introductionmentioning

confidence: 99%

“…In recent decades, a number of researchers, including those from computing areas, have sought cost-effective solutions to assist health professionals in the control of epidemics and diseases. For example, Leal Neto et al (2014) developed a real-time diagnostic system for epidemiological events simulations [ 6 ]. Medical imaging has also been used successfully in the diagnosis of diseases.…”

Section: Introductionmentioning

confidence: 99%

The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis

Oliveira¹,

Prats²,

Espasa³

et al. 2017

JMIR Res Protoc

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BackgroundMalaria is a public health problem that affects remote areas worldwide. Climate change has contributed to the problem by allowing for the survival of Anopheles in previously uninhabited areas. As such, several groups have made developing news systems for the automated diagnosis of malaria a priority.ObjectiveThe objective of this study was to develop a new, automated, mobile device-based diagnostic system for malaria. The system uses Giemsa-stained peripheral blood samples combined with light microscopy to identify the Plasmodium falciparum species in the ring stage of development.MethodsThe system uses image processing and artificial intelligence techniques as well as a known face detection algorithm to identify Plasmodium parasites. The algorithm is based on integral image and haar-like features concepts, and makes use of weak classifiers with adaptive boosting learning. The search scope of the learning algorithm is reduced in the preprocessing step by removing the background around blood cells.ResultsAs a proof of concept experiment, the tool was used on 555 malaria-positive and 777 malaria-negative previously-made slides. The accuracy of the system was, on average, 91%, meaning that for every 100 parasite-infected samples, 91 were identified correctly.ConclusionsAccessibility barriers of low-resource countries can be addressed with low-cost diagnostic tools. Our system, developed for mobile devices (mobile phones and tablets), addresses this by enabling access to health centers in remote communities, and importantly, not depending on extensive malaria expertise or expensive diagnostic detection equipment.

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The Schisto Track: A System for Gathering and Monitoring Epidemiological Surveys by Connecting Geographical Information Systems in Real Time

Cited by 11 publications

References 18 publications

The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review

The role of interdisciplinary research team in the impact of health apps in health and computer science publications: a systematic review

Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study

The Malaria System MicroApp: A New, Mobile Device-Based Tool for Malaria Diagnosis

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