Literature DB >> 33687334

A Mobile App and Dashboard for Early Detection of Infectious Disease Outbreaks: Development Study.

Euijoon Ahn1,2, Na Liu3, Tej Parekh1,4, Ronak Patel1, Tanya Baldacchino2, Tracy Mullavey2, Amanda Robinson5, Jinman Kim1,2.   

Abstract

BACKGROUND: Outbreaks of infectious diseases pose great risks, including hospitalization and death, to public health. Therefore, improving the management of outbreaks is important for preventing widespread infection and mitigating associated risks. Mobile health technology provides new capabilities that can help better capture, monitor, and manage infectious diseases, including the ability to quickly identify potential outbreaks.
OBJECTIVE: This study aims to develop a new infectious disease surveillance (IDS) system comprising a mobile app for accurate data capturing and dashboard for better health care planning and decision making.
METHODS: We developed the IDS system using a 2-pronged approach: a literature review on available and similar disease surveillance systems to understand the fundamental requirements and face-to-face interviews to collect specific user requirements from the local public health unit team at the Nepean Hospital, Nepean Blue Mountains Local Health District, New South Wales, Australia.
RESULTS: We identified 3 fundamental requirements when designing an electronic IDS system, which are the ability to capture and report outbreak data accurately, completely, and in a timely fashion. We then developed our IDS system based on the workflow, scope, and specific requirements of the public health unit team. We also produced detailed design and requirement guidelines. In our system, the outbreak data are captured and sent from anywhere using a mobile device or a desktop PC (web interface). The data are processed using a client-server architecture and, therefore, can be analyzed in real time. Our dashboard is designed to provide a daily, weekly, monthly, and historical summary of outbreak information, which can be potentially used to develop a future intervention plan. Specific information about certain outbreaks can also be visualized interactively to understand the unique characteristics of emerging infectious diseases.
CONCLUSIONS: We demonstrated the design and development of our IDS system. We suggest that the use of a mobile app and dashboard will simplify the overall data collection, reporting, and analysis processes, thereby improving the public health responses and providing accurate registration of outbreak information. Accurate data reporting and collection are a major step forward in creating a better intervention plan for future outbreaks of infectious diseases. ©Euijoon Ahn, Na Liu, Tej Parekh, Ronak Patel, Tanya Baldacchino, Tracy Mullavey, Amanda Robinson, Jinman Kim. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 09.03.2021.

Entities:  

Keywords:  disease notification; infectious disease reporting; mobile app; mobile phone; public health

Year:  2021        PMID: 33687334      PMCID: PMC7988388          DOI: 10.2196/14837

Source DB:  PubMed          Journal:  JMIR Public Health Surveill        ISSN: 2369-2960


  29 in total

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3.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  Ann Intern Med       Date:  2009-07-20       Impact factor: 25.391

4.  SurvNet@RKI--a multistate electronic reporting system for communicable diseases.

Authors:  D Faensen; H Claus; J Benzler; A Ammon; T Pfoch; T Breuer; G Krause
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5.  ISS--an electronic syndromic surveillance system for infectious disease in rural China.

Authors:  Weirong Yan; Lars Palm; Xin Lu; Shaofa Nie; Biao Xu; Qi Zhao; Tao Tao; Liwei Cheng; Li Tan; Hengjin Dong; Vinod K Diwan
Journal:  PLoS One       Date:  2013-04-23       Impact factor: 3.240

Review 6.  Smartphone Applications to Support Tuberculosis Prevention and Treatment: Review and Evaluation.

Authors:  Sarah J Iribarren; Rebecca Schnall; Patricia W Stone; Alex Carballo-Diéguez
Journal:  JMIR Mhealth Uhealth       Date:  2016-05-13       Impact factor: 4.773

7.  Notifiable condition reporting practices: implications for public health agency participation in a health information exchange.

Authors:  Debra Revere; Rebecca H Hills; Brian E Dixon; P Joseph Gibson; Shaun J Grannis
Journal:  BMC Public Health       Date:  2017-03-11       Impact factor: 3.295

8.  Real-time monitoring of school absenteeism to enhance disease surveillance: a pilot study of a mobile electronic reporting system.

Authors:  Saranath Lawpoolsri; Amnat Khamsiriwatchara; Wongwat Liulark; Komchaluch Taweeseneepitch; Aumnuyphan Sangvichean; Wiraporn Thongprarong; Jaranit Kaewkungwal; Pratap Singhasivanon
Journal:  JMIR Mhealth Uhealth       Date:  2014-05-12       Impact factor: 4.773

9.  A real-time medical cartography of epidemic disease (Nodding syndrome) using village-based lay mHealth reporters.

Authors:  Raquel Valdes Angues; Austen Suits; Valerie S Palmer; Caesar Okot; Robert A Okot; Concy Atonywalo; Suzanne K Gazda; David L Kitara; Moka Lantum; Peter S Spencer
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Review 10.  Internet-based surveillance systems for monitoring emerging infectious diseases.

Authors:  Gabriel J Milinovich; Gail M Williams; Archie C A Clements; Wenbiao Hu
Journal:  Lancet Infect Dis       Date:  2013-11-28       Impact factor: 25.071

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1.  Environmental scan of COVID-19 infection dashboards in the Florida public school system.

Authors:  Hye Ryeon Jang; Jordan Quinones-Marrero; Juan M Hincapie-Castillo
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  1 in total

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