Agriculture
August 31, 2020
Updated on December 6, 2022
·Created on December 6, 2022
SORMAS is a free solution to improve prevention and control of communicable diseases in resource-poor settings.
SORMAS (Surveillance Outbreak Response Management & Analysis System) is the digital solution for Mobile Health (mHealth) and e-Healthcare (eHealth) surveillance for epidemics worldwide. It covers infectious diseases from COVID-19 to Ebola and provides digital infrastructure for timely management and control measures to verify disease cases.
Distributors / Implementing Organizations
Manufacturing/Building Method
Open-source software created as a code by software developers.
Intellectural Property Type
Open Source
User Provision Model
By contacting the team directly for procurement; direct download for demo version.
Distributions to Date Status
In 2016, SORMAS was migrated into an open-source software application. This fulfills the objective to ensure a sustainable software product independent from IT companies but that can be used within the software community to develop the health sector goals. The following are some use cases to date:
Design Specifications
SORMAS has been developed on VAADIN framework, JAVA EE Server Payara, PostgreSQL Database, REST-API, VAADIN web client application. SORMAS can be used on desktop computers, tablets and mobile phones, both online and offline. It offers 10 different menus, including one for cases, contacts, tasks or a dashboard. Different user roles ensure data protection of cases and contacts and the connection between different public health institutes such as hospitals, labs and surveillance officers. The following are some design specifications:
Technical Support
Replacement Components
N/A
Lifecycle
N/A
Manufacturer Specified Performance Parameters
None
Vetted Performance Status
Successfully tested in 84 private and public hospitals in Nigeria. SORMAS prototype was distributed in 84 private and public health institutions in two states of Nigeria. In July 2015, data was collected and entered about cholera, measles and highly pathogenic avian influenza. In addition, a simulation of a complex Ebola outbreak was performed.
Safety
N/A
Complementary Technical Systems
No
Academic Research and References
Silenou, B. C., Nyirenda, J. L. Z., Zaghloul, A., Lange, B., Doerrbecker, J., Schenkel, K., & Krause, G., 2021, “Availability and Suitability of Digital Health Tools in Africa for Pandemic Control: Scoping Review and Cluster Analysis”, JMIR Public Health Surveill, 7(12), e30106. doi:10.2196/30106
Tom-Aba, D., Silenou, B. C., Doerrbecker, J., Fourie, C., Leitner, C., Wahnschaffe, M., . . . Krause, G., 2020, “The Surveillance Outbreak Response Management and Analysis System (SORMAS): Digital Health Global Goods Maturity Assessment”, JMIR Public Health Surveill, 6(2), e15860. doi:10.2196/15860
Silenou, B. C., Tom-Aba, D., Adeoye, O., Arinze, C. C., Oyiri, F., Suleman, A. K., . . . Krause, G., 2020, “Use of Surveillance Outbreak Response Management and Analysis System for Human Monkeypox Outbreak, Nigeria, 2017-2019”, Emerg Infect Dis, 26(2), 345-349. doi:10.3201/eid2602.191139
Yavlinsky A, Lule SA, Burns R et al., 2020, “Mobile-based and open-source case detection and infectious disease outbreak management systems: a review”, Wellcome Open Res 2020, 5:37
Kassim I., Arinze C., Tom-Aba D., Adeoye O., Ihekweazu C., McHugh T D., Abubakar I., Krause G., Mwakasungula S., Masanja H., and Aldridge R W., 2020, “Mobile-based and open-source infectious disease surveillance and outbreak management in Tanzania”, European Journal of Public Health, Volume 30, Issue Supplement_5, ckaa166.1347
Yinka-Ogunleye, A., Aruna, O., Dalhat, M., Ogoina, D., Krause, G., Disu, Y., . . . Team, C. D. C. M. O., 2019, “Outbreak of human monkeypox in Nigeria in 2017-18: a clinical and epidemiological report”, Lancet Infect Dis, 19(8), 872-879. doi:10.1016/S1473-3099(19)30294-4
Tom-Aba, D., Nguku, P. M., Arinze, C. C., & Krause, G., 2018, “Assessing the Concepts and Designs of 58 Mobile Apps for the Management of the 2014-2015 West Africa Ebola Outbreak: Systematic Review”, JMIR Public Health Surveill, 4(4), e68. doi:10.2196/publichealth.9015
Tom-Aba, D., Toikkanen, S. E., Glockner, S., Adeoye, O., Mall, S., Fahnrich, C., . . . Krause, G., 2018., “User Evaluation Indicates High Quality of the Surveillance Outbreak Response Management and Analysis System (SORMAS); After Field Deployment in Nigeria in 2015 and 2018”, Stud Health Technol Inform, 253, 233-237. doi:10.3233/978-1-61499-896-9-233
Toikkanen, S. E., Adeoye, O., Ameh, C., Glöckner, S., Poggensee, G., & Krause, G., 2017, “Piloting SORMAS (Surveillance Outbreak Response Management and Analysis System): Association between task execution time and user feedback”, Das Gesundheitswesen, 79(08/09), 656-804. doi:10.1055/s-0037-1605995
Fähnrich C, Denecke K, Adeoye O O, Benzler J, Claus H, Kirchner G, Mall S, Richter R, Schapranow M P, Schwarz NG, Tom-Aba D, Uflacker M, Poggensee G, Krause G., 2015, “Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa”; Euro Surveill. 2015;20(12):pii=21071
Compliance with regulations
SORMAS adheres to international data standards (e.g. HL7 FHIR) and enhances technical and contextual interoperability with LIMS, NCDC, dhis2, eIDSR, Africa CDC, WHO etc. Public health agency running SORMAS is in charge of data security and data protection and has to ensure compliance with national data protection and data security regulations in their respective jurisdiction.
Other Information
Covers acute flaccid paralysis, anthrax, COVID-19, cholera, congenital rubella, dengue fever, Ebola virus disease, guinea worm, human rabies, influenza, lassa, malaria, measles, meningitis (CSM), monkey pox, plague, poliomyelitis, unspecified VHF, yellow fever.
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