MR-COV 19: ANDROID-BASED COVID-19 RISK PREDICTION APPLICATION WITH SENSITIVITY AND SPECIFICITY TESTS

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Published: Dec 30, 2022
DOI: https://doi.org/10.34011/icihcce.v4i1.234
Keywords:
M-Cov 19 prediction Covid-19

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Muchsin Riviwanto
Poltekkes Kemenkes Padang
Burhan Muslim
Poltekkes Kemenkes Padang
Wijayantono Wijayantono
Poltekkes Kemenkes Padang

Abstract

Background. Therefore, the development and use of accurate predictors of susceptibility for COVID-19 prognosis will be beneficial for COVID-19 risk management, and will help reduce case and mortality rates. The aim of this researcher is to build an Android-based MR-Cov-19 application in order to reduce the impact of the spread of disease and increase community resilience against COVID-19.


Method. This study uses the prototype method in designing and building applications. To test this application, researchers conducted an android-based MR-Cov-19 screening test on 30 communities for self-assessment and 30 for institutional assessment in Padang City from July to August 2022, whose data were then tested for validity and reliability. This method is a 2x2 tabulation diagnostic confirmation tool that produces sensitivity, specificity, predictive value, and prevalence


Result. The MR-Cov19 application can determine the risk of covid-19. The MR-Cov19 application has been tested for validity and reliability using the android-based MR-Cov 19 test with 77.8% and 71.4% results. Based on the Positive Predictive Value (NPP) test, the results show 53.8% and the Negative Predictive Value (NPN) 88.2%, meaning that the NPP value is lower than the NPN


 


Conclusion. This MR-Cov19 application was built using android studio programming which can detect an individual at risk of covid-19. This android-based EPDS design has a home screen form design, a questionnaire form design and a result form design. This application displays results based on the multiplication of weights and scores for vulnerability, exposure, sensitivity and adaptive capacity.

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Issue
Vol. 4 No. 1 (2022): Proceeding of The 5th International Conference on Interprofessional Health Collaboration and Community Empowerment
Section
Proceeding

References

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