Uma análise de aplicativos de rastreamento de contato para identificar casos de Covid-19: um Mapeamento da Literatura Multivocal
Resumo
Este artigo apresenta um Mapeamento Sistemático Multivocal que visa identificar aplicativos desenvolvidos para o contexto da pandemia de Covid-19, bem como os métodos de rastreamento de contatos utilizados por eles e suas principais funcionalidades. O MLM foi conduzido na literatura branca e cinza, totalizando 73 aplicações, sendo 70 aplicativos móveis e três protocolos. Os resultados apontam que os métodos mais utilizados são: bluetooth para rastreamento de contato; notificação pelo usuário para identificar casos positivos; troca de ID temporária para o estabelecimento da rede de contato; e notificação de exposição pelo próprio aplicativo.
Referências
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Bay, J., Kek, J., Tan, A., Hau, C. S., Yongquan, L., Tan, J., and Quy, T. A. (2020). Bluetrace: A privacy-preserving protocol for community-driven contact tracing across borders. [online] [link].
Berke, A., Bakker, M., Vepakomma, P., Raskar, R., Larson, K., and Pentland, A. (2020). Assessing disease exposure risk with location histories and protecting privacy: A cryptographic approach in response to a global pandemic. arXiv preprint arXiv:2003.14412.
Davalbhakta, S., Advani, S., Kumar, S., Agarwal, V., Bhoyar, S., Fedirko, E., Misra, D. P., Goel, A., Gupta, L., and Agarwal, V. (2020). A systematic review of smartphone applications availa ble for corona virus disease 2019 (covid19) and the assessment of their quality using the mobile application rating scale (mars). Journal of Medical Systems, 44:163–165.
Fetzer, T. and Graeber, T. (2020). Does contact tracing work? quasi-experimental evidence from an excel error in england. MedRxiv, https://doi.org/10.1101/2020.12.10.20247080.
Garousi, V., Felderer, M., and Mantyla, M. V. (2019). Guidelines for including grey literature and conducting multivocal literature reviews in software engineering. Information and Software Technology, 106:101–121.
Garousi, V. and Kucuk, B. (2018). Smells in software test code: A survey of knowledge in industry and academia. Journal of Systems and Software, 138:52–81.
Kitchenham, B., Pretorius, R., Budgen, D., Brereton, O. P., Turner, M., Niazi, M., and Linkman, S. (2010). Systematic literature reviews in software engineering–a tertiary study. Information and Software Technology.
Morens, D. M., Daszak, P., and Taubenberger, J. K. (2020). Escaping pandora’s box — another novel coronavirus. New England Journal of Medicine, 382(14):1293–1295.
Ng, P. C., Spachos, P., and Plataniotis, K. N. (2021). Covid-19 and your smartphone: Ble-based smart contact tracing. IEEE Systems Journal.
Simmhan, Y., Rambha, T., Khochare, A., Ramesh, S., Baranawal, A., George, J. V., Bhope, R. A., Namtirtha, A., Sundararajan, A., Bhargav, S. S., et al. (2020). Gocoronago: Privacy respecting contact tracing for covid-19 management. Journal of the Indian Institute of Science, pages 1–24.
Wohlin, C., Runeson, P., Host, M., Ohlsson, M. C., Regnell, B., and Wesslen, A. (2012). Experimentation in Software Engineering, volume 20. Springer.
Bay, J., Kek, J., Tan, A., Hau, C. S., Yongquan, L., Tan, J., and Quy, T. A. (2020). Bluetrace: A privacy-preserving protocol for community-driven contact tracing across borders. [online] [link].
Berke, A., Bakker, M., Vepakomma, P., Raskar, R., Larson, K., and Pentland, A. (2020). Assessing disease exposure risk with location histories and protecting privacy: A cryptographic approach in response to a global pandemic. arXiv preprint arXiv:2003.14412.
Davalbhakta, S., Advani, S., Kumar, S., Agarwal, V., Bhoyar, S., Fedirko, E., Misra, D. P., Goel, A., Gupta, L., and Agarwal, V. (2020). A systematic review of smartphone applications availa ble for corona virus disease 2019 (covid19) and the assessment of their quality using the mobile application rating scale (mars). Journal of Medical Systems, 44:163–165.
Fetzer, T. and Graeber, T. (2020). Does contact tracing work? quasi-experimental evidence from an excel error in england. MedRxiv, https://doi.org/10.1101/2020.12.10.20247080.
Garousi, V., Felderer, M., and Mantyla, M. V. (2019). Guidelines for including grey literature and conducting multivocal literature reviews in software engineering. Information and Software Technology, 106:101–121.
Garousi, V. and Kucuk, B. (2018). Smells in software test code: A survey of knowledge in industry and academia. Journal of Systems and Software, 138:52–81.
Kitchenham, B., Pretorius, R., Budgen, D., Brereton, O. P., Turner, M., Niazi, M., and Linkman, S. (2010). Systematic literature reviews in software engineering–a tertiary study. Information and Software Technology.
Morens, D. M., Daszak, P., and Taubenberger, J. K. (2020). Escaping pandora’s box — another novel coronavirus. New England Journal of Medicine, 382(14):1293–1295.
Ng, P. C., Spachos, P., and Plataniotis, K. N. (2021). Covid-19 and your smartphone: Ble-based smart contact tracing. IEEE Systems Journal.
Simmhan, Y., Rambha, T., Khochare, A., Ramesh, S., Baranawal, A., George, J. V., Bhope, R. A., Namtirtha, A., Sundararajan, A., Bhargav, S. S., et al. (2020). Gocoronago: Privacy respecting contact tracing for covid-19 management. Journal of the Indian Institute of Science, pages 1–24.
Wohlin, C., Runeson, P., Host, M., Ohlsson, M. C., Regnell, B., and Wesslen, A. (2012). Experimentation in Software Engineering, volume 20. Springer.
Publicado
22/05/2023
Como Citar
PEGORINI, Jéssica Iara; SOUZA, Alinne C. Corrêa; SOUZA, Francisco Carlos M.; ALBINI, Luiz Carlos Pessoa.
Uma análise de aplicativos de rastreamento de contato para identificar casos de Covid-19: um Mapeamento da Literatura Multivocal. In: SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 18. , 2023, Rio de Janeiro/RJ.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 101-112.
ISSN 2326-2842.
DOI: https://doi.org/10.5753/sbsc.2023.229090.
