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Zika: A Case Study

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14105))

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Abstract

This manuscript analyzes Zika virus infection KAP among the fleet of Portuguese Navy ships. We developed a statistical ana those who have travelled in ZIKV endemic areas lysis, a cross-sectional study, that divided the study group into distinct groups traveling in ZIKV those travelling in ZIKV endemic areas endemic areas, and those traveling in non-ZIKV endemic areas. The present study evaluates the correct/incorrect answers off a questionnaire about knowledge, attitudes and practices related to Zika infection applied to those who travel to endemic areas of the Zika virus. The level of knowledge about ZIKV shows significant differences between different groups. Preliminary results are similar to other studies showing the need to implement a health education program on Zika infection in advance of possible future Zika virus outbreaks.

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Acknowledgments

This work was supported by Portuguese funds through the Center for Compu-tational and Stochastic Mathematics (CEMAT), The Portuguese Foundation for Science and Technology (FCT), University of Lisbon, Portugal, project UID/Multi/04621/2019, and Center of Naval Research (CINAV), Naval Academy, Portuguese Navy, Portugal.

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Authors and Affiliations

  1. CEMAT - Center for Computational and Stochastic Mathematics, Instituto Superior Técnico, Lisbon University, Lisbon, Portugal

    M. Filomena Teodoro

  2. CINAV - Center for Naval Research, Portuguese Naval Academy, Military University Institute, Portuguese Navy, Almada, Portugal

    M. Filomena Teodoro & João Faria

  3. IHMT, Institute of Hygiene and Tropical Medicine, New University of Lisbon, Lisbon, Portugal

    João Faria

Authors
  1. M. Filomena Teodoro
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  2. João Faria
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Corresponding author

Correspondence to M. Filomena Teodoro .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Basilicata, Potenza, Italy

    Francesco Scorza

  6. University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

  7. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

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Teodoro, M.F., Faria, J. (2023). Zika: A Case Study. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14105. Springer, Cham. https://doi.org/10.1007/978-3-031-37108-0_20

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  • DOI: https://doi.org/10.1007/978-3-031-37108-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37107-3

  • Online ISBN: 978-3-031-37108-0

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