Cargando…
Studying the trend of the novel coronavirus series in Mauritius and its implications
Mauritius stands as one of the few countries in the world to have controlled the current pandemic, the novel coronavirus 2019 (COVID-19) to a significant extent in a relatively short lapse of time. Owing to uncertainties and crisis amid the pandemic, as an emergency announcement, the World Health Or...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351213/ https://www.ncbi.nlm.nih.gov/pubmed/32649713 http://dx.doi.org/10.1371/journal.pone.0235730 |
_version_ | 1783557407959416832 |
---|---|
author | Mamode Khan, Naushad Soobhug, Ashwinee Devi Heenaye-Mamode Khan, Maleika |
author_facet | Mamode Khan, Naushad Soobhug, Ashwinee Devi Heenaye-Mamode Khan, Maleika |
author_sort | Mamode Khan, Naushad |
collection | PubMed |
description | Mauritius stands as one of the few countries in the world to have controlled the current pandemic, the novel coronavirus 2019 (COVID-19) to a significant extent in a relatively short lapse of time. Owing to uncertainties and crisis amid the pandemic, as an emergency announcement, the World Health Organization (WHO) solicits the help of health authorities, especially, researchers to conduct in-depth research on the evolution and treatment of COVID-19. This paper proposes an integer-valued time series model to analyze the series of COVID-19 cases in Mauritius wherein the corresponding innovation term accommodates for covariate specification. In this set-up, sanitary curfew followed by sanitization and sensitization campaigns, time factor and safe shopping guidelines have been tested as the most significant variables, unlike climatic conditions. The over-dispersion estimates and the serial auto-correlation parameter are also statistically significant. This study also confirms the presence of some unobservable effects like the pathological genesis of the novel coronavirus and environmental factors which contribute to rapid propagation of the zoonotic virus in the community. Based on the proposed COM-Poisson mixture models, we could predict the number of COVID-19 cases in Mauritius. The forecasting results provide satisfactory mean squared errors. Such findings will subsequently encourage the policymakers to implement strict precautionary measures in terms of constant upgrading of the current health care and wellness system and re-enforcement of sanitary obligations. |
format | Online Article Text |
id | pubmed-7351213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73512132020-07-22 Studying the trend of the novel coronavirus series in Mauritius and its implications Mamode Khan, Naushad Soobhug, Ashwinee Devi Heenaye-Mamode Khan, Maleika PLoS One Research Article Mauritius stands as one of the few countries in the world to have controlled the current pandemic, the novel coronavirus 2019 (COVID-19) to a significant extent in a relatively short lapse of time. Owing to uncertainties and crisis amid the pandemic, as an emergency announcement, the World Health Organization (WHO) solicits the help of health authorities, especially, researchers to conduct in-depth research on the evolution and treatment of COVID-19. This paper proposes an integer-valued time series model to analyze the series of COVID-19 cases in Mauritius wherein the corresponding innovation term accommodates for covariate specification. In this set-up, sanitary curfew followed by sanitization and sensitization campaigns, time factor and safe shopping guidelines have been tested as the most significant variables, unlike climatic conditions. The over-dispersion estimates and the serial auto-correlation parameter are also statistically significant. This study also confirms the presence of some unobservable effects like the pathological genesis of the novel coronavirus and environmental factors which contribute to rapid propagation of the zoonotic virus in the community. Based on the proposed COM-Poisson mixture models, we could predict the number of COVID-19 cases in Mauritius. The forecasting results provide satisfactory mean squared errors. Such findings will subsequently encourage the policymakers to implement strict precautionary measures in terms of constant upgrading of the current health care and wellness system and re-enforcement of sanitary obligations. Public Library of Science 2020-07-10 /pmc/articles/PMC7351213/ /pubmed/32649713 http://dx.doi.org/10.1371/journal.pone.0235730 Text en © 2020 Mamode Khan et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Mamode Khan, Naushad Soobhug, Ashwinee Devi Heenaye-Mamode Khan, Maleika Studying the trend of the novel coronavirus series in Mauritius and its implications |
title | Studying the trend of the novel coronavirus series in Mauritius and its implications |
title_full | Studying the trend of the novel coronavirus series in Mauritius and its implications |
title_fullStr | Studying the trend of the novel coronavirus series in Mauritius and its implications |
title_full_unstemmed | Studying the trend of the novel coronavirus series in Mauritius and its implications |
title_short | Studying the trend of the novel coronavirus series in Mauritius and its implications |
title_sort | studying the trend of the novel coronavirus series in mauritius and its implications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351213/ https://www.ncbi.nlm.nih.gov/pubmed/32649713 http://dx.doi.org/10.1371/journal.pone.0235730 |
work_keys_str_mv | AT mamodekhannaushad studyingthetrendofthenovelcoronavirusseriesinmauritiusanditsimplications AT soobhugashwineedevi studyingthetrendofthenovelcoronavirusseriesinmauritiusanditsimplications AT heenayemamodekhanmaleika studyingthetrendofthenovelcoronavirusseriesinmauritiusanditsimplications |