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Some features on methodology of dengue modelling linked to data: Comment on “Mathematical modelling for dengue fever epidemiology: a 10-year systematic review” by M. Aguiar et al.
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916129/ https://www.ncbi.nlm.nih.gov/pubmed/36821892 http://dx.doi.org/10.1016/j.plrev.2023.01.019 |
| _version_ | 1784886052560830464 |
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| author | Pinho, Suani T.R. |
| author_facet | Pinho, Suani T.R. |
| author_sort | Pinho, Suani T.R. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9916129 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2023 |
| publisher | Elsevier B.V. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-99161292023-02-13 Some features on methodology of dengue modelling linked to data: Comment on “Mathematical modelling for dengue fever epidemiology: a 10-year systematic review” by M. Aguiar et al. Pinho, Suani T.R. Phys Life Rev Comment Elsevier B.V. 2023-03 2023-02-10 /pmc/articles/PMC9916129/ /pubmed/36821892 http://dx.doi.org/10.1016/j.plrev.2023.01.019 Text en © 2023 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Comment Pinho, Suani T.R. Some features on methodology of dengue modelling linked to data: Comment on “Mathematical modelling for dengue fever epidemiology: a 10-year systematic review” by M. Aguiar et al. |
| title | Some features on methodology of dengue modelling linked to data: Comment on “Mathematical modelling for dengue fever epidemiology: a 10-year systematic review” by M. Aguiar et al. |
| title_full | Some features on methodology of dengue modelling linked to data: Comment on “Mathematical modelling for dengue fever epidemiology: a 10-year systematic review” by M. Aguiar et al. |
| title_fullStr | Some features on methodology of dengue modelling linked to data: Comment on “Mathematical modelling for dengue fever epidemiology: a 10-year systematic review” by M. Aguiar et al. |
| title_full_unstemmed | Some features on methodology of dengue modelling linked to data: Comment on “Mathematical modelling for dengue fever epidemiology: a 10-year systematic review” by M. Aguiar et al. |
| title_short | Some features on methodology of dengue modelling linked to data: Comment on “Mathematical modelling for dengue fever epidemiology: a 10-year systematic review” by M. Aguiar et al. |
| title_sort | some features on methodology of dengue modelling linked to data: comment on “mathematical modelling for dengue fever epidemiology: a 10-year systematic review” by m. aguiar et al. |
| topic | Comment |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916129/ https://www.ncbi.nlm.nih.gov/pubmed/36821892 http://dx.doi.org/10.1016/j.plrev.2023.01.019 |
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