Publication
An approach for assessing the distribution of reporting delay in portuguese AIDS data
| dc.contributor.author | Oliveira, Alexandra | |
| dc.contributor.author | Gaio, Ana Rita | |
| dc.contributor.author | da Costa, Joaquim Pinto | |
| dc.contributor.author | Reis, Luís Paulo | |
| dc.date.accessioned | 2019-07-17T16:40:11Z | |
| dc.date.available | 2019-07-17T16:40:11Z | |
| dc.date.issued | 2016 | |
| dc.description.abstract | HIV/AIDS epidemic is an important public health problem. The burden of the epidemic is estimated from surveillance systems data. The collected information is incomplete, making the estimation a challenging task and the reported trends often biased. The most common incomplete-data problems, in this kind of data, are due to under-diagnosis and reporting delays, mainly in the most recent years. This is a classical problem for imputation methodologies. In this paper we study the distribution of AIDS reporting delays through a mix approach, combining longitudinal K-means with the generalized least squares method. While the former identifies homogeneous delay patterns, the latter estimated longitudinal regression curves. We found that a 2-cluster structure is appropriated to accommodate the heterogeneity in reporting delay on HIV/AIDS data and that the corresponding estimated delay curves are almost stationary over time. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Oliveira, A., Rita Gaio, A., da Costa, J. P., & Reis, L. P. (2016). An aproach for assessing the distribution of reporting delay in portuguese AIDS data. Em Á. Rocha, A. M. Correia, H. Adeli, L. P. Reis, & M. Mendonça Teixeira (Eds.), New Advances in Information Systems and Technologies (pp. 641–649). Springer International Publishing. https://doi.org/10.1007/978-3-319-31307-8_66 | |
| dc.identifier.doi | 10.1007/978-3-319-31307-8_66 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.22/14419 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer | pt_PT |
| dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-31307-8_66 | pt_PT |
| dc.subject | HIV/AIDS | pt_PT |
| dc.subject | Reporting delay | pt_PT |
| dc.subject | Incomplete data | pt_PT |
| dc.subject | Imputation method | pt_PT |
| dc.subject | KML | pt_PT |
| dc.subject | GLS | pt_PT |
| dc.title | An approach for assessing the distribution of reporting delay in portuguese AIDS data | pt_PT |
| dc.type | book part | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 649 | pt_PT |
| oaire.citation.startPage | 641 | pt_PT |
| oaire.citation.title | New Advances in Information Systems and Technologies | pt_PT |
| oaire.citation.volume | 445 | pt_PT |
| person.familyName | Oliveira | |
| person.givenName | Alexandra | |
| person.identifier.ciencia-id | 161A-55D9-C256 | |
| person.identifier.orcid | 0000-0001-5872-5504 | |
| person.identifier.scopus-author-id | 56340903500 | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | bookPart | pt_PT |
| relation.isAuthorOfPublication | d6f940a1-3dba-41d2-9a5e-dc1f313eec07 | |
| relation.isAuthorOfPublication.latestForDiscovery | d6f940a1-3dba-41d2-9a5e-dc1f313eec07 |