@article{fdi:010086800,
  title = {{S}patiotemporal patterns of dengue and {Z}ika incidence during the 2015-2018 outbreak of {Z}ika in {M}exico},
  author = {{C}ortes-{E}scamilla, {A}. and {R}oche, {B}enjamin and {R}odriguez-{L}opez, {M}. {H}. and {G}atell-{R}amirez, {H}. {L}. and {A}lpuche-{A}randa, {C}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{O}bjective. {E}valuate spatially and temporally simultaneous presence of clusters of dengue and {Z}ika clinical cases and their relationship with expected dengue transmission risk. {M}aterials and methods. {A} classification of dengue risk transmission was carried out for whole country, and spatial autocorrelation analyses to identify clusters of confirmed clinical cases of dengue and {Z}ika from 2015 to 2018 was conducted using {M}oran's {I}ndex statistics. {R}esults. {C}lusters of both diseases were identified in dengue-high risk municipalities at the beginning of the outbreak, but, at the end of the outbreak, {Z}ika clusters occurred in dengue low-risk municipalities. {C}onclusion. {T}his study identified {Z}ika clusters in low-risk dengue areas suggesting participation of several factors that favor virus introduction and dissemination, such as differences in entomological and control interventions,and the possibility of cross-immunity in the population.},
  keywords = {{D}engue ; {Z}ika ; spatiotemporal transmission ; spatial autocorrelation ; {MEXIQUE}},
  booktitle = {},
  journal = {{S}alud {P}ublica de {M}exico},
  volume = {64},
  numero = {5},
  pages = {478--487},
  ISSN = {0036-3634},
  year = {2022},
  DOI = {10.21149/13584},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086800},
}