@article{fdi:010079147,
  title = {{A}pplication of functional data analysis to identify patterns of malaria incidence, to guide targeted control strategies},
  author = {{D}ieng, {S}. and {M}ichel, {P}. and {G}uindo, {A}. and {S}allah, {K}. and {B}a, {E}. {H}. and {C}isse, {B}. and {C}arrieri, {M}. {P}. and {S}okhna, {C}heikh and {M}illigan, {P}. and {G}audart, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e introduce an approach based on functional data analysis to identify patterns of malaria incidence to guide effective targeting of malaria control in a seasonal transmission area. {U}sing functional data method, a smooth function (functional data or curve) was fitted from the time series of observed malaria incidence for each of 575 villages in west-central {S}enegal from 2008 to 2012. {T}hese 575 smooth functions were classified using hierarchical clustering ({W}ard's method), and several different dissimilarity measures. {V}alidity indices were used to determine the number of distinct temporal patterns of malaria incidence. {E}pidemiological indicators characterizing the resulting malaria incidence patterns were determined from the velocity and acceleration of their incidences over time. {W}e identified three distinct patterns of malaria incidence: high-, intermediate-, and low-incidence patterns in respectively 2% (12/575), 17% (97/575), and 81% (466/575) of villages. {E}pidemiological indicators characterizing the fluctuations in malaria incidence showed that seasonal outbreaks started later, and ended earlier, in the low-incidence pattern. {F}unctional data analysis can be used to identify patterns of malaria incidence, by considering their temporal dynamics. {E}pidemiological indicators derived from their velocities and accelerations, may guide to target control measures according to patterns.},
  keywords = {functional data analysis ; time series clustering ; malaria patterns ; malaria dynamic},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {E}nvironmental {R}esearch and {P}ublic {H}ealth},
  volume = {17},
  numero = {11},
  pages = {art. 4168 [23 p.]},
  year = {2020},
  DOI = {10.3390/ijerph17114168},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079147},
}