@article{fdi:010074479,
  title = {{S}patiotemporal analysis of malaria for new sustainable control strategies},
  author = {{L}andier, {J}ordi and {R}ebaudet, {S}. and {P}iarroux, {R}. and {G}audart, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}alaria transmission is highly heterogeneous through time and space, and mapping of this heterogeneity is necessary to better understand local dynamics. {N}ew targeted policies are needed as numerous countries have placed malaria elimination on their public health agenda for 2030. {I}n this context, developing national health information systems and collecting information at sufficiently precise scales (at least at the week' and village' scales), is of strategic importance. {I}n a recent study, {M}acharia et al. relied on extensive prevalence survey data to develop malaria risk maps for {K}enya, including uncertainty assessments specifically designed to support decision-making by the {N}ational {M}alaria {C}ontrol {P}rogram. {T}argeting local persistent transmission or epidemiologic changes is necessary to maintain efficient control, but also to deploy sustainable elimination strategies against identified transmission bottlenecks such as the reservoir of subpatent infections. {S}uch decision-making tools are paramount to allocate resources based on sound scientific evidence and public health priorities.{P}lease see related article:},
  keywords = {{S}ustainable malaria control ; spatiotemporal analysis ; bottleneck ; strategies ; malaria reservoir ; {E}pidemiological {I}nformation {S}ystem ; {KENYA}},
  booktitle = {},
  journal = {{BMC} {M}edicine},
  volume = {16},
  numero = {},
  pages = {art. 226 [4 p.]},
  ISSN = {1741-7015},
  year = {2018},
  DOI = {10.1186/s12916-018-1224-2},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074479},
}