@article{fdi:010058825,
  title = {{R}isk mapping of {A}nopheles gambiae s.l. densities using remotely-sensed environmental and meteorological data in an urban area : {D}akar, {S}enegal},
  author = {{M}achault, {V}. and {V}ignolles, {C}. and {P}ages, {F}. and {G}adiaga, {L}. and {T}ourre, {Y}. {M}. and {G}aye, {A}. and {S}okhna, {C}heikh and {T}rape, {J}ean-{F}ran{\c{c}}ois and {L}acaux, {J}. {P}. and {R}ogier, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}ntroduction: {H}igh malaria transmission heterogeneity in an urban environment is basically due to the complex distribution of {A}nopheles larval habitats, sources of vectors. {U}nderstanding 1) the meteorological and ecological factors associated with differential larvae spatio-temporal distribution and 2) the vectors dynamic, both may lead to improving malaria control measures with remote sensing and high resolution data as key components. {I}n this study a robust operational methodology for entomological malaria predictive risk maps in urban settings is developed. {M}ethods: {T}he {T}ele-epidemiology approach, i.e., 1) intensive ground measurements ({A}nopheles larval habitats and {H}uman {B}iting {R}ate, or {HBR}), 2) selection of the most appropriate satellite data (for mapping and extracting environmental and meteorological information), and 3) use of statistical models taking into account the spatio-temporal data variability has been applied in {D}akar, {S}enegal. {R}esults: {F}irst step was to detect all water bodies in {D}akar. {S}econdly, environmental and meteorological conditions in the vicinity of water bodies favoring the presence of {A}nopheles gambiae s.l. larvae were added. {T}hen relationship between the predicted larval production and the field measured {HBR} was identified, in order to generate {A}n. gambiae s.l. {HBR} high resolution maps (daily, 10-m pixel in space). {D}iscussion and {C}onclusion: {A} robust operational methodology for dynamic entomological malaria predictive risk maps in an urban setting includes spatio-temporal variability of {A}n. gambiae s.l. larval habitats and {A}n. gambiae s.l. {HBR}. {T}he resulting risk maps are first examples of high resolution products which can be included in an operational warning and targeting system for the implementation of vector control measures.},
  keywords = {{SENEGAL} ; {DAKAR}},
  booktitle = {},
  journal = {{P}los {O}ne},
  volume = {7},
  numero = {11},
  pages = {e50674},
  ISSN = {1932-6203},
  year = {2012},
  DOI = {10.1371/journal.pone.0050674},
  URL = {https://www.documentation.ird.fr/hor/fdi:010058825},
}