@article{fdi:010055845,
  title = {{S}patially explicit analyses of anopheline mosquitoes indoor resting density : implications for malaria control},
  author = {{K}amdem, {C}. and {F}ouet, {C}aroline and {E}touna, {J}. and {E}toa, {F}. {X}. and {S}imard, {F}r{\'e}d{\'e}ric and {B}esansky, {N}. {J}. and {C}ostantini, {C}arlo},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {T}he question of sampling and spatial aggregation of malaria vectors is central to vector control efforts and estimates of transmission. {S}patial patterns of anopheline populations are complex because mosquitoes' habitats and behaviors are strongly heterogeneous. {A}nalyses of spatially referenced counts provide a powerful approach to delineate complex distribution patterns, and contributions of these methods in the study and control of malaria vectors must be carefully evaluated. {M}ethodology/{P}rincipal {F}indings: {W}e used correlograms, directional variograms, {L}ocal {I}ndicators of {S}patial {A}ssociation ({LISA}) and the {S}patial {A}nalysis by {D}istance {I}ndic{E}s ({SADIE}) to examine spatial patterns of {I}ndoor {R}esting {D}ensities ({IRD}) in two dominant malaria vectors sampled with a 565 km grid over a 2500 km(2) area in the forest domain of {C}ameroon. {SADIE} analyses revealed that the distribution of {A}nopheles gambiae was different from regular or random, whereas there was no evidence of spatial pattern in {A}nopheles funestus ({I}a = 1.644, {P}a<0.05 and {I}a = 1.464, {P}a>0.05, respectively). {C}orrelograms and variograms showed significant spatial autocorrelations at small distance lags, and indicated the presence of large clusters of similar values of abundance in {A}n. gambiae while {A}n. funestus was characterized by smaller clusters. {T}he examination of spatial patterns at a finer spatial scale with {SADIE} and {LISA} identified several patches of higher than average {IRD} (hot spots) and clusters of lower than average {IRD} (cold spots) for the two species. {S}ignificant changes occurred in the overall spatial pattern, spatial trends and clusters when {IRD}s were aggregated at the house level rather than the locality level. {A}ll spatial analyses unveiled scale-dependent patterns that could not be identified by traditional aggregation indices. {C}onclusions/{S}ignificance: {O}ur study illustrates the importance of spatial analyses in unraveling the complex spatial patterns of malaria vectors, and highlights the potential contributions of these methods in malaria control.},
  keywords = {},
  booktitle = {},
  journal = {{P}los {O}ne},
  volume = {7},
  numero = {2},
  pages = {e31843},
  ISSN = {1932-6203},
  year = {2012},
  DOI = {10.1371/journal.pone.0031843},
  URL = {https://www.documentation.ird.fr/hor/fdi:010055845},
}