@article{fdi:010082112,
  title = {{D}etection of {P}lasmodium falciparum in laboratory-reared and naturally infected wild mosquitoes using near-infrared spectroscopy},
  author = {{D}a, {D}. {F}. and {M}c {C}abe, {R}. and {S}ome, {B}. {M}. and {E}speranca, {P}. {M}. and {S}ala, {K}. {A}. and {B}light, {J}. and {B}lagborough, {A}. {M}. and {D}owell, {F}. and {Y}erbanga, {S}. {R}. and {L}ef{\`e}vre, {T}hierry and {M}ouline, {K}arine and {D}abire, {R}. {K}. and {C}hurcher, {T}. {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}here is an urgent need for high throughput, affordable methods of detecting pathogens inside insect vectors to facilitate surveillance. {N}ear-infrared spectroscopy ({NIRS}) has shown promise to detect arbovirus and malaria in the laboratory but has not been evaluated in field conditions. {H}ere we investigate the ability of {NIRS} to identify {P}lasmodium falciparum in {A}nopheles coluzzii mosquitoes. {NIRS} models trained on laboratory-reared mosquitoes infected with wild malaria parasites can detect the parasite in comparable mosquitoes with moderate accuracy though fails to detect oocysts or sporozoites in naturally infected field caught mosquitoes. {M}odels trained on field mosquitoes were unable to predict the infection status of other field mosquitoes. {R}estricting analyses to mosquitoes of uninfectious and highly-infectious status did improve predictions suggesting sensitivity and specificity may be better in mosquitoes with higher numbers of parasites. {D}etection of infection appears restricted to homogenous groups of mosquitoes diminishing {NIRS} utility for detecting malaria within mosquitoes.},
  keywords = {},
  booktitle = {},
  journal = {{S}cientific {R}eports - {N}ature},
  volume = {11},
  numero = {1},
  pages = {10289 [8 ]},
  ISSN = {2045-2322},
  year = {2021},
  DOI = {10.1038/s41598-021-89715-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082112},
}