@article{fdi:010085065,
  title = {{H}igh and rapid increase in seroprevalence for {SARS}-{C}o{V}-2 in {C}onakry, {G}uinea : results from 3 successive cross-sectional surveys ({ANRS} {COV}16-{ARIACOV})},
  author = {{S}oumah, {A}. and {D}iallo, {M}amadou {S}aliou {K}alifa and {G}uichet, {E}milande and {M}aman, {D}. and {T}haurignac, {G}. and {K}eita, {A}. {K}. and {B}ouillin, {J}ulie and {D}iallo, {H}. and {P}elloquin, {R}aphael and {A}youba, {A}hidjo and {K}pamou, {C}. and {P}eeters, {M}artine and {D}elaporte, {E}. and {E}tard, {J}ean-{F}ran{\c{c}}ois and {T}oure, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{W}e conducted 3 successive seroprevalence surveys, 3 months apart, using multistage cluster sampling to measure the extent and dynamics of the severe acute respiratory syndrome coronavirus 2 epidemic in {C}onakry, the capital city of {G}uinea. {S}eroprevalence increased from 17.3% (95% {CI}, 12.4%-23.8%) in {D}ecember 2020 during the first survey ({S}1) to 28.9% (95% {CI}, 25.6%-32.4%) in {M}arch/{A}pril 2021 ({S}2), then to 42.4% (95% {CI}, 39.5%-45.3%) in {J}une 2021 ({S}3). {T}his significant overall trend of increasing seroprevalence ({P} < .0001) was also significant in every age class, illustrating a sustained transmission within the whole community. {T}hese data may contribute to defining cost-effective response strategies.},
  keywords = {{COVID}-19 ; {G}uinea ; population-based survey ; {SARS}-{C}o{V}-2 ; seroprevalence ; {GUINEE} ; {CONAKRY}},
  booktitle = {},
  journal = {{O}pen {F}orum {I}nfectious {D}iseases},
  volume = {9},
  numero = {5},
  pages = {ofac152 [5 p.]},
  ISSN = {2328-8957},
  year = {2022},
  DOI = {10.1093/ofid/ofac152},
  URL = {https://www.documentation.ird.fr/hor/fdi:010085065},
}