@article{fdi:010072842,
  title = {{E}valuating dengue burden in {A}frica in passive fever surveillance and seroprevalence studies: protocol of field studies of the {D}engue {V}accine {I}nitiative},
  author = {{L}im, {J}. {K}. and {C}arabali, {M}. and {L}ee, {J}. {S}. and {L}ee, {K}. {S}. and {N}amkung, {S}. and {L}im, {S}. {K}. and {R}idde, {V}al{\'e}ry and {F}ernandes, {J}. and {L}ell, {B}. and {M}atendechero, {S}. {H}. and {E}sen, {M}. and {A}ndia, {E}. and {O}yembo, {N}. and {B}arro, {A}. and {B}onnet, {E}mmanuel and {N}jenga, {S}. {M}. and {A}gnandji, {S}. {T}. and {Y}aro, {S}. and {A}lexander, {N}. and {Y}oon, {I}. {K}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}ntroduction {D}engue is an important and well documented public health problem in the {A}sia-{P}acific and {L}atin {A}merican regions. {H}owever, in {A}frica, information on disease burden is limited to case reports and reports of sporadic outbreaks, thus hindering the implementation of public health actions for disease control. {T}o gather evidence on the undocumented burden of dengue in {A}frica, epidemiological studies with standardised methods were launched in three locations in {A}frica. {M}ethods and analysis {I}n 2014-2017, the {D}engue {V}accine {I}nitiative initiated field studies at three sites in {O}uagadougou, {B}urkina {F}aso; {L}ambarene, {G}abon and {M}ombasa, {K}enya to obtain comparable incidence data on dengue and assess its burden through standardised hospital-based surveillance and community-based serological methods. {M}ultidisciplinary measurements of the burden of dengue were obtained through field studies that included passive facility-based fever surveillance, cost-of--illness surveys, serological surveys and healthcare utilisation surveys. {A}ll three sites conducted case detection using standardised procedures with uniform laboratory assays to diagnose dengue. {H}ealthcare utilisation surveys were conducted to adjust population denominators in incidence calculations for differing healthcare seeking patterns. {T}he fever surveillance data will allow calculation of age-specific incidence rates and comparison of symptomatic presentation between patients with dengue and non-dengue using multivariable logistic regression. {S}erological surveys assessed changes in immune status of cohorts of approximately 3000 randomly selected residents at each site at 6-month intervals. {T}he age stratified serosurvey data will allow calculation of seroprevalence and force of infection of dengue. {C}ost-of illness evaluations were conducted among patients with acute dengue by {R}apid {D}iagnostic {T}est. {E}thics and dissemination {B}y standardising methods to evaluate dengue burden across several sites in {A}frica, these studies will generate evidence for dengue burden in {A}frica and data will be disseminated as publication in peer-review journals in 2018.},
  keywords = {{GABON} ; {BURKINA} {FASO} ; {KENYA} ; {OUAGADOUGOU} ; {MOMBASA} ; {LAMBARENE}},
  booktitle = {},
  journal = {{BMJ} {O}pen},
  volume = {8},
  numero = {1},
  pages = {e017673 [14 ]},
  ISSN = {2044-6055},
  year = {2018},
  DOI = {10.1136/bmjopen-2017-017673},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072842},
}