@article{fdi:010075734,
  title = {{T}he score of integrated disease surveillance and response adequacy ({SIA}) : a pragmatic score for comparing weekly reported diseases based on a systematic review},
  author = {{M}andja, {B}. {A}. {M}. and {B}ompangue, {D}. and {H}andschumacher, {P}ascal and {G}onzalez, {J}. {P}. and {S}alem, {G}. and {M}uyembe, {J}. {J}. and {M}auny, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground{T}he {I}ntegrated {D}isease {S}urveillance and {R}esponse ({IDSR}) strategy implemented by the {W}orld {H}ealth {O}rganization ({WHO}) in {A}frica has produced a large amount of data on participating countries, and in particular on the {D}emocratic {R}epublic of {C}ongo ({DRC}). {T}hese data are increasingly considered as unevaluable and, therefore, as requiring a rigorous process of validation before they can be used for research or public health purposes. {T}he aim of this study was to propose a method to assess the level of adequacy of {IDSR} morbidity data in reflecting actual morbidity.{M}ethods{A} systematic search of {E}nglish- and {F}rench-language articles was performed in {S}copus, {M}edline, {S}cience {D}irect, {S}pringer {L}ink, {C}ochrane, {C}airn, {P}ersee, and {E}rudit databases. {O}ther types of documents were identified through manual searches. {S}elected articles focused on the determinants of the discrepancies (differences) between reported morbidity and actual morbidity. {A}n adequacy score was constructed using some of the identified determinants. {T}his score was applied to the 15 weekly reported diseases monitored by {IDSR} surveillance in the {DRC}. {A} classification was established using the {J}enks method and a sensitivity analysis was performed. {T}wenty-three classes of determinants were identified in 35 {IDSR} technical guides and reports of outbreak investigations and in 71 out of 2254 researched articles. {F}or each of the 15 weekly reported diseases, the {SIA} was composed of 12 items grouped in 6 dimensions.{R}esults{T}he {SIA} classified the 15 weekly reported diseases into 3 categories or types: high score or good adequacy (value >=14), moderate score or fair adequacy (value >=8 and<14), and low score or low or non-adequacy (value <8). {R}egardless of the criteria used in the sensitivity analysis, there was no notable variation in {SIA} values or categories for any of the 15 weekly reported diseases.{C}onclusion{I}n a context of sparse health information in low- and middle-income countries, this study developed a score to help classify {IDSR} morbidity data as usable, usable after adjustment, or unusable. {T}his score can serve to prioritize, optimize, and interpret data analyses for epidemiological research or public health purposes.},
  keywords = {{A}dequacy score ; {D}emocratic {R}epublic of {C}ongo ; {I}nfectious diseases ; {I}ntegrated disease surveillance and response ; {R}eported data ; {REPUBLIQUE} {DEMOCRATIQUE} {DU} {CONGO}},
  booktitle = {},
  journal = {{BMC} {P}ublic {H}ealth},
  volume = {19},
  numero = {},
  pages = {art. 624 [14 p.]},
  ISSN = {1471-2458},
  year = {2019},
  DOI = {10.1186/s12889-019-6954-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075734},
}