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Tropical Data: Approach and Methodology as Applied to Trachoma Prevalence Surveys

Abstract

Purpose: Population-based prevalence surveys are essential for decision-making on interventions to achieve trachoma elimination as a public health problem. This paper outlines the methodologies of Tropical Data, which supports work to undertake those surveys.

Methods: Tropical Data is a consortium of partners that supports health ministries worldwide to conduct globally standardised prevalence surveys that conform to World Health Organization recommendations. Founding principles are health ministry ownership, partnership and collaboration, and quality assurance and quality control at every step of the survey process. Support covers survey planning, survey design, training, electronic data collection and fieldwork, and data management, analysis and dissemination. Methods are adapted to meet local context and needs. Customisations, operational research and integration of other diseases into routine trachoma surveys have also been supported.

Results: Between 29th February 2016 and 24th April 2023, 3373 trachoma surveys across 50 countries have been supported, resulting in 10,818,502 people being examined for trachoma.

Conclusion: This health ministry-led, standardised approach, with support from the start to the end of the survey process, has helped all trachoma elimination stakeholders to know where interventions are needed, where interventions can be stopped, and when elimination as a public health problem has been achieved. Flexibility to meet specific country contexts, adaptation to changes in global guidance and adjustments in response to user feedback have facilitated innovation in evidence-based methodologies, and supported health ministries to strive for global disease control targets.

More information

Type
Journal Article
Author
Harding-Esch EM
Burgert-Brucker CR
Jimenez C
Bakhtiari A
Willis R
Bejiga MD
Mpyet C
Ngondi J
Boyd S
Abdala M
Abdou A
Adamu Y
Alemayehu A
Alemayehu W
Al-Khatib T
Apadinuwe S
Awaca N
Awoussi MS
Baayendag G
Badiane MD
Bailey RL
Batcho W
Bay Z
Bella A
Beido N
Bol YY
Bougouma C
Brady CJ
Bucumi V
Butcher R
Cakacaka R
Cama A
Camara M
Cassama E
Chaora SG
Chebbi AC
Chisambi AB
Chu B
Conteh A
Coulibaly SM
Courtright P
Dalmar A
Dat TM
Davids T
Djaker MEA
de Fátima Costa Lopes M
Dézoumbé D
Dodson S
Downs P
Eckman S
Elshafie BE
Elmezoghi M
Elvis AA
Emerson P
Epée EE
Faktaufon D
Fall M
Fassinou A
Fleming F
Flueckiger R
Gamael KK
Garae M
Garap J
Gass K
Gebru G
Gichangi MM
Giorgi E
Goépogui A
Gómez DVF
Gómez Forero DP
Gower EW
Harte A
Henry R
Honorio-Morales HA
Ilako DR
Issifou AAB
Jones E
Kabona G
Kabore M
Kadri B
Kalua K
Kanyi SK
Kebede S
Kebede F
Keenan JD
Kello AB
Khan AA
Khelifi H
Kilangalanga J
Kim SH
Ko R
Lewallen S
Lietman T
Logora MSY
Lopez YA
MacArthur C
Macleod C
Makangila F
Mariko B
Martin DL
Masika M
Massae P
Massangaie M
Matendechero HS
Mathewos T
McCullagh S
Meite A
Mendes EP
Abdi HM
Miller H
Minnih A
Mishra SK
Molefi T
Mosher A
M’Po N
Mugume F
Mukwiza R
Mwale C
Mwatha S
Mwingira U
Nash SD
Nassa C
Negussu N
Nieba C
Noah Noah JC
Nwosu CO
Olobio N
Opon R
Pavluck A
Phiri I
Rainima-Qaniuci M
Renneker KK
Saboyá-Díaz MI
Sakho F
Sanha S
Sarah V
Sarr B
Szwarcwald CL
Shah Salam A
Sharma S
Seife F
Serrano Chavez GM
Sissoko M
Sitoe HM
Sokana O
Tadesse F
Taleo F
Talero SL
Tarfani Y
Tefera A
Tekeraoi R
Tesfazion A
Traina A
Traoré L
Trujillo-Trujillo J
Tukahebwa EM
Vashist P
Wanyama EB
Warusavithana SD
Watitu TK
West S
Win Y
Woods G
Yajima A
Yaya G
Zecarias A
Zewengiel S
Zoumanigui A
Hooper PJ
Millar T
Rotondo L
Solomon AW