TY - JOUR KW - Ophthalmology KW - Epidemiology KW - Chlamydia trachomatis KW - Prevalence KW - Survey KW - Trachoma KW - Tropical Data AU - Harding-Esch EM AU - Burgert-Brucker CR AU - Jimenez C AU - Bakhtiari A AU - Willis R AU - Bejiga MD AU - Mpyet C AU - Ngondi J AU - Boyd S AU - Abdala M AU - Abdou A AU - Adamu Y AU - Alemayehu A AU - Alemayehu W AU - Al-Khatib T AU - Apadinuwe S AU - Awaca N AU - Awoussi MS AU - Baayendag G AU - Badiane MD AU - Bailey RL AU - Batcho W AU - Bay Z AU - Bella A AU - Beido N AU - Bol YY AU - Bougouma C AU - Brady CJ AU - Bucumi V AU - Butcher R AU - Cakacaka R AU - Cama A AU - Camara M AU - Cassama E AU - Chaora SG AU - Chebbi AC AU - Chisambi AB AU - Chu B AU - Conteh A AU - Coulibaly SM AU - Courtright P AU - Dalmar A AU - Dat TM AU - Davids T AU - Djaker MEA AU - de Fátima Costa Lopes M AU - Dézoumbé D AU - Dodson S AU - Downs P AU - Eckman S AU - Elshafie BE AU - Elmezoghi M AU - Elvis AA AU - Emerson P AU - Epée EE AU - Faktaufon D AU - Fall M AU - Fassinou A AU - Fleming F AU - Flueckiger R AU - Gamael KK AU - Garae M AU - Garap J AU - Gass K AU - Gebru G AU - Gichangi MM AU - Giorgi E AU - Goépogui A AU - Gómez DVF AU - Gómez Forero DP AU - Gower EW AU - Harte A AU - Henry R AU - Honorio-Morales HA AU - Ilako DR AU - Issifou AAB AU - Jones E AU - Kabona G AU - Kabore M AU - Kadri B AU - Kalua K AU - Kanyi SK AU - Kebede S AU - Kebede F AU - Keenan JD AU - Kello AB AU - Khan AA AU - Khelifi H AU - Kilangalanga J AU - Kim SH AU - Ko R AU - Lewallen S AU - Lietman T AU - Logora MSY AU - Lopez YA AU - MacArthur C AU - Macleod C AU - Makangila F AU - Mariko B AU - Martin DL AU - Masika M AU - Massae P AU - Massangaie M AU - Matendechero HS AU - Mathewos T AU - McCullagh S AU - Meite A AU - Mendes EP AU - Abdi HM AU - Miller H AU - Minnih A AU - Mishra SK AU - Molefi T AU - Mosher A AU - M’Po N AU - Mugume F AU - Mukwiza R AU - Mwale C AU - Mwatha S AU - Mwingira U AU - Nash SD AU - Nassa C AU - Negussu N AU - Nieba C AU - Noah Noah JC AU - Nwosu CO AU - Olobio N AU - Opon R AU - Pavluck A AU - Phiri I AU - Rainima-Qaniuci M AU - Renneker KK AU - Saboyá-Díaz MI AU - Sakho F AU - Sanha S AU - Sarah V AU - Sarr B AU - Szwarcwald CL AU - Shah Salam A AU - Sharma S AU - Seife F AU - Serrano Chavez GM AU - Sissoko M AU - Sitoe HM AU - Sokana O AU - Tadesse F AU - Taleo F AU - Talero SL AU - Tarfani Y AU - Tefera A AU - Tekeraoi R AU - Tesfazion A AU - Traina A AU - Traoré L AU - Trujillo-Trujillo J AU - Tukahebwa EM AU - Vashist P AU - Wanyama EB AU - Warusavithana SD AU - Watitu TK AU - West S AU - Win Y AU - Woods G AU - Yajima A AU - Yaya G AU - Zecarias A AU - Zewengiel S AU - Zoumanigui A AU - Hooper PJ AU - Millar T AU - Rotondo L AU - Solomon AW AB -
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.
BT - Ophthalmic Epidemiology DO - 10.1080/09286586.2023.2249546 IS - 6 LA - Eng N2 -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.
PB - Informa UK Limited PY - 2023 SP - 544 EP - 560 T2 - Ophthalmic Epidemiology TI - Tropical Data: Approach and Methodology as Applied to Trachoma Prevalence Surveys UR - https://www.tandfonline.com/doi/epdf/10.1080/09286586.2023.2249546?needAccess=true VL - 30 SN - 0928-6586, 1744-5086 ER -