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Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016

OBJECTIVE: To develop a tool for estimating national trends in adult prevalence of sexually transmitted infections by low- and middle-income countries, using standardised, routinely collected programme indicator data. METHODS: The Spectrum-STI model fits time trends in the prevalence of active syphi...

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Autores principales: Korenromp, Eline L, Mahiané, Guy, Rowley, Jane, Nagelkerke, Nico, Abu-Raddad, Laith, Ndowa, Francis, El-Kettani, Amina, El-Rhilani, Houssine, Mayaud, Philippe, Chico, R Matthew, Pretorius, Carel, Hecht, Kendall, Wi, Teodora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739862/
https://www.ncbi.nlm.nih.gov/pubmed/28325771
http://dx.doi.org/10.1136/sextrans-2016-052953
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author Korenromp, Eline L
Mahiané, Guy
Rowley, Jane
Nagelkerke, Nico
Abu-Raddad, Laith
Ndowa, Francis
El-Kettani, Amina
El-Rhilani, Houssine
Mayaud, Philippe
Chico, R Matthew
Pretorius, Carel
Hecht, Kendall
Wi, Teodora
author_facet Korenromp, Eline L
Mahiané, Guy
Rowley, Jane
Nagelkerke, Nico
Abu-Raddad, Laith
Ndowa, Francis
El-Kettani, Amina
El-Rhilani, Houssine
Mayaud, Philippe
Chico, R Matthew
Pretorius, Carel
Hecht, Kendall
Wi, Teodora
author_sort Korenromp, Eline L
collection PubMed
description OBJECTIVE: To develop a tool for estimating national trends in adult prevalence of sexually transmitted infections by low- and middle-income countries, using standardised, routinely collected programme indicator data. METHODS: The Spectrum-STI model fits time trends in the prevalence of active syphilis through logistic regression on prevalence data from antenatal clinic-based surveys, routine antenatal screening and general population surveys where available, weighting data by their national coverage and representativeness. Gonorrhoea prevalence was fitted as a moving average on population surveys (from the country, neighbouring countries and historic regional estimates), with trends informed additionally by urethral discharge case reports, where these were considered to have reasonably stable completeness. Prevalence data were adjusted for diagnostic test performance, high-risk populations not sampled, urban/rural and male/female prevalence ratios, using WHO's assumptions from latest global and regional-level estimations. Uncertainty intervals were obtained by bootstrap resampling. RESULTS: Estimated syphilis prevalence (in men and women) declined from 1.9% (95% CI 1.1% to 3.4%) in 2000 to 1.5% (1.3% to 1.8%) in 2016 in Zimbabwe, and from 1.5% (0.76% to 1.9%) to 0.55% (0.30% to 0.93%) in Morocco. At these time points, gonorrhoea estimates for women aged 15–49 years were 2.5% (95% CI 1.1% to 4.6%) and 3.8% (1.8% to 6.7%) in Zimbabwe; and 0.6% (0.3% to 1.1%) and 0.36% (0.1% to 1.0%) in Morocco, with male gonorrhoea prevalences 14% lower than female prevalence. CONCLUSIONS: This epidemiological framework facilitates data review, validation and strategic analysis, prioritisation of data collection needs and surveillance strengthening by national experts. We estimated ongoing syphilis declines in both Zimbabwe and Morocco. For gonorrhoea, time trends were less certain, lacking recent population-based surveys.
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spelling pubmed-57398622018-01-03 Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016 Korenromp, Eline L Mahiané, Guy Rowley, Jane Nagelkerke, Nico Abu-Raddad, Laith Ndowa, Francis El-Kettani, Amina El-Rhilani, Houssine Mayaud, Philippe Chico, R Matthew Pretorius, Carel Hecht, Kendall Wi, Teodora Sex Transm Infect Original Article OBJECTIVE: To develop a tool for estimating national trends in adult prevalence of sexually transmitted infections by low- and middle-income countries, using standardised, routinely collected programme indicator data. METHODS: The Spectrum-STI model fits time trends in the prevalence of active syphilis through logistic regression on prevalence data from antenatal clinic-based surveys, routine antenatal screening and general population surveys where available, weighting data by their national coverage and representativeness. Gonorrhoea prevalence was fitted as a moving average on population surveys (from the country, neighbouring countries and historic regional estimates), with trends informed additionally by urethral discharge case reports, where these were considered to have reasonably stable completeness. Prevalence data were adjusted for diagnostic test performance, high-risk populations not sampled, urban/rural and male/female prevalence ratios, using WHO's assumptions from latest global and regional-level estimations. Uncertainty intervals were obtained by bootstrap resampling. RESULTS: Estimated syphilis prevalence (in men and women) declined from 1.9% (95% CI 1.1% to 3.4%) in 2000 to 1.5% (1.3% to 1.8%) in 2016 in Zimbabwe, and from 1.5% (0.76% to 1.9%) to 0.55% (0.30% to 0.93%) in Morocco. At these time points, gonorrhoea estimates for women aged 15–49 years were 2.5% (95% CI 1.1% to 4.6%) and 3.8% (1.8% to 6.7%) in Zimbabwe; and 0.6% (0.3% to 1.1%) and 0.36% (0.1% to 1.0%) in Morocco, with male gonorrhoea prevalences 14% lower than female prevalence. CONCLUSIONS: This epidemiological framework facilitates data review, validation and strategic analysis, prioritisation of data collection needs and surveillance strengthening by national experts. We estimated ongoing syphilis declines in both Zimbabwe and Morocco. For gonorrhoea, time trends were less certain, lacking recent population-based surveys. BMJ Publishing Group 2017-12 2017-03-21 /pmc/articles/PMC5739862/ /pubmed/28325771 http://dx.doi.org/10.1136/sextrans-2016-052953 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Original Article
Korenromp, Eline L
Mahiané, Guy
Rowley, Jane
Nagelkerke, Nico
Abu-Raddad, Laith
Ndowa, Francis
El-Kettani, Amina
El-Rhilani, Houssine
Mayaud, Philippe
Chico, R Matthew
Pretorius, Carel
Hecht, Kendall
Wi, Teodora
Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016
title Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016
title_full Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016
title_fullStr Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016
title_full_unstemmed Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016
title_short Estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the Spectrum-STI model: results for Zimbabwe and Morocco from 1995 to 2016
title_sort estimating prevalence trends in adult gonorrhoea and syphilis in low- and middle-income countries with the spectrum-sti model: results for zimbabwe and morocco from 1995 to 2016
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5739862/
https://www.ncbi.nlm.nih.gov/pubmed/28325771
http://dx.doi.org/10.1136/sextrans-2016-052953
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