381 results on '"Harding-Esch, Emma M."'
Search Results
2. Prevalence of and factors associated with childhood anaemia in remote villages of the Peruvian Amazon: a cross-sectional study and geospatial analysis.
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Morocho-Alburqueque, Noelia, Quincho-Lopez, Alvaro, Nesemann, John M, Cañari-Casaño, Jorge L, Elorreaga, Oliver A, Muñoz, Marleny, Talero, Sandra, Harding-Esch, Emma M, Saboyá-Díaz, Martha Idalí, Honorio-Morales, Harvy A, Durand, Salomón, Carey-Angeles, Cristiam A, Klausner, Jeffrey D, Keenan, Jeremy D, and Lescano, Andres G
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Biomedical and Clinical Sciences ,Public Health ,Health Sciences ,Social Determinants of Health ,Clinical Research ,Pediatric ,Good Health and Well Being ,Male ,Child ,Humans ,Cross-Sectional Studies ,Peru ,Prevalence ,Risk Factors ,Anemia ,Hemoglobins ,anaemia ,global health ,prevalence ,rural health ,Microbiology ,Medical Microbiology ,Public Health and Health Services ,Tropical Medicine ,Clinical sciences ,Medical microbiology ,Epidemiology - Abstract
BackgroundAnaemia is a public health problem in Peru. In the Loreto region of the Amazon, ≥50% of children may be anaemic, although insufficient information exists for rural villages.MethodsTo generate more data about childhood anaemia in the Peruvian Amazon, haemoglobin was measured as part of a trachoma survey in 21 randomly selected villages. All children 1-9 y of age from 30 randomly selected households per village were recruited. Anaemia was classified according to the World Health Organization guidelines and a socio-economic status (SES) index was created for each household using principal component analysis. Spatial autocorrelation was determined using Moran's I and Ripley's K function.ResultsOf 678 children with complete haemoglobin data, 25.4% (95% confidence interval [CI] 21.2 to 30.1) had mild-or-worse anaemia and 22.1% (95% CI 15.6 to 30.3) had moderate-or-worse anaemia. Mild-or-worse anaemia was more common among children whose primary source of drinking water was surface water (prevalence ratio [PR] 1.26 [95% CI 1.14 to 1.40], p
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- 2023
3. Association of vision impairment and blindness with socioeconomic status in adults 50 years and older from Alto Amazonas, Peru
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Nesemann, John M, Morocho-Alburqueque, Noelia, Quincho-Lopez, Alvaro, Muñoz, Marleny, Liliana-Talero, Sandra, Harding-Esch, Emma M, Saboyá-Díaz, Martha Idalí, Honorio-Morales, Harvy A, Durand, Salomón, Carey-Angeles, Cristiam A, Klausner, Jeffrey D, Lescano, Andres G, and Keenan, Jeremy D
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Biomedical and Clinical Sciences ,Ophthalmology and Optometry ,Prevention ,Behavioral and Social Science ,Eye Disease and Disorders of Vision ,Clinical Research ,Neurosciences ,Aging ,Health Disparities ,Eye ,Adult ,Humans ,Peru ,Cross-Sectional Studies ,Blindness ,Visually Impaired Persons ,Vision ,Low ,Social Class ,Prevalence ,Clinical Sciences ,Immunology ,Opthalmology and Optometry ,Ophthalmology & Optometry ,Ophthalmology and optometry - Abstract
ObjectiveTo determine the relationship between socioeconomic status (SES) and visual impairment (VI) or blindness in the rural Peruvian Amazon, hypothesizing that higher SES would have a protective effect on the odds of VI or blindness.MethodsIn this cross-sectional study of 16 rural communities in the Peruvian Amazon, consenting adults aged ≥ 50 years were recruited from ~30 randomly selected households per village. Each household was administered a questionnaire and had a SES score constructed using principal components analysis. Blindness and VI were determined using a ministry of health 3-meter visual acuity card.ResultsOverall, 207 adults aged ≥ 50 were eligible; 146 (70.5%) completed visual acuity screening and answered the questionnaire. Of those 146 participants who completed presenting visual acuity screening, 57 (39.0%, 95% CI 30.2-47.1) were classified as visually impaired and 6 (4.1%, 95% CI 0.9-7.3) as blind. Belonging to the highest SES tercile had a protective effect on VI or blindness (OR 0.29, 95% CI 0.09 to 0.91, p = 0.034), with a linear trend across decreasing levels of SES (p = 0.019). This observed effect remained significant regardless of how SES groups were assigned.ConclusionBelonging to a higher SES group resulted in a lower odds of VI or blindness compared to those in the lowest SES group. The observation of a dose response provides confidence in the observed association, but causality remains unclear. Blindness prevention programs could maximize impact by designing activities that specifically target people with lower SES.
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- 2023
4. Corneal pannus, Herbert's pits and conjunctival inflammation in older children in Papua New Guinea.
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Cochrane, Gillian M., Mangot, Magdelene, Houinei, Wendy, Susapu, Melinda, Cama, Anasaini, Le Mesurier, Richard, Webster, Sara, Hillgrove, Tessa, Barton, Jaki, Butcher, Robert, Harding-Esch, Emma M., Mabey, David, Bakhtiari, Ana, Müller, Andreas, Yajima, Aya, Solomon, Anthony W., Kaldor, John, Koim, Samuel Peter, Ko, Robert, and Garap, Jambi
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DISEASE prevalence ,CORNEA ,SCARS ,SYMPTOMS ,DRUG administration - Abstract
Purpose: The prevalence of trachomatous inflammation—follicular (TF) in Papua New Guinea (PNG) suggests antibiotic mass drug administration (MDA) is needed to eliminate trachoma as a public health problem but the burden of trichiasis is low. As a result, WHO issued bespoke recommendations for the region. If ≥ 20% of 10–14-year-olds have both any conjunctival scarring (C1 or C2 or C3) and corneal pannus and/or Herbert's pits, MDA should be continued. Equally, if ≥ 5% of that group have both moderate/severe conjunctival scarring (C2 or C3) and corneal pannus and/or Herbert's pits, MDA should be continued. Methods: We identified 14 villages where > 20% of 1−9-year-olds had TF during baseline mapping undertaken 4 years and 1 month previously. Every child aged 10−14 years in those villages was eligible to be examined for clinical signs of corneal pannus, Herbert's pits and conjunctival scarring. A grading system that built on existing WHO grading systems was used. Results: Of 1,293 resident children, 1,181 (91%) were examined. Of 1,178 with complete examination data, only one (0.08%) individual had concurrent scarring and limbal signs. Conclusions: The WHO-predefined criteria for continuation of MDA were not met. Ongoing behavioural and environmental improvement aspects of the SAFE strategy may contribute to integrated NTD control. Surveillance methods should be strengthened to enable PNG health authorities to identify future changes in disease prevalence. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Twenty-Three Population-Based Trachoma Prevalence Surveys in the Central and Northern Regions of Benin, 2018–2022.
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Issifou, Amadou Alfa Bio, Dare, Aboudou, Badou, Gracia Adjinacou, Harding-Esch, Emma M., Solomon, Anthony W., Bakhtiari, Ana, Boyd, Sarah, Jimenez, Cristina, Harte, Anna, Burgert-Brucker, Clara R., Sintondji, Franck Roland, Dossa, Nissou Inès, M'Po, N'Koué Tatchienta Nekoua, and Batcho, Wilfrid
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CHLAMYDIA trachomatis ,EYE diseases ,TRACHOMA ,CLUSTER sampling ,COMMUNICABLE diseases - Abstract
Purpose: Trachoma is an infectious eye disease caused by Chlamydia trachomatis. Infection causes conjunctival inflammation, which can be manifested by the sign known as trachomatous inflammation—follicular (TF). Repeated inflammation leads to eyelid scarring, which in susceptible individuals can cause in-turning of the eyelashes, referred to as trachomatous trichiasis (TT). This article describes 23 population-based surveys conducted in northern and central Benin to determine TF and/or TT prevalence for trachoma elimination purposes. Methods: A total of 18 surveys estimated the prevalence of both TF and TT: two baseline surveys, eight impact surveys after implementation of interventions against trachoma, and eight surveillance surveys. Five other evaluation units (EUs) were surveyed for TT only. To estimate the TF prevalence, a target sample size of 1701 (baseline) and 1164 1–9-year-olds (impact and surveillance) was required, whereas 2818 ≥ 15-year-olds were required to estimate the less prevalent TT. In each EU, individuals were selected by two-stage cluster sampling and examined by certified graders for TF and/or TT. Results: A total of 68,613 people were examined. TF prevalence estimates were under the 5% elimination threshold in all surveys. TT prevalence estimates were above the 0.2% elimination threshold in all five TT-only surveys and in four impact surveys, ranging from 0.2–0.57% Conclusion: TF prevalence in Benin is low, but TT was above 0.2% in nine districts. Increased case-finding and continuing efforts to improve surgery accessibility will be needed to reduce the burden of TT in Benin. [ABSTRACT FROM AUTHOR]
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- 2024
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6. Baseline, Impact and Surveillance Trachoma Prevalence Surveys in Burundi, 2018–2021.
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Bucumi, Victor, Muhimpundu, Elvis, Issifou, Amadou Alfa Bio, Akweyu, Stephanie, Burn, Nick, Willems, Johan, Niyongabo, Junénal, Elvis, Aba, Koizan, Gamael, Harte, Anna, Boyd, Sarah, Willis, Rebecca, Bakhtiari, Ana, Jimenez, Cristina, Burgert-Brucker, Clara, Kollmann, KHM Martin, Solomon, Anthony W., Harding-Esch, Emma M., and Gashikanyi, Rose Marie
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NEGLECTED diseases ,CHLAMYDIA trachomatis ,VISION disorders ,EYE diseases ,TRACHOMA - Abstract
Purpose: Trachoma is an eye disease caused by the bacterium Chlamydia trachomatis (Ct). It can lead to permanent vision loss. Since 2007, Burundi has included trachoma elimination as part of its fight against neglected tropical diseases and blindness. This study presents the results of trachoma baseline, impact and surveillance surveys conducted in Burundi between 2018 and 2021. Methods: Areas were grouped into evaluation units (EU) with resident populations of between 100,000 and 250,000 people. Baseline surveys were conducted in 15 EUs, impact surveys in 2 EUs and surveillance surveys in 5 EUs; in each survey, 23 clusters of about 30 households were included. Consenting residents of those households were screened for clinical signs of trachoma. Access to water, sanitation and hygiene (WASH) was recorded. Results: A total of 63,800 individuals were examined. The prevalence of TF in 1–9-year-olds was above the elimination threshold of 5% in a single EU at baseline, but fell below the threshold in subsequent impact and surveillance surveys. The prevalence of TT was below the 0.2% elimination threshold in ≥15-year-olds in all EUs surveyed. A high proportion (83%) of households had access to safe drinking water, while only a minority (~8%) had access to improved latrines. Conclusion: Burundi has demonstrated the prevalence levels necessary for trachoma elimination status. With continued effort and the maintenance of existing management plans, trachoma elimination in Burundi is within reach. [ABSTRACT FROM AUTHOR]
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- 2024
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7. The Gambia Trachomatous Trichiasis Surveys: Results from Five Evaluation Units Confirm Attainment of Trachoma Elimination Thresholds.
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Kanyi, Sarjo, Hydara, Abba, Sillah, Ansumana, Mpyet, Caleb, Harte, Anna, Bakhtiari, Ana, Willis, Rebecca, Jimenez, Cristina, Aboe, Agatha, Bailey, Robin, Harding-Esch, Emma M., Solomon, Anthony W., and Joof, Balla Musa
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CHLAMYDIA trachomatis ,CHLAMYDIA infections ,VISION disorders ,TRACHOMA ,CLUSTER sampling - Abstract
Introduction: Trichiasis is present when in-turned eyelashes touch the eyeball. It may result in permanent vision loss. Trachomatous trichiasis (TT) is caused by multiple rounds of inflammation associated with conjunctival Chlamydia trachomatis infection. Surveys have been designed to estimate the prevalence of TT in evaluation units (EUs) of trachoma-endemic countries in order to help develop appropriate programme-level plans. In this study, TT-only surveys were conducted in five EUs of The Gambia to determine whether further intensive programmatic action was required. Methods: Two-stage cluster sampling was used to select 27 villages per EU and ~25 households per village. Graders assessed the TT status of individuals aged ≥15 years in each selected household, including the presence or absence of conjunctival scarring in those with TT. Results: From February to March 2019, 11595 people aged ≥15 years were examined. A total of 34 cases of TT were identified. All five EUs had an age- and gender-adjusted prevalence of TT unknown to the health system <0.2%. Three of five EUs had a prevalence of 0.0%. Conclusion: Using these and other previously collected data, in 2021, The Gambia was validated as having achieved national elimination of trachoma as a public health problem. Trachoma is still present in the population, but as its prevalence is low, it is unlikely that today's youth will experience the exposure to C. trachomatis required to precipitate TT. The Gambia demonstrates that with political will and consistent application of human and financial resources, trachoma can be eliminated as a public health problem. [ABSTRACT FROM AUTHOR]
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- 2024
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8. The Prevalence of Trachomatous Trichiasis in People Aged 15 Years and Over in Six Evaluation Units of Gaoual, Labé, Dalaba and Beyla Districts, Guinea.
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Bah, Midiaou M., Sakho, Fatoumata, Goepogui, André, Nieba, Luc C., Cisse, Abdourahim, Courtright, Paul, Harte, Anna J., Burgert-Brucker, Clara, Jimenez, Cristina, Lama, Pierre L., Sagno, Michel, Bakhtiari, Ana, Boyd, Sarah, Solomon, Anthony W., Kelly, Michaela, James, Fiona, Tenkiano, Moise S.D., Harding-Esch, Emma M., and Dicko, Boubacar M.
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CHLAMYDIA trachomatis ,CHLAMYDIA infections ,TRACHOMA ,PUBLIC health ,EPIDEMIOLOGY - Abstract
Purpose: Trachoma is a public health problem in 42 countries. Inflammation associated with repeated ocular infection with Chlamydia trachomatis can cause the eyelid to scar and turn inwards, resulting in the eyelashes rubbing against the eyeball, known as trachomatous trichiasis (TT). In Guinea, baseline surveys conducted in 2013 reported inflammatory trachoma prevalences below the World Health Organization (WHO) threshold for elimination, but TT prevalences above threshold. Given this epidemiological context and time since baseline survey, TT-only surveys were conducted in selected districts to determine current TT prevalence. The results of this study provide critical data for assessing Guinea's achievement of trachoma elimination targets. Methods: Four health districts, consisting of six evaluation units (EU), were surveyed. In each EU, field teams visited 29 clusters with a minimum 30 households included in each. Participants aged≥15 years were examined by certified graders trained to identify TT and determine whether management had been offered. Results: A total of 22,476 people were examined, with 48 TT cases across the six EUs identified. Five of six EUs had an age-and-gender adjusted TT-prevalence unknown to the health system less than 0.2%, whereas one EU, Beyla 2, had an adjusted TT prevalence of 0.24%. Conclusion: These TT-only surveys, along with findings from other trachoma interventions, suggest that Guinea is close to achieving elimination of trachoma as a public health problem. This study demonstrates the value of undertaking TT-only surveys in settings where baseline surveys indicated active trachoma prevalences below WHO elimination threshold, but TT prevalences above it. [ABSTRACT FROM AUTHOR]
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- 2024
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9. Prevalence of Trachoma in Four Evaluation Units in Yemen after Implementation of Trachoma Elimination Measures.
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Al-Khateeb, Tawfik, Al-Haidari, Sami, Butcher, Robert, Rajamani, Anusha, Mahdy, Mohammed Abdu Khalid, Jimenez, Cristina, Dejene, Michael, Boyd, Sarah, Bakhtiari, Ana, Solomon, Anthony W., Thabit, Adnan, Harding-Esch, Emma M., and Al-Shami, Rasheed
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TRACHOMA ,EYE examination ,DISEASE prevalence ,DRINKING water ,CLUSTER sampling ,SANITATION - Abstract
Background: In baseline trachoma prevalence surveys, six districts in two governorates of Yemen were identified as requiring interventions. We set out to estimate the prevalence of trachoma 6−12 months after one round of antibiotic mass drug administration (MDA) and implementation of measures to encourage facial cleanliness. Methods: A population-based prevalence survey was conducted in each of the four evaluation units in October 2019. Contemporary World Health Organization recommendations for trachoma surveys were followed. Participants were selected using a two-stage cluster sampling process. The prevalence of inflammatory and late-stage trachoma was measured through eye examination. Water, sanitation, and hygiene facility access among visited households was estimated. Results: The prevalence of trachomatous inflammation—,follicular (TF) in 1–9-year-olds per EU was <5.0% in three EUs (Al Mighlaf, Al Munirah, and As Salif; Az Zaydiyah; and Mudhaykhirah districts) and 5.0–9.9% in one EU (Far Al Udayn District). The prevalence of TT unknown to the health system in ≥15-year-olds per EU was <0.2% in all four EUs. Per EU, the proportion of households with an improved drinking water source ranged from 40% to 100%; access to an improved drinking water source within 30-minute return journey of the household ranged from 45% to 100%; and with an improved latrine ranged from 32% to 83%. Conclusion: An additional round of antibiotic MDA should be administered in Far Al Udayn district before it is resurveyed. In the other surveyed districts, pre-validation surveillance surveys should be conducted in 2 years' time to determine if the TF prevalence <5% has been maintained. [ABSTRACT FROM AUTHOR]
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- 2024
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10. Trachoma
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Solomon, Anthony W., Burton, Matthew J., Gower, Emily W., Harding-Esch, Emma M., Oldenburg, Catherine E., Taylor, Hugh R., and Traoré, Lamine
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- 2022
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11. Acceptability and feasibility of tests for infection, serological testing, and photography to define need for interventions against trachoma
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Renneker, Kristen K., primary, Mtuy, Tara B., additional, Kabona, George, additional, Mbwambo, Stephen Gabriel, additional, Mosha, Patrick, additional, Mollel, Jeremiah Mepukori, additional, Hooper, PJ, additional, Emerson, Paul M., additional, Hollingsworth, T. Deirdre, additional, Butcher, Robert, additional, Solomon, Anthony W., additional, and Harding-Esch, Emma M., additional
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- 2024
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12. Mass drug administration with azithromycin for trachoma elimination and the population structure of Streptococcus pneumoniae in the nasopharynx
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Gladstone, Rebecca A., Bojang, Ebrima, Hart, John, Harding-Esch, Emma M., Mabey, David, Sillah, Ansumana, Bailey, Robin L., Burr, Sarah E., Roca, Anna, Bentley, Stephen D., and Holland, Martin J.
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- 2021
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13. Acceptability and feasibility of tests for infection, serological testing and photography to define need for interventions against trachoma
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Renneker, Kristen K, primary, Mtuy, Tara B, additional, Kabona, George, additional, Mbwambo, Stephen Gabriel, additional, Mosha, Patrick, additional, Mollel, Jeremiah Mepukori, additional, Hooper, PJ, additional, Emerson, Paul M, additional, Hollingsworth, T. Deirdre, additional, Butcher, Robert, additional, Solomon, Anthony W, additional, and Harding-Esch, Emma M, additional
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- 2024
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14. Publisher Correction: Comparison of platforms for testing antibodies to Chlamydia trachomatis antigens in the Democratic Republic of the Congo and Togo
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Gwyn, Sarah, Awoussi, Marcel S., Bakhtiari, Ana, Bronzan, Rachel N., Crowley, Kathryn, Harding-Esch, Emma M., Kassankogno, Yao, Kilangalanga, Janvier N., Makangila, Felix, Mupoyi, Sylvain, Ngondi, Jeremiah, Ngoyi, Bonaventure, Palmer, Stephanie, Randall, Jessica M., Seim, Anders, Solomon, Anthony W., Stewart, Raymond, Togbey, Kwamy, Uvon, Pitchouna A., and Martin, Diana L.
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- 2021
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15. Comparison of platforms for testing antibodies to Chlamydia trachomatis antigens in the Democratic Republic of the Congo and Togo
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Gwyn, Sarah, Awoussi, Marcel S., Bakhtiari, Ana, Bronzan, Rachel N., Crowley, Kathryn, Harding-Esch, Emma M., Kassankogno, Yao, Kilangalanga, Janvier N., Makangila, Felix, Mupoyi, Sylvain, Ngondi, Jeremiah, Ngoyi, Bonaventure, Palmer, Stephanie, Randall, Jessica M., Seim, Anders, Solomon, Anthony W., Stewart, Raymond, Togbey, Kwamy, Uvon, Pitchouna A., and Martin, Diana L.
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- 2021
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16. Accuracy, acceptability and feasibility of photography for use in trachoma surveys: a mixed methods study in Tanzania
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Bisanzio, Donal, primary, Butcher, Robert, additional, Turbé, Valérian, additional, Matsumoto, Kenji, additional, Dinesh, Chaitra, additional, Massae, Patrick, additional, Dejene, Michael, additional, Jimenez, Cristina, additional, Macleod, Colin, additional, Matayan, Einoti, additional, Mpyet, Caleb, additional, Pavluck, Alex, additional, Saboyá-Díaz, Martha Idalí, additional, Tadesse, Fentahun, additional, Talero, Sandra Liliana, additional, Solomon, Anthony W, additional, Ngondi, Jeremiah, additional, Kabona, George, additional, Uisso, Cecilia, additional, Simon, Alistidia, additional, Mwingira, Upendo, additional, and Harding-Esch, Emma M, additional
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- 2023
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17. A Novel Point-Of-Care Cytokine Biomarker Lateral Flow Test for the Screening for Sexually Transmitted Infections and Bacterial Vaginosis: Study Protocol of a Multi-Centre Multi-Disciplinary Prospective Clinical Study to Evaluate the Performance and Feasibility of the Genital Inflammation Test (GIFT)
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Ramboarina, Stéphanie, primary, Crucitti, Tania, additional, Gill, Katherine, additional, Bekker, Linda-Gail, additional, Harding-Esch, Emma M, additional, de Wijgert, Janneke HHM van, additional, Huynh, Bich-Tram, additional, Fortas, Camille, additional, Harimanana, Aina, additional, Gamana, Théodora Mayouya, additional, Randremanana, Rindra, additional, Mangahasimbola, Reziky, additional, Chikwari, Chido Dziva, additional, Kranzer, Katharina, additional, Mackworth-Young, Constance RS, additional, Bernays, Sarah, additional, Thomas, Nicola, additional, Anderson, David, additional, Tanko, Ramla Fatime, additional, Manhanzva, Monalisa, additional, Lurie, Micaela, additional, Khumalo, Fezile, additional, Sinanovic, Edina, additional, Honda, Ayako, additional, Pidwell, Tanya, additional, Francis, Suzanne, additional, Masson, Lindi, additional, and Passmore, Jo-Ann, additional
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- 2023
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18. Tropical Data: Approach and Methodology as Applied to Trachoma Prevalence Surveys
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Harding-Esch, Emma M, primary, Burgert-Brucker, Clara R, additional, Jimenez, Cristina, additional, Bakhtiari, Ana, additional, Willis, Rebecca, additional, Bejiga, Michael Dejene, additional, Mpyet, Caleb, additional, Ngondi, Jeremiah, additional, Boyd, Sarah, additional, Abdala, Mariamo, additional, Abdou, Amza, additional, Adamu, Yilikal, additional, Alemayehu, Addisu, additional, Alemayehu, Wondu, additional, Al-Khatib, Tawfik, additional, Apadinuwe, Sue-Chen, additional, Awaca, Naomie, additional, Awoussi, Marcel S, additional, Baayendag, Gilbert, additional, Badiane, Mouctar Dieng, additional, Bailey, Robin L, additional, Batcho, Wilfrid, additional, Bay, Zulficar, additional, Bella, Assumpta, additional, Beido, Nassirou, additional, Bol, Yak Yak, additional, Bougouma, Clarisse, additional, Brady, Christopher J, additional, Bucumi, Victor, additional, Butcher, Robert, additional, Cakacaka, Risiate, additional, Cama, Anaseini, additional, Camara, Mamoudou, additional, Cassama, Eunice, additional, Chaora, Shorai Grace, additional, Chebbi, Amel Chenaoui, additional, Chisambi, Alvin Blessings, additional, Chu, Brian, additional, Conteh, Abdulai, additional, Coulibaly, Sidi Mohamed, additional, Courtright, Paul, additional, Dalmar, Abdi, additional, Dat, Tran Minh, additional, Davids, Thully, additional, Djaker, Mohamed El Amine, additional, de Fátima Costa Lopes, Maria, additional, Dézoumbé, Djore, additional, Dodson, Sarity, additional, Downs, Philip, additional, Eckman, Stephanie, additional, Elshafie, Bilghis Elkhair, additional, Elmezoghi, Mourad, additional, Elvis, Ange Aba, additional, Emerson, Paul, additional, Epée, Emilienne EE, additional, Faktaufon, Daniel, additional, Fall, Mawo, additional, Fassinou, Aréty, additional, Fleming, Fiona, additional, Flueckiger, Rebecca, additional, Gamael, Koizan Kadjo, additional, Garae, Mackline, additional, Garap, Jambi, additional, Gass, Katie, additional, Gebru, Genet, additional, Gichangi, Michael M, additional, Giorgi, Emanuele, additional, Goépogui, André, additional, Gómez, Daniela Vaz Ferreira, additional, Gómez Forero, Diana Paola, additional, Gower, Emily W, additional, Harte, Anna, additional, Henry, Rob, additional, Honorio-Morales, Harvy Alberto, additional, Ilako, Dunera R, additional, Issifou, Amadou Alfa Bio, additional, Jones, Ellen, additional, Kabona, George, additional, Kabore, Martin, additional, Kadri, Boubacar, additional, Kalua, Khumbo, additional, Kanyi, Sarjo Kebba, additional, Kebede, Shambel, additional, Kebede, Fikreab, additional, Keenan, Jeremy D, additional, Kello, Amir B, additional, Khan, Asad Aslam, additional, Khelifi, Houria, additional, Kilangalanga, Janvier, additional, Kim, Sung Hye, additional, Ko, Robert, additional, Lewallen, Susan, additional, Lietman, Thomas, additional, Logora, Makoy Samuel Yibi, additional, Lopez, Yuri A, additional, MacArthur, Chad, additional, Macleod, Colin, additional, Makangila, Felix, additional, Mariko, Brehima, additional, Martin, Diana L, additional, Masika, Michael, additional, Massae, Patrick, additional, Massangaie, Marilia, additional, Matendechero, Hadley S, additional, Mathewos, Tsedeke, additional, McCullagh, Siobhain, additional, Meite, Aboulaye, additional, Mendes, Elsa Palma, additional, Abdi, Hirpa M, additional, Miller, Hollman, additional, Minnih, Abdellahi, additional, Mishra, Sailesh Kumar, additional, Molefi, Tuduetso, additional, Mosher, Aryc, additional, M’Po, Nerkoua, additional, Mugume, Francis, additional, Mukwiza, Robson, additional, Mwale, Consity, additional, Mwatha, Stephen, additional, Mwingira, Upendo, additional, Nash, Scott D, additional, Nassa, Christophe, additional, Negussu, Nebiyu, additional, Nieba, Cece, additional, Noah Noah, Jean Claude, additional, Nwosu, Christian O, additional, Olobio, Nicholas, additional, Opon, Rapheal, additional, Pavluck, Alexandre, additional, Phiri, Isaac, additional, Rainima-Qaniuci, Merelesita, additional, Renneker, Kristen K, additional, Saboyá-Díaz, Martha Idalí, additional, Sakho, Fatoumata, additional, Sanha, Salimato, additional, Sarah, Virginia, additional, Sarr, Boubacar, additional, Szwarcwald, Celia L, additional, Shah Salam, Ahmad, additional, Sharma, Shekhar, additional, Seife, Fikre, additional, Serrano Chavez, Gloria Marina, additional, Sissoko, Mactar, additional, Sitoe, Henis Mior, additional, Sokana, Oliver, additional, Tadesse, Fentahun, additional, Taleo, Fasiah, additional, Talero, Sandra Liliana, additional, Tarfani, Youcef, additional, Tefera, Amsayaw, additional, Tekeraoi, Rabebe, additional, Tesfazion, Andeberhan, additional, Traina, Abubaker, additional, Traoré, Lamine, additional, Trujillo-Trujillo, Julián, additional, Tukahebwa, Edridah M, additional, Vashist, Praveen, additional, Wanyama, Ernest B, additional, Warusavithana, Supriya D.P., additional, Watitu, Titus K, additional, West, Sheila, additional, Win, Ye, additional, Woods, Geordie, additional, Yajima, Aya, additional, Yaya, Georges, additional, Zecarias, Alem, additional, Zewengiel, Solomon, additional, Zoumanigui, Akoi, additional, Hooper, Pamela J, additional, Millar, Tom, additional, Rotondo, Lisa, additional, and Solomon, Anthony W, additional
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- 2023
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19. Mass treatment with azithromycin for trachoma: when is one round enough? Results from the PRET Trial in the Gambia.
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Harding-Esch, Emma M, Sillah, Ansumana, Edwards, Tansy, Burr, Sarah E, Hart, John D, Joof, Hassan, Laye, Mass, Makalo, Pateh, Manjang, Ahmed, Molina, Sandra, Sarr-Sissoho, Isatou, Quinn, Thomas C, Lietman, Tom, Holland, Martin J, Mabey, David, West, Sheila K, Bailey, Robin, and Partnership for Rapid Elimination of Trachoma (PRET) study group
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Partnership for Rapid Elimination of Trachoma (PRET) study group ,Humans ,Chlamydia trachomatis ,Trachoma ,Azithromycin ,Anti-Bacterial Agents ,Treatment Outcome ,Child ,Preschool ,Infant ,Infant ,Newborn ,Gambia ,Female ,Male ,Child ,Preschool ,Newborn ,Tropical Medicine ,Biological Sciences ,Medical and Health Sciences - Abstract
BackgroundThe World Health Organization has recommended three rounds of mass drug administration (MDA) with antibiotics in districts where the prevalence of follicular trachoma (TF) is ≥10% in children aged 1-9 years, with treatment coverage of at least 80%. For districts at 5-10% TF prevalence it was recommended that TF be assessed in 1-9 year olds in each community within the district, with three rounds of MDA provided to any community where TF≥10%. Worldwide, over 40 million people live in districts whose TF prevalence is estimated to be between 5 and 10%. The best way to treat these districts, and the optimum role of testing for infection in deciding whether to initiate or discontinue MDA, are unknown.MethodsIn a community randomized trial with a factorial design, we randomly assigned 48 communities in four Gambian districts, in which the prevalence of trachoma was known or suspected to be above 10%, to receive annual mass treatment with expected coverage of 80-89% ("Standard"), or to receive an additional visit in an attempt to achieve coverage of 90% or more ("Enhanced"). The same 48 communities were randomised to receive mass treatment annually for three years ("3×"), or to have treatment discontinued if Chlamydia trachomatis (Ct) infection was not detected in a sample of children in the community after mass treatment (stopping rule("SR")). Primary outcomes were the prevalence of TF and of Ct infection in 0-5 year olds at 36 months.ResultsThe baseline prevalence of TF and of Ct infection in the target communities was 6.5% and 0.8% respectively. At 36 months the prevalence of TF was 2.8%, and that of Ct infection was 0.5%. No differences were found between the arms in TF or Ct infection prevalence either at baseline (Standard-3×: TF 5.6%, Ct 0.7%; Standard-SR: TF 6.1%, Ct 0.2%; Enhanced-3×: TF 7.4%, Ct 0.9%; and Enhanced-SR: TF 6.2%, Ct 1.2%); or at 36 months (Standard-3×: TF 2.3%, Ct 1.0%; Standard-SR TF 2.5%, Ct 0.2%; Enhanced-3× TF 3.0%, Ct 0.2%; and Enhanced-SR TF 3.2%, Ct 0.7% ). The implementation of the stopping rule led to treatment stopping after one round of MDA in all communities in both SR arms. Mean treatment coverage of children aged 0-9 in communities randomised to standard treatment was 87.7% at baseline and 84.8% and 88.8% at one and two years, respectively. Mean coverage of children in communities randomized to enhanced treatment was 90.0% at baseline and 94.2% and 93.8% at one and two years, respectively. There was no evidence of any difference in TF or Ct prevalence at 36 months resulting from enhanced coverage or from one round of MDA compared to three.ConclusionsThe Gambia is close to the elimination target for active trachoma. In districts prioritised for three MDA rounds, one round of MDA reduced active trachoma to low levels and Ct infection was not detectable in any community. There was no additional benefit to giving two further rounds of MDA. Programmes could save scarce resources by determining when to initiate or to discontinue MDA based on testing for Ct infection, and one round of MDA may be all that is necessary in some settings to reduce TF below the elimination threshold.
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- 2013
20. The eSexual Health Clinic system for management, prevention, and control of sexually transmitted infections: exploratory studies in people testing for Chlamydia trachomatis
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Estcourt, Claudia S, Gibbs, Jo, Sutcliffe, Lorna J, Gkatzidou, Voula, Tickle, Laura, Hone, Kate, Aicken, Catherine, Lowndes, Catherine M, Harding-Esch, Emma M, Eaton, Sue, Oakeshott, Pippa, Szczepura, Ala, Ashcroft, Richard E, Copas, Andrew, Nettleship, Anthony, Sadiq, S Tariq, and Sonnenberg, Pam
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- 2017
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21. Facial cleanliness indicators by time of day: results of a cross-sectional trachoma prevalence survey in Senegal
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Harding-Esch, Emma M., Holland, Martin J., Schémann, Jean-François, Sissoko, Mactar, Sarr, Boubacar, Butcher, Robert M. R., Molina-Gonzalez, Sandra, Andreasen, Aura A., Mabey, David C. W., and Bailey, Robin L.
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- 2020
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22. Understanding the acceptability, barriers and facilitators for chlamydia and gonorrhoea screening in technical colleges: qualitative process evaluation of the “Test n Treat” trial
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Fleming, Charlotte, Drennan, Vari M., Kerry-Barnard, Sarah, Reid, Fiona, Adams, Elisabeth J., Sadiq, S. Tariq, Phillips, Rachel, Majewska, Wendy, Harding-Esch, Emma M., Cousins, Emma C., Yoward, Freya, and Oakeshott, Pippa
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- 2020
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23. Using model-based geostatistics for assessing the elimination of trachoma
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Sasanami, Misaki, primary, Amoah, Benjamin, additional, Diori, Adam Nouhou, additional, Amza, Abdou, additional, Souley, Abdoul Salam Youssoufou, additional, Bakhtiari, Ana, additional, Kadri, Boubacar, additional, Szwarcwald, Célia L., additional, Ferreira Gomez, Daniela Vaz, additional, Almou, Ibrahim, additional, Lopes, Maria de Fátima Costa, additional, Masika, Michael P., additional, Beidou, Nassirou, additional, Boyd, Sarah, additional, Harding-Esch, Emma M., additional, Solomon, Anthony W., additional, and Giorgi, Emanuele, additional
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- 2023
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24. Changes in trachoma indicators in Kiribati with two rounds of azithromycin mass drug administration, measured in serial population-based surveys
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Goodhew, E. Brook, primary, Taoaba, Raebwebwe, additional, Harding-Esch, Emma M., additional, Gwyn, Sarah E., additional, Bakhtiari, Ana, additional, Butcher, Robert, additional, Cama, Anasaini, additional, Guagliardo, Sarah Anne J., additional, Jimenez, Cristina, additional, Mpyet, Caleb D., additional, Tun, Kab, additional, Wickens, Karana, additional, Solomon, Anthony W., additional, Martin, Diana L., additional, and Tekeraoi, Rabebe, additional
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- 2023
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25. Baseline, Impact and Surveillance Trachoma Prevalence Surveys in Burundi, 2018–2021
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Bucumi, Victor, primary, Muhimpundu, Elvis, additional, Bio Issifou, Amadou Alfa, additional, Akweyu, Stephanie, additional, Burn, Nick, additional, Willems, Johan, additional, Niyongabo, Junénal, additional, Elvis, Aba, additional, Koizan, Gamael, additional, Harte, Anna, additional, Boyd, Sarah, additional, Willis, Rebecca, additional, Bakhtiari, Ana, additional, Jimenez, Cristina, additional, Burgert-Brucker, Clara, additional, Kollmann, KHM Martin, additional, Solomon, Anthony W., additional, Harding-Esch, Emma M., additional, and Gashikanyi, Rose Marie, additional
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- 2023
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26. The Prevalence of Trachomatous Trichiasis in People Aged 15 Years and Over in Six Evaluation Units of Gaoual, Labé, Dalaba and Beyla Districts, Guinea
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Bah, Midiaou M., primary, Sakho, Fatoumata, additional, Goepogui, André, additional, Nieba, Luc C., additional, Cisse, Abdourahim, additional, Courtright, Paul, additional, Harte, Anna J., additional, Burgert-Brucker, Clara, additional, Jimenez, Cristina, additional, Lama, Pierre L., additional, Sagno, Michel, additional, Bakhtiari, Ana, additional, Boyd, Sarah, additional, Solomon, Anthony W., additional, Kelly, Michaela, additional, James, Fiona, additional, Tenkiano, Moise S.D., additional, Harding-Esch, Emma M., additional, and Dicko, Boubacar M., additional
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- 2023
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27. Impact of personal protective equipment on the clarity of vision among trachoma survey graders and trichiasis surgeons in the context of COVID-19
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Ul Hassan, Ehtisham, primary, Apadinuwe, Sue-Chen, additional, Bisanzio, Donal, additional, Dejene, Michael, additional, Downs, Philip, additional, Harding-Esch, Emma M, additional, Jimenez, Cristina, additional, Kabona, George, additional, Kebede, Biruck Negash, additional, Kelly, Michaela, additional, Kivumbi, Peter, additional, Millar, Tom, additional, Mosher, Aryc W, additional, Mpyet, Caleb, additional, Mkocha, Harran, additional, Ngondi, Jeremiah M, additional, Olobio, Nicholas, additional, Palmer, Stephanie, additional, Teyil, Wamyil-Mshelia, additional, and Courtright, Paul, additional
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- 2023
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28. Impact of a single round of mass drug administration with azithromycin on active trachoma and ocular Chlamydia trachomatis prevalence and circulating strains in The Gambia and Senegal
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Harding-Esch, Emma M., Holland, Martin J., Schémann, Jean-François, Sillah, Ansumana, Sarr, Boubacar, Christerson, Linus, Pickering, Harry, Molina-Gonzalez, Sandra, Sarr, Isatou, Andreasen, Aura A., Jeffries, David, Grundy, Chris, Mabey, David C. W., Herrmann, Bjorn, and Bailey, Robin L.
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- 2019
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29. Using model-based geostatistics for assessing the elimination of trachoma
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Sasanami, Misaki, Amoah, Benjamin, Diori, Adam Nouhou, Amza, Abdou, Souley, Abdoul Salam Youssoufou, Bakhtiari, Ana, Kadri, Boubacar, Szwarcwald, Célia L., Ferreira Gomez, Daniela Vaz, Almou, Ibrahim, Lopes, Maria de Fátima Costa, Masika, Michael P., Beidou, Nassirou, Boyd, Sarah, Harding-Esch, Emma M., Solomon, Anthony W., Giorgi, Emanuele, Sasanami, Misaki, Amoah, Benjamin, Diori, Adam Nouhou, Amza, Abdou, Souley, Abdoul Salam Youssoufou, Bakhtiari, Ana, Kadri, Boubacar, Szwarcwald, Célia L., Ferreira Gomez, Daniela Vaz, Almou, Ibrahim, Lopes, Maria de Fátima Costa, Masika, Michael P., Beidou, Nassirou, Boyd, Sarah, Harding-Esch, Emma M., Solomon, Anthony W., and Giorgi, Emanuele
- Abstract
Background: Trachoma is the commonest infectious cause of blindness worldwide. Efforts are being made to eliminate trachoma as a public health problem globally. However, as prevalence decreases, it becomes more challenging to precisely predict prevalence. We demonstrate how model-based geostatistics (MBG) can be used as a reliable, efficient, and widely applicable tool to assess the elimination status of trachoma. Methods: We analysed trachoma surveillance data from Brazil, Malawi, and Niger. We developed geostatistical Binomial models to predict trachomatous inflammation—follicular (TF) and trachomatous trichiasis (TT) prevalence. We proposed a general framework to incorporate age and gender in the geostatistical models, whilst accounting for residual spatial and non-spatial variation in prevalence through the use of random effects. We also used predictive probabilities generated by the geostatistical models to quantify the likelihood of having achieved the elimination target in each evaluation unit (EU). Results: TF and TT prevalence varied considerably by country, with Brazil showing the lowest prevalence and Niger the highest. Brazil and Malawi are highly likely to have met the elimination criteria for TF in each EU, but, for some EUs, there was high uncertainty in relation to the elimination of TT according to the model alone. In Niger, the predicted prevalence varied significantly across EUs, with the probability of having achieved the elimination target ranging from values close to 0% to 100%, for both TF and TT. Conclusions: We demonstrated the wide applicability of MBG for trachoma programmes, using data from different epidemiological settings. Unlike the standard trachoma prevalence survey approach, MBG provides a more statistically rigorous way of quantifying uncertainty around the achievement of elimination prevalence targets, through the use of spatial correlation. In addition to the analysis of existing survey data, MBG also provides an approach to ide
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- 2023
30. Tropical Data: Approach and Methodology as Applied to Trachoma Prevalence Surveys
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Harding-Esch, Emma M, Burgert-Brucker, Clara R, Jimenez, Cristina, Bakhtiari, Ana, Willis, Rebecca, Bejiga, Michael Dejene, Mpyet, Caleb, Ngondi, Jeremiah, Boyd, Sarah, Abdala, Mariamo, Abdou, Amza, Adamu, Yilikal, Alemayehu, Addisu, Alemayehu, Wondu, Al-Khatib, Tawfik, Apadinuwe, Sue-Chen, Awaca, Naomie, Awoussi, Marcel S, Baayendag, Gilbert, Badiane, Mouctar Dieng, Bailey, Robin L, Batcho, Wilfrid, Bay, Zulficar, Bella, Assumpta, Beido, Nassirou, Bol, Yak Yak, Bougouma, Clarisse, Brady, Christopher J, Bucumi, Victor, Butcher, Robert, Cakacaka, Risiate, Cama, Anaseini, Camara, Mamoudou, Cassama, Eunice, Chaora, Shorai Grace, Chebbi, Amel Chenaoui, Chisambi, Alvin Blessings, Chu, Brian, Conteh, Abdulai, Coulibaly, Sidi Mohamed, Courtright, Paul, Dalmar, Abdi, Dat, Tran Minh, Davids, Thully, Djaker, Mohamed El Amine, de Fátima Costa Lopes, Maria, Dézoumbé, Djore, Dodson, Sarity, Downs, Philip, Eckman, Stephanie, Elshafie, Bilghis Elkhair, Elmezoghi, Mourad, Elvis, Ange Aba, Emerson, Paul, Epée, Emilienne EE, Faktaufon, Daniel, Fall, Mawo, Fassinou, Aréty, Fleming, Fiona, Flueckiger, Rebecca, Gamael, Koizan Kadjo, Garae, Mackline, Garap, Jambi, Gass, Katie, Gebru, Genet, Gichangi, Michael M, Giorgi, Emanuele, Goépogui, André, Gómez, Daniela Vaz Ferreira, Gómez Forero, Diana Paola, Gower, Emily W, Harte, Anna, Henry, Rob, Honorio-Morales, Harvy Alberto, Ilako, Dunera R, Issifou, Amadou Alfa Bio, Jones, Ellen, Kabona, George, Kabore, Martin, Kadri, Boubacar, Kalua, Khumbo, Kanyi, Sarjo Kebba, Kebede, Shambel, Kebede, Fikreab, Keenan, Jeremy D, Kello, Amir B, Khan, Asad Aslam, Khelifi, Houria, Kilangalanga, Janvier, Kim, Sung Hye, Ko, Robert, Lewallen, Susan, Lietman, Thomas, Logora, Makoy Samuel Yibi, Lopez, Yuri A, MacArthur, Chad, Macleod, Colin, Makangila, Felix, Mariko, Brehima, Martin, Diana L, Masika, Michael, Massae, Patrick, Massangaie, Marilia, Matendechero, Hadley S, Mathewos, Tsedeke, McCullagh, Siobhain, Meite, Aboulaye, Mendes, Elsa Palma, Abdi, Hirpa M, Miller, Hollman, Minnih, Abdellahi, Mishra, Sailesh Kumar, Molefi, Tuduetso, Mosher, Aryc, M’Po, Nerkoua, Mugume, Francis, Mukwiza, Robson, Mwale, Consity, Mwatha, Stephen, Mwingira, Upendo, Nash, Scott D, Nassa, Christophe, Negussu, Nebiyu, Nieba, Cece, Noah Noah, Jean Claude, Nwosu, Christian O, Olobio, Nicholas, Opon, Rapheal, Pavluck, Alexandre, Phiri, Isaac, Rainima-Qaniuci, Merelesita, Renneker, Kristen K, Saboyá-Díaz, Martha Idalí, Sakho, Fatoumata, Sanha, Salimato, Sarah, Virginia, Sarr, Boubacar, Szwarcwald, Celia L, Shah Salam, Ahmad, Sharma, Shekhar, Seife, Fikre, Serrano Chavez, Gloria Marina, Sissoko, Mactar, Sitoe, Henis Mior, Sokana, Oliver, Tadesse, Fentahun, Taleo, Fasiah, Talero, Sandra Liliana, Tarfani, Youcef, Tefera, Amsayaw, Tekeraoi, Rabebe, Tesfazion, Andeberhan, Traina, Abubaker, Traoré, Lamine, Trujillo-Trujillo, Julián, Tukahebwa, Edridah M, Vashist, Praveen, Wanyama, Ernest B, Warusavithana, Supriya D.P., Watitu, Titus K, West, Sheila, Win, Ye, Woods, Geordie, Yajima, Aya, Yaya, Georges, Zecarias, Alem, Zewengiel, Solomon, Zoumanigui, Akoi, Hooper, Pamela J, Millar, Tom, Rotondo, Lisa, Solomon, Anthony W, Harding-Esch, Emma M, Burgert-Brucker, Clara R, Jimenez, Cristina, Bakhtiari, Ana, Willis, Rebecca, Bejiga, Michael Dejene, Mpyet, Caleb, Ngondi, Jeremiah, Boyd, Sarah, Abdala, Mariamo, Abdou, Amza, Adamu, Yilikal, Alemayehu, Addisu, Alemayehu, Wondu, Al-Khatib, Tawfik, Apadinuwe, Sue-Chen, Awaca, Naomie, Awoussi, Marcel S, Baayendag, Gilbert, Badiane, Mouctar Dieng, Bailey, Robin L, Batcho, Wilfrid, Bay, Zulficar, Bella, Assumpta, Beido, Nassirou, Bol, Yak Yak, Bougouma, Clarisse, Brady, Christopher J, Bucumi, Victor, Butcher, Robert, Cakacaka, Risiate, Cama, Anaseini, Camara, Mamoudou, Cassama, Eunice, Chaora, Shorai Grace, Chebbi, Amel Chenaoui, Chisambi, Alvin Blessings, Chu, Brian, Conteh, Abdulai, Coulibaly, Sidi Mohamed, Courtright, Paul, Dalmar, Abdi, Dat, Tran Minh, Davids, Thully, Djaker, Mohamed El Amine, de Fátima Costa Lopes, Maria, Dézoumbé, Djore, Dodson, Sarity, Downs, Philip, Eckman, Stephanie, Elshafie, Bilghis Elkhair, Elmezoghi, Mourad, Elvis, Ange Aba, Emerson, Paul, Epée, Emilienne EE, Faktaufon, Daniel, Fall, Mawo, Fassinou, Aréty, Fleming, Fiona, Flueckiger, Rebecca, Gamael, Koizan Kadjo, Garae, Mackline, Garap, Jambi, Gass, Katie, Gebru, Genet, Gichangi, Michael M, Giorgi, Emanuele, Goépogui, André, Gómez, Daniela Vaz Ferreira, Gómez Forero, Diana Paola, Gower, Emily W, Harte, Anna, Henry, Rob, Honorio-Morales, Harvy Alberto, Ilako, Dunera R, Issifou, Amadou Alfa Bio, Jones, Ellen, Kabona, George, Kabore, Martin, Kadri, Boubacar, Kalua, Khumbo, Kanyi, Sarjo Kebba, Kebede, Shambel, Kebede, Fikreab, Keenan, Jeremy D, Kello, Amir B, Khan, Asad Aslam, Khelifi, Houria, Kilangalanga, Janvier, Kim, Sung Hye, Ko, Robert, Lewallen, Susan, Lietman, Thomas, Logora, Makoy Samuel Yibi, Lopez, Yuri A, MacArthur, Chad, Macleod, Colin, Makangila, Felix, Mariko, Brehima, Martin, Diana L, Masika, Michael, Massae, Patrick, Massangaie, Marilia, Matendechero, Hadley S, Mathewos, Tsedeke, McCullagh, Siobhain, Meite, Aboulaye, Mendes, Elsa Palma, Abdi, Hirpa M, Miller, Hollman, Minnih, Abdellahi, Mishra, Sailesh Kumar, Molefi, Tuduetso, Mosher, Aryc, M’Po, Nerkoua, Mugume, Francis, Mukwiza, Robson, Mwale, Consity, Mwatha, Stephen, Mwingira, Upendo, Nash, Scott D, Nassa, Christophe, Negussu, Nebiyu, Nieba, Cece, Noah Noah, Jean Claude, Nwosu, Christian O, Olobio, Nicholas, Opon, Rapheal, Pavluck, Alexandre, Phiri, Isaac, Rainima-Qaniuci, Merelesita, Renneker, Kristen K, Saboyá-Díaz, Martha Idalí, Sakho, Fatoumata, Sanha, Salimato, Sarah, Virginia, Sarr, Boubacar, Szwarcwald, Celia L, Shah Salam, Ahmad, Sharma, Shekhar, Seife, Fikre, Serrano Chavez, Gloria Marina, Sissoko, Mactar, Sitoe, Henis Mior, Sokana, Oliver, Tadesse, Fentahun, Taleo, Fasiah, Talero, Sandra Liliana, Tarfani, Youcef, Tefera, Amsayaw, Tekeraoi, Rabebe, Tesfazion, Andeberhan, Traina, Abubaker, Traoré, Lamine, Trujillo-Trujillo, Julián, Tukahebwa, Edridah M, Vashist, Praveen, Wanyama, Ernest B, Warusavithana, Supriya D.P., Watitu, Titus K, West, Sheila, Win, Ye, Woods, Geordie, Yajima, Aya, Yaya, Georges, Zecarias, Alem, Zewengiel, Solomon, Zoumanigui, Akoi, Hooper, Pamela J, Millar, Tom, Rotondo, Lisa, and Solomon, Anthony W
- Abstract
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. 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. Between 29 February 2016 and 24 April 2023, 3373 trachoma surveys across 50 countries have been supported, resulting in 10,818,502 people being examined for trachoma. 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.
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- 2023
31. Gender differences in the surgical management of trachomatous trichiasis: an exploratory analysis of global trachoma survey data, 2015–2019.
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Sullivan, Kristin M, Harding-Esch, Emma M, Batcho, Wilfrid E, Issifou, Amadou A Bio, Lopes, Maria de Fátima Costa, Szwarcwald, Celia Landmann, Gomez, Daniela Vaz Ferreira, Bougouma, Clarisse, Christophe, Nassa, Kabore, Martin, Bucumi, Victor, Bella, Assumpta L, Epee, Emilienne, Yaya, Georges, Trujillo-Trujillo, Julian, Dejene, Michael, Gebretsadik, Fikre Seife, Gebru, Genet, Kebede, Fikreab, and Mathewos, Tsedeke
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OPHTHALMIC surgery , *TRACHOMA , *CONFIDENCE intervals , *HAIR removal , *VISION disorders , *CHLAMYDIA trachomatis - Abstract
Background Trachomatous trichiasis (TT) is a painful, potentially blinding eye condition that can be managed through epilation or surgery. Women are affected by TT approximately twice as often as men and are believed to face gendered barriers to receiving surgical care to prevent vision loss. Methods We used data from 817 cross-sectional surveys conducted during 2015–2019 in 20 African countries to estimate the prevalence difference (PD) between female and male eyes for four outcomes potentially indicating gender-related differences in TT management: (1) received surgery and developed postoperative TT (PTT), (2) never offered surgery, (3) offered surgery but declined it, and (4) offered epilation but never offered surgery. Results The prevalence was modestly elevated among female eyes compared with male eyes for having PTT (PD:1.8 [95% confidence limits (CL): 0.6, 3.0]) and having declined surgery for the eye (PD: 6.2 [95% CL: 1.8, 10.7]). The proportion offered epilation was similar by gender (PD:0.5 [95% CL: −0.4, 1.3]), while never having been offered surgery was somewhat more prevalent among male eyes (PD: −2.1 [95% CL: −3.5, −0.7]). Conclusions Our results suggest potential gender differences in TT management. More research is needed to determine the causes and implications of the observed differences. [ABSTRACT FROM AUTHOR]
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- 2023
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32. High prevalence of trachomatous inflammation–follicular with no trachomatous trichiasis: can alternative indicators explain the epidemiology of trachoma in Côte d'Ivoire?
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Atekem, Kareen, Harding-Esch, Emma M, Martin, Diana L, Downs, Philip, Palmer, Stephanie L, Kaboré, Achille, Kelly, Michaela, Bovary, Anoma, Sarr, Astou, Nguessan, Konan, James, Fiona, Gwyn, Sarah, Wickens, Karana, Bakhtiari, Ana, Boyd, Sarah, Aba, Ange, Senyonjo, Laura, Courtright, Paul, and Meite, Aboulaye
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TRACHOMA , *CHLAMYDIA trachomatis , *CHLAMYDIA infections , *EPIDEMIOLOGY , *CLUSTER sampling - Abstract
Baseline trachoma surveys in Côte d'Ivoire (2019) identified seven evaluation units (EUs) with a trachomatous inflammation–follicular (TF) prevalence ≥10%, but a trachomatous trichiasis (TT) prevalence in individuals ≥15 y of age below the elimination threshold (0.2%). Two of these EUs, Bondoukou 1 and Bangolo 2, were selected for a follow-up survey to understand the epidemiology of trachoma using additional indicators of Chlamydia trachomatis infection (DNA from conjunctival swabs) and exposure (anti-Pgp3 and Ct694 antibodies from dried blood spots [DBSs]). A two-stage cluster sampling methodology was used to select villages and households. All individuals 1–9 y of age from each selected household were recruited, graded for trachoma and had a conjunctival swab and DBS collected. Conjunctival swabs and DBSs were tested using Cepheid GeneXpert and a multiplex bead assay, respectively. The age-adjusted TF and infection prevalence in 1- to 9-year-olds was <1% and <0.3% in both EUs. Age-adjusted seroprevalence was 5.3% (95% confidence interval [CI] 1.5 to 15.6) in Bondoukou 1 and 8.2% (95% CI 4.3 to 13.7) in Bangolo 2. The seroconversion rate for Pgp3 was low, at 1.23 seroconversions/100 children/year (95% CI 0.78 to 1.75) in Bondoukou 1 and 1.91 (95% CI 1.58 to 2.24) in Bangolo 2. Similar results were seen for CT694. These infection, antibody and clinical data provide strong evidence that trachoma is not a public health problem in either EU. [ABSTRACT FROM AUTHOR]
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- 2023
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33. Prevalence of Trachoma in 72 Districts of Afghanistan in 2018−2019: Results of 35 Population-based Prevalence Surveys.
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Salam, Ahmad Shah, Qayumi, Rafiqullah, Majeed Siddiqi, Abdul, Naseem, Mohammad, Mansoor, Mirwais, Butcher, Robert, Bakhtiari, Ana, Renneker, Kristen, Willis, Rebecca, Jimenez, Cristina, Dejene, Michael, Safi, Naimullah, Heggen, Anne, Solomon, Anthony W., Harding-Esch, Emma M., and Alizoi, Najeebullah
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SANITATION ,TRACHOMA ,NEGLECTED diseases - Abstract
To determine where interventions are needed to eliminate trachoma as a public health problem, prevalence data are needed. We aimed to generate baseline population-based data on trachoma prevalence in suspected-endemic areas of Afghanistan. Cross-sectional population-based prevalence surveys designed according to World Health Organization (WHO) recommendations were conducted in 35 evaluation units (EUs) covering 72 districts. In selected households, all resident individuals aged ≥1 year were examined for trachomatous inflammation—follicular (TF) and trachomatous trichiasis (TT) according to the WHO simplified trachoma grading system. Water, sanitation and hygiene access was assessed in households of survey participants. 104,104 people aged ≥1 year were examined, including 43,774 children aged 1–9 years and 46,439 people aged ≥15 years. The age-adjusted prevalence of TF in 1–9-year-olds was ≥5% in 3 EUs, with the highest EU TF prevalence being 7.8%. The age- and gender-adjusted prevalence of TT unknown to the health system in ≥15-year-olds was <0.2% in all EUs. The majority of households had access to an improved water source within 30 minutes of the house. However, only a minority of households had an improved latrine and/or a handwash station. Trachoma is not a public health problem in the majority of EUs surveyed. However, antibiotic mass drug administration, promotion of facial cleanliness and environmental improvement (the A, F and E components of the SAFE strategy) are needed for trachoma elimination purposes in three of the EUs surveyed in Afghanistan. [ABSTRACT FROM AUTHOR]
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- 2023
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34. Baseline Prevalence of Trachoma in 21 Local Government Areas of Adamawa State, North East Nigeria.
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Adamu, Mohammed Dantani, Mohammed Jabo, Aliyu, Orji, Philomena, Zhang, Yaobi, Isiyaku, Sunday, Olobio, Nicholas, Muhammad, Nasiru, Barem, Buwalky, Willis, Rebecca, Bakhtiari, Ana, Jimenez, Cristina, Solomon, Anthony W., Harding-Esch, Emma M., and Mpyet, Caleb D.
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TRACHOMA ,LOCAL government ,SANITATION ,CLUSTER sampling ,TOILETS ,SAMPLING (Process) - Abstract
To determine the prevalence of trachoma in each of the 21 local government areas (LGAs) of Adamawa State, Nigeria. A population-based cross-sectional survey was conducted in each of the 21 LGAs of Adamawa State between 2017 and 2019. With the support of Tropical Data (TD), surveys were planned and implemented in accordance with World Health Organization (WHO) recommendations. A two-stage cluster sampling technique was used in each LGA, 25 or 30 clusters were selected with a probability of selection proportionate to cluster size, and in each of these clusters, 25 or 30 households were enrolled for the survey. All residents aged 1 year and older within selected households were examined by TD-certified graders for trachomatous inflammation – follicular (TF) and trachomatous trichiasis (TT) using the WHO simplified grading scheme. Additionally, data were collected on household water and sanitation access. All 21 LGAs had TF prevalence in 1–9-year-olds below 5%. The prevalence of TT unknown to the health system in people aged ≥15 years was ≥0.2% in three of the 21 LGAs. Access to improved water and sanitation facilities was <80% in the majority of the surveyed LGAs. Only 12 of the 21 LGAs had ≥50% household-level improved latrine access, and only Yola North had ≥80% household-level improved latrine access. There is no need for mass treatment with antibiotics for trachoma elimination purposes in any of these LGAs. There is a need for active TT case finding and provision of community-based TT surgical services in three LGAs. Furthermore, engagement with water and sanitation agencies is needed to augment access to improved water and sanitation facilities across the State; this will help to avoid the recrudescence of active trachoma in the State. [ABSTRACT FROM AUTHOR]
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- 2023
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35. Prevalence of Trachoma following Implementation of the SAFE Strategy in Three Local Government Areas of Taraba State, North Eastern Nigeria.
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Olamiju, Francisca, Isiyaku, Sunday, Olobio, Nicholas, Mogaji, Hammed, Achu, Ijeoma, Muhammad, Nasiru, Boyd, Sarah, Bakhtiari, Ana, Ebenezer, Apake, Jimenez, Cristina, Solomon, Anthony W., Harding-Esch, Emma M., and Mpyet, Caleb D.
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TRACHOMA ,LOCAL government ,CLUSTER sampling ,DRINKING water ,AGE groups ,DRUG administration - Abstract
In 2019–2020, one round of antibiotic mass drug administration (MDA) was implemented for trachoma elimination purposes in Donga, Gashaka, and Ussa local government areas (LGAs) of Taraba State, Nigeria, following baseline surveys in 2009 (Donga and Gashaka) and 2013–2014 (Ussa). Here, trachoma prevalence post-MDA in these three LGAs is reported. In 2019 (Gashaka and Ussa) and 2020 (Donga), population-based, cross-sectional surveys were conducted following World Health Organization (WHO) guidance. A two-stage cluster sampling strategy was used. All residents of selected households aged ≥1 year were examined by Tropical Data-certified graders for trachomatous inflammation—follicular (TF) and trachomatous trichiasis (TT) using the WHO simplified trachoma grading scheme. Data on water, sanitation, and hygiene (WASH) access were also collected. A total of 1,883 households participated. From these households, 4,885 children aged 1–9 years were enumerated, and 4,866 (99.6%) examined. There were 5,050 eligible adults (aged ≥15 years) enumerated in the same households, of whom 4,888 (96.8%) were examined. Age-adjusted TF prevalence in children aged 1–9 years was 0.22% (95% CI: 0.00–0.65) in Donga, 0.0% in Gashaka, and 0.19% (95% CI: 0.00–0.44) in Ussa. The age- and gender-adjusted TT prevalence unknown to the health system in adults aged ≥15 years was 0.08% (95% CI: 0.00–0.19) in Donga, 0.02% (95% CI: 0.00–0.06) in Gashaka, and 0.10% (95% CI: 0.01–0.18) in Ussa. In Donga, Gashaka, and Ussa, respectively, 66%, 49% and 63% of households had access to an improved drinking water source, and 68%, 56% and 29% had access to an improved latrine. In all LGAs, the elimination thresholds for TF and TT unknown to the health system have been attained in the target age groups. These LGAs should be re-surveyed after 2 years to show that reductions in TF prevalence have been sustained in the absence of MDA. Health authorities should continue to improve WASH facilities to reduce the risk of later recrudescence. [ABSTRACT FROM AUTHOR]
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- 2023
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36. Baseline Prevalence of Trachoma in 13 Local Government Areas of Borno State, Nigeria.
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Adamu, Mohammed Dantani, Mohammed Jabo, Aliyu, Orji, Philomena, Zhang, Yaobi, Isiyaku, Sunday, Olobio, Nicholas, Muhammad, Nasiru, Mshelia Auta, Lawi, Willis, Rebecca, Bakhtiari, Ana, Jimenez, Cristina, Solomon, Anthony W., Harding-Esch, Emma M., and Mpyet, Caleb D.
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TRACHOMA ,LOCAL government ,STATISTICAL sampling ,DRUG administration ,TOILETS - Abstract
We set out to determine the baseline prevalence of trachoma in 13 Local Government Areas (LGAs) of Borno State, Nigeria. A population-based cross-sectional survey was conducted in each of 13 LGAs from 2017 to 2019, with the support of Tropical Data (TD). World Health Organization (WHO)-recommended protocols were used. With a probability-proportional-to-size systematic sampling method, 25 villages were selected per LGA in 2017 and 30 villages per LGA in 2019; in each village, 25 households were enrolled for 2017 surveys, while 30 were enrolled for 2019 surveys. All present, consenting residents aged ≥1 year were examined by TD-certified graders for trachomatous inflammation—follicular (TF) and trachomatous trichiasis (TT) using the WHO simplified grading scheme. Additionally, we collected data on household-level access to water, sanitation and hygiene (WASH) facilities. One LGA (Magumeri) had TF prevalence in 1–9-year-olds ≥10%; two other LGAs (Monguno and Kaga) had TF prevalence between 5.0% and 9.9%. The prevalence of TT unknown to the health system was ≥0.2% in six LGAs. The proportion of households with access to improved water sources ranged from 30% (Kwaya Kusar) to 95% (Monguno); household-level access to improved latrines was lowest in Shani (7%) and highest in Maiduguri (95%). Active TT case finding and strengthening of TT surgical services are needed in six LGAs. Mass drug administration (MDA) of antibiotics is needed in three LGAs to reduce the prevalence of active trachoma to below elimination thresholds. The trachoma elimination programme should engage WASH agencies to augment access to improved WASH facilities. [ABSTRACT FROM AUTHOR]
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- 2023
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37. Trachoma Prevalence in Four Localities of Darfur Region, Sudan, following One Round of Antibiotic Mass Drug Administration.
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Elshafie, Balgesa E, Elsanosi, Mazin Salih Abdalla, El Amin, Atif, Butcher, Robert, Willis, Rebecca, Bakhtiari, Ana, Jimenez, Cristina, Dejene, Michael, Solomon, Anthony W, Harding-Esch, Emma M, and Binnawi, Kamal H
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DRUG administration ,TRACHOMA ,DISEASE relapse ,ANTIBIOTICS ,CLUSTER sampling - Abstract
The prevalence of trachomatous inflammation—follicular (TF) in 1–9-year-olds and of trachomatous trichiasis (TT) in ≥15-year-olds in four endemic evaluation units (EUs) of Darfur region, Sudan, was measured more than a year after the required single round of antibiotic mass drug administration (MDA). Surveys were conducted using highly standardised, World Health Organization-recommended methodologies. Individuals aged ≥1 year, resident in selected households, were chosen for the survey using a two-stage cluster sampling process. Consenting adults and children were examined for the signs TF and TT by graders trained to international standards. Prevalence of disease in key indicator groups was calculated and weighted to the underlying population structure. A mean of 1,415 (range: 1,253–1,611) children aged 1–9 years were examined in each EU. The age-adjusted prevalence of TF in 1–9-year-olds in each of the four surveyed EUs was <5%. A mean of 1,139 people aged ≥15 years (range: 1,080–1,201) were examined in each EU. The estimated age- and gender-adjusted prevalence of TT in ≥15-year-olds was <0.2% in all four EUs. In general, the proportion of households with access to improved WASH facilities was generally lower in this study than in corresponding baseline studies. No further MDA should be conducted in these four EUs for the next 2 years, at which point they should be re-surveyed to determine whether the prevalence of TF in 1–9-year-olds has remained <5%. Active TT case-finding is also not indicated. Environmental improvement and promotion of facial cleanliness measures should continue to be implemented to prevent disease recrudescence. [ABSTRACT FROM AUTHOR]
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- 2023
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38. Prevalence of trachoma in Somali region, Ethiopia: results from trachoma impact surveys in 50 woredas.
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Gebreselassie, Getachew, Negash, Kasahun, Tsegaye, Sentayehu, Makonnen, Misrak, Deneke, Baye, Desalegn, Muluken, Harding-Esch, Emma M, Harte, Anna, Solomon, Anthony W, Boyd, Sarah, Bakhtiari, Ana, Hassen, Mussie Abdosh, Hambali, Abdulahi, Dejene, Michael, Beckwith, Colin, Tadesse, Fentahun, Seifu, Fikre, Kiflu, Genet, and Kebede, Fikreab
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TRACHOMA ,DRINKING water ,DRUG administration ,HYGIENE ,TOILETS - Abstract
Background Following interventions to eliminate trachoma in Somali region, Ethiopia, we aimed to re-estimate the prevalence of trachomatous trichiasis (TT) and trachomatous inflammation—follicular (TF) at woreda level and identify the factors associated with the disease. Methods We implemented cross-sectional community-based surveys in 50 trachoma-endemic woredas, using a standardized survey. Households were the secondary sampling unit. Surveys were undertaken through a combination of interviews of household heads and direct inspection of water, sanitation and hygiene (WASH) access, plus clinical evaluation of eligible household members for TT and TF. Results Overall, 41 (82%) of the 50 woredas had met the WHO-recommended active trachoma elimination threshold (prevalence of TF <5% in 1–9-y-olds) and 42 (84%) had met the TT threshold (prevalence of TT unknown to the health system <0.2% in ≥15-y-olds). Only 18% of households had access to an improved drinking water source within a 30-min trip and only 25% had an improved latrine. Conclusions Additional rounds of antibiotic mass drug administration, plus interventions to enhance facial cleanliness and improve the environment, are required in nine woredas. TT surgical campaigns are needed in eight woredas. Greater access to WASH is required across all the woredas that were surveyed. [ABSTRACT FROM AUTHOR]
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- 2023
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39. Prevalence of Trachoma in Four Evaluation Units in Yemen after Implementation of Trachoma Elimination Measures
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Al-Khateeb, Tawfik, primary, Al-Haidari, Sami, additional, Butcher, Robert, additional, Rajamani, Anusha, additional, Mahdy, Mohammed Abdu Khalid, additional, Jimenez, Cristina, additional, Dejene, Michael, additional, Boyd, Sarah, additional, Bakhtiari, Ana, additional, Solomon, Anthony W., additional, Thabit, Adnan, additional, Harding-Esch, Emma M., additional, and Al-Shami, Rasheed, additional
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- 2023
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40. Exploring water, sanitation, and hygiene coverage targets for reaching and sustaining trachoma elimination: G-computation analysis
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Sullivan, Kristin M., primary, Harding-Esch, Emma M., additional, Keil, Alexander P., additional, Freeman, Matthew C., additional, Batcho, Wilfrid E., additional, Bio Issifou, Amadou A., additional, Bucumi, Victor, additional, Bella, Assumpta L., additional, Epee, Emilienne, additional, Bobo Barkesa, Segni, additional, Seife Gebretsadik, Fikre, additional, Sanha, Salimato, additional, Kalua, Khumbo M., additional, Masika, Michael P., additional, Minnih, Abdallahi O., additional, Abdala, Mariamo, additional, Massangaie, Marília E., additional, Amza, Abdou, additional, Kadri, Boubacar, additional, Nassirou, Beido, additional, Mpyet, Caleb D., additional, Olobio, Nicholas, additional, Badiane, Mouctar D., additional, Elshafie, Balgesa E., additional, Baayenda, Gilbert, additional, Kabona, George E., additional, Kaitaba, Oscar, additional, Simon, Alistidia, additional, Al-Khateeb, Tawfik Q., additional, Mwale, Consity, additional, Bakhtiari, Ana, additional, Westreich, Daniel, additional, Solomon, Anthony W., additional, and Gower, Emily W., additional
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- 2023
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41. Prevalence of Trachoma after Implementation of Trachoma Elimination Interventions in Oromia Regional State, Ethiopia: Results of Impact Surveys in 131 Evaluation Units Covering 139 Districts
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Miecha, Hirpa, primary, Dejene, Michael, additional, Adugna, Dereje, additional, Kebede, Ageru, additional, Yadeta, Damtew, additional, Alemayehu, Addisu, additional, Abateneh, Aemero, additional, Wondimu, Asfaw, additional, Dayessa, Mihiret, additional, Shafi, Muhammed, additional, Taye, Emawayish, additional, Balcha, Leta, additional, Gadisa, Solomon, additional, Negussu, Nebiyu, additional, Mengistu, Belete, additional, Willis, Rebecca, additional, Jimenez, Cristina, additional, Bakhtiari, Ana, additional, Boyd, Sarah, additional, Kebede, Biruk, additional, Tadesse, Fantahun, additional, Mamo, Ayele, additional, Bekele, Mengistu, additional, Sinke, Zelalem, additional, Solomon, Anthony W., additional, and Harding-Esch, Emma M., additional
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- 2022
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42. Prevalence of Trachoma in Pre-validation Surveillance Surveys in 11 Evaluation Units (Covering 12 Districts) in Oromia Regional State, Ethiopia: Results from 2018−2020
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Miecha, Hirpa, primary, Dejene, Michael, additional, Adugna, Dereje, additional, Kebede, Ageru, additional, Yadeta, Damtew, additional, Alemayehu, Addisu, additional, Abateneh, Aemero, additional, Dayessa, Mihiret, additional, Shafi, Muhammed, additional, Taye, Emawayish, additional, Balcha, Leta, additional, Negussu, Nebiyu, additional, Mengistu, Belete, additional, Willis, Rebecca, additional, Jimenez, Cristina, additional, Bakhtiari, Ana, additional, Boyd, Sarah, additional, Kebede, Biruk, additional, Tadesse, Fantahun, additional, Mamo, Ayele, additional, Bekele, Mengistu, additional, Sinke, Zelalem, additional, Solomon, Anthony W., additional, and Harding-Esch, Emma M., additional
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- 2022
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43. Prevalence of Trachoma in Benishangul Gumuz Region, Ethiopia, after Implementation of the SAFE Strategy: Results of Four Population-Based Surveys
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Mengistu, Belete, primary, Wirtu, Fikru, additional, Alemayehu, Addisu, additional, Alene, Shigute, additional, Asmare, Aemiro, additional, Backers, Sharone, additional, Bakhtiari, Ana, additional, Brady, Molly, additional, Butcher, Robert M. R., additional, Dayessa, Mihiret, additional, Frawley, Hannah, additional, Gebru, Genet, additional, Jimenez, Cristina, additional, Kebede, Fikreab, additional, Kejela, Asfaw, additional, McPherson, Scott, additional, Mihret, Addisalem, additional, Negussu, Nebiyu, additional, Ngondi, Jeremiah M., additional, Taddese, Fentahun, additional, Willis, Rebecca, additional, Wondimu, Asfaw, additional, Dejene, Michael, additional, Solomon, Anthony W., additional, and Harding-Esch, Emma M., additional
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- 2022
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44. Baseline Prevalence of Trachoma in 13 Local Government Areas of Borno State, Nigeria
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Adamu, Mohammed Dantani, primary, Mohammed Jabo, Aliyu, additional, Orji, Philomena, additional, Zhang, Yaobi, additional, Isiyaku, Sunday, additional, Olobio, Nicholas, additional, Muhammad, Nasiru, additional, Mshelia Auta, Lawi, additional, Willis, Rebecca, additional, Bakhtiari, Ana, additional, Jimenez, Cristina, additional, Solomon, Anthony W., additional, Harding-Esch, Emma M., additional, and Mpyet, Caleb D., additional
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- 2022
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45. Impact of deploying multiple point-of-care tests with a ‘sample first’ approach on a sexual health clinical care pathway. A service evaluation
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Harding-Esch, Emma M, Nori, Achyuta V, Hegazi, Aseel, Pond, Marcus J, Okolo, Olanike, Nardone, Anthony, Lowndes, Catherine M, Hay, Phillip, and Sadiq, S Tariq
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- 2017
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46. Self-sampling and self-testing for STIs and HIV: the case for consistent nomenclature
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Harding-Esch, Emma M, Hollis, Emma, Mohammed, Hamish, and Saunders, John M
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- 2017
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47. Correction to: Model-based geostatistics enables more precise estimates of neglected tropical-disease prevalence in elimination settings: mapping trachoma prevalence in Ethiopia
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Amoah, Benjamin, primary, Fronterre, Claudio, additional, Johnson, Olatunji, additional, Dejene, Michael, additional, Seife, Fikre, additional, Negussu, Nebiyu, additional, Bakhtiari, Ana, additional, Harding-Esch, Emma M, additional, Giorgi, Emanuele, additional, Solomon, Anthony W, additional, and Diggle, Peter J, additional
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- 2022
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48. Correction to: Model-based geostatistics enables more precise estimates of neglected tropical-disease prevalence in elimination settings: mapping trachoma prevalence in Ethiopia
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Amoah, Benjamin, Fronterre, Claudio, Johnson, Olatunji, Dejene, Michael, Seife, Fikre, Negussu, Nebiyu, Bakhtiari, Ana, Harding-Esch, Emma M, Giorgi, Emanuele, Solomon, Anthony W, Diggle, Peter J, Amoah, Benjamin, Fronterre, Claudio, Johnson, Olatunji, Dejene, Michael, Seife, Fikre, Negussu, Nebiyu, Bakhtiari, Ana, Harding-Esch, Emma M, Giorgi, Emanuele, Solomon, Anthony W, and Diggle, Peter J
- Abstract
In the originally published version of this manuscript, a funding statement and disclaimer were omitted in error. The following passages have been added to the Funding section: a note reading “AWS is a staff member of the World Health Organization.” a disclaimer reading, “The authors alone are responsible for the views expressed in this article and they do not necessarily represent the views, decisions or policies of the institutions with which they are affiliated. The boundaries and names shown and the designations used on the maps in this article do not imply the expression of any opinion whatsoever on the part of the authors, or the institutions with which they are affiliated, concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.” These errors have been corrected online.
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- 2022
49. Model-based geostatistics enables more precise estimates of neglected tropical-disease prevalence in elimination settings:mapping trachoma prevalence in Ethiopia
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Amoah, Benjamin, Fronterre, Claudio, Johnson, Olatunji, Dejene, Michael, Seife, Fikre, Negussu, Nebiyu, Bakhtiari, Ana, Harding-Esch, Emma M., Giorgi, Emanuele, Solomon, Anthony W., Diggle, Peter, Amoah, Benjamin, Fronterre, Claudio, Johnson, Olatunji, Dejene, Michael, Seife, Fikre, Negussu, Nebiyu, Bakhtiari, Ana, Harding-Esch, Emma M., Giorgi, Emanuele, Solomon, Anthony W., and Diggle, Peter
- Abstract
Background As the prevalences of neglected tropical diseases reduce to low levels in some countries, policymakers require precise disease estimates to decide whether the set public health targets have been met. At low prevalence levels, traditional statistical methods produce imprecise estimates. More modern geospatial statistical methods can deliver the required level of precision for accurate decision-making. Methods Using spatially referenced data from 3567 cluster locations in Ethiopia in the years 2017, 2018 and 2019, we developed a geostatistical model to estimate the prevalence of trachomatous trichiasis and to calculate the probability that the trachomatous trichiasis component of the elimination of trachoma as a public health problem has already been achieved for each of 482 evaluation units. We also compared the precision of traditional and geostatistical approaches by the ratios of the lengths of their 95% predictive intervals. Results The elimination threshold of trachomatous trichiasis (prevalence ≤ 0.2% in individuals aged ≥15 years) is met with a probability of 0.9 or more in 8 out of the 482 evaluation units assessed, and with a probability of ≤0.1 in 469 evaluation units. For the remaining five evaluation units, the probability of elimination is between 0.45 and 0.65. Prevalence estimates were, on average, 10 times more precise than estimates obtained using the traditional approach. Conclusions By accounting for and exploiting spatial correlation in the prevalence data, we achieved remarkably improved precision of prevalence estimates compared with the traditional approach. The geostatistical approach also delivers predictions for unsampled evaluation units that are geographically close to sampled evaluation units.
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- 2022
50. Prevalence of Trachoma from 66 Impact Surveys in 52 Woredas of Southern Nations, Nationalities and Peoples’ and Sidama Regions of Ethiopia, 2017–2019
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Seyum, Dawit, primary, Fetene, N, additional, Kifle, Tezera, additional, Negash, Habtamu, additional, Kabeto, Temesgen, additional, Gebre, Mulatu, additional, Data, Tadesse, additional, Tadele, Tafese, additional, Abayo, Getahun, additional, Wondimu, Asfaw, additional, Butcher, Robert, additional, Bakhtiari, Ana, additional, Willis, Rebecca, additional, Boyd, Sarah, additional, Jimenez, Cristina, additional, Negussu, Nebiyu, additional, Tadesse, Fentahun, additional, Kebede, Fikreab, additional, Dejene, Michael, additional, Solomon, Anthony W., additional, Harding-Esch, Emma M., additional, and Sisay, Alemayehu, additional
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- 2022
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