Literature DB >> 27775463

Prevalence of Trachoma in Katsina State, Nigeria: Results of 34 District-Level Surveys.

Caleb Mpyet1,2, Nasiru Muhammad3, Mohammed Dantani Adamu3, Habila Muazu4, Murtala Mohammad Umar5, Musa Goyol6, Uwazoeke Onyebuchi7, Ima Chima8, Haliru Idris9, Adamani William2, Sunday Isiyaku2, Benjamin Nwobi7, Rebecca Mann Flueckiger10, Rebecca Willis10, Alexandre Pavluck10, Brian K Chu10, Nicholas Olobio7, Anthony W Solomon11,12.   

Abstract

PURPOSE: To determine the local government area (LGA)-level prevalence of trachoma in all 34 LGAs of Katsina State.
METHODS: A population-based prevalence survey was conducted in each LGA of Katsina State, using the Global Trachoma Mapping Project methodology. We used a 3-stage cluster random sampling strategy to select 25 households from each of 25 clusters. We examined all residents of selected households aged 1 year and older for the clinical signs of trachomatous inflammation-follicular (TF), trachomatous inflammation-intense and trichiasis, using the World Health Organization (WHO) simplified grading scheme.
RESULTS: We examined 129,281 persons. Six LGAs had a TF prevalence ≥10%, and another six LGAs had a TF prevalence between 5% and 9.9%; all 12 require mass drug administration with azithromycin plus other interventions. The prevalence of trichiasis was ≥1.0% in 13 LGAs, and there is a need to perform trichiasis surgery in over 26,000 persons to reach targets set by the WHO for elimination of trichiasis.
CONCLUSION: The prevalence of TF is generally low in Katsina state, but urgent steps must be taken to implement the full SAFE strategy (surgery, antibiotics, facial cleanliness, environmental improvement) in at least 12 LGAs while also stepping up efforts to provide community-based trichiasis surgery throughout the whole state, in order to make trachoma elimination by 2020 a reality.

Entities:  

Keywords:  Blindness; SAFE strategy; mass drug administration; trachoma prevalence; trichiasis

Mesh:

Substances:

Year:  2016        PMID: 27775463      PMCID: PMC5751970          DOI: 10.1080/09286586.2016.1236975

Source DB:  PubMed          Journal:  Ophthalmic Epidemiol        ISSN: 0928-6586            Impact factor:   1.648


Introduction

Trachoma, caused by Chlamydia trachomatis, is spread by direct contact with ocular and nasal discharges from infected persons, by contact with fomites, and by eye-seeking muscid flies. Recurrent infections can result in scarring of the conjunctivae and inward turning of the eyelashes, which scratch the eyeball. This condition, referred to as trachomatous trichiasis, is painful and when untreated may lead to trachomatous corneal opacification, an irreversible cause of visual impairment. Blindness from trachoma can be avoided by implementation of the SAFE strategy (surgery for trichiasis, antibiotics to clear infection, and promotion of facial cleanliness and environmental improvement to reduce transmission). The SAFE strategy is recommended by the World Health Organization (WHO)[1] for elimination of trachoma as a public health problem.[2] Considerable successes have been reported with this strategy.[3-6] In Katsina State, Nigeria, trachoma was last documented about 10 years ago[7,8] in 10 local government areas (LGAs). Those data suggested that five LGAs required at least three years’ implementation of the full SAFE strategy and the other five required at least 1 year’s implementation.[8] LGAs are the normal administrative units for health care management in Nigeria, and therefore the appropriate choice as the local equivalent of the WHO-defined “district” for trachoma elimination.[9,10] However, LGA-level prevalence data have not been available for the whole state, and as a result, the SAFE strategy has not yet been fully deployed in Katsina State. This work aimed to provide the data required for planning SAFE strategy implementation throughout Katsina State, by conducting a population-based trachoma prevalence survey in each of the state’s 34 LGAs.

Materials and methods

Sample size calculation, pre-survey field team training and certification, and data collection techniques all followed the standard Global Trachoma Mapping Project (GTMP) protocols, as described elsewhere.[11] LGAs were used as evaluation units. We selected 25 clusters of 25 households in each LGA, expecting to find a mean of just over two children aged 1–9 years per household. This put 1250 children in the sampling frame per LGA. Allowing for 20% non-response, we anticipated being able to recruit the minimum sample size of 1019 children aged 1–9 years in each LGA using this approach.

Ethics

Protocols were approved by the Ethics Committee of the London School of Hygiene & Tropical Medicine (reference 6319), the National Health Research Ethics Committee of Nigeria (reference NHREC/01/01/2007), and the Katsina State Ministry of Health ethics subcommittee. The Katsina State Ministry of Health also gave administrative permission to conduct the surveys. Field teams explained the examination protocol to each adult in a language they understood. Since most study subjects could neither read nor write, only verbal consent for enrolment and examination was obtained. The head of the household gave consent for the participation of minors and adults gave consent for their own participation. Consent was documented in an Open Data Kit-based Android smartphone application (LINKS)[11] by research teams. Individuals with active trachoma were given two tubes of 1% tetracycline eye ointment together with instructions for its use, and persons with trichiasis were referred for lid surgery at the nearest facility with trained trichiasis surgeons.

Sampling

We used a 3-stage cluster sampling strategy to select the survey population in each LGA. Villages (with populations between 13,000 and 16,000 people) were used as first stage clusters and 25 villages were selected from a list of all the villages in each LGA, using a probability-proportional-to-size technique. Each selected village’s (pre-existing) administrative units, which were of approximately equal size (mean 4500 people), were listed, and one of these units was selected at random. In selected units, 25 households were required, with a household defined as all the individuals normally resident in the compound eating from the same pot. All persons older than 1 year of age in selected households were invited to participate. Because security in northern Nigeria was somewhat tenuous at the time of survey planning and implementation, use of a household selection method already familiar to the population was felt to be critical to field team safety, so the random walk approach was used despite its epidemiological drawbacks.[12-14] A person resident in the village showed the survey team the center of the administrative unit. A pen was spun on the ground at that point and the direction the pen pointed was followed, with households in this direction being selected. Field teams made an effort to return on the same day and examine persons that were absent at the first visit.

Survey definitions

We used the WHO simplified grading scheme.[15] Teams examined participants for the presence of trachomatous inflammation–follicular (TF), trachomatous inflammation–intense, and trichiasis. In eyes with trichiasis, we did not record the presence or absence of trachomatous conjunctival scarring, so in this manuscript we are only able to talk about trichiasis, rather than trachomatous trichiasis. We have reported the prevalence of TF in 1–9-year-olds and the prevalence of trichiasis in persons aged 15 years and older as our primary outcome measures for disease elimination planning purposes. Data on household-level access to water and sanitation were collected using standard GTMP protocols.[11]

Data analysis

As described previously, data were cleaned by the GTMP data manager (RW) and analyzed using pre-specified algorithms to control for age and sex of those recruited, and the number of individuals examined in each cluster[11]. The trichiasis backlog in each LGA was calculated by multiplying the prevalence estimate in persons aged 15 years and older by 56% of the total population in the LGA (as determined in the most recent census), because 56% of the Nigerian population is 15 years and older.[16]

Results

We examined a total of 129,281 persons in Katsina State between March and June 2014. The ages of participants ranged from 1 year to over 100 years. More females (69,961; 54.1%) were examined than males (59,320; 45.9%). The age and sex distributions of participants for the state as a whole are shown in Table 1.
Table 1.

Age and sex distribution of participants, Global Trachoma Mapping Project, Katsina State, Nigeria, 2014.

Age group(years)Female, n (%)Male, n (%)Total, n (%)
1–1031,835 (49.3)32,685 (50.7)64,520 (49.9)
11–209,961 (59.1)6900 (40.9)16,861 (13.0)
21–3010,852 (76.9)3261 (23.1)14,113 (10.9)
31–407766 (64.6)4256 (35.4)12,022 (9.3)
41–504631 (50.0)4638 (50.0)9269 (7.2)
51–602598 (41.2)3710 (58.8)6308 (4.9)
61–701496 (37.8)2465 (62.2)3961 (3.1)
71–80637 (37.3)1071 (62.7)1708 (1.3)
81+185 (35.6)334 (64.4)519 (0.4)
Total69,961 (54.1)59,320 (45.9)129,281 (100.0)
Age and sex distribution of participants, Global Trachoma Mapping Project, Katsina State, Nigeria, 2014. A total of 59,971 children aged 1–9 years were examined; 30,351 (50.6%) were male and 29,620 (49.4%) were female. State-wide, the prevalence of TF in this age group was 4.9% (95% confidence interval, CI, 4.7–5.1%). The prevalence in girls (4.8%, 95% CI 4.6–5.1%) was lower than in boys (4.9%, 95% CI 4.7–5.2%), but there was no statistically significant difference in TF prevalence between the sexes (odds ratio, OR, 1.02, 95% CI 0.95–1.10; χ[2] = 0.41, p = 0.52). The LGA-level age-adjusted prevalences of TF in 1–9-year-olds ranged from 0.0–29.5% (Table 2, Figure 1).
Table 2.

Local government area (LGA)-level prevalence of trachomatous inflammation–follicular (TF) and trichiasis, Global Trachoma Mapping Project, Katsina State, Nigeria, 2014.

LGAAge-adjusted TF prevalence in 1–9-year-olds, % (95% CI)Age- and sex-adjusted trichiasis prevalence in those ≥15 years, % (95% CI)
Bakori29.5 (25.5–34.6)0.0 (0.0–0.0)
Batagarawa4.7 (3.5–6.2)1.7 (1.1–2.4)
Batsari13.5 (7.6–18.9)1.7 (1.1–2.2)
Baure0.0 (0.0–0.0)3.6 (2.6–4.6)
Bindawa4.4 (3.5–5.6)0.3 (0.1–0.5)
Charanchi0.1 (0.0–0.4)0.2 (0.1–0.3)
Dan Musa3.2 (2.5–3.9)0.4 (0.1–0.7)
Dandume1.6 (0.6–3.3)0.3 (0.1–0.6)
Danja3.1 (1.9–4.2)0.3 (0.1–0.6)
Daura2.4 (1.5–3.4)2.7 (1.5–4.4)
Dutsi11.3 (8.7–13.6)1.9 (1.0–2.9)
Dutsin Ma1.5 (0.6–2.7)0.7 (0.4–1.0)
Faskari1.1 (0.5–1.8)0.0 (0.0–0.0)
Funtua10.7 (7.0–15.5)0.2 (0.1–0.4)
Ingawa12.2 (8.2–17.2)1.4 (0.9–1.9)
Jibia5.1 (4.0–6.5)0.6 (0.4–0.9)
Kafur7.0 (5.4–8.6)0.2 (0.1–0.4)
Kaita9.8 (6.4–13.6)1.1 (0.5–1.8)
Kankara6.3 (4.4–8.0)0.7 (0.3–1.2)
Kankia4.2 (2.7–6.2)0.7 (0.2–1.2)
Katsina4.4 (3.3–5.7)0.3 (0.1–0.5)
Kurfi3.3 (1.8–4.8)0.4 (0.2–0.5)
Kusada0.9 (0.6–1.3)1.0 (0.5–1.7)
Mai’Adua4.5 (3.0–6.5)3.0 (1.8–4.6)
Malumfashi0.5 (0.1–0.9)0.3 (0.0–0.9)
Mani8.1 (6.5–9.9)0.3 (0.1–0.6)
Mashi15.4 (10.9–21.5)1.2 (0.7–1.8)
Matazu0.1 (0.0–0.2)0.6 (0.2–1.1)
Musawa1.5 (0.1–4.1)0.3 (0.2–0.4)
Rimi0.2 (0.0–0.4)0.2 (0.1–0.3)
Sabuwa9.6 (6.8–12.4)0.5 (0.3–0.9)
Safana1.4 (0.9–2.0)1.7 (1.1–2.2)
Sandamu2.4 (0.9–4.2)1.6 (0.8–2.3)
Zango0.4 (0.1–0.6)2.6 (1.7–3.8)

CI, confidence interval.

Figure 1.

Prevalence of active trachoma (trachomatous inflammation–follicular, TF) in 1–9-years-olds in Katsina State, Nigeria, 2014.

Local government area (LGA)-level prevalence of trachomatous inflammation–follicular (TF) and trichiasis, Global Trachoma Mapping Project, Katsina State, Nigeria, 2014. CI, confidence interval. Prevalence of active trachoma (trachomatous inflammation–follicular, TF) in 1–9-years-olds in Katsina State, Nigeria, 2014. We examined 56,156 persons aged 15 years and older; 22,607 (40.3%) were male and 33,549 (59.7%) were female. The state-wide prevalence of trichiasis was 1.8% (95% CI 1.7–1.9%) in this age group. The trichiasis prevalence in adult females (2.1%, 95% CI 1.9–2.2%) was greater than in adult males (1.4%, 95% CI 1.3–1.6%), this difference was statistically significant, with an OR of 1.4 (95% CI 1.1–1.6; χ[2] = 37.5, p = 0.0005). The LGA-level age- and sex-adjusted prevalences of trichiasis in adults ranged from 0.0–3.6% (Table 2, Figure 2).
Figure 2.

Prevalence of trichiasis in ≥15-year-olds in Katsina State, Nigeria, 2014.

Prevalence of trichiasis in ≥15-year-olds in Katsina State, Nigeria, 2014. Six LGAs (Bakori, Batsari, Dutsi, Funtua, Ingawa, and Mashi) in Katsina State had TF prevalences ≥10%, with another six LGAs (Jibia, Kafur, Kaita, Kankara, Mani, and Sabuwa) had TF prevalences between 5% and 9.9%. The prevalence of trichiasis was ≥1% in 13 LGAs (Batagarawa, Batsari, Baure, Daura, Dutsi, Ingawa, Kaita, Kusada, Mai’ Adua, Mashi, Safana, Sandamu, and Zango). Given the estimated population of Katsina State is 5,801,584,[16] there is therefore an estimated trichiasis backlog of 32,335 persons; ignoring incident trichiasis, 26,258 people need to be offered trichiasis surgery to achieve the trichiasis prevalence criterion for elimination of trachoma as a public health problem[17] in every Katsina State LGA (Table 3).
Table 3.

Local government area (LGA)-level estimates of trichiasis surgery backlog, Global Trachoma Mapping Project, Katsina State, Nigeria, 2014.

LGAEstimated total populationTrichiasis prevalence in persons aged ≥15 years, %Estimated trichiasis backlog, nPeople to be offered trichiasis surgery to achieve the trichiasis component of “elimination of trachoma as a public health problem”, n
Bakori149,5160.000
Batagarawa189,0591.718491637
Batsari207,8741.720031770
Baure202,9413.640383811
Bindawa151,0020.324576
Charanchi136,9890.21220
Dan Musa113,1900.4229102
Dandume145,3230.322663
Danja125,4810.319554
Daura224,8842.734483196
Dutsi120,9021.912661131
Dutsin Ma169,8290.7671481
Faskari194,4000.090
Funtua225,1560.22500
Ingawa169,1481.412971107
Jibia167,4350.6572384
Kafur209,3600.226430
Kaita182,4051.11073868
Kankara243,2590.7905632
Kankia151,3950.7609440
Katsina318,1320.3604247
Kurfi116,7000.4241110
Kusada98,3481.0546435
Mai’Adua201,8003.033733147
Malumfashi182,8910.3354149
Mani176,3010.3301104
Mashi171,0701.21156965
Matazu113,8140.6371243
Musawa170,0060.3294103
Rimi154,0920.21610
Sabuwa140,6790.5428271
Safana185,2071.717561549
Sandamu136,9441.611891036
Zango156,0522.622912117
Total5,801,584 32,33526,258
Local government area (LGA)-level estimates of trichiasis surgery backlog, Global Trachoma Mapping Project, Katsina State, Nigeria, 2014. Across LGAs, the proportion of households that had access to water for hygiene purposes within 1 km of the location of the house ranged from 24% to 100%. Similarly, proximate access to improved water for hygiene purposes was as low as 10% in three LGAs. Over 80% of households had proximate access to improved washing water in only two LGAs. Access to improved latrines ranged from 1% to 100%, but only four of the 34 LGAs had >80% access to improved latrines (Table 4).
Table 4.

Household access to wash water and improved latrines, Global Trachoma Mapping Project, Katsina State, Nigeria, 2014.

LGAWash water access <1 km, %Improved wash water access <1 km, %Improved latrine access, %
Bakori69.243.034.3
Batagarawa93.133.941.0
Batsari51.631.918.0
Baure39.048.130.1
Bindawa71.046.510.4
Charanchi65.745.79.8
Dan Musa98.111.29.8
Dandume99.533.964.6
Danja73.750.755.5
Daura71.510.871.9
Dutsi52.410.457.1
Dutsin Ma76.453.829.4
Faskari65.326.930.1
Funtua100.096.444.5
Ingawa49.933.029.1
Jibia80.230.127.7
Kafur86.929.6100.0
Kaita49.261.29.7
Kankara82.735.695.0
Kankia49.148.116.7
Katsina95.318.188.7
Kurfi52.446.916.1
Kusada66.771.521.3
Mai’Adua24.028.634.4
Malumfashi93.957.047.8
Mani43.350.625.0
Mashi83.817.415.0
Matazu62.662.825.6
Musawa65.360.228.0
Rimi67.857.142.4
Sabuwa95.895.81.4
Safana65.938.311.3
Sandamu66.010.265.0
Zango49.849.881.6
Household access to wash water and improved latrines, Global Trachoma Mapping Project, Katsina State, Nigeria, 2014. Various aspects of the SAFE strategy will need to be implemented in each LGA to be able to attain the elimination thresholds recommended by WHO (Table 5).
Table 5.

SAFE strategy (surgery, antibiotics, facial cleanliness, environmental improvement) activities required to be implemented to eliminate trachoma in each local government area (LGA) of Katsina State, Nigeria, 2014.

LGAAction for surgery (S) requiredAction for A, F, and E required
BakoriFacility-based TT SImplementation of AFE for at least 3 years before impact assessment
BatagarawaHigh priority for implementation of community-based SContinued F and E activities
BatsariHigh priority for implementation of community-based SImplementation of AFE for at least 3 years before impact assessment
BaureHigh priority for implementation of community-based SContinued F and E activities
BindawaLower priority for implementation of community-based SContinued F and E activities
CharanchiFacility-based TT SContinued F and E activities
Dan MusaLower priority for implementation of community-based SContinued F and E activities
DandumeLower priority for implementation of community-based SContinued F and E activities
DanjaLower priority for implementation of community-based SContinued F and E activities
DauraHigh priority for implementation of community-based SContinued F and E activities
DutsiHigh priority for implementation of community-based SImplementation of AFE for at least 3 years before impact assessment
Dutsin MaLower priority for implementation of SContinued F and E activities
FaskariFacility-based TT SContinued F and E activities
FuntuaFacility-based TT SImplementation of AFE for at least 3 years before impact assessment
IngawaHigh priority for implementation of community-based SImplementation of AFE for at least 3 years before impact assessment
JibiaLower priority for implementation of SImplementation of AFE for at least 1 year before impact assessment
KafurFacility-based TT SImplementation of AFE for at least 1 year before impact assessment
KaitaHigh priority for implementation of community-based SImplementation of AFE for at least 1 year before impact assessment
KankaraLower priority for implementation of community-based SImplementation of AFE for at least 1 year before impact assessment
KankiaLower priority for implementation of community-based SContinued F and E activities
KatsinaLower priority for implementation of community-based SContinued F and E activities
KurfiLower priority for implementation of community-based SContinued F and E activities
KusadaHigh priority for implementation of community-based SContinued F and E activities
Mai’AduaHigh priority for implementation of community-based SContinued F and E activities
MalumfashiLower priority for implementation of community-based SContinued F and E activities
ManiLower priority for implementation of community-based SImplementation of AFE for at least 1 year before impact assessment
MashiHigh priority for implementation of community-based SImplementation of AFE for at least 3 years before impact assessment
MatazuLower priority for implementation of community based SContinued F and E activities
MusawaLower priority for implementation of community-based SContinued F and E activities
RimiFacility-based TT SContinued F and E activities.
SabuwaLower priority for implementation of community-based SImplementation of AFE for at least 1 year before impact assessment
SafanaHigh priority for implementation of community-based SContinued F and E activities
SandamuHigh priority for implementation of community-based SContinued F and E activities
ZangoHigh priority for implementation of community-based SContinued F and E activities

TT, trachomatous trichiasis.

SAFE strategy (surgery, antibiotics, facial cleanliness, environmental improvement) activities required to be implemented to eliminate trachoma in each local government area (LGA) of Katsina State, Nigeria, 2014. TT, trachomatous trichiasis.

Discussion

In Katsina State, trachoma is still a public health problem. Bakori, Batsari, Dutsi, Funtua, Ingawa and Mashi LGAs had TF prevalences in 1–9-year-olds between 10% and 29.9%, and therefore qualify for azithromycin mass drug administration (MDA) plus implementation of the F and E components of the SAFE strategy, for an initial period of 3 years, as recommended by WHO.[10] Another six LGAs had TF prevalences between 5% and 9.9% and may benefit from at least one round of MDA in addition to the F and E components of SAFE.[18] All but two of six LGAs with TF prevalences ≥10% had <80% household-level access to a proximate washing water supply, and none had ≥80% household-level access to improved latrine facilities. Some LGAs had very low prevalence of access to improved latrines, and this seemed to mirror higher prevalences of TF. The proportion of households using improved washing water in these LGAs was generally extremely low, starting from 9%. Funtua was the exception, with good reported access to water for washing, but the population in this LGA had poor access to improved latrines; all other LGAs with TF ≥10% also had poor access to improved latrines. Full implementation of the SAFE strategy in Katsina State will require a particular focus on provision of improved water and sanitation facilities. In addition to providing the hardware, communities will need to be educated on the relationship between trachoma blindness, and water and sanitation, with an emphasis on the need for facial cleanliness and appropriate disposal of solid human waste. The LGA of Kaita had a relatively low (9.8%) TF prevalence, indicating the need for intervention with only one year of MDA, but had a significant trichiasis burden, with an estimated trichiasis prevalence in adults of 1.1%. This would be consistent with the view that trachoma is disappearing from this LGA, as previously suggested.[7] In two previous surveys, Kaita was found to have a high prevalence of both TF and trichiasis.[7,8] A total of 10 LGAs in Katsina State participated in population-based trachoma prevalence surveys in 2005, using comparable methodologies to those outlined here.[7] For five of those 10, the results of the current round of surveys are similar to those obtained in 2005. For Baure, Kaita, Mai Adua, and Zango, however, the 2005 work suggested that three or more rounds of azithromycin MDA was needed, while the current data indicate that either a single round should be attempted (Kaita) or that (for the other four LGAs), implementation of the A, F and E components of SAFE is not a priority. Access to water and sanitation facilities has remained essentially the same in these LGAs in the 10-year interval between surveys, and trachoma elimination interventions have not been undertaken. We therefore attribute the apparent falls in the prevalence of TF to general socioeconomic development, or changes in population dynamics. Part of the rationale for repeating the prevalence estimates in already-surveyed areas of Katsina was the impression within government that living conditions have improved, and that therefore the scale of interventions against trachoma required could be smaller than might have been previously planned. Those suspicions about the reduction in the prevalence of TF and the scale of interventions required appear to have been borne out. Katsina State has a trichiasis backlog of over 31,000 people needing surgery. Trichiasis prevalence is >1% in adults in 13 LGAs (Batagarawa, Batsari, Baure, Daura, Dutsi, Ingawa, Kaita, Kusada, Mai’ Adua, Mashi, Safana, Sandamu, and Zango). Ignoring incident trichiasis, over 26,000 individuals will need to be offered trichiasis surgery in Katsina State in order to eliminate trachoma throughout the state. With only seven active trichiasis surgeons living in the state, this presents a considerable challenge. There is clearly a need for more trained surgeons; this should be achieved through an organized local training and certification program for active eye nurses.[19] Once trained, there is a need to ensure that each nurse is properly equipped, incentivized, deployed and supervised. Katsina State will require at least 15 lid surgeons performing at least 10 trichiasis surgeries weekly to be able to attain the elimination target for trichiasis by the year 2020 or earlier. In rolling out a trichiasis program in Katsina State, priority needs to be given to Baure, Daura, Mai’Adua, and Zango LGAs, where the prevalence of trichiasis is higher compared to the other LGAs. For the SAFE strategy to succeed in Katsina State, expansion of trichiasis surgery services, rapid implementation of high coverage azithromycin MDA, and provision and appropriate use of sanitation and water services, are required. Early and robust engagement with water and sanitation agencies will be critical, as well as focused efforts to incorporate education on trachoma and its prevention within existing health education campaigns. With less than 5 years to go before the target date for global elimination of trachoma as a public health problem, this work cannot begin too soon.
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Journal:  Ophthalmic Epidemiol       Date:  2001-07       Impact factor: 1.648

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Journal:  Ann Epidemiol       Date:  1994-07       Impact factor: 3.797

8.  Effect of 3 years of SAFE (surgery, antibiotics, facial cleanliness, and environmental change) strategy for trachoma control in southern Sudan: a cross-sectional study.

Authors:  Jeremiah Ngondi; Alice Onsarigo; Fiona Matthews; Mark Reacher; Carol Brayne; Samson Baba; Anthony W Solomon; James Zingeser; Paul M Emerson
Journal:  Lancet       Date:  2006-08-12       Impact factor: 79.321

9.  Don't spin the pen: two alternative methods for second-stage sampling in urban cluster surveys.

Authors:  Rebecca F Grais; Angela M C Rose; Jean-Paul Guthmann
Journal:  Emerg Themes Epidemiol       Date:  2007-06-01

10.  The Global Trachoma Mapping Project: Methodology of a 34-Country Population-Based Study.

Authors:  Anthony W Solomon; Alexandre L Pavluck; Paul Courtright; Agatha Aboe; Liknaw Adamu; Wondu Alemayehu; Menbere Alemu; Neal D E Alexander; Amir Bedri Kello; Berhanu Bero; Simon J Brooker; Brian K Chu; Michael Dejene; Paul M Emerson; Rebecca M Flueckiger; Solomon Gadisa; Katherine Gass; Teshome Gebre; Zelalem Habtamu; Erik Harvey; Dominic Haslam; Jonathan D King; Richard Le Mesurier; Susan Lewallen; Thomas M Lietman; Chad MacArthur; Silvio P Mariotti; Anna Massey; Els Mathieu; Addis Mekasha; Tom Millar; Caleb Mpyet; Beatriz E Muñoz; Jeremiah Ngondi; Stephanie Ogden; Joseph Pearce; Virginia Sarah; Alemayehu Sisay; Jennifer L Smith; Hugh R Taylor; Jo Thomson; Sheila K West; Rebecca Willis; Simon Bush; Danny Haddad; Allen Foster
Journal:  Ophthalmic Epidemiol       Date:  2015       Impact factor: 1.648

  10 in total
  14 in total

1.  Prevalence of Trachoma in Niger State, North Central Nigeria: Results of 25 Population-Based Prevalence Surveys Carried Out with the Global Trachoma Mapping Project.

Authors:  Mohammed Dantani Adamu; Caleb Mpyet; Nasiru Muhammad; Murtala Muhammad Umar; Habila Muazu; Francisca Olamiju; Sunday Isiyaku; Uwazoeke Onyebuchi; Usman Abubakar Bosso; Adamani William; Benjamin C Nwobi; Rebecca Willis; Rebecca Mann Flueckiger; Alexandre Pavluck; Brian K Chu; Nicholas Olobio; Anthony W Solomon
Journal:  Ophthalmic Epidemiol       Date:  2016-12-05       Impact factor: 1.648

2.  Sanitation and water supply coverage thresholds associated with active trachoma: Modeling cross-sectional data from 13 countries.

Authors:  Joshua V Garn; Sophie Boisson; Rebecca Willis; Ana Bakhtiari; Tawfik Al-Khatib; Khaled Amer; Wilfrid Batcho; Paul Courtright; Michael Dejene; Andre Goepogui; Khumbo Kalua; Biruck Kebede; Colin K Macleod; Kouakou IIunga Marie Madeleine; Mariamo Saide Abdala Mbofana; Caleb Mpyet; Jean Ndjemba; Nicholas Olobio; Alexandre L Pavluck; Oliver Sokana; Khamphoua Southisombath; Fasihah Taleo; Anthony W Solomon; Matthew C Freeman
Journal:  PLoS Negl Trop Dis       Date:  2018-01-22

3.  The cost of mapping trachoma: Data from the Global Trachoma Mapping Project.

Authors:  Guillaume Trotignon; Ellen Jones; Thomas Engels; Elena Schmidt; Deborah A McFarland; Colin K Macleod; Khaled Amer; Amadou A Bio; Ana Bakhtiari; Sarah Bovill; Amy H Doherty; Asad Aslam Khan; Mariamo Mbofana; Siobhain McCullagh; Tom Millar; Consity Mwale; Lisa A Rotondo; Angela Weaver; Rebecca Willis; Anthony W Solomon
Journal:  PLoS Negl Trop Dis       Date:  2017-10-18

4.  Oculoplastic surgical services in Nigeria: status and challenges.

Authors:  Oluwatobi O Idowu; Catherine E Oldenburg; M Reza Vagefi
Journal:  Int Ophthalmol       Date:  2019-08-22       Impact factor: 2.031

5.  Estimating the Intracluster Correlation Coefficient for the Clinical Sign "Trachomatous Inflammation-Follicular" in Population-Based Trachoma Prevalence Surveys: Results From a Meta-Regression Analysis of 261 Standardized Preintervention Surveys Carried Out in Ethiopia, Mozambique, and Nigeria.

Authors:  Colin K Macleod; Robin L Bailey; Michael Dejene; Oumer Shafi; Biruck Kebede; Nebiyu Negussu; Caleb Mpyet; Nicholas Olobio; Joel Alada; Mariamo Abdala; Rebecca Willis; Richard Hayes; Anthony W Solomon
Journal:  Am J Epidemiol       Date:  2020-01-31       Impact factor: 4.897

6.  Mapping Trachoma in Kaduna State, Nigeria: Results of 23 Local Government Area-Level, Population-Based Prevalence Surveys.

Authors:  Nasiru Muhammad; Caleb Mpyet; Mohammed Dantani Adamu; Adamani William; Murtala Muhammad Umar; Musa Goyol; Habila Muazu; Uwaezuoke Onyebuchi; Sunday Isiyaku; Rebecca M Flueckiger; Brian K Chu; Rebecca Willis; Alexandre L Pavluck; Abdullahi Alhassan; Nicholas Olobio; Bruce A Gordon; Anthony W Solomon
Journal:  Ophthalmic Epidemiol       Date:  2016-12-05       Impact factor: 1.648

7.  Prevalence of trachoma in the area councils of the Federal Capital Territory, Nigeria: results of six population-based surveys.

Authors:  Nasiru Muhammad; Caleb Mpyet; Mohammed Dantani Adamu; Adamani William; Murtala Muhammad Umar; Habila Muazu; Uwazoeke Onyebuchi; Sunday Isiyaku; Rebecca M Flueckiger; Brian K Chu; Rebecca Willis; Alex Pavluck; Abbas Dalhatu; Chris Ogoshi; Nicholas Olobio; Bruce A Gordon; Anthony W Solomon
Journal:  Ophthalmic Epidemiol       Date:  2018-12       Impact factor: 1.648

8.  Impact Survey Results after SAFE Strategy Implementation in 15 Local Government Areas of Kebbi, Sokoto and Zamfara States, Nigeria.

Authors:  Caleb Mpyet; Nasiru Muhammad; Mohammed Dantani Adamu; Mohammad Ladan; Rebecca Willis; Murtala Muhammad Umar; Joel Alada; Aliyu Attahiru Aliero; Ana Bakhtiari; Rebecca Mann Flueckiger; Nicholas Olobio; Christian Nwosu; Marthe Damina; Anita Gwom; Abdullahi A Labbo; Sophie Boisson; Sunday Isiyaku; Adamani William; Mansur M Rabiu; Alexandre L Pavluck; Bruce A Gordon; Anthony W Solomon
Journal:  Ophthalmic Epidemiol       Date:  2018-12       Impact factor: 1.648

9.  Prevalence of Trachoma and Access to Water and Sanitation in Benue State, Nigeria: Results of 23 Population-Based Prevalence Surveys.

Authors:  Caleb Mpyet; Selassie Tagoh; Sophie Boisson; Rebecca Willis; Nasiru Muhammad; Ana Bakhtiari; Mohammed D Adamu; Alexandre L Pavluck; Murtala M Umar; Joel Alada; Sunday Isiyaku; William Adamani; Betty Jande; Nicholas Olobio; Anthony W Solomon
Journal:  Ophthalmic Epidemiol       Date:  2018-12       Impact factor: 1.648

10.  Prevalence of trachoma in 13 Local Government Areas of Taraba State, Nigeria.

Authors:  Murtala M Umar; Caleb Mpyet; Nasiru Muhammad; Mohammed D Adamu; Habila Muazu; Uwazoeke Onyebuchi; Adamani William; Sunday Isiyaku; Rebecca M Flueckiger; Brian K Chu; Rebecca Willis; Alexandre L Pavluck; Nicholas Olobio; Ebenezer Apake; Francisca Olamiju; Anthony W Solomon
Journal:  Ophthalmic Epidemiol       Date:  2018-12       Impact factor: 1.648

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