An important component of the World Health Organization's comprehensive trachoma elimination strategy is the provision of repeated annual mass azithromycin distributions, which are directed at reducing the burden of ocular chlamydia. Knowledge of characteristics associated with infection after mass antibiotic treatments could allow trachoma programs to focus resources to those most likely to be infected with ocular chlamydia.
We monitored 12 communities in rural Ethiopia that had received 3 annual mass azithromycin treatments as part of a cluster-randomized trial for trachoma. One year after the third treatment, a random sample of children from each village received conjunctival examination for follicular trachomatous inflammation (TF) and intense trachomatous inflammation (TI), conjunctival swabbing for chlamydial RNA and DNA, and a household survey. The primary outcome for this study was RNA evidence of ocular chlamydia, which we detected in 41 of 573 swabbed children (7.2%, 95%CI 2.7–17.8). In multivariate mixed effects logistic regression models, ocular chlamydial RNA was significantly associated with ocular discharge (OR 2.82, 95%CI 1.07–7.42), missing the most recent mass azithromycin treatment (OR 2.49, 95%CI 1.02–6.05), having a sibling with ocular chlamydia (OR 4.44, 95%CI 1.60–12.29), and above-median community population (OR 7.81, 95%CI 1.56–39.09). Ocular chlamydial infection was also independently associated with TF (OR 3.42, 95%CI 1.56–7.49) and TI (OR 5.39, 95%CI 2.43–11.98).
In areas with highly prevalent trachoma treated with multiple rounds of mass azithromycin, trachoma programs could consider continuing mass azithromycin treatments in households that have missed prior mass antibiotic treatments, in households with clinically active trachoma, and in larger communities.
Trachoma, which is the leading infectious cause of blindness worldwide, is caused by repeated ocular infection with Chlamydia trachomatis. Treatment for trachoma includes mass azithromycin treatments to the entire community. The World Health Organization recommends at least 3 rounds of annual mass antibiotic distributions in areas with trachoma, with further mass treatments based on the prevalence of trachoma. However, there are other options for communities that have received several rounds of treatment. For example, programs could continue antibiotic treatments only in those households most likely to have infected individuals. In this study, we performed trachoma monitoring on children from 12 Ethiopian communities one year after a third mass azithromycin treatment, and conducted a household survey at the same time. We found that children were more likely to be infected with ocular chlamydia if they had ocular inflammatory signs or ocular discharge, or if they had missed the preceding antibiotic treatment, had an infected sibling, or came from a larger community. These risk factors suggest that after mass azithromycin treatments, trachoma programs could consider continuing antibiotic distributions to households that have missed prior antibiotic distributions, in households with children who have the clinical signs of trachoma, and in larger communities.
Citation: Ayele B, Gebre T, Moncada J, House JI, Stoller NE, Zhou Z, et al. (2011) Risk Factors for Ocular Chlamydia after Three Mass Azithromycin Distributions. PLoS Negl Trop Dis 5(12): e1441. https://doi.org/10.1371/journal.pntd.0001441
Editor: Sheila Lukehart, University of Washington, United States of America
Received: August 28, 2011; Accepted: November 6, 2011; Published: December 13, 2011
Copyright: © 2011 Ayele et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by the National Institutes of Health (NEI U10 EY016214, NIH/NEI K23EY019071, and NIH/NCRR/OD UCSF-CTSI KL2 RR024130), the Bernard Osher Foundation, That Man May See, the Harper Inglis Trust, the Bodri Foundation, the South Asia Research Fund, Research to Prevent Blindness, and the International Trachoma Initiative. The trachoma control program in Amhara is supported by the Amhara Regional Health Bureau, the Lions-Carter Center SightFirst Initiative and many individual donors. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
As part of the SAFE strategy (Surgery for trichiasis, Antibiotics, Facial hygiene promotion, and Environmental improvements), the World Health Organization recommends repeated annual mass antibiotic distributions for trachoma, usually with oral azithromycin, followed by reassessment after at least 3 years of SAFE . In areas with highly prevalent trachoma, three treatments are unlikely to be sufficient to eliminate the causative agent, Chlamydia trachomatis , . In these areas with highly prevalent disease, re-infection rapidly occurs, even after ocular chlamydia has been brought to very low levels with repeated mass azithromycin treatments . The source of re-infection is not entirely clear. It is possible that untreated neighboring communities provide the source of infection, and that travel to or visitors from these untreated communities helps spread infection . Alternatively, it is possible that a reservoir of infection remains in a treated community after mass azithromycin treatments, either because of incomplete antibiotic coverage, or inefficacy of the antibiotic in certain individuals.
It would be helpful for trachoma programs to identify factors associated with being infected with ocular chlamydia after repeated mass azithromycin treatments. Trachoma programs could direct more resources to households with such factors, or could try to improve the status of these factors, in an effort to reduce any reservoirs of chlamydial infection after mass treatments. In this study, we performed trachoma monitoring and household surveys for 12 communities in Ethiopia that had been treated with 3 annual mass azithromycin treatments, to assess which factors are associated with ocular chlamydia after repeated mass antibiotic treatments.
This study was approved by the Committee for Human Research at the University of California, San Francisco; the Institutional Review Board at Emory University; and the Ethiopian Science and Technology Commission. The guardians of all study participants gave verbal consent in Amharic; we obtained verbal consent due to the high level of illiteracy in this region. Verbal consent was approved by the institutional review boards, and documented on the field data sheets.
We performed a cross-sectional study of 12 communities in Goncha Siso Enese woreda, Amhara Region, Ethiopia to determine risk factors for ocular chlamydia infection after mass azithromycin treatments. The 12 communities had been treated with 3 annual mass azithromycin treatments as part of a cluster-randomized clinical trial for trachoma (clinicaltrials.gov #NCT00322972) , . During the trial, we performed an annual population census, followed by a mass azithromycin distribution to all persons aged 1 year and older (single dose of oral azithromycin; 1 g for adults, 20 mg/kg for children). Antibiotic distributors documented whether each individual on the census had received a dose of azithromycin.
In May 2009 (1 year after the third mass azithromycin treatment), we performed monitoring for ocular chlamydia and clinically active trachoma. We chose a random sample of 50 children aged 0–9 years from each of the 12 communities, using a population census that had been performed for the trial 6 months earlier. We examined the upper right tarsal conjunctiva of each child, grading for follicular trachomatous inflammation (TF) and intense trachomatous inflammation (TI) according to the World Health Organization simplified grading scale . Graders were trained at the beginning of the study visit, and only allowed to grade if they achieved sufficient agreement (kappa≥0.6) with a consensus grade from 3 experienced trachoma graders (BA, BDG, TML) regarding the presence of clinically active trachoma (TF and/or TI) on a set of 50 conjunctival photographs. Kappas for clinically active trachoma for the 8 graders in this study ranged from 0.66 to 0.88. We collected 2 swabs of the upper right tarsal conjunctiva: first, a Dacron swab, and then, a swab from the APTIMA-CT Unisex Swab Specimen Collection Kit (Gen-Probe, Inc., San Diego, CA), which was stored in transport media from the same kit. Swabs were transported to the University of California, San Francisco, where the Dacron swabs were processed for chlamydial DNA using AMPLICOR (Roche Diagnostics, Indianapolis, IN), and the APTIMA swabs were processed for chlamydial RNA using APTIMA-CT. In each case, swabs were analyzed as pools of 5 swabs, with individual testing of any positive pools.
Using the census records, we identified the households of examined children. Trained local health workers and nurses conducted a survey of each identified household in the local language, Amharic. Surveys were performed between 3 and 21 days following the trachoma monitoring. The intended survey respondent was the head of the household or spouse. If either of these persons were not at home, the survey team returned to the household at a different time. If after three visits the head of household or spouse could still not be located, a neighbor was requested to respond to the survey. The survey questions were developed in conjunction with local health workers and nurses, and consisted of questions regarding socioeconomic status, use of antibiotics, availability of latrines and water, and travel. In addition, all children in the household who were present at the time of the survey were examined for ocular discharge (discharge on the eyelashes or eyelids), nasal discharge (discharge on nares, cheeks, or lips), and flies on the face (presence of 1 or more flies on the face during the 3-second period of time after all flies had been shooed away).
The primary outcome in this study was RNA evidence of chlamydial infection, chosen because this is the most sensitive test for chlamydia currently available , . We performed univariate mixed effects logistic regression with the presence of chlamydial RNA as the outcome, and community as a random effect. Any risk factors significantly associated with chlamydial infection at p<0.05 were included in a multivariate mixed effects logistic regression model, and a backwards stepwise selection process was used until all risk factors in the model were significant at p<0.05. We did not include TF or TI as predictors in multivariate models since in communities with hyperendemic trachoma, these clinical signs are most likely a result of chlamydial infection, as opposed to a risk factor for infection. As a sensitivity analysis, we performed similar analyses but included household nested in community as a random effect. As secondary outcomes, we also assessed risk factors for the presence of ocular chlamydia DNA, and clinically active trachoma, defined as TF and/or TI. In the case that the risk factor perfectly predicted the outcome, penalized maximum likelihood regression using Firth's method was used . For any particular analysis, observations with missing data for the outcome or risk factor(s) were omitted. The sample size was based on the underlying clinical trial, which assessed 50 children per community. Analyses were performed with Stata 10 (Statacorp, College Station, TX).
The 12 communities had a median population of 285 (IQR 212–354). As reported previously, the median prevalence of DNA evidence of ocular chlamydial infection before treatment was 45% (IQR 33–54) and the median prevalence of clinically active trachoma (TF/TI) before treatment was 68% (IQR 55–85) . All 12 communities had received 3 annual mass azithromycin treatments, with antibiotic coverage in children under 10 years of age averaging 80.9% (±13.3%) at the first treatment, 92.1% (±5.0%) at the second treatment, and 87.3% (±11.8%) at the third treatment . We performed trachoma monitoring 1 year after the third mass azithromycin treatment. We examined 583 children under 10 years of age, representing 370 households from 12 communities . We were able to complete a household survey for 575 monitored children, who lived in 364 different households. We could not locate an adult respondent for the remaining 8 children, who lived in 7 different households from 3 of the communities.
As shown in Table 1, interviews were conducted primarily with heads of household (43.0%) or spouse (39.8%), although we did accept responses from neighbors or other community members if heads of household were not at home (17.2%). Heads of household were overwhelmingly male (92.4%), farmers (99.7%), Christian (100%), and without formal education (85.9%). Households were generally characterized by poor access to latrines (28.8% of households had a usable latrine) but good access to water (80.7% of households were within 30 minutes from water). Most households attended market and religious services at least weekly (64.2% and 92.7%, respectively).
Of children who underwent trachoma monitoring and a household survey, chlamydial RNA was detected in 41/573 children (7.2%, 95%CI 2.7–17.8), chlamydial DNA in 25/575 children (4.4%, 95%CI 1.7–10.6%), and clinically active trachoma in 247/571 children (43.3%, 34.8–52.1%). TF and TI were independently associated with ocular chlamydia (Table 2). We calculated the predictive values of clinically active trachoma for chlamydial infection at the household level. Of the 200 households in which at least 1 examined child was noted to have TF and/or TI, 28 had at least 1 child with evidence of chlamydial RNA (i.e., household-level positive predictive value 14.0%, 95% CI 6.0–29.3%). In comparison, there were 164 households in which no examined children had either TF or TI, and in 157 of these, no examined child tested positive for chlamydial RNA (i.e., household-level negative predictive value 95.7%, 95%CI 84.2–99.0%).
In total, the 364 households were comprised of 2,079 persons, including 863 children under 10 years of age. Non-programmatic antibiotic use during the preceding 3 months was reported for 123 persons of all ages (5.9%, 95%CI 3.9–8.9%), and 36 children under 10 years of age (4.2% of children, 95%CI 2.9–6.0%). Most persons took a single course of antibiotics, though 11/123 (8.9%, 95%CI 4.0–19.0%) had two courses. Of the 134 antibiotic courses for which a treatment indication was reported, 28 were taken for a respiratory infection, 23 for fever, 18 for diarrhea, 8 for intestinal worms, and 57 for other indications.
The travel patterns of surveyed households are shown in Tables 3 and 4. In general, adults traveled more commonly than children. For household members who traveled, the total amount of time spent away per month was bimodal, with 48.5% of the 1,129 travelers away for 4–8 days, and 25.7% away for 18–22 days. The vast majority of visitors stayed for short amounts of time; 93.9% of the 262 visitors stayed at the household for 3 days or less.
Table 5 shows the results of univariate analyses for the primary outcome (chlamydial RNA) as well as the secondary outcomes (chlamydial DNA and clinically active trachoma) for the 575 children who received both trachoma monitoring and a household survey. Because having an infected sibling depended on whether a sibling had been selected for trachoma monitoring, we also performed an analysis restricted only to those 375 children who had a sibling monitored at the study visit; chlamydial RNA was still associated with having an infected sibling in this analysis (OR 7.44, 95%CI 2.25–24.56).
In multivariate models (Table 6), chlamydial RNA retained an association with ocular discharge (OR 2.82, 95%CI 1.07–7.42), missing the most recent mass azithromycin treatment (OR 2.49, 95%CI 1.02–6.05), having a sibling with ocular chlamydia (OR 4.44, 95%CI 1.60–12.29), and community population above the median of 285 (OR 7.81, 95%CI 1.56–39.09). Analysis of the secondary outcomes largely supported the results of the primary chlamydial RNA outcome (Tables 5 and 6). As a sensitivity analysis, we performed mixed effects logistic regression models with household nested in community as a random effect. The results of these analyses were similar to those shown in Table 5 for chlamydial RNA and TF/TI, but the chlamydial DNA data did not support this model (data not shown).
We showed that after 3 repeated mass azithromycin treatments, the factors most strongly predictive of ocular chlamydial RNA were ocular discharge, missing the previous mass azithromycin treatment, having a sibling infected with ocular chlamydia, and living in a larger community. Even after 3 mass treatments, the clinical signs of trachoma were strongly associated with chlamydial infection. These findings were confirmed with analyses using ocular chlamydial DNA as the outcome, and were robust in models that accounted for community and household clustering.
Few studies have assessed for risk factors of ocular chlamydial infection before or after mass azithromycin treatments. Studies conducted before mass treatments have not shown consistent associations, though various studies have suggested the importance of unclean faces, age, household fly density, infected siblings, and absence of a latrine , , . The few studies conducted after mass azithromycin treatments have generally found that missing a previous mass azithromycin treatment and younger age are associated with chlamydial infection, though individual studies have also implicated the absence of a latrine, travel, and the number of infected and untreated children per household , , . Previous studies have assessed for DNA evidence of ocular chlamydial infection. In contrast, our primary outcome was ocular chlamydial RNA—the most sensitive test for chlamydia currently available , .
The multivariate analysis revealed several risk factors for chlamydial RNA after repeated mass treatments. The association between missing the previous mass azithromycin treatment and ocular chlamydial infection confirms the importance of the Antibiotic component of the SAFE strategy. The association between ocular discharge and chlamydial infection seems to indicate that unclean faces are an important risk factor for infection even after mass treatments . However, it is also possible that ocular discharge is not on the causative pathway for ocular chlamydial infection, but is simply a result of being infected. The association between above-median community population and ocular chlamydia could indicate that chlamydial transmission is more likely in crowded communities, or could simply reflect the difficulty for chlamydial infection to fade away in larger communities . This result should be interpreted with caution, since the population variable was based on only 12 villages. It is important to note that although we used multivariate analyses, the observational study design cannot rule out the possibility that the observed associations are the result of unmeasured confounding.
Consistent with previous reports, we were unable to show that accessibility to water or latrine status were associated with either ocular chlamydia or clinical trachoma after mass antibiotics , , . Although a previous study did find that lack of a latrine was associated with ocular chlamydial infection after mass azithromycin treatment, that study found that the relationship became weaker over time, and by 12 months after the mass treatment (analogous to this study), was no longer significant . It is possible that our inability to detect an association with the E components of the SAFE strategy in the current study is a function of an insufficient sample size, or misclassification during the survey, or an insufficient follow-up period. Nonetheless, across several studies, missing mass antibiotic treatments does seem to be the most important predictor of chlamydial infection and trachoma, at least in the short term. Further investigation into the role of missed azithromycin treatments, including ways to improve coverage of mass treatments, is warranted.
Our results provide evidence that after repeated mass azithromycin treatments, trachoma programs may be able to target antibiotic treatments to those most likely to be infected. For example, TF and TI were independently associated with ocular chlamydial RNA after 3 mass treatments—not surprising, since infection causes the clinical signs of trachoma. Moreover, having an infected sibling was significantly associated with ocular chlamydial infection. This is consistent with previous reports that have shown that ocular chlamydial infection clusters by household , , . Taken together, these results suggest that treating the households of children with clinically active trachoma, as the WHO has suggested in the past, may be a reasonable way to target those individuals most likely to be infected after repeated rounds of mass azithromycin have already been distributed . In this study, treatment targeted to households in which any child was observed to have clinically active trachoma would have resulted in antibiotic distributions to only 55% (200/364) of households, but still would have covered 80% (28/35) of households with ocular chlamydia. However, the feasibility and cost-effectiveness of such a strategy remains to be determined, since targeting households with clinically active trachoma would require examinations of all children in the community. A simpler strategy might be to continue mass azithromycin treatments in areas with highly prevalent trachoma. In fact, the WHO now recommends 5 rounds of mass treatment for areas with hyperendemic trachoma, a strategy that would likely benefit the communities in this study .
As a secondary outcome, we assessed risk factors for having a positive chlamydial DNA test. These results confirmed the risk factors found for the primary RNA outcome, and also suggested that travel outside the community, or hosting a visitor from outside the community, may be associated with ocular chlamydial infection. Travel to and from outside communities could re-introduce ocular chlamydia into a treated household. Other studies have similarly found that travel could be an important risk factor for trachoma , . Trachoma programs with knowledge of major migration episodes may choose to wait until after the travel has occurred before scheduling a mass distribution of azithromycin, or treat a large enough area in order to mitigate this potential problem. In addition, given that most travel was done over short periods of time, trachoma programs may increase coverage to most travelers simply by returning to households with absent members in several days time.
We also assessed for risk factors of the clinical signs of trachoma, TF and TI, as a secondary outcome. Most previous studies that have assessed for risk factors for clinically active trachoma have been conducted before mass azithromycin treatments have been initiated. In these studies, several risk factors have consistently been associated with clinically active trachoma, including indicators of poor face hygiene such as nasal discharge and the presence of flies , , , , , , , household fly density , , , , , distance to water , , , , , , absence of a latrine , , , and number of children per household , , , . Fewer studies have reported risk factors for clinically active trachoma after mass antibiotic treatments. These studies have generally demonstrated that younger age, lack of latrines, unclean faces, and missed mass azithromycin treatments are associated with clinically active trachoma , , . In this study, conducted after 3 annual mass azithromycin distributions, clinically active trachoma was associated with younger age and ocular discharge, two commonly reported risk factors. In addition, active trachoma was associated with having a visitor in the past month, and male gender. The significance of the association between TF/TI and male gender is unclear, as ocular chlamydial infection was not more common among boys. Past studies have more frequently demonstrated an association between clinically active trachoma and female gender , , , , though several studies have noted more clinically active trachoma among boys , . The generalizability of this finding is uncertain, and may simply reflect the specific sample of individuals in this study.
In both univariate and multivariate analyses, the results for the primary RNA outcome were almost always confirmed by the results for the secondary DNA outcome, but often differed from the results of the TF/TI outcome. This likely occurred because the RNA-based and DNA-based tests are related tests, in that both are testing for genetic evidence of chlamydia. The clinical examination, on the other hand, is a test for conjunctival inflammation, and is often discrepant with laboratory tests , , . In fact, roughly 43% of children had TF/TI in this study, whereas only 7% had RNA evidence of chlamydial infection, consistent with other reports that have shown that the clinical signs of trachoma persist for many months after chlamydial infection has been cleared , . Nonetheless, there were 2 factors that were associated with all 3 outcomes: ocular discharge and missing the previous mass azithromycin treatment. The role of ocular discharge as a risk factor is unclear, since it may simply be a result of infection. However, that missing a previous mass azithromycin treatment was associated with all 3 outcomes suggests that this is an important trachoma risk factor, and suggests trachoma programs should make efforts to enhance antibiotic coverage.
This study has several limitations. We chose a random sample of children from each community, and therefore did not assess the clinical or infectious status of all children in surveyed households. This sampling strategy limited our sample size, which did not allow us to assess for the presence of weaker associations. Due to the observational study design, we are unable to comment on antecedent-consequent relationships. Other limitations of surveys apply, such as the potential for recall bias and misclassification errors.
In conclusion, we showed that after 3 annual mass azithromycin treatments in a region of Ethiopia with highly prevalent trachoma, ocular chlamydial RNA was associated with missing the previous mass antibiotic treatment, ocular discharge, larger community size, having an infected sibling, and the clinical signs of trachoma (TF and/or TI). These findings suggest that (1) maximizing antibiotic coverage and promoting face washing are important goals for trachoma programs; (2) larger communities may require more prolonged treatment compared to smaller communities; and (3) after repeated mass azithromycin treatments, trachoma programs could consider antibiotic distribution strategies that target children with clinically active trachoma and their siblings. Further research into the factors associated with chlamydial infection after repeated mass azithromycin distributions will be helpful to guide trachoma program activities after mass azithromycin distributions have begun.
We thank Donald Everett (National Eye Institute, Bethesda, MD, USA), who was the program officer for the underlying clinical trial; the data safety and monitoring committee including William Barlow (University of Washington, Seattle, WA, USA; Chair), Donald Everett (National Eye Institute, Bethesda, MD, USA), Larry Schwab (International Eye Foundation, Kensington, MD, USA), Arthur Reingold (University of California, Berkeley, CA, USA), and Serge Resnikoff (Brien Holden Vision Institute, Sydney, Australia, and International Health and Development, Geneva, Switzerland); the Goncha Siso Enese Woreda Health Office, including Tadege Alemayehu and Abaineh Aemere Aweke; the head of the Amhara Regional Health Bureau, Dr. Asrat Genet Amnie; the Ethiopian Ministry of Health; the trachoma monitoring team, including Mitselal Abrahale, Melkam Andualem, Rebecca Beauregard, Manahlosh Berihun, Michael Chen, Temesgen Demile, Tessema Eneyew, Banchu Gedamu, and Melese Temesgen; and the household survey team, including Mekonen Getaneh, Berhanu Asfaw, and Kefale Abere.
Conceived and designed the experiments: BA TG PME JDK. Performed the experiments: JM JIH NES BDG JS. Analyzed the data: ZZ TCP PME JS JDK. Wrote the paper: BA TG JM JIH NES ZZ TCP BDG PME JS JDK.
- 1. Solomon AW, Zondervan M, Kuper H, Buchan JC, Mabey DCW, et al. (2006) Trachoma control: a guide for programme managers. Geneva: World Health Organization.
- 2. Mkocha H, Munoz B, West S (2009) Trachoma and ocular Chlamydia trachomatis rates in children in trachoma-endemic communities enrolled for at least three years in the Tanzania National Trachoma Control Programme. Tanzan J Health Res 11: 103–110.
- 3. Ngondi J, Gebre T, Shargie EB, Adamu L, Ejigsemahu Y, et al. (2009) Evaluation of three years of the SAFE strategy (Surgery, Antibiotics, Facial cleanliness and Environmental improvement) for trachoma control in five districts of Ethiopia hyperendemic for trachoma. Trans R Soc Trop Med Hyg 103: 1001–1010.
- 4. Lakew T, House J, Hong KC, Yi E, Alemayehu W, et al. (2009) Reduction and return of infectious trachoma in severely affected communities in ethiopia. PLoS Negl Trop Dis 3: e376.
- 5. Burton MJ, Holland MJ, Makalo P, Aryee EA, Alexander ND, et al. (2005) Re-emergence of Chlamydia trachomatis infection after mass antibiotic treatment of a trachoma-endemic Gambian community: a longitudinal study. Lancet 365: 1321–1328.
- 6. Gebre T, Ayele B, Zerihun M, Genet A, Stoller NE, et al. (Submitted) A cluster-randomized clinical trial comparing annual to twice-yearly azithromycin treatment for hyperendemic infectious trachoma in Ethiopia.
- 7. Keenan JD, Ayele B, Moncada J, Gebre T, House JI, et al. (Submitted) rRNA evidence of ocular Chlamydia trachomatis infection following three annual mass azithromycin distributions in communities with highly prevalent trachoma.
- 8. Thylefors B, Dawson CR, Jones BR, West SK, Taylor HR (1987) A simple system for the assessment of trachoma and its complications. Bull World Health Organ 65: 477–483.
- 9. Chernesky M, Jang D, Portillo E, Chong S, Smieja M, et al. (2007) Abilities of APTIMA, AMPLICOR, and ProbeTec assays to detect Chlamydia trachomatis and Neisseria gonorrhoeae in PreservCyt ThinPrep Liquid-based Pap samples. Journal of Clinical Microbiology 45: 2355–2358.
- 10. Schachter J, Hook EW, Martin DH, Willis D, Fine P, et al. (2005) Confirming positive results of nucleic acid amplification tests (NAATs) for Chlamydia trachomatis: all NAATs are not created equal. J Clin Microbiol 43: 1372–1373.
- 11. Heinze G, Schemper M (2002) A solution to the problem of separation in logistic regression. Stat Med 21: 2409–2419.
- 12. West SK, Rapoza P, Munoz B, Katala S, Taylor HR (1991) Epidemiology of ocular chlamydial infection in a trachoma-hyperendemic area. J Infect Dis 163: 752–756.
- 13. Abdou A, Nassirou B, Kadri B, Moussa F, Munoz BE, et al. (2007) Prevalence and risk factors for trachoma and ocular Chlamydia trachomatis infection in Niger. Br J Ophthalmol 91: 13–17.
- 14. Edwards T, Harding-Esch EM, Hailu G, Andreason A, Mabey DC, et al. (2008) Risk factors for active trachoma and Chlamydia trachomatis infection in rural Ethiopia after mass treatment with azithromycin. Trop Med Int Health 13: 556–565.
- 15. Cajas-Monson LC, Mkocha H, Munoz B, Quinn TC, Gaydos CA, et al. (2011) Risk factors for ocular infection with Chlamydia trachomatis in children 6 months following mass treatment in Tanzania. PLoS Negl Trop Dis 5: e978.
- 16. King JD, Ngondi J, Kasten J, Diallo MO, Zhu H, et al. (2011) Randomised trial of face-washing to develop a standard definition of a clean face for monitoring trachoma control programmes. Trans R Soc Trop Med Hyg 105: 7–16.
- 17. Ray KJ, Porco TC, Hong KC, Lee DC, Alemayehu W, et al. (2007) A rationale for continuing mass antibiotic distributions for trachoma. BMC Infect Dis 7: 91.
- 18. Bailey RL, Hayes L, Pickett M, Whittle HC, Ward ME, et al. (1994) Molecular epidemiology of trachoma in a Gambian village. Br J Ophthalmol 78: 813–817.
- 19. Burton MJ, Holland MJ, Faal N, Aryee EA, Alexander ND, et al. (2003) Which members of a community need antibiotics to control trachoma? Conjunctival Chlamydia trachomatis infection load in Gambian villages. Invest Ophthalmol Vis Sci 44: 4215–4222.
- 20. Broman AT, Shum K, Munoz B, Duncan DD, West SK (2006) Spatial clustering of ocular chlamydial infection over time following treatment, among households in a village in Tanzania. Invest Ophthalmol Vis Sci 47: 99–104.
- 21. World Health Organization (1993) Primary Health Care Level Management of Trachoma (WHO/PBL/93.33). Geneva: World Health Organization.
- 22. World Health Organization (2011) Report of the Fifteenth Meeting of the WHO Alliance for the Elimination of Blinding Trachoma by 2020.
- 23. Shah NA, House J, Lakew T, Alemayehu W, Halfpenny C, et al. (2010) Travel and implications for the elimination of trachoma in ethiopia. Ophthalmic Epidemiol 17: 113–117.
- 24. West SK, Congdon N, Katala S, Mele L (1991) Facial cleanliness and risk of trachoma in families. Arch Ophthalmol 109: 855–857.
- 25. Taylor HR, West SK, Mmbaga BB, Katala SJ, Turner V, et al. (1989) Hygiene factors and increased risk of trachoma in central Tanzania. Arch Ophthalmol 107: 1821–1825.
- 26. West SK, Munoz B, Lynch M, Kayongoya A, Mmbaga BB, et al. (1996) Risk factors for constant, severe trachoma among preschool children in Kongwa, Tanzania. Am J Epidemiol 143: 73–78.
- 27. Schemann JF, Sacko D, Malvy D, Momo G, Traore L, et al. (2002) Risk factors for trachoma in Mali. Int J Epidemiol 31: 194–201.
- 28. Ngondi J, Matthews F, Reacher M, Onsarigo A, Matende I, et al. (2007) Prevalence of risk factors and severity of active trachoma in southern Sudan: an ordinal analysis. Am J Trop Med Hyg 77: 126–132.
- 29. Ngondi J, Gebre T, Shargie EB, Graves PM, Ejigsemahu Y, et al. (2008) Risk factors for active trachoma in children and trichiasis in adults: a household survey in Amhara Regional State, Ethiopia. Trans R Soc Trop Med Hyg 102: 432–438.
- 30. Brechner RJ, West S, Lynch M (1992) Trachoma and flies. Individual vs environmental risk factors. Arch Ophthalmol 110: 687–689.
- 31. Taylor HR (1988) A simple method for assessment of association between synanthropic flies and trachoma. Am J Trop Med Hyg 38: 623–627.
- 32. Tielsch JM, West KP Jr, Katz J, Keyvan-Larijani E, Tizazu T, et al. (1988) The epidemiology of trachoma in southern Malawi. Am J Trop Med Hyg 38: 393–399.
- 33. West S, Lynch M, Turner V, Munoz B, Rapoza P, et al. (1989) Water availability and trachoma. Bull World Health Organ 67: 71–75.
- 34. Zerihun N (1997) Trachoma in Jimma zone, south western Ethiopia. Trop Med Int Health 2: 1115–1121.
- 35. Hoechsmann A, Metcalfe N, Kanjaloti S, Godia H, Mtambo O, et al. (2001) Reduction of trachoma in the absence of antibiotic treatment: evidence from a population-based survey in Malawi. Ophthalmic Epidemiol 8: 145–153.
- 36. Baggaley RF, Solomon AW, Kuper H, Polack S, Massae PA, et al. (2006) Distance to water source and altitude in relation to active trachoma in Rombo district, Tanzania. Trop Med Int Health 11: 220–227.
- 37. Courtright P, Sheppard J, Lane S, Sadek A, Schachter J, et al. (1991) Latrine ownership as a protective factor in inflammatory trachoma in Egypt. Br J Ophthalmol 75: 322–325.
- 38. Luna EJ, Medina NH, Oliveira MB, de Barros OM, Vranjac A, et al. (1992) Epidemiology of trachoma in Bebedouro State of Sao Paulo, Brazil: prevalence and risk factors. Int J Epidemiol 21: 169–177.
- 39. Cumberland P, Hailu G, Todd J (2005) Active trachoma in children aged three to nine years in rural communities in Ethiopia: prevalence, indicators and risk factors. Trans R Soc Trop Med Hyg 99: 120–127.
- 40. Ngondi J, Matthews F, Reacher M, Baba S, Brayne C, et al. (2008) Associations between Active Trachoma and Community Intervention with Antibiotics, Facial Cleanliness, and Environmental Improvement (A,F,E). PLoS Negl Trop Dis 2: e229.
- 41. Ngondi J, Gebre T, Shargie EB, Adamu L, Teferi T, et al. (2010) Estimation of effects of community intervention with antibiotics, facial cleanliness, and environmental improvement (A,F,E) in five districts of Ethiopia hyperendemic for trachoma. Br J Ophthalmol 94: 278–281.
- 42. West SK, Munoz B, Turner VM, Mmbaga BB, Taylor HR (1991) The epidemiology of trachoma in central Tanzania. Int J Epidemiol 20: 1088–1092.
- 43. Michel CE, Roper KG, Divena MA, Lee HH, Taylor HR (2011) Correlation of clinical trachoma and infection in Aboriginal communities. PLoS Negl Trop Dis 5: e986.
- 44. Bird M, Dawson CR, Schachter JS, Miao Y, Shama A, et al. (2003) Does the diagnosis of trachoma adequately identify ocular chlamydial infection in trachoma-endemic areas? J Infect Dis 187: 1669–1673.
- 45. Wright HR, Taylor HR (2005) Clinical examination and laboratory tests for estimation of trachoma prevalence in a remote setting: what are they really telling us? Lancet Infect Dis 5: 313–320.
- 46. Taylor HR, Siler JA, Mkocha HA, Munoz B, West S (1992) The natural history of endemic trachoma: a longitudinal study. Am J Trop Med Hyg 46: 552–559.
- 47. Keenan JD, Lakew T, Alemayehu W, Melese M, House JI, et al. (2011) Slow resolution of clinically active trachoma following successful mass antibiotic treatments. Arch Ophthalmol 129: 512–513.