A prevalence survey in Kabul City showed that 2.7% and 21.9% of persons have active leishmaniasis lesions or scars, respectively. Incidence of disease was estimated to be 2.9% (29 cases/1,000 persons per year; 95% confidence interval 0.018 to 0.031). Disease was associated with age and gender; logistic regression analyses showed significant clustering of cases.
In Afghanistan, the majority of leishmaniasis cases are caused by
Before developing an ACL-control strategy, we conducted a cluster-based, house-to-house survey in Kabul City between July and September 2001 to collect data on the extent of ACL. The leishmaniasis transmission season is between April and October. Each of the city’s 14 districts was divided into random clusters according to the district’s population size, for a total of 90 sample clusters; 30 neighboring households were surveyed in each cluster, with the first household selected at random. A team of medical staff diagnosed disease in household members on the basis of presence or absence of ACL lesions or scars, number of lesions, and date of lesion onset; members were interviewed to collect demographic data such as gender and age. Because of logistic constraints, parasitologic diagnosis of ACL lesions (e.g., microscopic examination or parasite culture) was not carried out. However, in Afghanistan, ACL-like skin lesions from other causes are rare, and our experience suggests that clinical diagnosis has a sensitivity and specificity of >80% and >90%, respectively (Reithinger et al., unpub. data). Written approval to conduct the study was obtained from the Afghan Ministry of Public Health. Informed consent was obtained from study participants; all persons with active cases surveyed were offered free antileishmanial treatment at the HealthNet International clinic.
Of 26,892 persons surveyed, 726 (2.7%) and 5,900 (21.9%) had active leishmaniasis lesions or scars, respectively. Of those persons with ACL lesions, the mean lesion number was 2.4 (range 1–50) and the mean lesion duration (to survey date) was 9.1 months (range 0.1–96). A total of 26,887 observations, with full disease and demographic records, from 2,683 households from the 90 sample clusters, were used in logistic regression analyses with a binary outcome variable (ACL lesion or scar).
Four variables were created to assess the distribution of leishmaniasis cases: the prevalence of active lesions in other members of the same household, the prevalence of scars in other members of the same household, the prevalence of active lesions in the nearest neighbor households, and the prevalence of scars in the nearest neighbor households. The nearest neighbor households were defined in terms of the survey protocol. In a given sample cluster, the nearest neighbor to household 1 was household 2; the nearest neighbors to household 2 were households 1 and 3; and so forth. The logistic regressions with robust standard errors (i.e., clustering of households to control for within-household correlations) were also adjusted for age (continuous to year of age at last birthday), gender, and sample cluster (categorical 90 levels). All analyses were conducted in STATA 7 (Stata Corporation, College Station, TX).
The regression analyses show that female patients are at significantly higher odds of having leishmaniasis lesions or scars (
| Explanatory variables | Outcome variableb | ||
|---|---|---|---|
| Lesion | Scar | ||
| OR (CI) | OR (CI) | ||
| Prevalence of lesions in other household members | 132.3 (67.3 to 259.8)
p<0.001 | 3.728 (2.799 to 4.964)
p<0.001 | |
| Prevalence of scars in other household members | 1.988 (1.500 to 2.635)
p<0.001 | 48.24 (41.79 to 55.68)
p<0.001 | |
| Prevalence of lesions in nearest neighbor households | 2.323 (0.984 to 5.486)
NS | 1.585 (1.036 to 1.353)
p<0.05 | |
| Prevalence of scars in nearest neighbor households | 1.376 (0.957 to 1.980)
NS | 1.184 (1.036 to 1.353)
p<0.05 | |
| Age | 1.005 (1.000 to 1.009)
p<0.05 | 1.013 (1.011 to 1.015)
p<0.001 | |
| Sex (female relative to male) | 1.383 (1.177 to 1.626)
p<0.001 | 1.186 (1.108 to 1.270)
p<0.001 | |
| Sampling areac | Chi square=213.6, d.f.=89
p<0.001 | Chi square=330.8, d.f.=89
p<0.001 | |
| Pseudo R2 = 11.89% p<0.0001 | Pseudo R2=22.72 p<0.0001 | ||
aAbbreviations used: OR, odds ratio; CI, 95% confidence intervals; d.f., degrees of freedom; NS, not significant. bThe statistical model controlled for age (in years), sex, and sampling area (a total of 90 areas), while the standard errors were adjusted for sampling of persons at the household level. cThe overall significance of the variable is shown rather than the ORs for the 90 different sampling areas.
A, the average probability of having a lesion at different levels of lesion prevalence recorded among other members of the same household (open circles) and the unadjusted fit (solid line) from the logistic regression. B, the average probability of having a scar at different levels of scar prevalence recorded in other members of the same household (open circles) and the unadjusted fit (solid line) from the logistic regression. C, average probability of having a scar at different levels of scar prevalence in nearest neighbor households (open circles) and the unadjusted fit (solid line) from the logistic regression. D, force of infection,
Currently six clinics provide leishmaniasis diagnostic and treatment services in Kabul; an estimated 20% of the total 67,500 patients (based on the observed prevalence of 2.7% and a total 2.5 million population for Kabul) are diagnosed and treated. Whether this fact alone could explain the extent and duration of the leishmaniasis epidemic in Kabul is uncertain. Our analyses show that persons are at high risk for active ACL when a high proportion of persons with ACL scars are in the same or neighboring households. The likely explanation for this finding is that sandfly distribution and abundance are patchy but stable over time.
The international donor community often considers ACL to be of peripheral importance (e.g., the disease was not included in the basic package of health services for Afghanistan) (
We are grateful for the logistic support of the Afghan Ministry of Public Health and HealthNet International Khair Khana clinic staff in conducting the survey. We thank Rupert Quinnell for comments on the manuscript.
HealthNet International Malaria and Leishmaniasis Control Program Afghanistan is supported by the European Union, the Gesellschaft für Technische Zusammenarbeit, the Norwegian Afghanistan Committee, the Dutch Government, Thermosurgeries Inc., the United Nations Aid Mission to Afghanistan, and the World Health Organization.