The epidemiology of anthroponotic cutaneous leishmaniasis was investigated in northwest Pakistan. Results suggested similar patterns of endemicity in both Afghan refugee and Pakistani populations and highlighted risk factors and household clustering of disease.
In Central Asia, anthroponotic cutaneous leishmaniasis (ACL) is commonly caused by
From December 2002 to March 2003, a study was conducted in 48 Afghan refugee camps and 19 neighboring villages in Balochistan and North-West Frontier Province (NWFP), Pakistan. Refugee camps were selected on the basis of past and present ACL cases reported by healthcare providers. Villages within 1 km of selected camps were included in the survey; if multiple villages were within 1 km of a camp, one with reported ACL cases was randomly selected, although this method may have introduced selection bias. The goal of the study was to estimate the prevalence of ACL in Afghan refugee camps and neighboring Pakistani villages, as well as determine whether refugee camps could be the source of the anecdotal rise in ACL cases in neighboring villages. In each site, 40 households were sampled along east-west and north-south perpendicular transects. Every head of household was interviewed with a standard questionnaire. If a family reported cases of ACL, an interviewer who had been trained in clinical ACL diagnosis asked to inspect the lesions. Because of logistic constraints, no parasitologic confirmation was performed, but lesions caused by organisms other than
The study included 21,046 persons in 48 refugee camps and 7,305 persons in 19 neighboring villages. Overall, 650 persons (2.3%) had ACL lesions only, 1,236 (4.4%) had ACL scars only, and 38 persons had both ACL lesions and scars. Of those with active ACL, the mean lesion number was 2.1 (range 1–16), and the mean lesion duration (to survey date) was 5.1 months (range 0.7–50 months). Using maximum likelihood methods (
In refugee camps, the prevalence of ACL lesions was 2.7%, and prevalence of scars was 4.2%. In neighboring Pakistani villages, the prevalence of ACL lesions was 1.7%, and prevalence of scars was 4.9%. Lesion prevalence increased with age more markedly among local Pakistanis than Afghan refugees until children were 5–6 years of age; then the prevalence of lesions decreased among Pakistanis and was lower than in the Afghan refugee population for all remaining age groups (
A) Proportion of unscarred population with active lesions by age and settlement type. B) Proportion of population with scar by age and settlement type.
To examine the association with potential risk factors and to take clustering of persons within households into account, univariate odds ratios (OR) were estimated by logistic regression with robust standard errors. We used backward stepwise multiple logistic regression to identify significant explanatory risk factors while controlling for other variables. Spatial clustering of ACL was investigated at the household and village levels. The degree of within-household clustering was calculated by using a random-effects model fitted to a logistic regression to account for the nonindependence of persons within households. The analysis was conducted using STATA 8 (Stata Corporation, College Station, TX). The nonparametric Mantel correlation statistic with Mantel 2 (Queensland University of Technology, Brisbane, Australia) was used to assess spatial correlation in prevalence between settlements by investigating the relationship between differences in lesion prevalence and geographic distances.
The univariate analysis showed that an increased risk of ACL lesion was associated with years lived in camp or village, a family member visiting Afghanistan in the last 12 months, household members with ACL lesions, household members having ACL scars, age group, household with stone walls, crowding in the household (i.e., the number of people per room), having cows in a compound, and having dogs in a compound (
| Variable | Lesion [OR (95% CI)] | Scar [OR (95% CI)] |
|---|---|---|
| Villageb | χ2 = 540, df = 66, p < 0.001 | χ2 = 786, df = 66, p < 0.001 |
| Refugee camp (compared to local village) | 1.540 (1.16–2.06), p = 0.003 | 0.82 (0.62–1.09), p = 19 |
| Nationality (Afghan compared to Pakistani) | 1.050 (0.78–1.38), p = 0.720 | 0.940 (0.70–1.26), p = 0.680 |
| Years lived in camp/village | 1.010 (1.01–1.02), p < 0.001 | 1.002 (0.99–1.01), p = 0.510 |
| Family member visited Afghanistan in last 12 mo. | 1.740 (1.37–2.20), p < 0.001 | 1.690 (1.35–2.11), p < 0.001 |
| Lesion prevalence in other household members | 1.120 (1.11–1.13), p < 0.001 | 1.040 (1.03–1.06), p < 0.001 |
| Scar prevalence in other household members | 1.030 (1.02–1.03), p < 0.001 | 1.090 (1.08–1.10), p < 0.001 |
| Sex (female compared to male) | 1.010 (0.89–1.15), p = 0.770 | 1.050 (0.95–1.16), p = 0.310 |
| Age group (compared to 0–4 y) | ||
| 5–19 y | 1.090 (0.87–1.37), p = 0.450 | 1.750 (1.44–2.13), p < 0.001 |
| >20 y | 0.560 (0.43–0.71), p < 0.001 | 1.080 (1.07–1.59), p = 0.007 |
| Type of wall (compared to mud) | ||
| Brick | 0.940 (0.33–2.68), p = 0.920 | 0.640 (0.31–1.31), p = 0.220 |
| Stone | 0.530 (0.32–0.88), p = 0.010 | 0.480 (0.30–0.77), p = 0.002 |
| Other | 2.000 (0.76–5.21), p = 0.150 | 1.160 (0.59–2.31), p = 0.650 |
| Type of ceiling (compared to cloth) | ||
| Concrete | 0.690 (0.26–1.79), p = 0.450 | 1.090 (0.44–2.71), p = 0.850 |
| Wood (beam) | 1.430 (0.65–3.17), p = 0.370 | 1.590 (0.73–3.48), p = 0.240 |
| Wood (thatched) | 0.460 (0.16–1.27), p = 0.140 | 1.770 (0.70–4.49), p = 0.230 |
| Other | 0.850 (0.30–2.41), p = 0.760 | 1.180 (0.47–2.99), p = 0.710 |
| Rooms/person | 0.200 (0.07–0.56), p = 0.002 | 0.430 (0.21–0.91), p = 0.020 |
| Cows in compound (yes/no) | 1.420 (1.22–1.65), p < 0.001 | 1.510 (1.34–1.69), p < 0.001 |
| Dogs (yes/no) | 1.660 (1.42–1.94), p < 0.001 | 1.310 (1.16–1.48), p < 0.001 |
| Meshed windows (% windows covered) | 1.260 (0.51–3.13), p = 0.610 | 0.720 (0.32–1.61), p = 0.420 |
| Use mosquito net | 1.180 (0.83–1.67), p = 0.350 | 1.560 (1.19–2.05), p = 0.001 |
| Treated mosquito net | 0.760 (0.32–1.78), p = 0.530 | 0.740 (0.42–1.32), p = 0.320 |
aOR, odds ratio; CI, confidence interval; df, degrees of freedom. bThe overall significance of this categorical variable is shown rather than the 67 different survey locations.
| Variable | Adjusted OR (95% CI)a |
|---|---|
| Age group (compared to 0–4 y) | |
| 5–19 y | 1.17 (0.90–1.52) p = 0.320 |
| >20 y | 0.48 (0.35–0.65) p < 0.001 |
| Lesion prevalence in other household members | 1.10 (1.09–1.11) p < 0.001 |
| Age group (compared to 0–4 y) | |
| 5–19 y | 2.52 (1.93–3.29) p < 0.001 |
| >20 y | 1.99 (1.48–2.69) p < 0.001 |
| Refugee camp (compared to local village) | 1.48 (1.03–2.14) p = 0.040 |
| Scar prevalence in other household members | 1.08 (1.07–1.11) p < 0.001 |
aOR, odds ratio; CI, confidence interval.
The analysis of putative risk factors for ACL indicated that living in a stone house reduced the risk, whereas the presence of cows and dogs increased it (
Although parasite identification was not carried out in this study, that
Current ACL interventions in the study areas in Pakistan are funded by the United Nations High Commissioner for Refugees (UNHCR) and mainly focus on Afghan refugees. Free diagnosis on the basis of clinical symptoms, analysis of specimens by microscope, and treatment with antimony are provided for all patients attending basic health units in refugee camps, and insecticide-treated nets are sold at highly subsidized prices to refugees with active ACL. The local population is not a focus of the program, since resources are limited. Insecticide-treated net users in local villages either make their own nets or acquire them through "leakage" of nets intended for Afghan refugees or at communities across the border in Afghanistan. Long-term control of ACL transmission in Pakistan will require extending diagnostic and treatment services and building up a program to sell insecticide-treated nets to the local population. With the ongoing reduction in UNHCR funding and anticipated phasing-out of support to refugee health care at the end of 2005, the population will depend on the Pakistan Ministry of Health to deliver these much needed services.
We are grateful to the HealthNet International survey team and the temporary surveyors for collecting data and Clive Davies and Paul Coleman for statistical advice and comments on the manuscript.
The HealthNet International Malaria and Leishmaniasis Control Programme in Pakistan is supported by the UNHCR, who does not accept responsibility for the information provided or views expressed. S.B. is supported by the Wellcome Trust.
Dr. Brooker is an infectious disease epidemiologist at the London School of Hygiene and Tropical Medicine. His research interests are the epidemiology and control of infectious diseases.