Transmission of Leishmania donovani in the Hills of Eastern Nepal, an Outbreak Investigation in Okhaldhunga and Bhojpur Districts.

BACKGROUND: In the Indian subcontinent, Visceral leishmaniasis is endemic in a geographical area coinciding with the Lower Gangetic Plain, at low altitude. VL occurring in residents of hill districts is therefore often considered the result of Leishmania donovani infection during travel. Early 2014 we conducted an outbreak investigation in Okhaldhunga and Bhojpur districts in the Nepal hills where increasing number of VL cases have been reported. METHODOLOGY/PRINCIPAL
FINDINGS: A house-to-house survey in six villages documented retrospectively 35 cases of Visceral Leishmaniasis (VL). Anti-Leishmania antibodies were found in 22/23 past-VL cases, in 40/416 (9.6%) persons without VL and in 12/155 (7.7%) domestic animals. An age- and sex- matched case-control study showed that exposure to known VL-endemic regions was no risk factor for VL, but having a VL case in the neighbourhood was. SSU-rDNA PCR for Leishmania sp. was positive in 24 (5%) of the human, in 18 (12%) of the animal samples and in 16 (14%) bloodfed female Phlebotomus argentipes sand flies. L. donovani was confirmed in two asymptomatic individuals and in one sand fly through hsp70-based sequencing.
CONCLUSIONS/SIGNIFICANCE: This is epidemiological and entomological evidence for ongoing local transmission of L. donovani in villages at an altitude above 600 meters in Nepal, in districts considered hitherto non-endemic for VL. The VL Elimination Initiative in Nepal should therefore consider extending its surveillance and control activities in order to assure VL elimination, and the risk map for VL should be redesigned.

Introduction

Visceral Leishmaniasis (VL) is a vector-borne parasitic disease that is fatal if left untreated. With an estimated 162,000 to 313,000 new cases per year in northeast India, Nepal and Bangladesh, VL poses a public health problem in the Indian subcontinent (ISC) [1]. In this region, VL is caused by Leishmania donovani and transmitted by Phlebotomus argentipes with humans as the only reservoir [2]. In endemic foci, infected domestic animals have been encountered, clustering with asymptomatic human infections, but their role in transmission is not established [3]. The habitat of the sand fly vector depends on biotic (vegetation and availability of human and/or animal blood meals) and abiotic (temperature and precipitation) factors, specific for each species. In the case of P. argentipes, these conditions are met in the plains of the river Ganges. The range of this species is considered to be limited to altitudes below 700 meters above the sea level [4-6].

In Nepal, the disease is endemic in 12 districts in the south-eastern plains, known as the Terai, where eight million people are at risk. Sporadic VL cases were reported in the hills at altitudes of 1,000 meters above sea level [7-8], but none of these have been firmly linked to local transmission. As the travel history of these cases was not documented, they may possibly have contracted VL in the Terai plains. Transmission of VL in the foothills of the Himalaya at altitudes ranging from 1,300 to 3,000 m has been suggested elsewhere, in India [9-12] and in Bhutan [13]—though not unequivocally confirmed as local. The transmission cycle requires a large vector population, but only few of these studies include entomological information [13-14]. Ozbel et al. suggested that not the altitude itself, but the gradient of habitats, relief and climate it offers, exerts the structuring effect on sand fly range [15].

Since 2000, VL cases have been reported in increasing numbers from the hilly regions in eastern Nepal. This challenges the ongoing VL elimination program—as they could constitute a reservoir of future re-emergence if local transmission is confirmed. We report an outbreak investigation conducted early 2014 in this region.

Methods

Selection of study districts

We reviewed the epidemiological surveillance data of the Ministry of Health & Population and the patient database of the BPKIHS hospital for the period 2000–2013. All VL cases from the last five years who named a hill district as their residence at the time of admission were listed and the two most affected districts, namely Bhojpur and Okhaldhunga, were selected for field investigation.

Selection of study clusters

In each district we selected three villages on the basis of the total number of VL cases since 2005, combined with the number of cases reported during each of the previous two years, accessibility on foot and local support by health authorities and community. The selected locations were Thakle Jakme, Thakle Richuwa and Mathilo-Richuwa in Okhaldhunga district, and Bhojpur village ward no.3, Dalgaun ward no.3, and Manebhanjyang ward no.9 from Bhojpur district.

Case ascertainment

The following case definitions were used: current VL case: fever for at least two weeks and positivity in a rapid diagnostic test for VL (Kala-azar Detect TM Rapid Test; InBios International, Seattle, WA); past case of VL: history of treatment for VL, corroborated by prescriptions and/or case records from the health facility; past VL death: any death related to a febrile illness of longer than two weeks duration and at least one more VL-specific sign as verified by a verbal autopsy procedure.

Field study

The investigation took place in March 2014 in Okhaldhunga district, and in May 2014 in Bhojpur. We conducted an exhaustive household census combined with a serosurvey, a case-control study, and an entomological survey.

Household census. All households were geo-referenced by a Global Positioning System (GPS) device, specifying longitude, latitude and altitude of the houses. Trained field workers interviewed each head of household on age and gender of present and absent family members, occupation, household characteristics, and livestock ownership, as well as current or past history of VL in the family including deaths. For each VL case, disease history, health care-seeking behavior, place of treatment, drugs and outcome were recorded.

Case-control study. We interviewed each current or past VL case identified in the census with a semi-structured questionnaire to assess risk factors. For each case we selected four age- and sex-matched controls (age matching based on age at time of VL diagnosis) living in the same village without history of VL in their lifetime, and applied the same questionnaire. The power of this nested case-control study was calculated prior to the study with the factor “contact with known VL endemic area” as primary exposure of interest, and VL as the outcome. Based on the expectation to find at least 35 cases, a ratio of four controls per case allowed to detect an odds ratio of three with a power of 80% at a significance level of 5%.

The risk factor questionnaire focused on both individual and household characteristics such as educational status, occupation, travel history, sleeping habits, bed net use, cases and deaths due to VL in the family and in the immediate neighborhood, socio-economic factors, animal ownership and housing characteristics.

Serological study. All subjects aged ≥ 2 years who lived permanently in the study clusters—or their guardians—were invited to give consent for the draw of a 2 ml venous blood sample. A trained laboratory technician collected a 2 ml venous blood sample that was divided over an EDTA tube, a serum tube and onto a pre-printed Whatman # 3 filter paper. The dried filter papers were placed in plastic bags containing silica gel. All samples were transported in a cold box at 4–8°C until storage at -20°C at BPKIHS. At the same time, veterinary technicians took blood samples from domestic animals such as bovines, goats, sheep, pigs, and dogs.

Entomology. Timing of the insect collections (March-May) purposely coincided with the second annual peak of P. argentipes density in the plains [16]. Sand flies were captured in-door in eight households including houses of past VL patients, in each of the six study clusters. Trained insect collectors supervised by an experienced medical entomologist installed CDC light traps before dusk inside the house and/or cattle shed for two consecutive nights and collected them between 5:00 and 6:00 AM the next morning. During that visit they also caught resting sand flies by mouth aspiration for 15 minutes in the households and the cattle sheds. Collected specimens were preserved the same day in 80% ethanol and transported to the entomology laboratory at BPKIHS Dharan for examination under a binocular dissecting microscope. Insect species were morphologically identified according to the Lewis key [17] and female P. argentipes were separated from other insects and pooled by household in a cryotube with 80% alcohol. During further processing for molecular analyses, the source material was completely blinded with regard to species, sex and feeding/gravid status.

Direct agglutination test (DAT). DAT was performed using a freeze-dried antigen of fixed, trypsin-treated and stained promastigotes of Leishmania donovani obtained from ITM-Antwerp as described by Jacquet et al. [18]. A DAT titre ≥ 1:1600 in capillary blood was taken as marker of Leishmania donovani infection in humans [19].

PCR-based detection of DNA was extracted from all blood samples and sand flies, using the QiaAmp DNA mini kit (Qiagen, Hilden, Germany). DNA from 200 μl blood or single sand flies was eluted in 50 μl AE buffer. A diagnostic Leishmania PCR based on the small-subunit ribosomal DNA of Leishmania, (SSU-rDNA) was performed on 2 μl DNA of each sample, with the inclusion of an internal control amplicon, essentially as described in Odiwuor et al. [20]. A sample was considered to contain Leishmania sp. if the PCR scored positive, i.e. if an amplicon of around 115 bp was seen on an ethidium-bromide stained agarose gel. Other samples were scored negative when only the internal control amplicon was successfully amplified, or invalid in case the internal control amplicon was not detected even after repeating the PCR. To verify the Leishmania sp. identity of the SSU-rDNA amplicons, they were sequenced and compared with publically available sequences. In order to further type the parasites to the L. donovani species level, the heat-shock protein 70 gene (hsp70) was partially amplified, using HSP70-F as outer and HSP70-N as hemi-nested PCR [21], followed by sequence analysis [22-23].

All sand flies that were positive for the SSU-rDNA PCR were molecularly identified by sequencing the barcoding fragment of the mitochondrial cytochrome oxidase I (COI) as described by Versteirt et al. [24]. Sequences were submitted to the online identification tool of the Barcoding of Life Database (BOLD) to identify the sand fly [25].

Data analysis

We used R statistical software version 3.0.0. [26] for data analysis. For each potential risk factor we computed Odds Ratios by means of a logistic regression adjustment analysis with matching variables (age, gender, village) forced into the regression model.

To retain only the independent predictors of being a VL case, statistically significant risk factors in the univariate analyses (P < 0.05) were entered in a multivariate analysis. The final model and adjusted Odds Ratio’s resulted from a stepwise selection in a logistic regression analysis with matching (age, gender, village) adjustment [27].

Ethical considerations

Ethical clearance for the study was obtained from the Institutional Ethical Review Boards of BPKIHS and the Nepal Health Research Council, Kathmandu in Nepal, the Ethical Review Board of the Institute of Tropical Diseases in Antwerp, and the University Hospital of Antwerp in Belgium. Community consent was sought and obtained during meetings with local health facilities’ staff, village authorities, and village assemblies. Individual informed consent was obtained in writing, prior to blood sampling and interviewing. For children, a parent or guardian provided written informed consent.

Results

VL cases and risk factors

We retrieved 101 past VL cases in the document review, 38 from Okhaldhunga and 63 from Bhojpur district. The distribution over time of these cases is shown in Fig 1. In Okhaldhunga cases were only reported after 2010, when the mission hospital there started outreach activities, including screening for VL.

Fig 1

Reported VL case load 2000–2013, Bhojpur and Okhaldhunga Districts, Nepal.

n = 101 Sources: Patient database of BPKIHS Dharan hospital & EDCD Teku, Kathmandu.

The characteristics of the six study clusters are shown in Table 1. The characteristics of the households are included as supporting information (S1 Fig and S1, S2 and S3 Tables).

Table 1

Characteristics of study clusters.

District	Study clusters	HHs a	Altitude (m)	Population size b	Population present (%)	Blood samples collected	Past VL
Okhaldhunga	Thakle Jakma	26	536–652	160	115 (72%)	111	3
	Thakle Richuwa	37	378–717	199	136 (68%)	129	12
	Mathilo Richuwa	34	1026–1213	231	122 (53%)	114	10
Bhojpur	Dalgaun-3	7	1052–1110	33	25 (76%)	25	1
	Manebhanjyang-9	5	449–459	28	22 (79%)	22	7
	Bhojpur-3	13	1532–1583	56	44 (79%)	42	2
TOTAL		122		707	464 (66%)	443	35

aHH: household.

bIncludes family members who were temporarily absent at the time of the census.

No active VL cases were found in the household survey, but 21 percent (26/122) of the households had at least one confirmed case of VL in the past. We ascertained a total of 35 confirmed VL cases, of which four had occurred before the year 2000, and one of them more than 50 years ago. Age at time of VL ranged from 1 to 52 years, most frequent in the youngest age group (Q1/Median/Q3 was 6, 17 and 28 years resp.) (see S2 Fig in supplementary material). Of the 31 VL cases reported since 2000, 22 (71%) were reported in the last five years. Fourteen of these 31 had their diagnostic workup at the BPKIHS-hospital in Dharan where they were parasitologically confirmed as VL. In one of them, who was enrolled in a research project, L. donovani was confirmed at species level through hsp70 sequencing of an isolate cultured from a bone marrow aspirate.

Of the 35 confirmed VL cases, four had been fatal, three of which were children below five years old. Treatment comprised Sodium-Antimony-Gluconate (13), miltefosine (5) or amphotericin B (17). An additional four deaths were recorded that could possibly be attributed to VL according to the verbal autopsy, and two of them had a confirmed VL case among other family members. These four persons were not included as VL cases in further analysis.

Table 2 shows the breakdown by year of onset of all the VL cases retrieved during the house-to-house survey.

Table 2

Number of VL (KA) cases retrieved in the study clusters over study period.

Study clusters	Population a	1964–2000	2001–2004	2005–2009	2010–2013	Total no. VL cases
Thakle Jakma	160	0	0	0	3	3
Thakle Richuwa	199	3	0	3	6	12
Mathilo Richuwa	231	0	0	4	6	10
Dalgaun WN # 3	33	0	0	1	0	1
Manebhanjyang- 9	28	0	3	2	2	7
Bhojpur WN # 3	56	1	1	0	0	2
TOTAL	707	4	4	10	17	35

aCurrently present in the village.

Sex-, age- and village-adjusted Odds Ratios of potential risk factors for being a VL case are given in Table 3. History of travelling to any of the known VL endemic areas was not associated with being a VL case (Odds Ratio 0.73 [95% CI 0.27–1.87]. The strongest risk factor for being a VL case was the occurrence of a VL case in the neighborhood (i.e. within a perimeter of 100 meter from the house). All the 35 (100%) of the VL cases reported such a case in the neighborhood against 52/139 (37 percent) of the controls, leading to an Odds Ratio of positive infinity. Other significant risk factors for VL in univariate analysis were cow dung in front of the house, sleeping on the ground, increasing distance from the river, monthly income, house type and having a case of VL in the family. A multivariate stepwise logistic regression modeling procedure—ignoring the factor “VL case in neighborhood”—retained only sleeping on the ground, (OR 5.65 [95% CI 1.12–30.43], cow dung in front of the house (OR 4.70 [95% CI 1.21–20.06]) and distance from the river (OR 0.06 per additional km from river [95% CI 0.001–0.92]) as independent predictors. As these ORs could be confounded by the effect of having a VL case in the neighborhood, a factor that could not be included in the multivariate modeling approach because of its infinite OR, we did a stratified analysis on a restricted data set that only included those cases and controls with a VL case in the neighborhood. Beyond that factor only two lifestyle-related risk factors remain statistically significant: cow dung in front of the house (OR 4.72 [95% CI 1.64–15.26] and sleeping on the ground (OR 4.74 [95% CI 1.18–21.5]).

Table 3

Number of cases and controls with potential risk factors for KA, univariate Odds Ratios (OR) controlled for age, sex, village and adjusted OR obtained in final multivariate model.

	Cases	Controls	Univariate			Multivariate
	(n = 35)	(n = 139)	OR a	95% C.I.	p	OR b	95%CI	p
Contact with known endemic areas	9	40	0.73	0.27–1.87	0.524
VL case in family	15	26	3.21	1.26–8.23	0.014*
VL case in close d neighborhood	35	52	116 e	6.90–1915.42	0.000***
DAT-positive in family	20 c	47	2.36	0.96–5.89	0.061
Monthly income (per 1000 NRS)			1.11	1.09–1.22	0.035*
Occupation					0.421
Agriculture (ref)	4	19	1	-	-
Daily labour	7	12	2.72	0.58–14.27	0.211
House wife	8	24	2.09	0.46–11.34	0.357
Student	14	77	0.81	0.16–4.99	0.809
Other	2	7	-	-	-
House type					0.096
Thatched (ref)	11	52	1	-	-
Mud (Kaccha)	17	61	2.14	0.63–8.73	0.246
Semi-Pakka (Mixed cement)	6	14	5.59	1.17–29.31	0.033*
Wood	1	12	-	-	-
Sleeping on the ground	16	34	3.60	1.23–10.72	0.020*	5.65	1.12–30.43	0.035
Sleeping under bed net	6	33	0.60	0.19–1.71	0.369
Owning domestic animal(s)	29	104	0.60	0.55–1.09	0.274
Cow dung in front of house	21	42	4.01	1.72–9.65	0.001**	4.70	1.21–20.06	< 0.001
Vegetation around house	11	39	0.86	0.19–3.21	0.837
Contact with river	14	27	2.92	0.85–10.25	0.088
Distance house- river (per km)			0.06	0.002–0.53	0.010*	0.06	0.001–0.92	0.001

aAdjusted for age, sex, village in separate logistic regression models.

bAdjusted OR obtained in final multivariate conditional logistic regression model.

cn = 34.

dWithin 100 meter from house.

eOR = positive infinity. Values shown were computed for 34,9999 exposed cases instead of 35.

L. donovani infection

Overall, 14.1% (95% CI: 10.8–17.3) of the study population (62/441) was positive in DAT varying from 2.5% to 50% according to study cluster. Excluding the past VL cases, seroprevalence in the asymptomatic persons was 9.6% (95% CI: 6.8–12.4) varying between villages from 0 to 42%. There was no significant difference in seroprevalence according to sex and age (Fig 2).

Fig 2

Seroprevalence by age group.

Blood samples were collected from 155 domestic animals. Ten goats, one cow and one buffalo had DAT titers just above the cut-off (one (goat) = 1/6400, all others = 1/1600). Of all goats sampled (n = 83), this represented 12%. DNA was extracted from human (n = 441) and animal blood samples (n = 155). SSU-rDNA was positive in 24 (5%) of the human samples, and in 18 (12%) of the animal samples. The amplicon sequence was obtained from five humans, four goats, and one sheep, and in all cases, the sequence was compatible with Leishmania sp. An hsp70 sequence could be obtained from two of the human samples, which confirmed the parasite identity as Leishmania donovani. The hsp70 gene from the animal samples could not be sequenced, likely because of the low parasitemia in these samples, together with the lower sensitivity of the hsp70 PCR (vs the SSU-rDNA PCR).

Entomology

The total number of sand flies captured was 281, morphologically identified and segregated into P. argentipes, Sergentomyia spp. and other Phlebotomus spp. Amongst the P. argentipes, 82 were male, 29 unfed female, 108 fed female, and 6 gravid female. DNA extraction was successful in 271 sand flies and 16 specimens (14,5% of the female, fed sand flies) were found positive by SSU-rDNA PCR. In 11 of these the sequence could be obtained and was found compatible with Leishmania sp. The hsp70 sequence was obtained from one of these, confirming infection with L. donovani. 14 out of 16 SSU-rDNA PCR positive sand flies, including the one infected with L. donovani, were molecularly identified as P. argentipes, and all of them were female and fed. The other two were confirmed to be Phlebotomus spp., but could not be molecularly identified to species level as their COI sequence was not available in BOLD. Retracing the origin of the 16 sand flies, they came from 10 houses, i.e. two households from Thakle Jakma, five from Thakle Richuwa, two from Mathilo (Okhaldhunga district), and one from a household in Manebhanjyang (Bhojpur). Five of these households effectively had had a VL case in the past, one had asymptomatic DAT positives only, and four had neither (though not all family members gave a blood sample).

Fig 3 shows the dendrogram with the location of the three hsp70-positive samples.

Fig 3

Dendrogram of hsp70 sequencing.

Discussion

Our data show there is strong evidence for local transmission of VL in the hill districts of eastern Nepal. Exposure to known endemic areas in the plains of Nepal or India was not a risk factor for VL. On the contrary, the strongest risk factor for being a VL case in the hills was having a VL case in the close neighborhood of the house (< 100 m). Seventy-five percent of the VL cases (26/35) had no reported exposure to known endemic areas in Nepal or India whatsoever. VL cases actually had travelled less than controls to those areas, though this difference was not statistically significant (adjusted OR. 0.73; 95% C.I. 0.27–1.87; P = 0.524).

Entomological and microbiological findings meanwhile strongly point towards local transmission. We caught P. argentipes sand flies in five of the six villages, at altitudes up to 1500 m above sea level, way above the 700 meter limit suggested in literature [4-6]. In one of the P. argentipes samples, we were able to demonstrate the presence of L. donovani DNA. While these entomological data suggest the high likelihood of P. argentipes as the vector of VL in the study areas, it does not unequivocally prove that the species is the vector in this habitat, which would require the demonstration of transmissible parasite stages (e.g. by microscopical observation of Leishmania in the sand flies, or detection of stage-specific antigens or RNA) [28].

In the asymptomatic human samples, 24 (5.4%) were positive with SSU-rDNA PCR. This assay was designed for detection of Leishmania sp, but can also give positive results with some monoxenous trypanosomatids like Crithidia and Leptomonas [29]. The latter protozoa are occasionally reported in humans, essentially in cases of immuno-suppression due to HIV or co-infection with L. donovani [30]

Two of the samples were confirmed as L. donovani, in three additional ones a Leishmania sp. SSU-rDNA signature was demonstrated. Moreover, a Leishmania SSU-rDNA sequence was confirmed in 11 out of 16 SSU-rDNA PCR positive sand flies, one of which was shown to be L. donovani. Among the samples that could not be sequenced, we cannot strictly exclude the occurrence of Leptomonas sp. It should be noted that some trypanosomatids share the Leishmania SSU-rDNA sequence, but as far as we know these are not endemic in the Indian subcontinent. In all, these arguments point to active Leishmania transmission in the sampled areas.

Finally, the large proportion of the inhabitants showing antibodies to the DAT is strongly supportive for local transmission. DAT has been shown to be negative in healthy populations from Indian states without VL transmission [31]. The DAT prevalence in individuals without a history of VL was 9.6% in our household study, comparable with prevalences in villages with recent outbreaks in the endemic areas of the Terai [32]. DAT positivity was present here in all age groups, and not related with travel: among the 139 controls in the case-control study, there were nine asymptomatic DAT positive cases, but only two of them had a history of traveling to VL-endemic territory. Furthermore, there was a clear link between DAT positivity and the presence of VL case(s) in the household, an epidemiological feature of endemic transmission [33]: in our study, having a VL case in the family represented an OR of 3.2 (95% C.I.: 1.643–6.361) (p = 0.0007) to be DAT-positive.

We observed a substantial proportion of domestic animals with positive serological titers and PCR-positivity, as we did previously in the Terai plains of Nepal [34,35]. For the DAT we chose to use one single, relatively high cut-off of 1:1600, regardless of the animal species (e.g. in dogs, 1:800 is the cut-off commonly used), to increase specificity. The DAT seroprevalence (12%) and SSU-rDNA PCR positivity (12%, Leishmania sp confirmed by sequencing in 4 samples) amongst goats clearly indicates local exposure to Leishmania parasites, as all goats are bred locally. It is tempting to conclude to L. donovani transmission as the causal agent, as domestic animals are also exposed to P. argentipes bites, who are opportunistic feeders. Nonetheless, circulation of animal Leishmania spp., can be another explanation as titers were low and none of the PCR positives could be confirmed as L. donovani.

We conclude there is local transmission of Leishmania donovani ongoing in the hilly districts of Nepal, based on three arguments. Firstly, there were several VL cases in permanent residents of settlements in the hills, most of them relatively recent, who had not travelled to known endemic areas. Secondly, a considerable number of asymptomatic residents have been exposed to Leishmania sp. as shown by DAT serology and PCR and in two of them L. donovani was confirmed. Thirdly, P. argentipes sand flies are present in these hilly districts. A substantial number were infected with Leishmania sp., and we confirmed L. donovani at species level in one specimen. Further work is required for a finer genotyping of L. donovani and to examine links with parasite populations encountered in the lowlands.

The hill districts Okhaldhunga and Bhojpur in Nepal are hitherto not considered as endemic for VL transmission in Nepal, which implies that the health staff is not specifically trained, diagnostic and treatment facilities are not available, reporting is not standardized, and there are no prevention campaigns. Those engaged in VL elimination should pay attention to these new geographical presentations and reconsider the existing risk maps.

Study clusters in Okhaldhunga & Bhojpur districts.

Okhaldhunga and Bhojpur. Bhojpur and Okhaldhunga are two non-adjacent districts located in the eastern hilly region of Nepal, north of the Terai The range of hills make the transition between the tropical plains and the high mountains of the Himalaya. They shift in altitude and climate from 300 meters elevation in the lower tropical zone, over an upper tropical (300–1,000 m), a subtropical zone (1,000–2,000), a temperate (2,000 to 3,000 m) to the subalpine zone (3000 to 4000m) (Wikipedia). Map sources: OCHA 2008.

Nepal map: http://en.wikipedia.org/wiki/Administrative_divisions_of_Nepal#/media/File:Nepal_districts.png

Okhadhunga district map: http://upload.wikimedia.org/wikipedia/commons/d/da/NepalOkhaldhungaDistrictmap.png

taken from http://commons.wikimedia.org/wiki/File:NepalOkhaldhungaDistrictmap.png

Bhojpur district map: http://upload.wikimedia.org/wikipedia/commons/8/8f/NepalBhojpurDistrictmap.png

taken from http://commons.wikimedia.org/wiki/File:NepalBhojpurDistrictmap.png

(DOCX)

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Age at time of VL: Number of cases by age group for the 35 retrospectively identified VL cases.

(TIFF)

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Characteristics of study households (N = 122).

(DOCX)

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DAT results by cluster.

(DOCX)

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DAT results by age and gender.

(DOCX)

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STROBE checklist.

(DOCX)

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