Open Access

Risk factors of visceral leishmaniasis: a case control study in north-western Ethiopia

  • Solomon Yared1, 2Email author,
  • Kebede Deribe3, 4,
  • Araya Gebreselassie2, 4,
  • Wessenseged Lemma5,
  • Essayas Akililu5,
  • Oscar D Kirstein6,
  • Meshesha Balkew1,
  • Alon Warburg6,
  • Teshome Gebre-Michael1 and
  • Asrat Hailu7
Parasites & Vectors20147:470

https://doi.org/10.1186/s13071-014-0470-1

Received: 4 July 2014

Accepted: 1 October 2014

Published: 14 October 2014

Abstract

Background

Visceral leishmaniasis (VL, also called “kala-azar”), is a life threatening neglected tropical infectious disease which mainly affects the poorest of the poor. VL is prevalent in Ethiopia particularly in the northwest of the country. Understanding the risk factors of VL infection helps in its prevention and control. The aim of the present study was to identify the factors associated with VL.

Methods

A case–control study was carried out during the period of January-July 2013 in northwest Ethiopia. Cases and controls were diagnosed using clinical presentation, the rk39 rapid diagnostic test and Direct Agglutination Test (DAT). A total of 283 (84.8% males versus 15.2% females) participants were interviewed. 90 cases and 193 controls were involved, matched by age, sex and geographical location with a ratio of 1:2 (case: controls). Univariate and backward multivariate conditional logistic regression were used to identify risk factors of VL.

Results

Elevated odds of VL was associated with goat ownership (OR = 6.4; 95%: confidence interval [Cl]: 1.5-28.4), living in houses with cracked wall (OR = 6.4; 95% Cl: 1.6-25.6), increased family size (OR = 1.3; 95% Cl: 1.0-1.8) and the number of days spent in the farm field (OR = 1.1; 95% Cl: 1.0-1.2). However, daily individual activities around the home and farm fields, mainly sleeping on a bed (OR = 0.2; 95%: Cl 0.03-0.9), sleeping outside the house under a bed net (OR = 0.1; 95% Cl: 0.02-0.36)] and smoking plant parts in the house during the night time (OR = 0.1; 95% Cl: 0.01-0.6) were associated with decreased odds of being VL case.

Conclusion

Our findings showed that use of bed net and smoke could be helpful for the prevention of VL in the area particularly among individuals who spend most of their time in the farm. VL control effort could be focused on improving housing conditions, such as sealing cracks and crevices inside and outside houses. Further research is warranted to elucidate the role of goats in the transmission of L. donovani, assess the impact of bed nets and the role of the traditional practice of smoking plants.

Background

Visceral leishmaniasis (VL, also called ‘’kala-azar”), is a life threatening neglected tropical infectious disease which mainly affects the poorest of the poor. VL, like HIV, suppresses the immunity of infected individuals and is fatal if left untreated. It is transmitted from human to human by the bite of female phlebotomine sand flies. More than 90% of global VL cases occur in six countries: Bangladesh, Brazil, Ethiopia, India, South Sudan and Sudan [1]. East Africa is the second largest VL focus in the world affecting several communities in Sudan, South Sudan, Kenya, Uganda, Somalia and Ethiopia [1],[2].

VL is prevalent in Ethiopia particularly in the lowlands of the country where it is suitable for breeding habitats of the vectors [3],[4]. Annually 3,700-7400 estimated cases occur [5]. It is estimated that 3.2 million people are at risk of VL in Ethiopia [6]. It is endemic in northwest, northeast, southwest and southern parts of the country [4]-[11]. In recent years, VL has also spread to areas where it was previously non-endemic (Libo-Kemekem and Sheraro) [6],[9],[11]. Seasonal migration of agricultural labourers between endemic and non-endemic regions, combined with biological, environmental and socio-economic risk factors may be responsible for the spread of this disease. Factors such as dog ownership, sleeping under an Acacia tree during the day, sleeping outside at night time and poor housing conditions were identified as increased VL risk in an epidemic area of Libo-Kemkem district, Amhara region [11].

Several VL cases have been reported from Kafta Humera district, northwest Ethiopia since the 1970s [3],[6],[12]. Anema and Ritmeijer [3] reported that more than 6000 cases were treated in Kafta Humera district from 1997 to 2004. VL outbreak has occurred throughout the Humera lowland since 1995, Mykadra village being one of the hot spots [4]. People who live in settlement areas and migrant workers are the most vulnerable to VL in the endemic region. For instance, from 1997 to 2004 more than 80% of patients with VL were male migrant workers infected with L. donovani who sleep in the farm [3],[4]. Kafta Humera and its surrounding areas have significant economic input for the country because cash crops such as sesame, cotton and sorghum are grown at a commercial scale. Due to this, hundreds of thousands of male migrant workers arrive every year in this place during the agricultural season (June-November) [3],[13]. The migrant workers are at high risk of acquiring VL as they live and work being exposed to vectors of VL.

Phlebotomus orientalis is a major vector of L. donovani in eastern Sudan [14] and it is the most likely vector in northwest Ethiopia [15],[16]. This vector is mainly associated with cracked vertisols (black cotton soil) and Acacia-Balanite forests [17],[18]. P. orientalis is the most predominant species and active during the night time and is more abundant during the dry season in the agricultural field and vicinity of the resettlement village [16]. However, a disease control strategy is still unpractical because the reservoir host and the ecology and behaviour of the vector have not yet been fully explicated. Therefore, identifying the risk factors of visceral leishmaniasis transmission and understanding the knowledge, attitude and practices that affect transmission of VL is vital to designing appropriate control methods to reduce the burden of cases in the area. The purpose of the present investigation was to assess the knowledge of villagers about kala-azar and to identify the risk factors associated with VL cases using a case–control study.

Methods

Study area and population

This study was carried out from the period of January to July 2013 in the western Tigray region, northwest Ethiopia, which borders Eritrea to the north and Sudan to the west. Based on the 2007 national census, Kafta Humera district has a total population of 92,167. Of these, 32.8% are urban inhabitants while the rest live in semi-urban and rural areas. Kafta Humera has been known as the focus of VL since 1970 [12]. We selected the study area based on recent VL cases diagnosed in Kahsay Abera Hospital, Setit Humera. The study participants are settlers in Adebay village who returned from Sudan in 1993. The communities in Endris/Hagereselam are also settlers who originated from different parts of Tigray region in the 2003 resettlement program. These two localities comprise more than 10,000 individuals. Agriculture comprises the major economic activity of the fertile black cotton soil (vertisol), supporting cultivation of sesame, cotton and sorghum. The region attracts a large number of labourers especially during the weeding and harvesting period with an average of 200,000 workers migrating each year from different parts of Ethiopia and Sudan [19]. Recently VL cases were highly prevalent in resettled communities and male migrant workers. It seems the area is more conducive for the availability of the vector and reservoir host. Cracked vertisol and forests (dominated by Balanites spp.) are more abundant as compared to other areas in the district [18].

In the study area, only Kahsay Abera hospital provides diagnostic and treatment services pertained to VL. Adebay and Hagereselam villages are about 20 and 30kms from the urban city of Setit Humera respectively. The villages are located at altitude ranges of 500 m-650meters a.s.l. and along coordinates 14° 11.47’N and longitudes of 36°46.07’E. Temperature reaches an average of 42°C between April and June and falls to between 25 and 35°C during the months between June and February. The average annual rainfall is 400-650 mm; with July and August receiving the highest amounts and rain is absent between October and April [20].

Research design

A retrospective case–control study was carried out based on visceral leishmaniasis cases, a total of 1128 VL cases were admitted and treated at Kahsay Abera Hospital from July 2011 to August 2013. These patients came from Setit Humera, Kafta Humera, Welkayit and Tsegede districts of northwest Ethiopia. Only 90 cases were included in the case and control study. VL patients came from Adebay and Endris/Hagereselam locality (administered under Kafta Humera district). Information about patients; i.e., age, sex and place of residence, date of admission, clinical features on admission and outcomes were collected from the registry of the hospital. Information relating to the patients, such as name, age, address, (Tabia/Kebele) is routinely recorded in the Registration Department. Patients were diagnosed by physicians at this Hospital and defined as a person having fever for at least 2 weeks, associated with weight loss and/or splenomegaly and confirmed either parasitologically or by rk39 dipstick test. Most of the case patients were treated before this study began (2011–2013).

For each case we recruited two controls without VL case history from the left or right side of the neighbouring house of the VL case. We only recruited cases the most recent one when VL treated more than one occurred in a household.

Each control was matched to the respective case by sex, location, migrant worker and age range (<5 years, 5–14 years, 15–39 years, and 40 years of age or older). In case no one matched the criteria, we used the next house. We recruited migrants for case control study individuals living in the area temporarily for agricultural practices. The respondents were interviewed by trained health professionals. Cases and controls responded to the interviews using a structured questionnaire to capture data regarding their demographic and socio economic characteristics (age, gender, occupation, education, time of living in village and family size), house construction material and its condition, domestic animal ownership and their number per house, kinds of animals kept, sleeping habits, use of bed net and individual activity in the agricultural fields. The questionnaire was also comprised of questions relating to the respondents’ knowledge, attitudes and common practices towards VL and sand flies. The questionnaires was translated into the local language (Tigrigna) and pre-tested.

Sample size determination

The sample size was calculated according to dog ownership and we chose the one with higher sample size in the study. Since owning a dog was found to be a risk factor for VL in a previous study in Amhara region [11] where it was found that 37.4% of controls had dogs. To detect an odds ratio of 2.28, with 80% power and 95% CI and 1:2 cases to control ratio, the final sample size was estimated at 78 cases and 155 controls. Adding 10% non-response rate the final sample size was 86 cases and 172 controls, with a minimum sample size of 258.

Direct Agglutination Test (DAT)

Asymptomatic VL infections usually occur in high endemic areas. However, blood samples were collected from the control groups, which were selected primarily on the basis of the absence of clinical symptoms and had no history of VL. Blood collection was carried out by health professionals recruited to the project. The serum was separated at Setit Humera Health Centre Laboratory and transported in a cool box to Addis Ababa. The serum was diagnosed by DAT at Addis Ababa University, Medical Faculty, Leishmaniasis Research & Diagnostic Laboratory. Serologic tests were carried out to identify asymptomatic infections among the controls.

DAT is a simple and user friendly test. The estimated sensitivity of DAT was 94% in Ethiopia [21]. In performing DAT, serum samples were diluted in physiological saline (0.9% NaCl) containing 0.8% β-mercaptoethanol. Two-fold serial dilutions of the sera were made, starting at a dilution of 1:100 and going up to a maximum serum dilution of 1:102,400. Freeze-dried DAT antigen produced by KIT Biomedical Research was reconstituted with physiological saline. 50 μL of DAT antigen solution (concentration of 5 × 107parasites per ml) was added to each well containing 50 μl of diluted serum. The results were read after 18 hours of incubation at ambient temperature. The cut-off value was established considering the titres obtained in samples from negative controls. Therefore, a sample was considered positive if it had a titre of 1:800 and above.

Ethical statement

Ethical clearance was obtained from Addis Ababa University, Medical Faculty, Department of Microbiology, Immunology and Parasitology. The study was part and parcel of a larger study on VL transmission dynamics supported by the Bill & Melinda Gates Foundation: “Studies on the ecology and transmission dynamics of visceral leishmaniasis in Ethiopia”. This project obtained ethical approval from the National Ethics Review Board. Support letters were obtained from the western Tigray Zone and Kafta Humera district Health Bureaus. Informed consent was obtained from all cases and controls, for young children under 18 years old, consent was obtained from their parents.

Data analysis

Data were entered and analyzed by the statistical packages SPSS, release 16 (SPSS Inc., Chicago, IL, USA) and STATA version 13(Stata Corporation, College Station, TX, U.S.A.). For descriptive statistics, frequency, percentage and mean were used. Association between dependent and independent variables were measured by use of Chi-square test. The risk factor data was analyzed by univariate and backward multivariate conditional logistic regression using the age, sex and residence matching. Odd ratio was calculated with 95% confidence interval for each variable. Variables with p < 0.10 in the univariate analyses were consequently tested in multivariable models. All statistical tests were carried out at a significance level of 0.05.

Results

Retrospective data

A total of 1128 (1019 males: 109 females) VL patients were admitted and treated at Kahsay Abera Hospital from the period of July 2011 to August 2013. The diagnoses were based on the patients’ history, clinical examinations, parasitological investigations, and/or rk39 dipstick test results. The number of VL cases varied over the seasons, with a peak in January and February (dry season) sharply declined during the wet season (June, July, and August) (Figure 1). Figure 2 shows distribution of VL cases by age and sex. Most of the cases(825) were in the age group 15–39 years; the second affected age groups were 5–14 years (184 cases) followed by <5 years (66 cases) and > = 40 years (53 cases).
Figure 1

Monthly VL admitted and treated at KahsayAbera Hospital, NW Ethiopia.

Figure 2

Distribution of VL cases by age and sex, amongst VL patients from KahsayAbera Hospital, Northwest Ethiopia, July 2011– August 2013.

Case–control study

Socio demographic characteristics

A total of 283 (84.8% males and 15.2% females) were involved in the study, of which 90 were cases (85.6% males versus 14.4% females) and 193 were controls (84.5% males and15.5% females), matched by age, sex and location (case: control ratio of 1:2). For some of the cases, there were more than two controls. Blood samples were taken from 193 control participants, and tested using DAT; and all samples were found to be negative for L. donovani infection. Cases and controls were comparable with respect to many characteristics, except cases tended to have larger family size compared to controls (p = 0.023); controls tended to be from Tigray ethnic groups compared to cases (p = 0.026). In addition, the two groups significantly differed with respect to occupation, educational status and duration slept in the field as described in Table 1.
Table 1

Socio demographic characteristics of participants in case–control study in the visceral leshmaniasis endemic foci of the Adebay and Hagereselam, North -West Ethiopia

Characteristics

Cases no. (%)

Control no. (%)

Total

P value

Gender

   

0.810

Male

77(85.6%)

163(84.5%)

240(84.8%)

 

Female

13(14.4%)

30(15.5%)

43(15.2%)

 

Age in years

   

0.975

<5

3(3.3%)

6(3.1%)

9(3.2%)

 

5-14

24(26.7%)

49(25.4%)

73(25.8%)

 

15-39

56(62.2%)

120(62.2%)

176(62.2%)

 

> = 40

7(7.8%)

18(9.3%)

25(8.8%)

 

Relation to household head

   

0.973

Head

22(24.4%)

55(28.5%)

77(27.2%)

 

Spouse

5(5.6%)

13(6.7%)

18(6.4%

 

Female child

7(7.8%)

15(7.8%)

22(7.8%)

 

Male child

45(50.0%)

88(45.6%)

133(47.0%)

 

Distantly related

6(6.7%)

13(6.7%)

19(6.7%)

 

Others (dependent, servant)

5(5.6%)

9(4.7%)

14(4.9%)

 

Current marital status

   

0.334

Single

61(67.8%)

129(67.2%)

190(67.4%)

 

Married

28(31.1%)

63(32.8%)

91(32.3%)

 

Divorced

1(1.1%)

0(.0%)

1(.4%)

 

Family size

   

0.025

1-2

9(10.0%)

36(18.7%)

45(15.9%)

 

3-5

29(32.2%)

76(39.4%)

105(37.1%)

 

6-8

39(43.3%)

69(35.8%)

108(38.2%)

 

> = 9

13(14.4%)

12(6.2%)

25(8.8%)

 

Ethnic group

   

0.026

Tigre

83(92.2%)

188(97.4%)

271(95.8%)

 

Amhara

4(4.4%)

5(2.6%)

9(3.2%)

 

Others

3(3.3%)

0(.0%)

3(1.1%)

 

Major occupation currently do earn money

   

0.045

Employed

0(0%)

1(.5%)

1(.4%)

 

Business man/women

3(3.4%)

6(3.1%)

9(3.2%)

 

Farmer

25(28.1%)

56(29.3%)

81(28.9%)

 

Housewife

8(9.0%)

13(6.8%)

21(7.5%)

 

Daily labourer

15(16.9%)

29(15.2%)

44(15.7%)

 

Student

27(30.3%)

73(38.2%)

100(35.7%)

 

Have no Job

1(1.1%)

9(4.7%)

10(3.6%)

 

Others (keeping Animal)

10(11.2%)

4(2.1%)

14(5.0%)

 

Able to read and write in any language (Yes)

60(66.7%)

144(74.6%)

204(72.1%)

0.165

School grade completed

   

0.001

Grade <5

60(66.7%)

89(46.1%)

149(52.7%)

 

Grade > =5

30(33.3%)

104(53.9%)

134(47.3%)

 

Permanent residence

   

0.676

Rural

17(18.9%)

30(15.5%)

47(16.6%)

 

Semi-urban

72(80.0%)

157(81.3%)

229(80.9%)

 

Urban

1(1.1%)

5(2.6%)

6(2.1%)

 

Study area (villages)

   

0.888

Adebay

69(76.7%)

152(78.8%)

222(78.1%)

 

Hagereselam/Endris

10(11.1%)

18(9.3%)

28(9.9%)

 

Migrant workers

11(12.2%)

23(11.9%)

34(12.0%)

 

Own farm land (Yes)

66(73.3%0

140(72.5%)

206(72.8%)

0.889

Months sleep in the farm field

   

0.000

June-November

55(77.5%)

104(95.4%)

159(88.3%)

 

December-May

0(.0%)

5(4.6%)

5(2.8%)

 

Throughout the year

16(22.5%)

0(.0%)

16(8.9%)

 

Knowledge, attitude and practices

All the 283 of participants were interviewed about their awareness of VL. If a child (<15 years old) was a case or a control, parents were interviewed on behalf of their children. Of the total participants, most (94.0%) had previously heard about the disease (Table 2).
Table 2

Knowledge of the participants on VL and sand flies vector

Variables

Frequency

Percent (%)

Knowledge

  

knowledge on VL

  

Awareness about kala-azar

266

94.0%

Know the signs and symptoms of kala-azar

171

60.4%

Mode of transmission

  

By the bite of sand fly

85

30.0%

By the bite of mosquitoes

148

52.3%

Do not know

50

17.7%

Knowledge on sand fly

  

Identify or recognize the vector

30

10.6%

Know about the breeding habitat of the vector

  

Dirty place

41

14.5%

Cervices in the house

20

7.1%

Thatched roof

2

.7%

Damp and dark areas

51

18.0%

Acacia-Balanite trees

70

24.7%

Cracked black cotton soil

21

7.4%

Sand soil

22

7.8%

Near animal burrow

14

4.9%

Do not know

42

14.8%

Concerning attitudes about severity of VL, 64.3% of the respondents considered VL as a more severe disease compared to malaria or other diseases (Table 3). The majority (94.7%) of the participants preferred modern medicine for treatment of VL. The study participants were practicing different methods to prevent mosquitoes and other biting flies; 69.9% of the respondents used a bed net; 15.9% cleaned their environment; while 8.5% used insecticide spraying and 5.3% used repellents (Table 3). Friends and neighbours (46.6%) and health personnel (45.6%) were major sources of information about kala-azar in the study area. The mass media such as television (4.2%), radio (1.4%) and newspapers (0.7%) were indicated as limited information sources. Similarly the school (1.4%) was also identified as a limited source of information (Table 3).
Table 3

Attitude and practice of the participants on VL and sand flies vector

Variables

Frequency

Percent (%)

Attitude

  

The degree of severity of kala-azar as compared to malaria, kala-azar is

  

Very serious

182

64.3%

Serious

95

33.6%

Ordinary

6

2.1%

Kala-azar is an important problem of disease

  

Yes

227

80.2%

No

56

19.8%

Kala-azar can be controlled through community participation

  

Yes

131

46.3%

No

152

53.7%

Kala-azar can affect family income

  

Yes

252

89.0%

No

31

11.0%

Kala-azar is fatal disease if it is untreated

  

Yes

280

98.9%

No

3

1.1%

Practice

  

Drug preference for treatment VL

  

Specific medicine

268

94.7

Indigenous medicine

4

1.4

Do not know

11

3.9

Prevention measures from mosquito/sand fly bite

  

Use of bed net

197

69.6

Insecticide spraying

24

8.5

Repellents

15

5.3

Cleanliness

45

15.9

Do not know

2

.7

Source of information

  

Health personnel

129

45.6

Friends and neighbours

132

46.6

Television

12

4.2

Magazines

2

.7

Radio

4

1.4

School

4

1.4

Risk factors

Table 4 depicts factors associated with VL transmission in univariate analysis. Factors associated with boosted VL odds were: family size in household, education level below grade five, damp house floors, cracked house walls and cracked black soil near houses. Similarly, animal ownership such as presence of cattle, owning dogs, goats and owning donkeys were found to significantly increase the odds of VL. Individual behaviour in the domestic and in the farm fields like dumping animal dung near houses, sleeping outside the house near animal shelters, sleeping under Balanites and Acacia trees at night, increased the number of days spent in the farm field and sleeping in the farm field over night was also associated with higher odds of VL risk.
Table 4

Factors associated with transmission of visceral leishmaniasis in univariate analysis

Variables

Cases

Control

OR

95.0% CI

 

P value

 

[n/N (%)]

[n/N (%)]

 

Lower

Upper

Socio-demographic

      

Family size (mean, 95% Cl)**

5.8(5.3-6.4)

4.8(4.4-5.1)

1.257

1.110

1.423

0.000

Own farm land

66(73.3%)

140(72.5%)

1.038

0.555

1.943

0.907

Able to read and write

60(66.7%)

144(74.6%)

0.598

0.319

1.121

0.109

School grade <5

60(66.7%)

89(46.1%)

3.432

1.760

6.693

0.000

Housing condition

      

Separate kitchen

43(47.8%)

122(63.2%)

0.534

0.320

0.892

0.016

Animal barn inside compound

45(50.0%)

79(40.9%)

0.622

0.350

1.106

0.106

Damp house floor

24(26.7%)

15(7.8%)

4.328

2.097

8.932

0.000

Sleeping on bed

74(82.2%)

183(94.8%)

0.287

0.128

0.642

0.002

Thatched roof

56(62.2%)

113(59.5%)

0.899

0.523

1.546

0.701

Cracked house wall

60 (66.7%)

84 (44.4%)

2.768

1.549

4.946

0.001

Cracked black soil near house

64(71.1%)

60(31.1%)

6.266

3.308

11.871

0.000

Animal ownership

      

Presence of cattle (mean, 95% Cl for mean)**

5.9(3.4-8.3)

1.8(1.3-2.3)

1.114

1.047

1.185

0.001

Dog ownership

47(52.2%)

48(24.9%)

3.544

1.970

6.376

0.000

Goats ownership

37(41.1%)

43(22.3%)

2.500

1.407

4.443

0.002

Number of goats per household (Mean,95% Cl for mean)**

4.01(2.4-5.6)

2.1(1.3-3)

1.041

1.002

1.083

0.039

Sheep ownership

38(42.2%)

72(37.3%)

1.183

0.710

1.971

0.519

Number of sheep per household (Mean,95% Cl for mean)**

3.9(2.1-5.6)

3.4(2.4-4.5)

1.006

0.975

1.038

0.704

Donkey ownership

59(65.6%)

98(50.8%)

1.971

1.117

3.477

0.019

Dumping animal dung near house

38(42.2%)

30(15.5%)

4.170

2.215

7.849

0.000

Apply insecticide to livestock

21(23.3%)

64(33.2%)

0.603

0.339

1.072

0.085

Individual activities

      

Sleeping outside the house near animal shelter

43(47.8%)

46(23.8%)

3.062

1.725

5.437

0.000

Sleeping under Balanites-acacia trees at night

64(71.1%)

96(49.7%)

2.613

1.453

4.702

0.001

Sleeping outside the house under bed net

16(17.8%)

118(61.1%)

0.130

0.066

0.258

0.000

House sprayed with insecticides

16(17.8%)

49(25.5%)

0.577

0.290

1.148

0.117

Smoking house

50(56.2%)

168(87.0%)

0.093

0.038

0.225

0.000

Period of days stayed in the farm field

      

Mean ( 95% Cl for mean)**

91.3(61.7-120.9)

8(5.9-10)

1.035

1.009

1.062

0.008

Sleeping in the farm field over night

66(76.7%)

109(56.5%)

4.159

1.745

9.913

0.001

Odd ratios (OR), 95% confidence intervals (Cl), and P values derived from univariate conditional logistic regression models. **refers to calculated means.

On the other hand, having a separate kitchen, sleeping on a bed, sleeping outside the house under a bed net during the warm season and smoking plant parts inside and outside houses had decreased odds of VL.

Table 5 depicts factors associated with VL in multivariable conditional logistic regression models. The odds for VL consistently increased as the size of the family increased in the household (OR1.3; 95% Cl: 1.026-1.799). Individuals who lived in a house with cracked walls had 6 times increased odds of being infected with VL compared with their counterparts (OR 6.495% Cl; 1.585-25.580). Similarly, those who owned a goat had increased odds of a being VL case compared with those who did not own goats (OR 6.4; 95%: Cl 1.5-28.4). However, daily individual activities around the home, mainly sleeping on a bed (OR 0.2; 95%: Cl 0.03-0.9)], sleeping outside the house under a bed net (OR 0.093 (95% Cl 0.024-0.357)] and smoking plant parts in the house during the night time [OR 0.082 (95% Cl 0.011-0.630)] were associated with decreased odds of being a VL case. Finally, the risk for VL was always elevated as the number of days spent in the farm field increased [OR 1.100 (95% Cl 1.015-1.192)].
Table 5

Factors associated with VL in a `multivariate conditional logistic regression model among the community in Northwest Ethiopia

Variables

Cases

Controls

Adjusted OR ratio

P value

No. (%)

No. (%)

(95% Cl)

Family size (mean 95% Cl)

5.8(5.3-6.4)

4.8(4.4-5.1)

1.359(1.026-1.799)

0.032

Sleeping on bed

74(82.2%)

183(94.8%)

0.158(0.028-0.898)

0.037

Ref. ground

16(17.8%)

10(5.2%)

1

 

Cracked house wall (Yes)

60 (66.7%)

84 (44.4%)

6.368(1.585-25.580)

0.009

Ref. (un-cracked)

30(33.3%)

105(55.6%)

1

 

Own goats (Yes)

37(41.1%)

43(22.3%)

6.445(1.463-28.384)

0.014

Ref. (No)

53(58.9%)

150(77.7%)

1

 

Sleeping outside the house under bed net

16(17.8%)

118(61.1%)

0.093(0.024-0.357)

0.001

Ref. (without bed net)

74(82.2%)

75(38.9%)

1

 

Smoking house (Yes)

50(56.2%)

168(87.0%)

0.082(0.011-0.630)

0.016

Ref. (No)

39(43.8%)

25(13.0%)

1

 

Number of days stayed in the farm field (mean 95% CL)

91.3(61.7-120.9)

8(5.9-10)

1.100(1.015-1.192)

0.020

Odd ratios (OR), 95% confidence intervals (Cl), and P values derived from multivariable conditional logistic regression models.

Discussion

Identifying the risk factors of VL infection in northwest Ethiopia offers a significant basis of information to design and develop effective control measures. There is poor knowledge, attitude and practice gap towards VL in the study area. Our results showed the presence of goats, larger family size; individual houses with cracked walls and number of days spent in the farm field were associated with increased risk of VL infection. On the other hand, daily individual behaviour in the domestic and natural habitat; mainly sleeping on a bed, sleeping outside the house with a bed net and smoking plant parts in the house at night time were associated with reduced risk of VL infection. The results here were in conformity with previous studies [22]-[34].

A total of 1128 (1019 males: 109 females) VL patients were admitted at Kahsay Abera Hospital during the period of July 2011 and August 2013. These patients came from different districts of northwest Ethiopia; mainly from Setit Humera, Kafta Humera, Welkayit and Tsegede. From the data, more male patients were seen than female patients, with a male to female ratio of 9:1. A similar result was reported in Gondar and Axum hospitals [35],[36]. This high male patient load could be due to the economic activities that entail gender bias. Previous studies documented that males are disproportionately affected by VL compared to females, this is mainly related to their work (agricultural activities, keeping animals, daily labourer and soldiers) [35],[36].

The present study revealed that VL case load in the hospital peaked during January and February, the dry season in the area. This was consistent with the agricultural labourer movement that peaks during the period June-November. In south Ethiopia, a high number of VL patients were diagnosed during August to November (rainy season) [37]. The VL transmission seasons (months) in Kafta Humera lowlands have not yet been delineated. However, its transmission may be associated with the abundance of sand flies in the area (March, April, May and early June) [Yared et al., unpublished]. Higher number of VL cases were recorded above 14 years of age group, which is in contrast to another study in South Sudan, where 56% of the cases were under 5 years old [38].

Almost all the study participants identified or have heard of VL. This is in agreement with studies conducted elsewhere in endemic communities [39]-[41]. The current study area has been known to be endemic for VL for more than four decades [12]. However, only a few of participants knew the mode of transmission and recognized the vector. Besides, only 7.4% of the participants knew the correct breeding sites of sand fly vectors in the area. However, recent study showed that cracked vertisols were identified as breeding site of P. orientalis and other sand flies in northwest Ethiopia [18]. As a result our observation indicated that enhancing awareness about specific breeding habitats of sand flies and mode of VL transmission are very vital to reduce the transmission of the infection.

In this study, owning goats was associated with elevated VL risk. Perhaps goats play no role as reservoirs of L. donovani, but they may attract the vector to human houses and thereby increase the risk of human exposure to infected sand flies. In the present study area, entomological studies showed that P. orientalis (the presumed vector of VL in north Ethiopia) has a feeding preference to domestic animals [16]. Similarly, owning domestic animals (cows, buffaloes or goats) was associated with a higher risk of being DAT positive VL elsewhere [23],[30],[32],[33],[42]-[44]. Another study in Ethiopia (Libo Kemekem district) has revealed that dog ownership in the villages was a significant risk factor for VL [11]. Studies carried out in Nepal and Bangladesh, found out that ownership of large domestic animals such as cattle and water buffalo was strongly protective [22],[24]. On the other hand, a case–control study in Bihar (India) found no significant associations between VL and keeping domestic animals inside the house or ownership of domestic animals [30]. Thus, different studies in different endemic countries have reported different or similar domestic animals as either risk factors or protective. This could be due to the variation of geographical location, the abundance of the host, the abundance, feeding preference, breeding habitat and resting site of the vector and the leishmanial infection rate.

We found a very strong association between VL and poor housing conditions, such as cracked house walls. Cracked walls could be made through drying and could be used as ideal breeding and resting sites of sand flies. We collected P. orientalis from the exterior cracked wall of houses using sticky traps in the villages (Yared et al. unpublished). Our study confirmed individuals who are sleeping regularly near the cracked walls are at higher risk of VL. In southern Ethiopia, an un-plastered house was a major individual risk factor [45]. Similarly in Nepal, houses constructed in mud and thatched with a damp floor were associated with elevated risk of VL [22],[26],[34]. In India, mud-plastered walls in houses and houses not sprayed with DDT in the past six months were significant risk factors for kala-azar [25],[30]. In India and Kenya [27],[29] mud plastered wall, mixed dwelling and cattle shed were found to be ideal environments for phlebotomine sand flies.

The final logistic regression model in the present analysis revealed larger family size in the household was associated with elevated VL risk. Two studies in Nepal agree with our result [26],[34]. This could be due to the increasing amount of carbon dioxide and odours released in the homestead that attract a large number of sand flies. Similar to previous studies [22],[34], our results showed sleeping on a bed was more protective as compared to sleeping on the ground. Studies indicated that sand flies emerge from the cracked vertisol [18] and move in short hops and fly close to the ground [46]. It also indicated that the risk for VL increased as the number of days spent in the farm fields increased. P. orientalis was found to be abundant in the farm fields (Yared et al., unpublished) and this may indicate VL transmission occurs outside of the villages. In Nepal, a regular forest visit was also associated with elevated VL odds [34]. Put together, these findings are highly indicative of the need for policy makers to devise control methods not only in the villages, but in the farm fields as well.

Bed nets were associated with protection of VL in Bangladesh and Nepal [22],[24]. A case control study in East Africa has also revealed that owning a mosquito net was associated with a reduced risk of VL [28]. Similarly our result confirmed that sleeping outside houses under bed nets was associated with decreased VL risk. Use of a bed net is significantly important to bar the transmission cycle of L. donovani infection from sand fly to human. During the dry season, almost all individuals in the communities sleep outside the house due to the hot weather conditions. Sand flies were also abundant during this time when collected from the vicinity of the villages in the cracked black soil and periphery of villages (Yared et al., unpublished). Long lasting insecticide treated nets (LLINs) were distributed by the government and are also commercially available. Bed nets that were not impregnated with insecticide or in poor condition were not protective [26]. Thus bed nets should be impregnated with insecticide in order to enhance its protectiveness.

Smoking plant parts in the house during the night time was associated with strong protection. The villagers, especially during the rainy season, commonly practiced smoking to repel mosquitoes and other night active flies, using wood of Weyiba (a Tigrigna term for Terminalia brownii -Combretaceae) inside and outside the house. However, its repellent activities against biting insects, have not been evaluated, and need further investigation. This species is a medicinal plant with antiplasmodial and antimicrobial activities [47]. Due to the exophagic and crepuscular behaviour of P. orientalis, LLINs may provide incomplete protection from bites [16]. Complementary control methods, such as repellents, are very vital where vectors are exophagic. Natural repellents such as neem and chinaberry seed oils are grown widely in the region and could be ideal and cheaper repellents [48]. They can be applied to people who work outdoors at night when the sand fly biting peaks, either during early evenings before people retire to bed or when people sleep outside their houses during the warmer seasons and while harvesting at night time.

The major strength of this study was the matching of cases with two controls; taking sex, age group, migration and location as matching variables. Misclassification bias is low since both cases and controls were selected after proper diagnostic tests were performed. We collected blood samples from all controls and tested using DAT to identify asymptomatic Leishmanial infection in the control group. However, this study is not without limitation. First income was not measured, because they didn’t know their own monthly and annual income. In addition, we didn’t consider the nutritional status of the respondents. Despite the limitations mentioned here we found very strong indicators of risk factors for VL and these variables would be pivotal for designing appropriate control measures.

These findings have important practical implications because several relevant features that will help to understand VL transmission dynamics have been elucidated. Besides, this study will be helpful for designing and developing effective control methods. It is also supportive for the policy maker to disseminate knowledge at individual and community level and to develop a systematic way of implementing control methods. Future studies considering risk factors of VL should include nutritional status and presence of other animals such as rodents. Additionally, future studies should investigate the risk factors of VL vectors biting at individual level as well as the association with density of phlebotomine sand flies and with the incidence of L. donovani infection in human. Finally, future studies should investigate whether these findings are consistent or not.

Conclusion

In conclusion, we found owning goats, living in houses with cracked walls, large family size and number of days spent in the farm were associated with increased VL risk. In contrast, sleeping on a bed, sleeping outside houses under bed nets and use of smoke at night time was associated with decreased odds of VL. Our findings have implications for planning and control of VL. Firstly, individual protective measures such as use of bed net and smoke could easily be adopted for the prevention of VL in the area particularly among individuals who spend most of their time in the field; and secondly improving housing conditions such as removing cracks from houses would help to reduce risk of VL. There are also research questions to be answered; first, the association of goat ownership and risk of VL should be investigated in detail, second, the repellent effect of the traditional smokes used in the area should be evaluated, and third the effectiveness of available bed nets for prevention of VL should be evaluated.

Declarations

Acknowledgements

This study was supported by Bill and Melinda Gates Foundation Global Health Program (grant number OPPGH5336). KD is supported by the Wellcome Trust Fellowship in Public Health and Tropical Medicine [grant number 099876]. We gratefully acknowledge Nurse Seltan Gebreselassie, and laboratory technician Shumuye Hagos for their assistance with collection of blood samples and separating serum at Setit Humera Health Centre. We thank Mokennen Arefaiene (head of Adebay Health centre) and Berhe Gebremeskel for identifying VL patients based on their address as well as cooperating and performing the questionnaires. We also thank Welelta Shiferaw and Asrat Bezuneh for their assistance in testing the blood samples using DAT. The Aklilu Lemma Institute of Pathobiology and Department of Medical Microbiology, Immunology and Parasitology, Faculty of Medicine, Addis Ababa University are acknowledged for allowing and supporting the study. Finally, we warmly thank the participants of the study and Kahsay Abera Hospital ward section for availing VL data.

Authors’ Affiliations

(1)
Aklilu Lemma Institute of Pathobiology, Addis Ababa University
(2)
Department of Biology, College of Natural Science, Jigjiga University
(3)
Brighton & Sussex Medical School
(4)
School of Public Health, Addis Ababa University
(5)
Department of Zoological Science, Addis Ababa University
(6)
Department of Microbiology and Molecular Genetics, The Institute of Medical Research Israel-Canada The Kuvin Center for the Study of Infectious and Tropical Diseases, Faculty of Medicine, The Hebrew University, Hadassah Medical School
(7)
Department of Microbiology, Immunology and Parasitology, Faculty of Medicine, Addis Ababa University

References

  1. Alvar J, Vélez ID, Bern C, Herrero M, Desjeux P, Cano J, Jannin J, Den Boer M: Worldwide and global estimates of its incidence. PLoS One. 2012, 7: e35671-10.1371/journal.pone.0035671.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Ngure PK, Kimutai A, Ng’ang’Z W, Rukunga G, Tonui WK: A review of leishmaniasis in Eastern Africa. JNMU. 2009, 23: 79-86.Google Scholar
  3. Anema A, Ritmeijer K: Treating HIV/AIDS and leishmaniasis co-infection in Ethiopia. JAMC. 2005, 172: 1434-1435.Google Scholar
  4. Hailu A, Gebre-Michael T, Berhe N, Balkew M: Leishmaniasis. Epidemiology and Ecology of Health and Disease in Ethiopia. Edited by: Kloos H, Berhane Y, Hailemariam D. 2006, Shama Books, Addis Ababa, Ethiopia, 556-576. 1Google Scholar
  5. Deribe K, Meribo K, Gebre T, Hailu A, Ali A, Aseffa A, Davey G: The burden of neglected tropical diseases in Ethiopia, and opportunities for integrated control and elimination. Parasit Vectors. 2012, 5: 240-10.1186/1756-3305-5-240.PubMed CentralView ArticlePubMedGoogle Scholar
  6. Tsegaw T, Gadisa E, Seid A, Abera A, Teshome A, Mulugeta A, Herrero M, Argaw D, Jorge A, Aseffa A: Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach. Geospat Health. 2013, 7: 299-308.View ArticlePubMedGoogle Scholar
  7. Fuller GK, Lemma A, Haile T, Gemeda N: survey of south-west Ethiopia. The Leishmanin skin test and epidemiological studies. Ann Trop Med Parasitol. 1979, 73: 417-430.PubMedGoogle Scholar
  8. Ayele T, Ali A: The distribution of visceral leishmaniasis in Ethiopia. Am J Trop Med Hyg. 1984, 33: 548-552.PubMedGoogle Scholar
  9. Alvar J, Bashaye S, Argaw D, Cruz I, Aparicio P, Kassa A, Orfanos G, Parreño F, Babaniyi O, Gudeta N, Cañavate C, Bern C: Kalaazar outbreak in Libo Kemkem, Ethiopia: epidemiologic and parasitologic assessment. Am J Trop Med Hyg. 2007, 77: 275-282.PubMedGoogle Scholar
  10. Hailu A, Gramiccia M, Kager PA: Visceral leishmaniasis in Aba-Roba, south-western Ethiopia: prevalence and incidence of active and subclinical infections. Ann Trop Med Parasitol. 2009, 103: 659-670. 10.1179/000349809X12554106963555.View ArticlePubMedGoogle Scholar
  11. Bashaye S, Nombela N, Argaw D, Mulugeta A, Herrero M, Nieto J, Chicharro C, Cañavate C, Aparicio P, Vélez ID, Alvar J, Bern C: Risk factors for visceral leishmaniasis in a new epidemic site in Amhara Region, Ethiopia. Am J Trop Med Hyg. 2009, 81: 34-39.PubMedGoogle Scholar
  12. Tekle A, Neri D, Debessai A: Kalaazar in Humera (north-west Ethiopia). Parassitologia. 1970, 72: 21-25.Google Scholar
  13. Mengesha B, Abuhoy M: Kala-azar among labour migrants in Metema-Humera region of Ethiopia. Trop Geogr Med. 1978, 30: 199-206.PubMedGoogle Scholar
  14. Seblova V, Volfova V, Dvorak V, Pruzinova K, Votyapka J, Kassahun A, Gebre-Michael T, Hailu A, Warburg A, Volf P:Phlebotomusorientalis sandflies from two geographically distant Ethiopian localities: biology, genetic analyses and susceptibility to Leishmaniadonovani. PLoSNegl Trop Dis. 2013, 7: e2187-10.1371/journal.pntd.0002187.View ArticleGoogle Scholar
  15. Elnaiem DA, Ward RD, Hassan HK, Miles MA, Frame IA: Infection rates of Leishmaniadonovani in Phlebotomusorientalis from a focus of visceral leishmaniasis in eastern Sudan. Ann Trop Med Parasitol. 1998, 92: 229-232. 10.1080/00034989860085.View ArticlePubMedGoogle Scholar
  16. Gebre-Michael T, Balkew M, Berhe N, Hailu A, Mekonnen Y: Further studies on the phlebotominesandflies of the kala-azar endemic lowlands of Humera- Metema (North-West Ethiopia) with observations on their natural blood meal sources. Parasit Vectors. 2010, 3: 6-10.1186/1756-3305-3-6.PubMed CentralView ArticlePubMedGoogle Scholar
  17. Elnaiem DA, Connor SJ, Thomson MC, Hassan MM, Hassan HK, Aboud MA, Ashford RW: Environmental determinants of the distribution of Phlebotomusorientalis in Sudan. Ann Trop Med Parasitol. 1998, 92: 877-887. 10.1080/00034989858925.View ArticlePubMedGoogle Scholar
  18. Moncaz A, Kirstein O, Gebresellassie A, Lemma W, Yared S, Gebre-Michael T, Hailu A, Shenker M, Warburg A: Characterization of breeding sites of Phlebotomusorientalis-The vector of visceral leishmaniasis in northwestern Ethiopia. Acta Trop. 2014, 139C: 5-14. 10.1016/j.actatropica.2014.06.013.View ArticleGoogle Scholar
  19. Haileselassie B, Ali A: Assessment of insecticide treated nets coverage for malaria control in Kafta-Humera district, Tigray: Possession versus use by high-risk groups. Ethiop. J Health Dev. 2008, 22: 259-267.Google Scholar
  20. Gemetchu T, Zerihune A, Assefa G, Lemma A: Observations on the sandfly (phlebotomidae) fauna of Setit Humera (Northwestern Ethiopia). Ethiop Med J. 1975, 13: 41-51.Google Scholar
  21. ter Horst R, Tefera T, Assefa G, Ebrahim AZ, Davidson RN, Ritmeijer K: Field evaluation of rK39 test and direct agglutination test for diagnosis of visceral leishmaniasis in a population with high prevalence of human immunodeficiency virus in Ethiopia. Am J Trop Med Hyg. 2009, 80: 929-934.PubMedGoogle Scholar
  22. Bern C, Joshi AB, Jha SN, Das ML, Hightower A, Thakur GD, Bista MB: Factors associated with visceral leishmaniasis in Nepal: bed-net use is strongly protective. Am J Trop Med Hyg. 2000, 63: 184-188.PubMedGoogle Scholar
  23. Mukhtar MM, Sharief AH, el Saffi SH, Harith AE, Higazzi TB, Adam AM, Abdalla HS: Detection of antibodies to Leishmaniadonovani in animals in a kala-azar endemic region in eastern Sudan: a preliminary report. Trans R Soc Trop Med Hyg. 2000, 94: 33-36. 10.1016/S0035-9203(00)90429-2.View ArticlePubMedGoogle Scholar
  24. Bern C, Hightower WA, Chowdhury R, Ali M, Amann J, Wagatsuma Y, Haque R, Kurkjian K, Vaz EL, Begum M, Akter T, Cetre-Sossah BC, Ahluwalia BI, Secor DE, Breiman FR, Maguire HJ: Risk Factors for Kala-Azar in Bangladesh. Emerg Infect Dis. 2005, 11: 655-662. 10.3201/eid1105.040718.PubMed CentralView ArticlePubMedGoogle Scholar
  25. Ranjan A, Sur D, Singh VP, Siddique NA, Manna B, Lal CS, Sinha PK, Kishore K, Bhattacharya SK: Risk factors for Indian kala-azar. Am J Trop Med Hyg. 2005, 73: 74-78.PubMedGoogle Scholar
  26. Schenkel K, Rijal S, Koirala S, Koirala S, Vanlerberghe V, Van der Stuyft P, Gramiccia M, Boelaert M: Visceral leishmaniasis in southeastern Nepal: a cross-sectional survey on Leishmaniadonovani infection and its risk factors. Trop Med Int Health. 2006, 11: 1792-1799. 10.1111/j.1365-3156.2006.01735.x.View ArticlePubMedGoogle Scholar
  27. Ryan JR, Mbui J, Rashid JR, Wasunna MK, Kirigi G, Magiri C, Kinoti D, Ngumbi PM, Martin SK, Odera SO, Hochberg LP, Bautista CT, Chan AS: Spatial clustering and epidemiological aspects of visceral leishmaniasis in two endemic villages, Baringo District, Kenya. Am J Trop Med Hyg. 2006, 74: 308-317.PubMedGoogle Scholar
  28. Kolaczinski JH, Reithinger R, Worku DT, Ocheng A, Kasimiro J, Kabatereine N, Brooker S: Risk factors of visceral leishmaniasis in East Africa: a case–control study in Pokot territory of Kenya and Uganda. Int J Epidemiol. 2008, 37: 344-352. 10.1093/ije/dym275.PubMed CentralView ArticlePubMedGoogle Scholar
  29. Kesari S, Bhunia GS, Kumar V, Jeyaram A, Ranjan A, Das P: Study of house-level risk factors associated in the transmission of Indian Kala-azar. Parasit Vectors. 2010, 3: 94-10.1186/1756-3305-3-94.PubMed CentralView ArticlePubMedGoogle Scholar
  30. Khanal B, Picado A, Bhattarai NR, Van Der Auwera G, Das ML, Ostyn B, Davies CR, Boelaert M, Dujardin JC, Rijal S: Spatial analysis of Leishmaniadonovani exposure in humans and domestic animals in a recent kala azar focus in Nepal. Parasitology. 2010, 137: 1597-1603. 10.1017/S0031182010000521.View ArticlePubMedGoogle Scholar
  31. Singh SP, Hasker E, Picado A, Gidwani K, Malaviya P, Singh RP, Boelaert M, Sundar S: Risk factors for visceral leishmaniasis in India; Further evidence on the role of domestic animals. Trop Med Int Health. 2010, 15: 29-35. 10.1111/j.1365-3156.2010.02515.x.PubMed CentralView ArticlePubMedGoogle Scholar
  32. Singh SP, Picado A, Boelaert M, Gidwani K, Andersen EW, Ostyn B, Meheus F, Rai M, Chappuis F, Davies C, Sundar S: The epidemiology of Leishmaniadonovani infection in high transmission foci in India. Trop Med Int Health. 2010, 15: 12-20. 10.1111/j.1365-3156.2010.02519.x.View ArticlePubMedGoogle Scholar
  33. Khatun M, Rahim MA, Huda M, Haider N, Ghosh D, Mondal D: Serological Evidence of Visceral Leishmaniasis (VL) among Goats in VL Endemic Areas of Bangladesh, International Society for Infectious Diseases 2012, 15th International congress on Infectious diseases, Bangok, Thailand, June 13–16 2012, Centara Grand &Bangkok Convention Centre at Central World, 15:[Abstract]. ;. ., [http://www.xcdsystem.com/icid_ise2012/ISE.279.html]
  34. Uranw S, Hasker E, Roy L, Meheus F, Das ML, Bhattarai NR, Rijal S, Boelaert M: An outbreak investigation of visceral leishmaniasis among residents of Dharan town, eastern Nepal, evidence for urban transmission of Leishmaniadonovani. BMC Infect Dis. 2013, 13: 21-10.1186/1471-2334-13-21.PubMed CentralView ArticlePubMedGoogle Scholar
  35. Haile T, Anderson SD: Visceral Leishmaniasis in Northern Ethiopia. East Afr Med J. 2006, 83: 389-392. 10.4314/eamj.v83i7.9451.View ArticlePubMedGoogle Scholar
  36. Mengistu G, BeleteAyele B: Visceral Leishmaniasis and HIV co-infection in patients admitted to Gondar university hospital, northwest Ethiopia. EthiopJHealth Dev. 2007, 21: 53-60.Google Scholar
  37. Lindtjørn B: Kala-azar in south-west Ethiopia: seasonal variation in disease occurrence. Trans R Soc Trop Med Hyg. 1984, 78: 790-791. 10.1016/0035-9203(84)90022-1.View ArticlePubMedGoogle Scholar
  38. Nyunguraa JL, Nyambatib VCS, Muitac M, Eric Muchirid E: Risk factors for the transmission of kala-azar in Fangak, South Sudan. SSMJ. 2011, 4: 26-29.Google Scholar
  39. Perception of Kalazar among Pokot Communities in Amudat, Uganda. 2002, Final report by Epicenter and MSF, SwizzerlandGoogle Scholar
  40. Mondal D, Singh SP, Kumar N, Joshi A, Sundar S, Das P, Siddhivinayak H, Kroeger A, Boelaert M: Visceral leishmaniasis elimination programme in India, Bangladesh, and Nepal: reshaping the case finding/case management strategy. PLoSNegl Trop Dis. 2009, 3: e355-10.1371/journal.pntd.0000355.View ArticleGoogle Scholar
  41. Alemu A, Esmael N, Dessie Y, Hamdu K, Mathewos B, Birhan W: Knowledge, attitude and practices related to visceral leishmaniasis among residents in Addis Zemen town, South Gondar, Northwest Ethiopia. BMC Public Health. 2013, 13: 382-10.1186/1471-2458-13-382.PubMed CentralView ArticlePubMedGoogle Scholar
  42. Bhattarai NR, Van der Auwera G, Rijal S, Picado A, Speybroeck N, Khanal B, De Doncker S, Das ML, Ostyn B, Davies C, Coosemans M, Berkvens D, Boelaert M, Dujardin JC: Domestic animals and epidemiology of visceral leishmaniasis, Nepal. Emerg Infect Dis. 2010, 16: 231-237. 10.3201/eid1602.090623.PubMed CentralView ArticlePubMedGoogle Scholar
  43. Singh N, Mishra J, Singh R, Singh S: Animal reservoirs of visceral leishmaniasis in India. J Parasitol. 2013, 99: 64-67. 10.1645/GE-3085.1.View ArticlePubMedGoogle Scholar
  44. Williams AO, Mutinga J, Rodgers M: Leishmaniasis in a domestic goat in Kenya. Mol Cell Probes. 1991, 5: 319-325. 10.1016/S0890-8508(06)80002-2.View ArticlePubMedGoogle Scholar
  45. Ali A: Visceral leishmaniasis in southern Ethiopia: I. Environmental and behavioural risk factors. Ethiop J Health Dev. 1997, 11: 131-137.Google Scholar
  46. Quate LW:Phlebotomus sandflies of the Paloich area in the Sudan (Diptera, Psychodidae). J Med Ent. 1964, 3: 213-268.View ArticleGoogle Scholar
  47. Machumi F, Midiwo OJ, Jacob M, Khan IS, Tekwani LB, Walker L, Muhammad I: Phytochemical, Antiparasitic and Antimicrobial Investigations of Terminalia brownie, The 15th NAPRECA Symposium 7-10th Dec. 2013. Khartoum, Sudan, 15:42-43[Abstract].Google Scholar
  48. Kebede Y, TeshomeGebre-Michael T, Balkew M: Laboratory and field evaluation of neem (AzadirachtaindicaA. Juss) and Chinaberry (Meliaazedarach L.) oils as repellents against Phlebotomusorientalis and P. bergeroti (Diptera: Psychodidae) in Ethiopia. Acta Trop. 2010, 113: 145-150. 10.1016/j.actatropica.2009.10.009.View ArticlePubMedGoogle Scholar

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© Yared et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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