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cRCTs
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| Huda 2019 [4] | cRCT | BangladeshFulbaria and Trishal Mymensingh districtIntervention: Fulbaria Control: Trishal12 HH in three clusters each | Sand fly density/CDC light trapsBaseline prior to IRS,At 1 month, 3 months, 6 months, 9 months and 12 months post-IRSDeltamethrin, and deployment of larvicide (Temephos 50 EC, 5 mL/10 L) |
Phlebotomus argentipes
| 18 house to house searches with 539 HH and 2505 attendants have not identified fever cases of more than 2 weeks, or PKDL like skin lesions | Total P. argentipes captured (Here: female only, SD)Baseline0.67 (0.93)1 month0.81 (1.12)3 months1.03 (1.13)6 months0.64 (0.83)9 months0.69 (1.04)12 months0.36 (0.83) | Total P. argentipes captured (Here: female only, SD)Baseline0.44 (0.73)1 month2.58 (4.54)3 months5.39 (7.87)6 months1.81 (2.91)9 months1.14 (1.46)12 months1.17 (1.78) | Here effect on count- 2.00 (-0.77, -3.23)- 4.59 (-2.24, -6.93)- 1.40 (-0.61, -2.16)- 0.68 (-0.46, -0.87)- 1.04 (-0.63, -1.42)The reduction in the incidence rate of female P. argentipes sandfly count was 74% at 12-month follow-up for IRS/Temephos | 17/25 |
| Chowdhury 2017 [15] | cRCT | BangladeshFulbaria, Mymensingh district5 HH in 10 sections with 6 clusters each | Sand fly density/CDC light trapsBaseline prior to IRSFollow up: 2, 4, 5, 7, 11, 14, 15, 18 and 22 months post-IRSAlpha Cypermethrin 5 WP |
Phlebotomus argentipes
| | Total P. argentipes captured (Here: per HH)Baseline11.53 (10.35–12.81)2 month0.17 (0.05–0.39)4 months0.37 (0.18–0.66)5 months2.17 (1.67–2.76)7 months3.77 (3.1–4.53)11 months0.33 (0.16–0.61)14 months0.1 (0.02–0.29)15 months0.83 (0.54–1.23)18 monthsNot done22 monthsNot done | Total P. argentipes captured (Here:per HH)Baseline10.57 (9.44–11.8)2 month0.73 (0.46–1.11)4 months3.13 (2.53–3.83)5 months12.1 (10.89–13.41)7 months10.83 (9.69–12.08)11 months3.8 (3.13–4.56)14 months0.83 (0.54–1.23)15 months4.87 (4.11–5.72)18 months20.27 (18.69–21.94)22 months9.83 (8.74–11.02) | The reduction of sand fly vector densities was 14% to 80% at the different points of measurement and the rate ratio (RR) of P. argentipes sand fly counts after and before the intervention was 0.86 and 0.20 up to a 15 months period. | 18/25 |
| Chowdhury 2011/1 [16] | cRCT | BangladeshFulbaria, Mymensingh district.4 villages wererandomly selected from the 20 villages, each village was divided into 6 geographic clusters (24 clusters). 120 HH were selected for vector collection. | Sand fly density/CDC light trapsBaseline prior to IRS,At 1 month, 2 months, 4 months, 5 months and 12 months post-IRSDeltamethrin |
Phlebotomus argentipes
| | Total P. argentipes capturedBaseline5951 month-2 months84 months2615 months12912 months60 | Total P. argentipes capturedBaseline6321 month-2 months514 months12405 months65212 months409 | (Here: Change in Rate Ratios)0.99 (0.70–1.41)-0.15 (0.05–0.46)0.24 (0.17–0.35)0.21 (0.14–0.32)1.57 (1.09–2.25) | 16/25 |
| Das 2010 [18] | cRCT | NepalSunsari and Morang24 clusters with 1335 HHs and 6955 habitants.November 2006 to April 2007 | CDC light traps and standard mouth suction aspirationBaseline 2 weeks prior to IRS2 weeks, 4 weeks and 5 months post-IRSAlpha-cypermethrin | Phlebotomus argentipes, P. papatasi, Sergentomyia spp. | | P. argentipes captured per trap (and CI)Baseline11.0 (6.0–20.3)2–4 survey mean0.6 (0.3–1.3)P. argentipes captured through aspiration (and CI)Baseline1.3 (0.7–2.4)2–4 survey mean0.0 (0.0–0.1) | P. argentipes captured per trap (and CI)Baseline5.7 (3.6–8.9)2–4 survey mean2.3 (1.1–4.9)P. argentipes captured through aspiration (and CI)Baseline1.8 (1.1–2.9)2–4 survey mean0.8 (0.6–1.0) | P = 0.070 0.009 0.391<0.001 | 11/25 |
| Joshi 2009 [17] | cRCT | Bangladesh, India and Nepal120 HH in 24 clusters, with 6 clusters for IRS | Sand fly density/CDC light traps (2 nights)Baseline prior to IRS,At 5 months in India and Nepal and 6 months in Bangladesh post-IRSDeltamethrin in BangladeshDDT in IndiaAlpha cypermethrin in Nepal |
Phlebotomus argentipes
| | Total sandflies captured per trap (and CI 95%))Baseline12.32 (9.54–12.32)5 months6.14 (4.00–10.47) | Total sandflies captured per trap (and CI 95%))Baseline19.41 (6.97–12.71)5 months12.15 (8.68–17.00)p value in IRS versus control: baseline 0.184, 5 months 0.035 | Reduction in counts 72.4%, with variation between 52–124% between sitesNepal site 1-10.7 (-26.7, 5.3)53%Nepal site 2-8.5 (-16.0, -0.9)52%Bangladesh-10.3 (-13.8, -6.8)94%India-7.1 (-9.5, -4.7)124% | 16/25 |
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RCT
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| Banjara 2019 [19] | RCT(for the vector control part of the study) | Nepal, Saptari districtIntervention 264 HH Control 92 HH | Sand fly density/CDC light trapsBaseline prior to IRSFollow-up after 1, 3, 9 and 12 months post-IRSDeltamethrin |
Phlebotomus
argentipes
| | Total sandflies captured per HH/nightBaseline2.211 month2.753 months3.369 months3.8312 months23.67 | Total sandflies captured per HH/nightBaseline6.291 month31.963 months2.429 months1.6212 months6.46 | Change and 95%CI- 25.13 (-49.23 — –1.02)5.02 (2.17–7.86)5.82 (3.11–8.52)21.29 (17.7–24.87) | 15/25 |
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Intervention studies
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Asia
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| Kumar 2020 [3] | Intervention study | IndiaVaishali district of BiharFor entomological assessment, one intervention village with 2 HH from each of 3 HH types, same in control village (non endemic, not in IRS programme() | CDC light trapTwo rounds of IRS were performed annually using 166 IRS squads.In 2015, the first round of IRS was performed using DDT (WP 50% at a dosage of 1 g/m2). In the second round, DDT was used for the first 15 days then SP (alphacypermethrin 5% at 25 mg/m2). |
Phlebotomus argentipes
| All 16 blocks of the Vaishali district achieved the VL elimination target in 2016. VL cases were reduced from 664 in 2014 to 163 in 2016 and endemic villages from 282 in 2014 to 142 in 2016.The case reduction rate was increased from 22.6% in 2014 to 58.8% in 2016.On average, 74 VL infected villages became Kala-azar free each year from 2015 to 2016. | Total P. argentipes captured (per trap after each round of IRS)Baseline2.0 (1–17)3.7 (1–19)3.4 (1–2016)3.2 (1–12)3.3 (1–14)15 days1.4 (1–6)2.3 (1–6)0 (0–0)0 (0–0)0 (0–0)1 month1.7 (1–8)3.4 (1–10)0.6 (0–2)0.2 (0–1)0.5 (0–2)3 months2.5 (1–8)4.7 (1–7)2.3 (0–2)1.7 (0–2)1.8 (0–2) | Total P. argentipes captured (per trap after each round of IRS)Baseline2.3 (1–9)3.3 (1–13)2.9 (1–14)3.5 (2–17)3.2 (2–13)15 days2.6 (1–8)3.4 (2–14)2.7 (2–18)3.2 (2–14)2.9 (1–10)1 month2.1 (1–9)3.6 (1–12)2.9 (1–8)3.1 (1–12)3.3 (1–16)3 months2.5 (1–7)3.5 (1–14)3.0 (1–10)3.4 (1–11)2.8 (2–12) | Percentage change15 days-46.9-40.1-94.6-90.8-91.51 month-4.6-17.2-84.2-81.5-85.93 months16.519.7-38.6-43.9-33.2A significant difference was observed in P. argentipes densities collected in SP sprayed and unsprayed villagesduring the 15 days, 1 month, and 3 months post-IRS collections (t = 4.6; P <0.01).This difference was observed in the 15 days post-IRS collections (t = 3.2; P <0.05) for DDT-IRS periods. No significant difference was observed in the 1-month and 3-month post-IRS collections (t = <1.7; P = 0.12).At the 15 days post-IRS (SP round), the sand fly RR ranged between 91.5 and 94.6%. A minimum of 81.5% (maximum 85.9%) of the sand fly RR was maintained in SP-sprayed villages for up to 1 month post-IRS. At 3 months post-IRS, the RR ranged from 33.2% to 43.9%.While in the DDT-IRS round in the intervention villages, the sand fly RR at the 15 days post-IRS ranged from 40.1% to 46.9%, and at the 1 month post-IRS, the RR was recorded between 4.6% and 17.2%. | 13.5/18 |
| Mandal 2019 [33] | Intervention study | IndiaVaishali districtIntervention 12 HHControl 6 HH | Sand fly density/CDC light trapsBaseline 2 weeks prior to IRS,At 2 weeks, 1 month and 3 months post-IRSFirst round of IRS: DDT (50%)Second round of IRS synthetic pyrethroid (5%) |
Phlebotomus argentipes
| | Total P. argentipes capturedFirst round of IRSBaseline14.2 (1–28)2 weeks6.2 (5–14)1 month6.5 (1–14)3 months9.5 (1–16)Total P. argentipes capturedSecond round of IRSBaseline10.5 (1–21)2 weeks0 (0–0)1 month2.3 (2–5)3 months8.5 (3–15) | Total P. argentipes capturedBaseline12.3 (2–14)2 weeks9.2 (8–20)1 month8.3 (1–18)3 months9.7 (9–20)Total P. argentipes capturedBaseline7.8 (1–17)2 weeks6.8 (3–12)1 month6.7 (5–13)3 months11.7 (1–22) | Percentage reduction- 34.1- 25.9- 14.1- 90.5- 66.7- 55.6 | 15.5/18 |
| Poché 2018 [32] | Intervention study | IndiaStudy site: 24 villages in two Bihar districts: Saran and Muzaffarpur (India) | Sand fly density/CDC light trapsNo baselineBiweekly collection over 47 weeks in 12 villages |
Phlebotomus argentipes
| | Total P. argentipes collectionMuzaffarpur 26388Saran 11952 | Data of untreated villages not presentedThe results of this study 1) provide ecological data regarding P. argentipes monthly relativeabundance, spatial distribution, and host preference comparable to previous research; and 2) suggest relative P. argentipes abundance within IRS-treated and untreated villages do not differ significantly | | 13.5/18 |
| Chowdhury 2018 [20] | Intervention study | BangladeshMymensingh districtIntervention 36 HH in 8 districts (upazilas)Control 36 HH in 8 districts | Sand fly density/CDC light trapsBaseline 2 weeks prior to IRS,At one and 5 months post-IRSDeltamethrin 5 WP |
Phlebotomus argentipes
| | Total P. argentipes capturedBaseline9301 month10215 months761P. argentipes captured per trap (and SD)Baseline4.36 ± 5.73 (2.42±6.30)1 month5.43 ± 6.11 (3.36±7.50)5 months5.83 ± 5.79 (3.87±7.79) | Total P. argentipes capturedBaseline4601 month4665 months494P. argentipes captured per trap (and SD)Baseline8.71 ± 11.37 (4.86±12.55)1 month10.76 ± 7.50 (7.27±14.26)5 months10.46 ± 7.79 (6.24±14.67) | Percentage reduction- 22.61- 6.73 | 14.5/18 |
| Kumar 2017 [3] | Intervention study | IndiaSamastipur district400 HHs were includedFor IRS MirzapurControl in Bisanpur | Aspiration Technique and CDC light trapsBaselineMonthly measurements for 15 months5% DDT suspension |
Phlebotomus argentipes
| | | | Percent reduction of sandfly densityMonth 1 81.75 (70.6–92.8)Month 2 82.40 (72.7–92.0)Month 3 9.02 (-51.9–69.9)Month 4–65.33 (-279.6–148.9)Month 5 14.97 (-20.0–50.0)Month 6 82.65 (68.4–96.8)Month 7 82.54 (70.2–94.8)Month 8 83.88 (69.2–98.4)Month 9 66.12 (49.2–82.9)Month 10 62.66 (41.7–83.5)Month 11 65.75 (39.8–91.6)Month 12 73.55 (62.1–84.9)Month 13 58.02 (12.2–103.8)The observed percent-reduction for IRS is between 4.29% - 86.77% | 13/18 |
| Coleman 2015 [30] | Intervention study | India, BiharDDT8 VL endemic districts, with 96 sentinel HH in 16 villages | Sand fly density/CDC light trapsNo baseline collectionFollow–up after 1 month and 2 month post-IRSDDT |
Phlebotomus argentipes
| | Total sandflies capturedBaseline01 month993 months122 | Total sandflies capturedBaseline01 month2173 months123 | Significant differences between the IRS and non-IRS villages exist at 1 month post-IRS only (p = 0.001) | 12.5/18 |
| Chowdhury 2011/2 [21] | Intervention study | IndiaVaishali with 116.056 HHNepalSarlahi with 111.076 HHSunsari with 5153 HHThe study villages were sprayed, by the national VL-control programmes, in April–June 2008In each areaIntervention 40 HHControl 10 HH | Sand fly density/CDC light trapsBaseline 2 weeks prior to IRS,At 2 weeks, 4 weeks and 6 months post-IRSIndia: DDT based wettable powderNepal: Lambda-cyhalothrin |
Phlebotomus
argentipes
| | P. argentipes captured per trapIndiaBaseline41 (35.0–47.8)2 weeks3.3 (1.7–5.6)4 weeks7.5 (5.1–10.7)6 months2.3 (1.0–4.3)Nepal SunsariBaseline7.3 (4.9–10.4)2 weeks0.5 (0.0–2.8)4 weeks5.0 (3.1–7.7)6 months2.8 (1.4–4.9)Nepal SarlahiBaseline54.8 (47.7–62.5)2 weeks0.0 (-)4 weeks0.0 (-)6 months5 (3.1–7.7) | P. argentipes captured per trapIndiaBaseline12 (8.8–15.9)2 weeks13.5 (10.1–17.6)4 weeks14.3 (10.8–18.5)6 months1.25 (0.4–2.9)Nepal SunsariBaseline7.5 (5.1–10.7)2 weeks3.0 (1.1–6.5)4 weeks4.0 (2.3–6.5)6 months2.5 (1.2–4.6)Nepal SarlahiBaseline20.3 (16.1–25.2)2 weeks32.5 (27.2–38.6)4 weeks6.8 (4.4–9.8)6 months5 (3.1–7.7) | -122.26- 75.36- 62.96- 31.0317.246.9- 95.73- 87.32- 68.29 | 10.5/18 |
| Kumar 2009 [29] | Intervention studyBefore and after, no control | IndiaVaishali, Muzaffarpur, East Champaran and Saran districts119 endemic villages in | Standard aspirator methodBaseline prior to IRS1 month and 3 months post-IRSDDT |
Phlebotomus argentipes
| | | In most of the districts, the incidence of kala-azar cases reduced after the DDT spray coupled with IEC activities and government efforts.There are few endemic districts like Saharsa, Saran, Muzaffarpur and Vaishali districts that have shown increase in the incidence of cases in the month of December 2007 in comparison with December 2006.Community acceptance: out of the 500 households examined, 4.8% has totally refused the spraying due to different reasons and 9.6% refused partially.After spraying the house index of P. argentipes decreased considerably when compared to pre-spray data in the study districts.Significant difference in the density of sandflies during pre- and post-spray periods in Vaishali, Saran and East Champaran districts and there was no significant difference in Muzaffarpur district.DDT is effective in controlling sand fly populations.It is suggested to strengthen the IEC activities to sensitise the community and thorough monitoring of spraying operation is essential to achieve the desired result in stipulated time. With proper monitoring and training, two rounds of DDT spray with good house coverage in all the endemic districts up to three years and proper treatment of cases are essential for total elimination of kala-azar in Bihar state. | | 11/18 |
| Mukhopadhyay 1996 [22] | Intervention study | IndiaWest BengalIntervention Hamlet 1 of Dariasudi and ChatraparaControl areas: Hamlet 2 of Dariasudi and Mulchatki | Standard mouth suction aspiration and torch light.No baselineFollow up after week 2 and week 3 post IRS, monthly measurementsDDT | Phlebotomus argentipes, P. papatasi | | Man hour densities of P. argentipesIn two intervention villagesBaseline4060Month 100Month 200Month 304Month 400Month 500Month 600Month 700Month 800Month 901Month 1011Month 1101Month 1211 | Man hour densities of P. argentipesIn two control villagesBaseline2616Month 100Month 2010Month 302Month 4024Month 5020Month 6416Month 7416Month 8713Month 9212Month 10010Month 11010Month 1216 | The density of P. argentipes was reduced to almost zero level in all biotopes up to Sep 1994 in interventions areas. No drastic reduction in vector densities was noted in the control areas. | 5.5/18 |
| Kaul 1994 [23] | Intervention study | IndiaInterventionShujabad 77 HHControlBhoipura 55 HH | Suction tubes from dark corners, ceilings, and crevicesNo baselineAt one month’s post IRSDDT | Phlebotomus argentipes, P. papatasi, Sergentomyia spp. | | Total sandfly collectionIntervention: collection of 14 sand flies (0% P. argentipes, 0% P. papatasi and 100% Sergentomyia spp.). | Total sandfly collectionControl: collection of 365 sand flies (91.7% P. argentipes). | | 5.5/18 |
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South America
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| Barata 2011 [14] | Intervention studyBefore and after, no control | Brazil, Montes Claros, Minais Gerais10 HH | Sand fly density/CDC light trapsBaseline prior to IRSMonthly for 12 months post IRS (and repeat IRS)Cypermethrin pyrothroid | Lutzomyia spp. | | | 85.8% of sand flies were captures outside the houses. The sand fly fauna comprised 10 different species. L. longipalpis, L. sallesi and L. intermedia constitute approximately 90% of the fauna captured. These species were sensitive to treatment with the insecticide.The two months prior to each spraying campaign (Sep-Oct 2005 and Mar-Apr 2006) were compared with the subsequent marking periods. The results showed that, two months after spraying, significant reduction occurred only outdoors. In the second spraying period, the differences between pre- and post-spraying were significant at two months and four months after spraying. Thus, the insecticide was less effective in the first cycle (two months) and more effective in the second cycle (four months).Clear predominance of L. longipalpis (79%) both inside and outside domiciles.The authors suggest that this species has been frequently found in the home environment, and is perhaps better adapted to the presence of man and domestic animals in endemic areas of visceral leishmaniasis.The number of captured insects dropped abruptly immediately after application of two cycles of insecticide, i.e., November 2005 and May 2006, suggesting temporary efficacy in reducing sand fly population density.The authors recommend three or four insecticide sprayings every year to achieve effective control of the sand fly population. | | 9.5/18 |
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Survey
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| Hasker et al., 2012, India [25] | Survey in existing cohort study | Study site: 50 villages (200 hamlets) in the Muzaffarpur District of Bihar, IndiaFollow-up: three annual surveys in Sep and Oct of 2008, 2009 and 2010. | In each survey, they visited all HHs and collected demographic information. Additionally, they asked whether the house had been covered by indoor residual insecticide spraying in the year preceding the survey. In each survey, they also collected information about VL in the household since the previous survey. For the first survey, they used a recall period of 1.5 years.At the time of the second survey in 2009, we also collected information about assets owned by each household, including domestic animals, and we recorded characteristics of the structure of the house and the surrounding vegetation. |
Phlebotomus argentipes
| Study population of 81.210 persons, divided over 13.416 HHs.During the study period, we registered 207 VL cases, equivalent to an average annual incidence of 72.8/100,000 population.VL was strongly associated with age; the odds of having VL was lowest for children <5 years of age and highest for children 5–14 years of age (odds ratio [OR] 2.5, 95% CI 1.5–4.0).Higher socioeconomic status was associated with reduced risk.IRS coverage was poor. In 2009 (the last year for which data were collected for the full year), only 12% of all households had reportedly been sprayed at least once. | Ownership of goats and presence of bamboo trees near the house are risk factors, but are not strong enough to warrant specific interventions.Poor housing is a stronger risk factor; thus, housing plans launched by the Indian government may positively affect control of VL. | The Musahars are known to be among the poorest of the poor, but even after we controlled for confounding by socioeconomic status, the association remained statistically significant. Some residual confounding cannot be ruled out, but other factors probably play a role. One such fac-tor could be long delays in seeking health care by Musahars, which was documented in another recent study | | 11/18 |
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Modelling studies
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| Gupta et al., 2020, India [24] | Modelling study | Study site: 33 out of 38 districts of Bihar, IndiaFollow-up: Jan 2012 to Dec 2017 | The authors compared the rate of incidence decrease in Vaishali to other districts in Bihar via an interrupted time series analysis with a spatiotemporal model,and estimated the number of cases averted by the pilot. | | Changes in Vaishali’s rank among Bihar’s endemic districts in terms of monthly case numbers showed a change pre-pilot (3rd highest out of 33 reporting districts) versus during the pilot (9th). The rate of decline in Vaishali’s cases was 26thhighest pre-pilot and 19th during the pilot. Model simulations suggest a median 1,071 cases were averted in Vaishali between March 2015-December 2017. | | Existing interventions when applied in combination and with special attention to quality could significantly reduce incidence.Strengthening control strategies may have precipitated a faster decline in VL case numbers in Vaishali and suggests this approach should be piloted in other highly endemic districts. | | 13/18 |
| Hasker et al., 2018, India [26] | Modelling study | Study site: the Muzaffarpur Health and Demographic Surveillance Site, a rural area of Muzaffarpur district, Bihar, IndiaData of 14.376 HHs with 91.908 personsFollow-up: from 2007 to 2015 | Establishment of optimal target areas for IRS an (re)active case finding.They plotted incident VL cases on a map within a 6-months period (Jan to June or July to Dec). Buffers of 0, 50, 75, 100, 200, 300, 400 and 500 m around these cases were drewed.Recording of total population and VL case numbers diagnosed over the period in each of these buffers and beyond. Incidence rate ratios were calculated using the population at more than 500m from any case as reference category. | PhlebotomusArgentipes, Leishmania donovani | The risk of being diagnosed with VL within the next 6-month period was on average 45.2, 15.4, 14.6, 13.4, 9.2, 7.1, 5.9, and 5.1 times higher for those living in the same household or within 50, 75, 100, 200, 300, 400, or 500 m, respectively.There was a very strong degree of spatial clustering of VL with incidence rate ratios ranging from 45.2 for those living in the same households to 14.6 for those living within 75 m of a case diagnosed, during the previous period. Up to 500 m the incidence rate ratio was still five times higher than that of the reference category. | | The findings indicate that it is important to screen also HHs within a perimeter of 50-75m from an index case.Further clustering occurs at immediate neighborhood and HH level.Covering a perimeter of 500m with IRS, seems to be a rational choice. Therefore, control interventions should also target the close surroundings of reported VL cases.Even effective IRS within a specific buffer zone would not be sufficient to prevent all cases in the next 6-month period for several reasons. First of all IRS would not prevent VL in a person already infected but still in the incubation phase, secondly because people may also be infected in outdoor locations. | | 13/18 |
| Stauch et al., 2014, India [27] | Modelling study | 1970 to 1986 | Usage of a previously published VL model that has been used to investigate emerging resistance against antimonial treatment.Development of a system of ordinary differential equations to model the transmission dynamics of L. donovani between sand flies and humans on the Indian subcontinent.Investigation of transmission thresholds dependent on measures reducing the sand fly density either by killing sand flies (e.g., indoor residual spraying and long-lasting insecticidal nets) or by destroying breeding sites (e.g., environmental management). |
Leishmania donovani
| The elimination of VL is possible if the sand fly density can be reduced by 67% through killing sand flies, or if the number of breeding sites can be reduced by more than 79% through environmental management. | Treated nets and to a minor extent IRS, predominantly kill sand flies that are about to transmit the infection, whereas breeding site control generally reduces the number of flies, regardless of whether they reach an age where transmission occurs. | Reduction of the vector’s life expectancy is more effective than a reduction of the vector’s breeding site capacity.LLIN are a highly effective intervention tool because treated nets can be considered as baited traps that kill predominantly sand flies that are about to transmit the infection.Three major reasons may limit the effectiveness of LLIN: (1) inappropriate usage of LLIN by man, (2) changed and/or alternative feeding or resting behaviour of the vectors and (3) vector adaptation or habituation against insecticidal substances.Destroying breeding sites of P. argentipes is a promising tool for intervention and should also prevent re-emergence of infection after local extinction.Resistance against DDT continues to spread and cross-resistance may emerge (e.g., in anophelines, the so-called knockdown resistance, a DDT/pyrethroid cross-resistance, is commonly found. Thus, IRS may only be a transient measure to effectively reduce sand fly density.Integrated vector management, which combines different vector control measures, could be an effective approach to overcome the limitations of independently applied vector control strategies. | | 13/18 |