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. 2014 Apr 24;8(4):e2810.
doi: 10.1371/journal.pntd.0002810. eCollection 2014 Apr.

Model-based investigations of different vector-related intervention strategies to eliminate visceral leishmaniasis on the Indian subcontinent

Affiliations

Model-based investigations of different vector-related intervention strategies to eliminate visceral leishmaniasis on the Indian subcontinent

Anette Stauch et al. PLoS Negl Trop Dis. .

Abstract

The elimination of infectious diseases requires reducing transmission below a certain threshold. The Visceral Leishmaniasis (VL) Elimination Initiative in Southeast Asia aims to reduce the annual VL incidence rate below 1 case per 10,000 inhabitants in endemic areas by 2015 via a combination of case management and vector control. Using a previously developed VL transmission model, we investigated 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). Model simulations suggest that 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 measures of environmental management. These results were compared to data from two recent cluster randomised controlled trials conducted in India, Nepal and Bangladesh showing a 72% reduction in sand fly density after indoor residual spraying, a 44% and 25% reduction through the use of long-lasting insecticidal nets and a 42% reduction after environmental management. Based on model predictions, we identified the parameters within the transmission cycle of VL that predominantly determine the prospects of intervention success. We suggest further research to refine model-based predictions into the elimination of VL.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Observed and simulated re-emergence of infection dynamics after local extinction.
Observed number of VL cases (grey bars) reported in India from 1970–1986 (source: Ministry of Health and Family Welfare, Government of India), together with the predicted number of cases (black curve) derived from a previously developed mathematical model . As a side effect of malaria vector control, VL incidence dropped to very low levels until 1976 which has been mimicked in this simulation by reducing the sand fly population by 85% between 1967 and 1976. The residual infection predicted by the model for 1976 has been used in this simulation as seed for the observed re-introduction of VL in 1977 when the density of sand flies was assumed to return to pre-control levels because of cessation of malaria vector control measures.
Figure 2
Figure 2. Comparison of calculated thresholds and observed reductions in sand fly density.
Re estimates that depend on a reduction of sand fly density by reducing the sand flies' life expectancy (A) or their breeding site capacity (B) are represented by minimum and maximum (dotted lines), 2.5% and 97.5% quantiles (dashed lines), quartiles (thin lines) and median (bold line). Baseline sand fly density reflects the situation in the KALANET study without control measures. Observed effects of long lasting insecticidal nets (circles 1 and 2), indoor residual spraying (circle 3) and environmental management (circle 4) on the sand fly density, as reported in two recent cluster randomised controlled trials , , are displayed as grey circles.
Figure 3
Figure 3. Combinations of vector control measures necessary for elimination of VL.
Simulation results of combined reduction of the sand flies' life expectancy and their breeding site capacity. The dashed area above the curve represents combinations leading to Re<1 and thus allow for elimination of VL. The area below the curve represents combinations leading to Re>1 and thus imply persistence. The two circles on the axes represent the thresholds when only one intervention will be performed (cf. Figure 2: 67% reduction of fly density by reducing their life expectancy, 79% reduction in breeding site capacity). Killing of sand flies is more effective than reducing breeding site capacity because it attacks adult flies of which some are already infected.

References

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