Mathematical modelling and the control of lymphatic filariasis

Michael, Edwin; Malecela‐Lazaro, Mwele N.; Simonsen, Paul E.; Pedersen, Erik Helmer; Barker, Guy C.; Kumar, Anil; Kazura, James W.

doi:10.1016/s1473-3099(04)00973-9

Cited by 156 publications

(201 citation statements)

References 43 publications

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“…mosquitodriven LF transmission systems, the combination of MDA and LLINs is likely to be more effective than the MDA alone. 16,27 However, the results reported here demonstrate that LLINs alone can halt LF transmission. The clear implication is that the LF elimination strategy could rely on LLINs where L. loa prevents MDA.…”

Section: Discussionmentioning

confidence: 52%

“…The current challenge is to maintain sufficient LLIN ownership and use for a period of time necessary for all or most adult W. bancrofti worms to die or lose their ability to produce microfilariae, perhaps 6 years (the estimated reproductive life of the worms). 10,26,27 We did not offer treatment to mf-positive persons. One reason was because of the potential for serious adverse events from ivermectin or diethylcarbamazine in an area with concomitant L. loa infection, where mass treatment cannot be offered under current MDA guidelines.…”

Section: Discussionmentioning

confidence: 99%

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Community-Wide Distribution of Long-Lasting Insecticidal Nets Can Halt Transmission of Lymphatic Filariasis in Southeastern Nigeria

Richards

Emukah²,

Graves³

et al. 2013

The American Society of Tropical Medicine and Hygiene

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Abstract. Lymphatic filariasis (LF) in rural southeastern Nigeria is transmitted mainly by Anopheles spp. mosquitoes. Potential coinfection with Loa loa in this area has prevented use of ivermectin in the mass drug administration (MDA) strategy for LF elimination because of potential severe adverse L. loa-related reactions. This study determined if longlasting insecticidal net (LLIN) distribution programs for malaria would interrupt LF transmission in such areas, without need for MDA. Monthly entomologic monitoring was conducted in sentinel villages before and after LLIN distribution to all households and all age groups (full coverage) in two districts, and to pregnant women and children less than five years of age in the other two districts. No change in human LF microfilaremia prevalence was observed, but mosquito studies showed a statistically significant decrease in LF infection and infectivity with full-coverage LLIN distribution. We conclude that LF transmission can be halted in southeastern Nigeria by full-coverage LLIN distribution, without MDA.

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Section: Discussionmentioning

confidence: 52%

Section: Discussionmentioning

confidence: 99%

Community-Wide Distribution of Long-Lasting Insecticidal Nets Can Halt Transmission of Lymphatic Filariasis in Southeastern Nigeria

Richards

Emukah²,

Graves³

et al. 2013

The American Society of Tropical Medicine and Hygiene

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“…The effectiveness of MDA in reducing the prevalence and density of microfilaria in the blood is directly related to the proportion of the population that ingests the medicines every year. 12 Hence once yearly MDA is an economical way towards elimination of LF. But mere distribution of anti-filarial drugs is not the end; importance should be given to enhancing the compliance and effective coverage.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of coverage and compliance of elimination of lymphatic filariasis by mass drug administration campaign in Gulbarga and Yadgiri districts of Karnataka state

2015

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“…The sensitivity analysis considered the alternative assumption that variation occurs systematically between individuals and that there is no variation within individuals. Michael et al 2004). This underlines the importance of assessing their actual values for evaluation of treatment programmes.…”

Section: Model Behaviourmentioning

confidence: 99%

LYMFASIM, a simulation model for predicting the impact of lymphatic filariasis control: quantification for African villages

et al. 2008

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LYMFASIM is a simulation model for lymphatic filariasis transmission and control. We quantified its parameters to simulate Wuchereria bancrofti transmission by Anopheles mosquitoes in African villages, using a wide variety of reported data. The developed model captures the general epidemiological patterns, but also the differences between communities. It was calibrated to represent the relationship between mosquito biting rate and the prevalence of microfilariae (mf) in the human population, the age-pattern in mf prevalence, and the relation between mf prevalence and geometric mean mf intensity. Explorative simulations suggest that the impact of mass treatment depends strongly on the mosquito biting rate and on the assumed coverage, compliance and efficacy. Our sensitivity analysis showed that some biological parameters strongly influence the predicted equilibrium pre-treatment mf prevalence (e.g. the lifespan of adult worms and mf). Other parameters primarily affect the post-treatment trends (e.g. severity of density dependence in the mosquito uptake of infection from the human blood, between-person variability in exposure to mosquito bites). The longitudinal data, which are being collected for evaluation of ongoing elimination programmes, can help to further validate the model. The model can help to assess when ongoing elimination activities in African populations can be stopped and to design surveillance schemes. It can be a valuable tool for decision making in the Global Programme to Eliminate Lymphatic Filariasis.

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Mathematical modelling and the control of lymphatic filariasis

Cited by 156 publications

References 43 publications

Community-Wide Distribution of Long-Lasting Insecticidal Nets Can Halt Transmission of Lymphatic Filariasis in Southeastern Nigeria

Community-Wide Distribution of Long-Lasting Insecticidal Nets Can Halt Transmission of Lymphatic Filariasis in Southeastern Nigeria

Evaluation of coverage and compliance of elimination of lymphatic filariasis by mass drug administration campaign in Gulbarga and Yadgiri districts of Karnataka state

LYMFASIM, a simulation model for predicting the impact of lymphatic filariasis control: quantification for African villages

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