Transmission models and management of lymphatic filariasis elimination

Advances in Experimental Medicine and Biology

Volumn 673, Issue , 2010, Pages 157-171

  Michael, Edwin ^a   Gambhir, Manoj ^b  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALBENDAZOLE; DIETHYLCARBAMAZINE; IVERMECTIN;

AGE DISTRIBUTION; ARTICLE; BITE; COMBINATION CHEMOTHERAPY; DISEASE SURVEILLANCE; DRUG CHOICE; DRUG EFFICACY; ERADICATION THERAPY; GEOGRAPHIC DISTRIBUTION; HEALTH PROGRAM; HOST PARASITE INTERACTION; HUMAN; INFECTION RATE; LYMPHATIC FILARIASIS; MATHEMATICAL MODEL; MEDICAL DECISION MAKING; NONHUMAN; PARASITE CONTROL; PARASITE TRANSMISSION; PARASITE VECTOR; PREVALENCE; PRIORITY JOURNAL; PROCESS OPTIMIZATION; STRATEGIC PLANNING; VECTOR CONTROL; ANIMAL; BIOLOGICAL MODEL; DISEASE CARRIER; DISEASE TRANSMISSION; INFECTION CONTROL; METHODOLOGY; MOSQUITO; PARASITOLOGY; REVIEW;

ANIMALS; COMMUNICABLE DISEASE CONTROL; CULICIDAE; ELEPHANTIASIS, FILARIAL; HOST-PARASITE INTERACTIONS; HUMANS; INSECT VECTORS; MODELS, BIOLOGICAL;

EID: 77955910748     PISSN: 00652598     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4419-6064-1_11     Document Type: Article

References (43)

1. Michael E, Malecela-Lazaro MN, Simonsen PE et al. Mathematical modelling and the control of lymphatic filariasis. Lancet Infect Dis 2004; 4:223-34. (Pubitemid 38407305)
2. Liang S, Seto EY, Remais JV et al. Environmental effects on parasitic disease transmission exemplified by schistosomiasis in western China. PNAS 2007; 104:7110-5. (Pubitemid 47186017)
3. Spear RC, Hubbard A, Liang S et al. Disease transmission models for public health decision making: Toward an approach for designing intervention strategies for Schistosomiasis japonica. Environ Health Perspect 2002; 110:907-15.
4. Michael E. The epidemiology of filariasis control. In: Klei TR, Rajan TV, eds. The Filaria. Boston: Kluwer Academic Publishers, 2002;60-74.
5. Michael E, Malecela-Lazaro MN, Kabali C et al. Mathematical models and lymphatic filariasis control: Endpoints and optimal interventions. Trends Parasitol 2006; 22:226-33. (Pubitemid 44294632)
6. Michael E, Malecela-Lazaro MN, Kazura JW. Epidemiological modelling for monitoring and evaluation of lymphatic filariasis control. Adv Parasitol 2007; 65:191-237. (Pubitemid 350183946)
7. Chan MS, Srividya A, Norman RA et al. Epifil: A dynamic model of infection and disease in lymphatic filariasis. Am J Trop Med Hyg 1998; 59:606-14. (Pubitemid 28480720)
8. Gambhir M, Michael E. Complex ecological dynamics and eradicability of the vector borne macroparasitic disease, lymphatic filariasis. PLoS One 2008; 3(8):e2874.
9. Norman RA, Chan MS, Srividya A et al. EPIFIL: The development of an age-structured model for describing the transmission dynamics and control of lymphatic filariasis. Epidemiol Infect 2000; 124:529-41. (Pubitemid 30623871)
10. Plaisier AP, Subramanian S, Das PK et al. The LYMFASIM simulation program for modeling lymphatic filariasis and its control. Methods Inf Med 1998; 37:97-108. (Pubitemid 28154764)
11. Michael E, Malecela MN, Zervos M et al. Global eradication of lymphatic filariasis: The value of chronic disease control in parasite elimination programmes. PLoS One 2008; 3(8):e2936.
12. Subramanian S, Stolk WA, Ramaiah KD et al. The dynamics of Wuchereria bancrofti infection: A model-based analysis of longitudinal data from Pondicherry, India. Parasitology 2004; 128:467-82. (Pubitemid 38680273)
13. Stolk WA, Swaminathan S, van Oortmarssen GJ et al. Prospects for elimination of bancroftian filariasis by mass drug treatment in Pondicherry, India: A simulation study. J Infect Dis 2003; 188:1371-81. (Pubitemid 37433710)
14. Kendall WL. Using models to facilitate complex decisions. In: Shenk TM, Franklin AB, eds. Modeling in Natural Resource Management. Washington: Island Press, 2001;147-70.
15. Michael E, Malecela-Lazaro MN, Maegga BTA et al. Mathematical models and lymphatic filariasis control: Monitoring and evaluating interventions. Trends Parasitol 2006; 22:529-35. (Pubitemid 44472617)
16. Anderson R, May R. Infectious Diseases of Humans: Dynamics and Control. Oxford: Oxford University Press, 1992.
17. Pugliese A, Tonetto L. Thresholds for macroparasite infections. Math Biol 2004; 49:83-110. (Pubitemid 40876399)
18. Duerr HP, Dietz K, Eichner M. Determinants of the eradicability of filarial infections: A conceptual approach. Trends Parasitol 2005; 21:88-96. (Pubitemid 40138880)
19. Codeco CT, Luz PM, Coelho F et al. Vaccinating in disease-free regions: A vaccine model with application to yellow fever. J Roy Soc Interface 2007; 4:1119-25. (Pubitemid 350303870)
20. Poole D, Raftery AE. Inference for deterministic simulation models: The Bayesian melding approach.J Amer Stat Assoc 2000; 95:1244-55.
21. Radtke PJ, Burk TE, Bolstad PV. Bayesian melding of a forest ecosystem model with correlated inputs.Forest Sci 2002; 48:701-11. (Pubitemid 35307433)
22. Oreskes N. The role of quantitative models in science. In: Canham CD, Cole JJ, Luauenroth WK, eds.Models in Ecosystem Science Princeton: Princeton University Press, 2003;13-31.
23. Pedersen EM, Stolk WA, Laney SJ et al. The role of monitoring mosquito infection in the Global Programme to Eliminate Lymphatic Filariasis. Trends Parasitol 2009; 25:319-27.
24. Williams SA, Laney SJ, Bierwert LA et al. Development and standardization of a rapid, PCR-based method for the detection of Wuchereria bancrofti in mosquitoes, for xenomonitoring the human prevalence of bancroftian filariasis. Ann Trop Med Parasitol 2002; 96:S41-6.
25. Fischer P, Wibowo H, Pischke S et al. PCR-based detection and identification of the filarial parasite Brugia timori from Alor Island, Indonesia. Ann Trop Med Parasitol 2002; 96:809-21. (Pubitemid 36152850)
26. Rao RU, Atkinson LJ, Ramzy RM et al. A real-time PCR-based assay for detection of Wuchereria bancrofti DNA in blood and mosquitoes. Am J Trop Med Hyg 2006; 74:826-32. (Pubitemid 46774404)
27. Medley GF. Predicting the unpredictable (Perspective). Science 2001; 294:1663-64.
28. Green LE, Medley GF. Mathematical modelling of the foot and mouth disease epidemic of 2001: Strenghts and weaknesses. Res Vet Sci 2002; 73:201-05. (Pubitemid 36004234)
29. Taylor N. Review of the use of models in informing disease control policy development and adjustment.A report for DEFRA. 2003; Available from: Http://www.defra.gov/uk/science/publications/2003/ useofmodelsindiseasecontrolpolicy.pdf.
30. Pfeiffer D. Science, epidemiological models and decision making. Vet J 2004; 167:123-24. (Pubitemid 38208668)
31. Kitching RP. Predictive models and FMD: The emporer's ew clothes? Vet J 2004; 167:127-28. (Pubitemid 38208670)
32. Clark CW. Bioeconomic Modelling and Fisheries Management. London: Wiley-Interscience, 1985.
33. Anderson RM, May RM. Helminth infections of humans: Mathematical models, population dynamics and control. Adv Parasitol 1985; 24:1-101.
34. Woolhouse ME. On the application of mathematical models of schistosome transmission dynamics. II.Control. Acta Trop 1992; 50:189-204.
35. Winnen M, Plaisier AP, Alley ES et al. Can ivermectin mass treatments eliminate onchocerciasis in Africa? Bull World Health Organ 2002; 80:384-91.
36. Plaisier AP, Stolk WA, van Oortmarssen GJ et al. Effectiveness of annual ivermectin treatment for Wuchereria bancrofti infection. Parasitol Today 2000; 16:298-302. (Pubitemid 30447395)
37. Maxwell CA, Mohammed K, Kisumku U et al. Can vector control play a useful supplementary role against bancroftian filariasis? Bull World Health Organ 1999; 77:138-43. (Pubitemid 29282823)
38. Curtis CF, Malecela-Lazaro M, Reuben R et al. Use of floating layers of polystyrene beads to control populations of the filaria vector Culex quinquefasciatus. Ann Trop Med Parasitol 2002; 96:S97-104.
39. Burkot T, Ichimori K. The PacELF programme: Will mass drug administration be enough? Trends Parasitol 2002; 18:109-15. (Pubitemid 34164254)
40. Norton JP, Reckhow KH. Modelling and monitoring environmental outcomes in adaptive management.In: Jakeman AJ, Voinov AA, Rizzoli AE, Chen SH, eds. Environmental Modelling: Software and Decision Support. Amsterdam: Elsevier, 2008;181-204.
41. Scheffer M. Critical Transitions in Nature and Society. Princeton: Princeton University Press, 2009.
42. Bockarie MJ, Pedersen EM, White GB et al. Role of vector control in the global program to eliminate lymphatic filariasis. Ann Rev Entomol 2009; 54:469-87.
43. Maddox DE, Polani K, Unnasch R. Evaluating management success: Using ecological models to ask the right monitoring questions. In: Johnson NC, Malk AJ, Szaro RC, Sexton WT, eds. Ecological Stewardship A Common Reference for Ecosystem Management. Oxford: Elsevier Science Ltd, 1999;563-84.