메뉴 건너뛰기




Volumn 15, Issue 1, 2017, Pages

Continental-scale, data-driven predictive assessment of eliminating the vector-borne disease, lymphatic filariasis, in sub-Saharan Africa by 2020

Author keywords

Data discovery; Data driven parasite transmission modeling; Hierarchical modeling; Lymphatic filariasis; Mass drug administration; Neglected tropical diseases; Parasite elimination programs; Parasite transmission heterogeneity; Scientific computational discovery of knowledge; Spatial scale; Sub Saharan Africa; Vector control; Vector borne diseases

Indexed keywords

ALBENDAZOLE; DIETHYLCARBAMAZINE; IVERMECTIN;

EID: 85029830486     PISSN: None     EISSN: 17417015     Source Type: Journal    
DOI: 10.1186/s12916-017-0933-2     Document Type: Article
Times cited : (32)

References (72)
  • 4
    • 84945202432 scopus 로고    scopus 로고
    • What is needed to eradicate lymphatic filariasis? A model-based assessment on the impact of scaling up mass drug administration programs
    • Kastner RJ, Stone CM, Steinmann P, Tanner M, Tediosi F. What is needed to eradicate lymphatic filariasis? A model-based assessment on the impact of scaling up mass drug administration programs. PLoS Neglect Trop D. 2015;9(10):e0004147.
    • (2015) PLoS Neglect Trop D , vol.9 , Issue.10
    • Kastner, R.J.1    Stone, C.M.2    Steinmann, P.3    Tanner, M.4    Tediosi, F.5
  • 5
    • 84955621621 scopus 로고    scopus 로고
    • Control, elimination, and eradication of river blindness: scenarios, timelines, and ivermectin treatment needs in Africa
    • Kim YE, Remme JHF, Steinmann P, Stolk WA, Roungou JB, Tediosi F. Control, elimination, and eradication of river blindness: scenarios, timelines, and ivermectin treatment needs in Africa. PLoS Neglect Trop D. 2015;9(5):e0003664.
    • (2015) PLoS Neglect Trop D , vol.9 , Issue.5
    • Kim, Y.E.1    Remme, J.H.F.2    Steinmann, P.3    Stolk, W.A.4    Roungou, J.B.5    Tediosi, F.6
  • 7
    • 84880174978 scopus 로고    scopus 로고
    • Computational epidemiology
    • Marathe M, Vullikanti AKS. Computational epidemiology. Commun ACM. 2013;56(7):88-96.
    • (2013) Commun ACM , vol.56 , Issue.7 , pp. 88-96
    • Marathe, M.1    Vullikanti, A.K.S.2
  • 8
    • 84898473387 scopus 로고    scopus 로고
    • Recent advances in computational epidemiology
    • Marathe MV, Ramakrishnan N. Recent advances in computational epidemiology. IEEE Intell Syst. 2013;28(4):96-101.
    • (2013) IEEE Intell Syst , vol.28 , Issue.4 , pp. 96-101
    • Marathe, M.V.1    Ramakrishnan, N.2
  • 9
    • 85015571608 scopus 로고    scopus 로고
    • ZoonosisMAGS Project (Part 2): complementarity of a rapid-prototyping tool and of a full-scale geosimulator for population-based geosimulation of zoonoses
    • Chen D, Moulin B, Wu J, editors. Hoboken: Wiley
    • Moulin B, Navarro D, Marcotte D, Sedrati S, Bouden M. ZoonosisMAGS Project (Part 2): complementarity of a rapid-prototyping tool and of a full-scale geosimulator for population-based geosimulation of zoonoses. In: Chen D, Moulin B, Wu J, editors. Analyzing and modelling spatial and temporal dynamics of infectious diseases. Hoboken: Wiley; 2015. p. 341-70.
    • (2015) Analyzing and modelling spatial and temporal dynamics of infectious diseases , pp. 341-370
    • Moulin, B.1    Navarro, D.2    Marcotte, D.3    Sedrati, S.4    Bouden, M.5
  • 11
    • 84857147980 scopus 로고    scopus 로고
    • A distributed platform for Global-Scale Agent-Based Models of disease transmission
    • Parker J, Epstein JM. A distributed platform for Global-Scale Agent-Based Models of disease transmission. ACM T Model Comput S. 2011;22(1):2.
    • (2011) ACM T Model Comput S , vol.22 , Issue.1 , pp. 2
    • Parker, J.1    Epstein, J.M.2
  • 13
    • 33846366974 scopus 로고    scopus 로고
    • Towards integrated environmental models of everywhere: uncertainty, data and modelling as a learning process
    • Beven K. Towards integrated environmental models of everywhere: uncertainty, data and modelling as a learning process. Hydrol Earth Syst Sc. 2007;11(1):460-7.
    • (2007) Hydrol Earth Syst Sc , vol.11 , Issue.1 , pp. 460-467
    • Beven, K.1
  • 14
    • 0033762270 scopus 로고    scopus 로고
    • Uniqueness of place and process representations in hydrological modelling
    • Beven KJ. Uniqueness of place and process representations in hydrological modelling. Hydrol Earth Syst Sc. 2000;4(2):203-13.
    • (2000) Hydrol Earth Syst Sc , vol.4 , Issue.2 , pp. 203-213
    • Beven, K.J.1
  • 16
    • 33644861515 scopus 로고    scopus 로고
    • Introduction: spatially explicit landscape simulation models
    • Constanza R, Voinov A, editors. New York: Springer-Verlag
    • Constanza R, Voinov A. Introduction: spatially explicit landscape simulation models. In: Constanza R, Voinov A, editors. Landscape simulation modeling: a spatially explicit, dynamic approach. New York: Springer-Verlag; 2004. p. 3-20.
    • (2004) Landscape simulation modeling: a spatially explicit, dynamic approach , pp. 3-20
    • Constanza, R.1    Voinov, A.2
  • 17
    • 78650542936 scopus 로고    scopus 로고
    • Space and time in ecology: noise or fundamental driver?
    • Cushman SA, Huettmann F, editors. New York: Springer
    • Cushman SA. Space and time in ecology: noise or fundamental driver? In: Cushman SA, Huettmann F, editors. Spatial complexity, informatics, and wildlife conservation. New York: Springer; 2010. p. 19-41.
    • (2010) Spatial complexity, informatics, and wildlife conservation , pp. 19-41
    • Cushman, S.A.1
  • 18
    • 78650566837 scopus 로고    scopus 로고
    • The problem of ecological scaling in spatially complex, nonequilibrium ecological systems
    • Cushman SA, Huettmann F, editors. New York: Springer
    • Cushman SA, Littell J, McGarigal K. The problem of ecological scaling in spatially complex, nonequilibrium ecological systems. In: Cushman SA, Huettmann F, editors. Spatial complexity, informatics, and wildlife conservation. New York: Springer; 2010. p. 43-63.
    • (2010) Spatial complexity, informatics, and wildlife conservation , pp. 43-63
    • Cushman, S.A.1    Littell, J.2    McGarigal, K.3
  • 20
    • 77951174893 scopus 로고    scopus 로고
    • Geographic and ecologic heterogeneity in elimination thresholds for the major vector-borne helminthic disease, lymphatic filariasis
    • Gambhir M, Bockarie M, Tisch D, Kazura J, Remais J, Spear R, Michael E. Geographic and ecologic heterogeneity in elimination thresholds for the major vector-borne helminthic disease, lymphatic filariasis. BMC Biol. 2010;8:22.
    • (2010) BMC Biol , vol.8 , pp. 22
    • Gambhir, M.1    Bockarie, M.2    Tisch, D.3    Kazura, J.4    Remais, J.5    Spear, R.6    Michael, E.7
  • 21
    • 84956776884 scopus 로고    scopus 로고
    • Heterogeneous dynamics, robustness/fragility trade-offs, and the eradication of the macroparasitic disease, lymphatic filariasis
    • Michael E, Singh BK. Heterogeneous dynamics, robustness/fragility trade-offs, and the eradication of the macroparasitic disease, lymphatic filariasis. BMC Med. 2016;14(1):1.
    • (2016) BMC Med , vol.14 , Issue.1 , pp. 1
    • Michael, E.1    Singh, B.K.2
  • 22
    • 84945185361 scopus 로고    scopus 로고
    • Bayesian calibration of simulation models for supporting management of the elimination of the macroparasitic disease, lymphatic filariasis
    • Singh BK, Michael E. Bayesian calibration of simulation models for supporting management of the elimination of the macroparasitic disease, lymphatic filariasis. Parasit Vectors. 2015;8(1):1-26.
    • (2015) Parasit Vectors , vol.8 , Issue.1 , pp. 1-26
    • Singh, B.K.1    Michael, E.2
  • 23
    • 84924514145 scopus 로고    scopus 로고
    • Digital methods in epidemiology can transform disease control
    • Eckhoff PA, Tatem AJ. Digital methods in epidemiology can transform disease control. Intl Hlth. 2015;7(2):77-8.
    • (2015) Intl Hlth , vol.7 , Issue.2 , pp. 77-78
    • Eckhoff, P.A.1    Tatem, A.J.2
  • 24
    • 84876918884 scopus 로고    scopus 로고
    • Big data opportunities for global infectious disease surveillance
    • Hay SI, George DB, Moyes CL, Brownstein JS. Big data opportunities for global infectious disease surveillance. PLoS Med. 2013;10(4):e1001413.
    • (2013) PLoS Med , vol.10 , Issue.4
    • Hay, S.I.1    George, D.B.2    Moyes, C.L.3    Brownstein, J.S.4
  • 25
    • 36048931013 scopus 로고    scopus 로고
    • Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a review
    • Kalluri S, Gilruth P, Rogers D, Szczur M. Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: a review. PLoS Pathog. 2007;3(10):1361-71.
    • (2007) PLoS Pathog , vol.3 , Issue.10 , pp. 1361-1371
    • Kalluri, S.1    Gilruth, P.2    Rogers, D.3    Szczur, M.4
  • 27
    • 84861930630 scopus 로고    scopus 로고
    • HydroDesktop: Web services-based software for hydrologic data discovery, download, visualization, and analysis
    • Ames DP, Horsburgh JS, Cao Y, Kadlec J, Whiteaker T, Valentine D. HydroDesktop: Web services-based software for hydrologic data discovery, download, visualization, and analysis. Environ Model Softw. 2012;37:146-56.
    • (2012) Environ Model Softw , vol.37 , pp. 146-156
    • Ames, D.P.1    Horsburgh, J.S.2    Cao, Y.3    Kadlec, J.4    Whiteaker, T.5    Valentine, D.6
  • 28
    • 84862686057 scopus 로고    scopus 로고
    • Modelling everything everywhere: a new approach to decision-making for water management under uncertainty
    • Beven KJ, Alcock RE. Modelling everything everywhere: a new approach to decision-making for water management under uncertainty. Freshwater Biol. 2012;57:124-32.
    • (2012) Freshwater Biol , vol.57 , pp. 124-132
    • Beven, K.J.1    Alcock, R.E.2
  • 32
    • 36048972344 scopus 로고    scopus 로고
    • Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo
    • Dowd M. Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo. J Mar Syst. 2007;68(3-4):439-56.
    • (2007) J Mar Syst , vol.68 , Issue.3-4 , pp. 439-456
    • Dowd, M.1
  • 33
    • 83555177261 scopus 로고    scopus 로고
    • Improving crop model inference through Bayesian melding with spatially varying parameters
    • Finley AO, Banerjee S, Basso B. Improving crop model inference through Bayesian melding with spatially varying parameters. J Agr Biol Envir St. 2011;16(4):453-74.
    • (2011) J Agr Biol Envir St , vol.16 , Issue.4 , pp. 453-474
    • Finley, A.O.1    Banerjee, S.2    Basso, B.3
  • 34
    • 79960373930 scopus 로고    scopus 로고
    • Data-model fusion to better understand emerging pathogens and improve infectious disease forecasting
    • LaDeau SL, Glass GE, Hobbs NT, Latimer A, Ostfeld RS. Data-model fusion to better understand emerging pathogens and improve infectious disease forecasting. Ecol Appl. 2011;21(5):1443-60.
    • (2011) Ecol Appl , vol.21 , Issue.5 , pp. 1443-1460
    • LaDeau, S.L.1    Glass, G.E.2    Hobbs, N.T.3    Latimer, A.4    Ostfeld, R.S.5
  • 37
    • 33644666544 scopus 로고    scopus 로고
    • Integrating knowledge-driven and data-driven approaches to modeling
    • Todorovski L, Dzeroski S. Integrating knowledge-driven and data-driven approaches to modeling. Ecol Model. 2006;194(1-3):3-13.
    • (2006) Ecol Model , vol.194 , Issue.1-3 , pp. 3-13
    • Todorovski, L.1    Dzeroski, S.2
  • 38
    • 84891892050 scopus 로고    scopus 로고
    • Reverse engineering and identification in systems biology: strategies, perspectives and challenges
    • Villaverde AF, Banga JR. Reverse engineering and identification in systems biology: strategies, perspectives and challenges. J R Soc Interface. 2014;11(91):20130505.
    • (2014) J R Soc Interface , vol.11 , Issue.91 , pp. 20130505
    • Villaverde, A.F.1    Banga, J.R.2
  • 39
    • 0038243004 scopus 로고    scopus 로고
    • Bayesian uncertainty assessment in multicompartment deterministic simulation models for environmental risk assessment
    • Bates SC, Cullen A, Raftery AE. Bayesian uncertainty assessment in multicompartment deterministic simulation models for environmental risk assessment. Environmetrics. 2003;14(4):355-71.
    • (2003) Environmetrics , vol.14 , Issue.4 , pp. 355-371
    • Bates, S.C.1    Cullen, A.2    Raftery, A.E.3
  • 40
    • 0442293846 scopus 로고    scopus 로고
    • Inference for deterministic simulation models: the Bayesian melding approach
    • Poole D, Raftery AE. Inference for deterministic simulation models: the Bayesian melding approach. J Am Stat Assoc. 2000;95(452):1244-55.
    • (2000) J Am Stat Assoc , vol.95 , Issue.452 , pp. 1244-1255
    • Poole, D.1    Raftery, A.E.2
  • 41
    • 0036738659 scopus 로고    scopus 로고
    • Disease transmission models for public health decision making: toward an approach for designing intervention strategies for Schistosomiasis japonica
    • Spear RC, Hubbard A, Liang S, Seto E. Disease transmission models for public health decision making: toward an approach for designing intervention strategies for Schistosomiasis japonica. Environ Health Persp. 2002;110(9):907-15.
    • (2002) Environ Health Persp , vol.110 , Issue.9 , pp. 907-915
    • Spear, R.C.1    Hubbard, A.2    Liang, S.3    Seto, E.4
  • 42
    • 84929169606 scopus 로고    scopus 로고
    • Learning ensembles of population dynamics models and their application to modelling aquatic ecosystems
    • Simidjievski N, Todorovski L, Dzeroski S. Learning ensembles of population dynamics models and their application to modelling aquatic ecosystems. Ecol Model. 2015;306:305-17.
    • (2015) Ecol Model , vol.306 , pp. 305-317
    • Simidjievski, N.1    Todorovski, L.2    Dzeroski, S.3
  • 43
    • 84964318219 scopus 로고    scopus 로고
    • Modeling dynamic systems with efficient ensembles of process-based models
    • Simidjievski N, Todorovski L, Dzeroski S. Modeling dynamic systems with efficient ensembles of process-based models. PLoS One. 2016;11(4):e0153507.
    • (2016) PLoS One , vol.11 , Issue.4
    • Simidjievski, N.1    Todorovski, L.2    Dzeroski, S.3
  • 44
    • 84881534784 scopus 로고    scopus 로고
    • Mapping, Bayesian geostatistical analysis and spatial prediction of lymphatic filariasis prevalence in Africa
    • Slater H, Michael E. Mapping, Bayesian geostatistical analysis and spatial prediction of lymphatic filariasis prevalence in Africa. PLoS One. 2013;8(8):e71574.
    • (2013) PLoS One , vol.8 , Issue.8
    • Slater, H.1    Michael, E.2
  • 45
    • 0029962945 scopus 로고    scopus 로고
    • Re-assessing the global prevalence and distribution of lymphatic filariasis
    • Michael E, Bundy DAP, Grenfell BT. Re-assessing the global prevalence and distribution of lymphatic filariasis. Parasitology. 1996;112(04):409-28.
    • (1996) Parasitology , vol.112 , Issue.4 , pp. 409-428
    • Michael, E.1    Bundy, D.A.P.2    Grenfell, B.T.3
  • 47
    • 1342322716 scopus 로고    scopus 로고
    • Research for control: the onchocerciasis experience
    • Remme JHF. Research for control: the onchocerciasis experience. Trop Med Inter Health. 2004;9(2):243-54.
    • (2004) Trop Med Inter Health , vol.9 , Issue.2 , pp. 243-254
    • Remme, J.H.F.1
  • 48
    • 84879528892 scopus 로고    scopus 로고
    • Impact of three rounds of mass drug administration on lymphatic filariasis in areas previously treated for onchocerciasis in Sierra Leone
    • Koroma JB, Sesay S, Sonnie M, Hodges MH, Sahr F, Zhang Y, Bockarie MJ. Impact of three rounds of mass drug administration on lymphatic filariasis in areas previously treated for onchocerciasis in Sierra Leone. PLoS Negl Trop D. 2013;7(6):e2273.
    • (2013) PLoS Negl Trop D , vol.7 , Issue.6
    • Koroma, J.B.1    Sesay, S.2    Sonnie, M.3    Hodges, M.H.4    Sahr, F.5    Zhang, Y.6    Bockarie, M.J.7
  • 50
    • 84879482488 scopus 로고    scopus 로고
    • Sequential modelling of the effects of mass drug treatments on anopheline-mediated lymphatic filariasis infection in Papua New Guinea
    • Singh BK, Bockarie MJ, Gambhir M, Siba PM, Tisch DJ, Kazura J, et al. Sequential modelling of the effects of mass drug treatments on anopheline-mediated lymphatic filariasis infection in Papua New Guinea. PLoS One. 2013;8(6):e67004.
    • (2013) PLoS One , vol.8 , Issue.6
    • Singh, B.K.1    Bockarie, M.J.2    Gambhir, M.3    Siba, P.M.4    Tisch, D.J.5    Kazura, J.6
  • 53
    • 51449096852 scopus 로고    scopus 로고
    • Complex ecological dynamics and eradicability of the vector borne macroparasitic disease, lymphatic filariasis
    • Gambhir M, Michael E. Complex ecological dynamics and eradicability of the vector borne macroparasitic disease, lymphatic filariasis. PLoS One. 2008;3(8):e2874.
    • (2008) PLoS One , vol.3 , Issue.8
    • Gambhir, M.1    Michael, E.2
  • 54
    • 84962286311 scopus 로고    scopus 로고
    • Efficacy, safety, and pharmacokinetics of coadministered diethylcarbamazine, albendazole, and ivermectin for treatment of Bancroftian filariasis
    • Thomsen EK, Sanuku N, Baea M, Satofan S, Maki E, Lombore B, Schmidt MS, Siba PM, Weil GJ, Kazura JW, et al. Efficacy, safety, and pharmacokinetics of coadministered diethylcarbamazine, albendazole, and ivermectin for treatment of Bancroftian filariasis. Clin Infect Dis. 2016;62(3):334-41.
    • (2016) Clin Infect Dis , vol.62 , Issue.3 , pp. 334-341
    • Thomsen, E.K.1    Sanuku, N.2    Baea, M.3    Satofan, S.4    Maki, E.5    Lombore, B.6    Schmidt, M.S.7    Siba, P.M.8    Weil, G.J.9    Kazura, J.W.10
  • 55
    • 0000280646 scopus 로고
    • Translating models across scales in the landscape
    • Turner MG, Gardner RH, editors. New York: Springer
    • King AW. Translating models across scales in the landscape. In: Turner MG, Gardner RH, editors. Quantitative methods in landscape ecology, ecological studies, vol. 82. New York: Springer; 1991. p. 479-517.
    • (1991) Quantitative methods in landscape ecology, ecological studies , vol.82 , pp. 479-517
    • King, A.W.1
  • 58
    • 33746754063 scopus 로고    scopus 로고
    • Calibration of large spatial models: a multistage, multiobjective optimization technique
    • Costanza R, Vionov A, editors. New York: Springer
    • Villa F, Voinov A, Fitz C, Costanza R. Calibration of large spatial models: a multistage, multiobjective optimization technique. In: Costanza R, Vionov A, editors. Landscape simulation modeling: a spatially explicit, dynamic approach. New York: Springer; 2004. p. 77-116.
    • (2004) Landscape simulation modeling: a spatially explicit, dynamic approach , pp. 77-116
    • Villa, F.1    Voinov, A.2    Fitz, C.3    Costanza, R.4
  • 59
    • 0027101175 scopus 로고
    • The problem of pattern and scale in ecology
    • Levin SA. The problem of pattern and scale in ecology. Ecology. 1992;73(6):1943-67.
    • (1992) Ecology , vol.73 , Issue.6 , pp. 1943-1967
    • Levin, S.A.1
  • 60
    • 0024939275 scopus 로고
    • Spatial scaling in ecology
    • Wiens JA. Spatial scaling in ecology. Funct Ecol. 1989;3(4):385-97.
    • (1989) Funct Ecol , vol.3 , Issue.4 , pp. 385-397
    • Wiens, J.A.1
  • 62
    • 84856577081 scopus 로고    scopus 로고
    • Internal versus external determinants of Schistosoma japonicum transmission in irrigated agricultural villages
    • Spear RC. Internal versus external determinants of Schistosoma japonicum transmission in irrigated agricultural villages. J R Soc Interface. 2012;9(67):272-82.
    • (2012) J R Soc Interface , vol.9 , Issue.67 , pp. 272-282
    • Spear, R.C.1
  • 63
    • 0000639191 scopus 로고
    • Models for spatially distributed populations - the effect of within-patch variability
    • Chesson PL. Models for spatially distributed populations - the effect of within-patch variability. Theor Popul Biol. 1981;19(3):288-325.
    • (1981) Theor Popul Biol , vol.19 , Issue.3 , pp. 288-325
    • Chesson, P.L.1
  • 64
    • 77955910748 scopus 로고    scopus 로고
    • Transmission models and management of lymphatic filariasis elimination
    • Michael E, Gambhir M. Transmission models and management of lymphatic filariasis elimination. Adv Exper Med Biol. 2010;673:157-71.
    • (2010) Adv Exper Med Biol , vol.673 , pp. 157-171
    • Michael, E.1    Gambhir, M.2
  • 65
    • 33745012953 scopus 로고    scopus 로고
    • Mathematical models and lymphatic filariasis control: endpoints and optimal interventions
    • Michael E, Malecela-Lazaro MN, Kabali C, Snow LC, Kazura JW. Mathematical models and lymphatic filariasis control: endpoints and optimal interventions. Trends Parasitol. 2006;22(5):226-33.
    • (2006) Trends Parasitol , vol.22 , Issue.5 , pp. 226-233
    • Michael, E.1    Malecela-Lazaro, M.N.2    Kabali, C.3    Snow, L.C.4    Kazura, J.W.5
  • 70
    • 0036857858 scopus 로고    scopus 로고
    • A geostatistical analysis of the geographic distribution of lymphatic filariasis prevalence in southern India
    • Srividya A, Michael E, Palaniyandi M, Pani SP, Das PK. A geostatistical analysis of the geographic distribution of lymphatic filariasis prevalence in southern India. Am J Trop Med Hyg. 2002;67(5):480-9.
    • (2002) Am J Trop Med Hyg , vol.67 , Issue.5 , pp. 480-489
    • Srividya, A.1    Michael, E.2    Palaniyandi, M.3    Pani, S.P.4    Das, P.K.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.