메뉴 건너뛰기




Volumn 56, Issue , 2011, Pages 41-61

Using geographic information systems and decision support systems for the prediction, prevention, and control of vector-borne diseases

Author keywords

dengue; GIS; Lyme borreliosis; malaria; modeling; plague; risk map; West Nile virus disease

Indexed keywords

ANIMAL; ARTICLE; COMMUNICABLE DISEASE; DECISION SUPPORT SYSTEM; DISEASE CARRIER; DISEASE TRANSMISSION; HUMAN; INFECTION CONTROL;

EID: 78650856550     PISSN: 00664170     EISSN: None     Source Type: Book Series    
DOI: 10.1146/annurev-ento-120709-144847     Document Type: Article
Times cited : (148)

References (126)
  • 1
    • 0012362182 scopus 로고    scopus 로고
    • The use of GIS in ovitrap monitoring for dengue control in Singapore
    • Ai-leen GT, Song RJ. 2000. The use of GIS in ovitrap monitoring for dengue control in Singapore. Dengue Bull. 24:110-16
    • (2000) Dengue Bull. , vol.24 , pp. 110-16
    • Ai-Leen, G.T.1    Song, R.J.2
  • 2
    • 41249089508 scopus 로고    scopus 로고
    • Quantitative assessment of the benefits of specific information technologies applied to clinical studies in developing countries
    • Aviles W, Ortega O, Kuan G, Coloma J, Harris E. 2008. Quantitative assessment of the benefits of specific information technologies applied to clinical studies in developing countries. Am. J. Trop. Med. Hyg. 78:311-15
    • (2008) Am. J. Trop. Med. Hyg. , vol.78 , pp. 311-15
    • Aviles, W.1    Ortega, O.2    Kuan, G.3    Coloma, J.4    Harris, E.5
  • 5
    • 0034130635 scopus 로고    scopus 로고
    • Remote sensing and human health: New sensors and new opportunities
    • Beck LR, Lobitz BM, Wood BL. 2000. Remote sensing and human health: New sensors and new opportunities. Emerg. Infect. Dis. 6:217-27
    • (2000) Emerg. Infect. Dis. , vol.6 , pp. 217-27
    • Beck, L.R.1    Lobitz, B.M.2    Wood, B.L.3
  • 6
    • 33751250224 scopus 로고    scopus 로고
    • Current practices in spatial analysis of cancer data: Mapping health statistics to inform policymakers and the public
    • Bell BS, Hoskins RE, Pickle LW, Wartenberg D. 2006. Current practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public. Int. J. Health Geogr. 5:49
    • (2006) Int. J. Health Geogr. , vol.5 , pp. 49
    • Bell, B.S.1    Hoskins, R.E.2    Pickle, L.W.3    Wartenberg, D.4
  • 7
    • 34347251583 scopus 로고    scopus 로고
    • High spatial resolution mapping of malaria transmission risk in the Gambia, West Africa, using LANDSAT TM satellite imagery
    • Bogh C, Lindsay SW, Clarke SE, Dean A, Jawara M, et al. 2007. High spatial resolution mapping of malaria transmission risk in the Gambia, West Africa, using LANDSAT TM satellite imagery. Am. J. Trop. Med. Hyg. 76:875-81
    • (2007) Am. J. Trop. Med. Hyg. , vol.76 , pp. 875-81
    • Bogh, C.1    Lindsay, S.W.2    Clarke, S.E.3    Dean, A.4    Jawara, M.5
  • 8
    • 0035787359 scopus 로고    scopus 로고
    • Application of GIS in modeling of dengue risk based on sociocultural data: Case of Jalore, Rajasthan, India
    • Bohra A, Andrianasolo H. 2001. Application of GIS in modeling of dengue risk based on sociocultural data: case of Jalore, Rajasthan, India. Dengue Bull. 25:92-102
    • (2001) Dengue Bull. , vol.25 , pp. 92-102
    • Bohra, A.1    Andrianasolo, H.2
  • 9
    • 0034490298 scopus 로고    scopus 로고
    • Using a geographical information system to plan a malaria control program in South Africa
    • Booman M, Durrheim DN, La Grange K, Martin C, Mabuza AM, et al. 2000. Using a geographical information system to plan a malaria control program in South Africa. Bull. WHO 78:1438-44
    • (2000) Bull. WHO , vol.78 , pp. 1438-44
    • Booman, M.1    Durrheim, D.N.2    La Grange, K.3    Martin, C.4    Mabuza, A.M.5
  • 10
    • 0042698846 scopus 로고    scopus 로고
    • A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States
    • Brownstein JS, Holford TR, Fish D. 2003. A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United States. Environ. Health Perspect. 111:1152-57
    • (2003) Environ. Health Perspect. , vol.111 , pp. 1152-57
    • Brownstein, J.S.1    Holford, T.R.2    Fish, D.3
  • 11
    • 0141501508 scopus 로고    scopus 로고
    • Spatial analysis of West Nile virus: Rapid risk assessment of an introduced vector-borne zoonosis
    • Brownstein JS, Rosen H, Purdy D, Miller JR, Merlino M, et al. 2002. Spatial analysis of West Nile virus: rapid risk assessment of an introduced vector-borne zoonosis. Vector Borne Zoonotic Dis. 2:157-64
    • (2002) Vector Borne Zoonotic Dis. , vol.2 , pp. 157-64
    • Brownstein, J.S.1    Rosen, H.2    Purdy, D.3    Miller, J.R.4    Merlino, M.5
  • 12
    • 1642361618 scopus 로고    scopus 로고
    • Geographic information systems and spatial analysis of adult Ixodes scapularis (Acari: Ixodidae) in the Middle Atlantic region of the USA
    • Bunnell JE, Price SD, Das A, Shields TM, Glass GE. 2003. Geographic information systems and spatial analysis of adult Ixodes scapularis (Acari: Ixodidae) in the Middle Atlantic region of the USA. J. Med. Entomol. 40:570-76
    • (2003) J. Med. Entomol. , vol.40 , pp. 570-76
    • Bunnell, J.E.1    Price, S.D.2    Das, A.3    Shields, T.M.4    Glass, G.E.5
  • 13
    • 23244464286 scopus 로고    scopus 로고
    • Impact of vector control on a dengue fever outbreak in Trinidad, West Indies, in 1998
    • Chadee DD, Williams FLR, Kitron UD. 2005. Impact of vector control on a dengue fever outbreak in Trinidad, West Indies, in 1998. Trop. Med. Int. Health 10:748-54
    • (2005) Trop. Med. Int. Health , vol.10 , pp. 748-54
    • Chadee, D.D.1    Flr, W.2    Kitron, U.D.3
  • 14
    • 69249171371 scopus 로고    scopus 로고
    • Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries
    • Chang A, Parrales M, Jimenez J, Sobieszczyk M, Hammer S, et al. 2009. Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries. Int. J. Health Geogr. 8:49
    • (2009) Int. J. Health Geogr. , vol.8 , pp. 49
    • Chang, A.1    Parrales, M.2    Jimenez, J.3    Sobieszczyk, M.4    Hammer, S.5
  • 15
    • 33748345365 scopus 로고    scopus 로고
    • Spatiotemporal Bayesian analysis of Lyme disease in New York state,1990-2000
    • Chen H, Stratton HH, Caraco TB, White DJ. 2006. Spatiotemporal Bayesian analysis of Lyme disease in New York state, 1990-2000. J. Med. Entomol. 43:777-84
    • (2006) J. Med. Entomol. , vol.43 , pp. 777-84
    • Chen, H.1    Stratton, H.H.2    Caraco, T.B.3    White, D.J.4
  • 16
    • 65549097730 scopus 로고    scopus 로고
    • Using the SaTScan method to detect local malaria clusters for guiding malaria control programmes
    • Coleman M, Coleman M, Mabuza AM, Kok G, Coetzee M, Durrheim DN. 2009. Using the SaTScan method to detect local malaria clusters for guiding malaria control programmes. Malar. J. 8:68
    • (2009) Malar. J. , vol.8 , pp. 68
    • Coleman, M.1    Coleman, M.2    Mabuza, A.M.3    Kok, G.4    Coetzee, M.5    Durrheim, D.N.6
  • 17
    • 78650918127 scopus 로고    scopus 로고
    • The implications of entomological monitoring and evaluation for arthropod vector-borne disease control programs
    • ed. SM Lemon, PF Sparling, MA Hamburg, DA Relman, ER Choffnes, A Mack Washington, DC: Natl. Acad. Press
    • Coleman M, Hemingway J. 2008. The implications of entomological monitoring and evaluation for arthropod vector-borne disease control programs. In Vector-Borne Disease - Understanding the Environmental, Human Health, & Ecological Connections. Institute of Medicine Workshop Summary, ed. SM Lemon, PF Sparling, MA Hamburg, DA Relman, ER Choffnes, A Mack, pp. 178-89. Washington, DC: Natl. Acad. Press
    • (2008) Vector-Borne Disease - Understanding the Environmental, Human Health, & Ecological Connections. Institute of Medicine Workshop Summary , pp. 178-89
    • Coleman, M.1    Hemingway, J.2
  • 18
    • 33748370084 scopus 로고    scopus 로고
    • Developing an evidence-based decision support system for rational insecticide choice in the control of African malaria vectors
    • Coleman M, Sharp B, Seocharan I, Hemingway J. 2006. Developing an evidence-based decision support system for rational insecticide choice in the control of African malaria vectors. J. Med. Entomol. 43:663-68
    • (2006) J. Med. Entomol. , vol.43 , pp. 663-68
    • Coleman, M.1    Sharp, B.2    Seocharan, I.3    Hemingway, J.4
  • 19
    • 36448932333 scopus 로고    scopus 로고
    • Developing a spatial-statistical model and map of historical malaria prevalence in Botswana using a staged variable selection procedure
    • Craig MH, Sharp BL, Mabaso ML, Kleinschmidt I. 2007. Developing a spatial-statistical model and map of historical malaria prevalence in Botswana using a staged variable selection procedure. Int. J. Health Geogr. 6:44
    • (2007) Int. J. Health Geogr. , vol.6 , pp. 44
    • Craig, M.H.1    Sharp, B.L.2    Mabaso, M.L.3    Kleinschmidt, I.4
  • 20
    • 0036187277 scopus 로고    scopus 로고
    • Modelling a discrete spatial response using generalized linear mixed models: Application to Lyme disease vectors
    • Das A, Lele SR, Glass GE, Shields T, Patz J. 2002. Modelling a discrete spatial response using generalized linear mixed models: application to Lyme disease vectors. Int. J. Geogr. Inf. Sci. 16:151-66
    • (2002) Int. J. Geogr. Inf. Sci. , vol.16 , pp. 151-66
    • Das, A.1    Lele, S.R.2    Glass, G.E.3    Shields, T.4    Patz, J.5
  • 21
    • 33751243608 scopus 로고    scopus 로고
    • Modeling the spatial distribution of mosquito vectors for West Nile virus in Connecticut, USA
    • Diuk-Wasser MA, Brown HE, Andreadis TG, Fish D. 2006. Modeling the spatial distribution of mosquito vectors for West Nile virus in Connecticut, USA. Vector-Borne Zoonotic Dis. 6:283-95
    • (2006) Vector-Borne Zoonotic Dis. , vol.6 , pp. 283-95
    • Diuk-Wasser, M.A.1    Brown, H.E.2    Andreadis, T.G.3    Fish, D.4
  • 22
    • 33750977865 scopus 로고    scopus 로고
    • Spatiotemporal patterns of host-seeking Ixodes scapularis nymphs (Acari: Ixodidae) in the United States
    • Diuk-Wasser MA, Gatewood AG, Cortinas MR, Yaremych-Hamer S, Tsao J, et al. 2006. Spatiotemporal patterns of host-seeking Ixodes scapularis nymphs (Acari: Ixodidae) in the United States. J. Med. Entomol. 43:166-76
    • (2006) J. Med. Entomol. , vol.43 , pp. 166-76
    • Diuk-Wasser, M.A.1    Gatewood, A.G.2    Cortinas, M.R.3    Yaremych-Hamer, S.4    Tsao, J.5
  • 23
    • 77954820390 scopus 로고    scopus 로고
    • Field and climate-based model for predicting the density of host-seeking nymphal Ixodes scapularis, an important vector of tick-borne disease agents in the eastern United States
    • Diuk-Wasser MA, Vourc'h G, Cislo P, Gatewood Hoen AG, Melton F, et al. 2010. Field and climate-based model for predicting the density of host-seeking nymphal Ixodes scapularis, an important vector of tick-borne disease agents in the eastern United States. Global Ecol. Biogeogr. 19:504-14
    • (2010) Global Ecol. Biogeogr. , vol.19 , pp. 504-14
    • Diuk-Wasser, M.A.1    Vourc'H, G.2    Cislo, P.3    Gatewood Hoen, A.G.4    Melton, F.5
  • 24
    • 57649193943 scopus 로고    scopus 로고
    • Innovative decision support and vector control approaches to control dengue
    • Institute of Medicine Workshop Summary, ed. SM Lemon, PF Sparling, MA Hamburg, DA Relman, ER Choffnes, A Mack Washington, DC: Natl. Acad. Press
    • Eisen L, Beaty BJ. 2008. Innovative decision support and vector control approaches to control dengue. In Vector-Borne Disease - Understanding the Environmental, Human Health, & Ecological Connections. Institute of Medicine Workshop Summary, ed. SM Lemon, PF Sparling, MA Hamburg, DA Relman, ER Choffnes, A Mack, pp. 150-61. Washington, DC: Natl. Acad. Press
    • (2008) Vector-Borne Disease - Understanding the Environmental, Human Health, & Ecological Connections , pp. 150-61
    • Eisen, L.1    Beaty, B.J.2
  • 25
    • 37049024999 scopus 로고    scopus 로고
    • Need for improved methods to collect and present spatial epidemiologic data for vectorborne diseases
    • Eisen L, Eisen RJ. 2007. Need for improved methods to collect and present spatial epidemiologic data for vectorborne diseases. Emerg. Infect. Dis. 13:1816-20
    • (2007) Emerg. Infect. Dis. , vol.13 , pp. 1816-20
    • Eisen, L.1    Eisen, R.J.2
  • 26
    • 65549095062 scopus 로고    scopus 로고
    • Use of mapping and spatial and space-time modeling approaches in operational control of Aedes aegypti and dengue
    • Eisen L, Lozano-Fuentes S. 2009. Use of mapping and spatial and space-time modeling approaches in operational control of Aedes aegypti and dengue. PLoS Negl. Trop. Dis. 3:e411
    • (2009) PLoS Negl. Trop. Dis. , vol.3
    • Eisen, L.1    Lozano-Fuentes, S.2
  • 27
    • 41049103099 scopus 로고    scopus 로고
    • Spatial modeling of human risk of exposure to vector-borne pathogens based on epidemiological versus arthropod vector data
    • Eisen RJ, Eisen L. 2008. Spatial modeling of human risk of exposure to vector-borne pathogens based on epidemiological versus arthropod vector data. J. Med. Entomol. 45:181-92
    • (2008) J. Med. Entomol. , vol.45 , pp. 181-92
    • Eisen, R.J.1    Eisen, L.2
  • 28
    • 33646377408 scopus 로고    scopus 로고
    • Predicting density of Ixodes pacificus nymphs in dense woodlands in Mendocino County, California, based on geographic information systems and remote sensing versus field-derived data
    • Eisen RJ, Eisen L, Lane RS. 2006. Predicting density of Ixodes pacificus nymphs in dense woodlands in Mendocino County, California, based on geographic information systems and remote sensing versus field-derived data. Am. J. Trop. Med. Hyg. 74:632-40
    • (2006) Am. J. Trop. Med. Hyg. , vol.74 , pp. 632-40
    • Eisen, R.J.1    Eisen, L.2    Lane, R.S.3
  • 29
    • 34249679065 scopus 로고    scopus 로고
    • Human plague in the southwestern United States, 1957- 2004: Spatial models of elevated risk of human exposure to Yersinia pestis
    • Eisen RJ, Enscore RE, Biggerstaff BJ, Reynolds PJ, Ettestad P, et al. 2007. Human plague in the southwestern United States, 1957-2004: spatial models of elevated risk of human exposure to Yersinia pestis. J. Med. Entomol. 44:530-37
    • (2007) J. Med. Entomol. , vol.44 , pp. 530-37
    • Eisen, R.J.1    Enscore, R.E.2    Biggerstaff, B.J.3    Reynolds, P.J.4    Ettestad, P.5
  • 30
    • 39049167124 scopus 로고    scopus 로고
    • A spatial model of shared risk for plague and hantavirus pulmonary syndrome in the southwestern United States
    • Eisen RJ, Glass GE, Eisen L, Cheek J, Enscore RE, et al. 2007. A spatial model of shared risk for plague and hantavirus pulmonary syndrome in the southwestern United States. Am. J. Trop. Med. Hyg. 77:999-1004
    • (2007) Am. J. Trop. Med. Hyg. , vol.77 , pp. 999-1004
    • Eisen, R.J.1    Glass, G.E.2    Eisen, L.3    Cheek, J.4    Enscore, R.E.5
  • 31
    • 77952678650 scopus 로고    scopus 로고
    • Assessing human risk of exposure to plague bacteria in northwestern Uganda based on remotely sensed predictors
    • Eisen RJ, Griffith KS, Borchert JN, MacMillan K, Apangu T, et al. 2010. Assessing human risk of exposure to plague bacteria in northwestern Uganda based on remotely sensed predictors. Am. J. Trop. Med. Hyg. 82:904-11
    • (2010) Am. J. Trop. Med. Hyg. , vol.82 , pp. 904-11
    • Eisen, R.J.1    Griffith, K.S.2    Borchert, J.N.3    MacMillan, K.4    Apangu, T.5
  • 32
    • 33750611976 scopus 로고    scopus 로고
    • Spatial patterns of Lyme disease risk in California based on disease incidence data and modeling of vector-tick exposure
    • Eisen RJ, Lane RS, Fritz CL, Eisen L. 2006. Spatial patterns of Lyme disease risk in California based on disease incidence data and modeling of vector-tick exposure. Am. J. Trop. Med. Hyg. 75:669-76
    • (2006) Am. J. Trop. Med. Hyg. , vol.75 , pp. 669-76
    • Eisen, R.J.1    Lane, R.S.2    Fritz, C.L.3    Eisen, L.4
  • 34
    • 33645917058 scopus 로고    scopus 로고
    • Novel methods improve prediction of species' distributions from occurrence data
    • Elith J, Graham CH, Anderson RP, Dudik M, Ferrier S, et al. 2006. Novel methods improve prediction of species' distributions from occurrence data. Ecography 29:129-51
    • (2006) Ecography , vol.29 , pp. 129-51
    • Elith, J.1    Graham, C.H.2    Anderson, R.P.3    Dudik, M.4    Ferrier, S.5
  • 35
    • 0030953391 scopus 로고    scopus 로고
    • A review of methods for the assessment of prediction errors in conservation presence/absence models
    • Fielding AH, Bell JF. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 24:38-49
    • (1997) Environ. Conserv. , vol.24 , pp. 38-49
    • Fielding, A.H.1    Bell, J.F.2
  • 41
    • 1342325632 scopus 로고    scopus 로고
    • Characteristics of the spatial pattern of the dengue vector, Aedes aegypti, in Iquitos, Peru
    • Getis A, Morrison AC, Gray K, Scott TW. 2003. Characteristics of the spatial pattern of the dengue vector, Aedes aegypti, in Iquitos, Peru. Am. J. Trop. Med. Hyg. 69:494-505
    • (2003) Am. J. Trop. Med. Hyg. , vol.69 , pp. 494-505
    • Getis, A.1    Morrison, A.C.2    Gray, K.3    Scott, T.W.4
  • 42
    • 0032975954 scopus 로고    scopus 로고
    • Emerging and resurging vector-borne diseases
    • Gratz NG. 1999. Emerging and resurging vector-borne diseases. Annu. Rev. Entomol. 44:51-75
    • (1999) Annu. Rev. Entomol. , vol.44 , pp. 51-75
    • Gratz, N.G.1
  • 43
    • 0036193887 scopus 로고    scopus 로고
    • Predicting the risk of Lyme disease: Habitat suitability for Ixodes scapularis in the north central United States
    • Guerra M, Walker E, Jones C, Paskewitz S, Cortinas MR, et al. 2002. Predicting the risk of Lyme disease: habitat suitability for Ixodes scapularis in the north central United States. Emerg. Infect. Dis. 8:289-97
    • (2002) Emerg. Infect. Dis. , vol.8 , pp. 289-97
    • Guerra, M.1    Walker, E.2    Jones, C.3    Paskewitz, S.4    Cortinas, M.R.5
  • 44
    • 0037202446 scopus 로고    scopus 로고
    • Generalized linear and generalized additive models in studies of species distributions: Setting the scene
    • Guisan A, Edwards TC, Hastie T. 2002. Generalized linear and generalized additive models in studies of species distributions: setting the scene. Ecol. Model. 157:89-100
    • (2002) Ecol. Model. , vol.157 , pp. 89-100
    • Guisan, A.1    Edwards, T.C.2    Hastie, T.3
  • 46
    • 0033830917 scopus 로고    scopus 로고
    • Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa
    • Hay SI, Omumbo JA, Craig MH, Snow RW. 2000. Earth observation, geographic information systems and Plasmodium falciparum malaria in sub-Saharan Africa. Adv. Parasitol. 47:173-215
    • (2000) Adv. Parasitol. , vol.47 , pp. 173-215
    • Hay, S.I.1    Omumbo, J.A.2    Craig, M.H.3    Snow, R.W.4
  • 47
    • 33750926518 scopus 로고    scopus 로고
    • The Malaria Atlas Project: Developing global maps of malaria risk
    • Hay SI, Snow RW. 2006. The Malaria Atlas Project: developing global maps of malaria risk. PLoS Med. 3:e473
    • (2006) PLoS Med. , vol.3
    • Hay, S.I.1    Snow, R.W.2
  • 48
    • 0031931561 scopus 로고    scopus 로고
    • Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data
    • Hay SI, Snow RW, Rogers DJ. 1998. Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data. Trans. R. Soc. Trop. Med. Hyg. 92:12-20
    • (1998) Trans. R. Soc. Trop. Med. Hyg. , vol.92 , pp. 12-20
    • Hay, S.I.1    Snow, R.W.2    Rogers, D.J.3
  • 49
    • 33745411632 scopus 로고    scopus 로고
    • The Innovative Vector Control Consortium: Improved control of mosquito-borne diseases
    • Hemingway J, Beaty BJ, Rowland M, Scott TW, Sharp BL. 2006. The Innovative Vector Control Consortium: improved control of mosquito-borne diseases. Parasitol. Today 22:308-12
    • (2006) Parasitol. Today , vol.22 , pp. 308-12
    • Hemingway, J.1    Beaty, B.J.2    Rowland, M.3    Scott, T.W.4    Sharp, B.L.5
  • 50
    • 68349089034 scopus 로고    scopus 로고
    • Spatial analysis of plague in California: Niche modeling predictions of the current distribution and potential response to climate change
    • Holt AC, Salkeld DJ, Fritz CL, Tucker JR, Gong P. 2009. Spatial analysis of plague in California: niche modeling predictions of the current distribution and potential response to climate change. Int. J. Health Geogr. 8:38
    • (2009) Int. J. Health Geogr. , vol.8 , pp. 38
    • Holt, A.C.1    Salkeld, D.J.2    Fritz, C.L.3    Tucker, J.R.4    Gong, P.5
  • 51
    • 73449093803 scopus 로고    scopus 로고
    • Spatial evaluation and modeling of dengue seroprevalence and vector density in Rio de Janeiro, Brazil
    • Honório NA, Nogueira RMR, Codeço CT, Carvalho MS, Cruz OG, et al. 2009. Spatial evaluation and modeling of dengue seroprevalence and vector density in Rio de Janeiro, Brazil. PLoS Negl. Trop. Dis. 3:e545
    • (2009) PLoS Negl. Trop. Dis. , vol.3
    • Honório, N.A.1    Rmr, N.2    Codeço, C.T.3    Carvalho, M.S.4    Cruz, O.G.5
  • 53
    • 25444464615 scopus 로고    scopus 로고
    • Evaluation of environmental data for identification of Anopheles (Diptera: Culicidae) aquatic larval habitats in Kisumu and Malindi, Kenya
    • Jacob BG, Arheart KL, Griffith DA, Mbogo CM, Githeko AK, et al. 2005. Evaluation of environmental data for identification of Anopheles (Diptera: Culicidae) aquatic larval habitats in Kisumu and Malindi, Kenya. J. Med. Entomol. 42:751-55
    • (2005) J. Med. Entomol. , vol.42 , pp. 751-55
    • Jacob, B.G.1    Arheart, K.L.2    Griffith, D.A.3    Mbogo, C.M.4    Githeko, A.K.5
  • 54
    • 13144296634 scopus 로고    scopus 로고
    • Current practices in the spatial analysis of cancer: Flies in the ointment
    • Jacquez G. 2004. Current practices in the spatial analysis of cancer: flies in the ointment. Int. J. Health Geogr. 3:22
    • (2004) Int. J. Health Geogr. , vol.3 , pp. 22
    • Jacquez, G.1
  • 55
    • 65549154217 scopus 로고    scopus 로고
    • Local and global effects of climate on dengue transmission in Puerto Rico
    • Johansson MA, Dominici F, Glass GE. 2008. Local and global effects of climate on dengue transmission in Puerto Rico. PLoS Negl. Trop. Dis. 3:e382
    • (2008) PLoS Negl. Trop. Dis. , vol.3
    • Johansson, M.A.1    Dominici, F.2    Glass, G.E.3
  • 56
    • 77953048359 scopus 로고    scopus 로고
    • Using cell phone technology for infectious disease surveillance in low-resource environments: A case study from Peru
    • Institute of Medicine Workshop Summary, ed. SM Lemon, PF Sparling, MA Hamburg, DA Relman, ER Choffnes, A Mack Washington, DC: Natl. Acad. Press
    • Johnson PR, Blazes DL. 2007. Using cell phone technology for infectious disease surveillance in low-resource environments: a case study from Peru. In Global Infectious Disease Surveillance and Detection: Assessing the Challenges - Finding Solutions. Institute of Medicine Workshop Summary, ed. SM Lemon, PF Sparling, MA Hamburg, DA Relman, ER Choffnes, A Mack, pp. 136-57. Washington, DC: Natl. Acad. Press
    • (2007) Global Infectious Disease Surveillance and Detection: Assessing the Challenges - Finding Solutions , pp. 136-57
    • Johnson, P.R.1    Blazes, D.L.2
  • 57
    • 51949092002 scopus 로고    scopus 로고
    • Two clustering diffusion patterns identified from the 2001-2003 dengue epidemic, Kaohsiung, Taiwan
    • Kan C-C, Lee P-F, Wen T-H, Chao D-Y, Wu M-H, et al. 2008. Two clustering diffusion patterns identified from the 2001-2003 dengue epidemic, Kaohsiung, Taiwan. Am. J. Trop. Med. Hyg. 79:344-52
    • (2008) Am. J. Trop. Med. Hyg. , vol.79 , pp. 344-52
    • Kan, C.-C.1    Lee, P.-F.2    Wen, T.-H.3    Chao, D.-Y.4    Wu, M.-H.5
  • 58
    • 0032110652 scopus 로고    scopus 로고
    • Landscape ecology and epidemiology of vector-borne diseases: Tools for spatial analysis
    • Kitron U. 1998. Landscape ecology and epidemiology of vector-borne diseases: tools for spatial analysis. J. Med. Entomol. 35:435-45
    • (1998) J. Med. Entomol. , vol.35 , pp. 435-45
    • Kitron, U.1
  • 59
    • 0034255795 scopus 로고    scopus 로고
    • Risk maps: Transmission and burden of vector-borne diseases
    • Kitron UD. 2000. Risk maps: transmission and burden of vector-borne diseases. Parasitol. Today 16:324-25
    • (2000) Parasitol. Today , vol.16 , pp. 324-25
    • Kitron, U.D.1
  • 61
    • 0002950234 scopus 로고
    • The detection of space-time iterations
    • Knox GE. 1964. The detection of space-time iterations. J. R. Stat. Soc. 13:25-29
    • (1964) J. R. Stat. Soc. , vol.13 , pp. 25-29
    • Knox, G.E.1
  • 62
    • 40349116664 scopus 로고    scopus 로고
    • A global perspective on the epidemiology of West Nile virus
    • Kramer LD, Styer LM, Ebel GD. 2008. A global perspective on the epidemiology of West Nile virus. Annu. Rev. Entomol. 53:61-81
    • (2008) Annu. Rev. Entomol. , vol.53 , pp. 61-81
    • Kramer, L.D.1    Styer, L.M.2    Ebel, G.D.3
  • 64
    • 38349170049 scopus 로고    scopus 로고
    • Identification of key areas for Aedes aegypti control through geoprocessing in Nova Iguacu, Rio de Janeiro State, Brazil
    • Lagrotta MT, Silva Wda C, Souza-Santos R. 2008. Identification of key areas for Aedes aegypti control through geoprocessing in Nova Iguacu, Rio de Janeiro State, Brazil. Cad. Saude Publ. 24:70-80
    • (2008) Cad. Saude Publ. , vol.24 , pp. 70-80
    • Lagrotta, M.T.1    Silva Wda, C.2    Souza-Santos, R.3
  • 65
    • 33644619842 scopus 로고    scopus 로고
    • Disease cluster detection: A critique and a Bayesian proposal
    • Lawson AB. 2006. Disease cluster detection: a critique and a Bayesian proposal. Stat. Med. 25:897-916
    • (2006) Stat. Med. , vol.25 , pp. 897-916
    • Lawson, A.B.1
  • 67
    • 50849104581 scopus 로고    scopus 로고
    • Use of Google Earth to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments
    • Lozano-Fuentes S, Elizondo-Quiroga D, Farfan-Ale JA, Loroño-Pino MA, Garcia-Rejon J, et al. 2008. Use of Google Earth to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments. Bull. WHO 86:718-25
    • (2008) Bull. WHO , vol.86 , pp. 718-25
    • Lozano-Fuentes, S.1    Elizondo-Quiroga, D.2    Farfan-Ale, J.A.3    Loroño-Pino, M.A.4    Garcia-Rejon, J.5
  • 68
    • 24744455634 scopus 로고    scopus 로고
    • Towards empirical description of malaria seasonality in southern Africa: The example of Zimbabwe
    • Mabaso ML, Craig M, Vounatsou P, Smith T. 2005. Towards empirical description of malaria seasonality in southern Africa: the example of Zimbabwe. Trop. Med. Int. Health 10:909-18
    • (2005) Trop. Med. Int. Health , vol.10 , pp. 909-18
    • Mabaso, M.L.1    Craig, M.2    Vounatsou, P.3    Smith, T.4
  • 69
    • 0037083254 scopus 로고    scopus 로고
    • Spatio-temporal modelling of rates for the construction of disease maps
    • MacNab YC, Dean CB. 2002. Spatio-temporal modelling of rates for the construction of disease maps. Stat. Med. 21:347-58
    • (2002) Stat. Med. , vol.21 , pp. 347-58
    • MacNab, Y.C.1    Dean, C.B.2
  • 70
    • 70449467025 scopus 로고    scopus 로고
    • Skeeter Buster: A stochastic, spatially explicit modeling tool for studying Aedes aegypti population replacement and population suppression strategies
    • Magori K, Legros M, Puente ME, Focks DA, Scott TW, et al. 2009. Skeeter Buster: a stochastic, spatially explicit modeling tool for studying Aedes aegypti population replacement and population suppression strategies. PLoS Negl. Trop. Dis. 3:e508
    • (2009) PLoS Negl. Trop. Dis. , vol.3
    • Magori, K.1    Legros, M.2    Puente, M.E.3    Focks, D.A.4    Scott, T.W.5
  • 71
    • 56749132951 scopus 로고    scopus 로고
    • Spatial and temporal clustering of dengue virus transmission in Thai villages
    • Mammen MP, Pimgate C, Koenraadt CJM, Rothman AL, Aldstadt J, et al. 2008. Spatial and temporal clustering of dengue virus transmission in Thai villages. PLoS Med. 5:e205
    • (2008) PLoS Med. , vol.5
    • Mammen, M.P.1    Pimgate, C.2    Cjm, K.3    Rothman, A.L.4    Aldstadt, J.5
  • 72
    • 0036887716 scopus 로고    scopus 로고
    • The use of a GIS-based malaria information system for malaria research and control in South Africa
    • Martin C, Curtis B, Fraser C, Sharp B. 2002. The use of a GIS-based malaria information system for malaria research and control in South Africa. Health Place 8:227-36
    • (2002) Health Place , vol.8 , pp. 227-36
    • Martin, C.1    Curtis, B.2    Fraser, C.3    Sharp, B.4
  • 74
    • 41049089257 scopus 로고    scopus 로고
    • Malaria in Africa: Vector species' niche models and relative risk maps
    • Moffett A, Shackelford N, Sarkar S. 2007. Malaria in Africa: vector species' niche models and relative risk maps. PLoS One 2:e824
    • (2007) PLoS One , vol.2
    • Moffett, A.1    Shackelford, N.2    Sarkar, S.3
  • 75
    • 40149095727 scopus 로고    scopus 로고
    • Spatial correlation of incidence of dengue with socioeconomic, demographic and environmental variables in a Brazilian city
    • Mondini A, Chiaravalloti-Neto F. 2008. Spatial correlation of incidence of dengue with socioeconomic, demographic and environmental variables in a Brazilian city. Sci. Total Environ. 393:241-48
    • (2008) Sci. Total Environ. , vol.393 , pp. 241-48
    • Mondini, A.1    Chiaravalloti-Neto, F.2
  • 76
    • 0031948526 scopus 로고    scopus 로고
    • Exploratory space-time analysis of reported dengue cases during an outbreak in Florida, Puerto Rico, 1991- 1992
    • Morrison AC, Getis A, Santiago M, Rigau-Perez JG, Reiter P. 1998. Exploratory space-time analysis of reported dengue cases during an outbreak in Florida, Puerto Rico, 1991-1992. Am. J. Trop. Med. Hyg. 58:287-98
    • (1998) Am. J. Trop. Med. Hyg. , vol.58 , pp. 287-98
    • Morrison, A.C.1    Getis, A.2    Santiago, M.3    Rigau-Perez, J.G.4    Reiter, P.5
  • 78
    • 77949830923 scopus 로고    scopus 로고
    • Predicting potential risk areas of human plague for the western Usambara Mountains, Lushoto district, Tanzania
    • Neerinckx S, Peterson AT, Gulinck H, Deckers J, Kimaro D, Leirs H. 2010. Predicting potential risk areas of human plague for the western Usambara Mountains, Lushoto district, Tanzania. Am. J. Trop. Med. Hyg. 82:492-500
    • (2010) Am. J. Trop. Med. Hyg. , vol.82 , pp. 492-500
    • Neerinckx, S.1    Peterson, A.T.2    Gulinck, H.3    Deckers, J.4    Kimaro, D.5    Leirs, H.6
  • 79
    • 56349121215 scopus 로고    scopus 로고
    • Geographic distribution and ecological niche of plague in sub-Saharan Africa
    • Neerinckx SB, Peterson AT, GulinckH,DeckersJ,LeirsH.2008. Geographic distribution and ecological niche of plague in sub-Saharan Africa. Int. J. Health Geogr. 7:54
    • (2008) Int. J. Health Geogr. , vol.7 , pp. 54
    • Neerinckx, S.B.1    Peterson, A.T.2
  • 80
    • 0030237964 scopus 로고    scopus 로고
    • Methods for evaluating Lyme disease risks using geographic information systems and geospatial analysis
    • Nicholson MC, Mather TN. 1996. Methods for evaluating Lyme disease risks using geographic information systems and geospatial analysis. J. Med. Entomol. 33:711-20
    • (1996) J. Med. Entomol. , vol.33 , pp. 711-20
    • Nicholson, M.C.1    Mather, T.N.2
  • 81
    • 67649357243 scopus 로고    scopus 로고
    • Shifting suitability for malaria vectors across Africa with warming climates
    • Peterson AT. 2009. Shifting suitability for malaria vectors across Africa with warming climates. BMC Infect. Dis. 9:59
    • (2009) BMC Infect. Dis. , vol.9 , pp. 59
    • Peterson, A.T.1
  • 82
    • 34547923699 scopus 로고    scopus 로고
    • Transferability and model evaluation in ecological niche modeling: A comparison of GARP and Maxent
    • Peterson AT, Papes M, Eaton M. 2007. Transferability and model evaluation in ecological niche modeling: a comparison of GARP and Maxent. Ecography 30:550-60
    • (2007) Ecography , vol.30 , pp. 550-60
    • Peterson, A.T.1    Papes, M.2    Eaton, M.3
  • 84
    • 27944446350 scopus 로고    scopus 로고
    • Maximum entropy modeling of species geographic distributions
    • Phillips SJ, Anderson RP, Schapire RE. 2006. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190:231-59
    • (2006) Ecol. Model. , vol.190 , pp. 231-59
    • Phillips, S.J.1    Anderson, R.P.2    Schapire, R.E.3
  • 85
    • 0029669479 scopus 로고    scopus 로고
    • Temporal and spatial distribution of anopheline mosquitoes in an Ethiopian village: Implications for malaria control strategies
    • Ribeiro JMC, Seulu F, Abose T, Kidane G, Teklehaimanot A. 1996. Temporal and spatial distribution of anopheline mosquitoes in an Ethiopian village: implications for malaria control strategies. Bull. WHO 74:299-305
    • (1996) Bull. WHO , vol.74 , pp. 299-305
    • Jmc, R.1    Seulu, F.2    Abose, T.3    Kidane, G.4    Teklehaimanot, A.5
  • 86
    • 0141829207 scopus 로고    scopus 로고
    • Dengue control in North Queensland, Australia: Case recognition and selective indoor residual spraying
    • Ritchie SA, Hanna JN, Hills SL, Piispanen JP, McBride WJH, et al. 2002. Dengue control in North Queensland, Australia: case recognition and selective indoor residual spraying. Dengue Bull. 26:7-13
    • (2002) Dengue Bull. , vol.26 , pp. 7-13
    • Ritchie, S.A.1    Hanna, J.N.2    Hills, S.L.3    Piispanen, J.P.4    Wjh, M.5
  • 88
    • 0036337036 scopus 로고    scopus 로고
    • An example of decision support for try-panosomiasis control using a geographical information system in eastern Zambia
    • Robinson TP, Harris RS, Hopkins JS, Williams BG. 2002. An example of decision support for try-panosomiasis control using a geographical information system in eastern Zambia. Int. J. Geogr. Inf. Sci. 16:345-60
    • (2002) Int. J. Geogr. Inf. Sci. , vol.16 , pp. 345-60
    • Robinson, T.P.1    Harris, R.S.2    Hopkins, J.S.3    Williams, B.G.4
  • 89
    • 33646154877 scopus 로고    scopus 로고
    • Models for vectors and vector-borne diseases
    • Rogers DJ. 2006. Models for vectors and vector-borne diseases. Adv. Parasitol. 62:1-35
    • (2006) Adv. Parasitol. , vol.62 , pp. 1-35
    • Rogers, D.J.1
  • 90
    • 1842509096 scopus 로고    scopus 로고
    • Studying the global distribution of infectious diseases using GIS and RS
    • Rogers DJ, Randolph SE. 2003. Studying the global distribution of infectious diseases using GIS and RS. Nat. Rev. Microbiol. 1:231-37
    • (2003) Nat. Rev. Microbiol. , vol.1 , pp. 231-37
    • Rogers, D.J.1    Randolph, S.E.2
  • 91
    • 3042806957 scopus 로고    scopus 로고
    • Exploratory temporal and spatial distribution analysis of dengue notifications in Boa Vista, Roraima, Brazilian Amazon, 1999- 2001
    • Rosa-Freitas MG, Tsouris P, Sibajev A, de Souza Weimann ET, Marques AU, et al. 2003. Exploratory temporal and spatial distribution analysis of dengue notifications in Boa Vista, Roraima, Brazilian Amazon, 1999-2001. Dengue Bull. 27:63-80
    • (2003) Dengue Bull. , vol.27 , pp. 63-80
    • Rosa-Freitas, M.G.1    Tsouris, P.2    Sibajev, A.3    De Souza Weimann, E.T.4    Marques, A.U.5
  • 92
    • 34447558377 scopus 로고    scopus 로고
    • Space-time analysis of the dengue spreading dynamics in the 2004 Tartagal outbreak, Northern Argentina
    • Rotela C, Fouque F, Lamfri M, Sabatier P, Introini V, et al. 2007. Space-time analysis of the dengue spreading dynamics in the 2004 Tartagal outbreak, Northern Argentina. Acta Trop. 103:1-13
    • (2007) Acta Trop. , vol.103 , pp. 1-13
    • Rotela, C.1    Fouque, F.2    Lamfri, M.3    Sabatier, P.4    Introini, V.5
  • 93
    • 3042626942 scopus 로고    scopus 로고
    • Environmental and social determinants of human risk during a West Nile virus outbreak in the greater Chicago area, 2002
    • Ruiz M, Tedesco C, McTighe T, Austin C, Kitron U. 2004. Environmental and social determinants of human risk during a West Nile virus outbreak in the greater Chicago area, 2002. Int. J. Health Geogr. 3:8
    • (2004) Int. J. Health Geogr. , vol.3 , pp. 8
    • Ruiz, M.1    Tedesco, C.2    McTighe, T.3    Austin, C.4    Kitron, U.5
  • 94
    • 2542430490 scopus 로고    scopus 로고
    • Not all maps are equal: GIS and spatial analysis in epidemiology
    • Rytkönen MJP. 2004. Not all maps are equal: GIS and spatial analysis in epidemiology. Int. J. Circumpolar Health 63:9-24
    • (2004) Int. J. Circumpolar Health , vol.63 , pp. 9-24
    • Mjp, R.1
  • 95
    • 70349660262 scopus 로고    scopus 로고
    • Application of spatial technology in malaria research and control: Some new insights
    • Saxena R, Nagpal BN, Srivastava A, Gupta SK, Dash AP. 2009. Application of spatial technology in malaria research and control: some new insights. Indian J. Med. Res. 130:125-32
    • (2009) Indian J. Med. Res. , vol.130 , pp. 125-32
    • Saxena, R.1    Nagpal, B.N.2    Srivastava, A.3    Gupta, S.K.4    Dash, A.P.5
  • 96
    • 74049154850 scopus 로고    scopus 로고
    • Vector dynamics and transmission of dengue virus: Implications for dengue surveillance and prevention strategies
    • Scott TW, Morrison AC. 2010. Vector dynamics and transmission of dengue virus: implications for dengue surveillance and prevention strategies. Curr. Top. Microbiol. Immunol. 338:115-28
    • (2010) Curr. Top. Microbiol. Immunol. , vol.338 , pp. 115-28
    • Scott, T.W.1    Morrison, A.C.2
  • 98
    • 54449083919 scopus 로고    scopus 로고
    • The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali
    • Sogoba N, Vounatsou P, Bagayoko MM, Doumbia S, Dolo G, et al. 2007. The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali. Geospat. Health 1:213-22
    • (2007) Geospat. Health , vol.1 , pp. 213-22
    • Sogoba, N.1    Vounatsou, P.2    Bagayoko, M.M.3    Doumbia, S.4    Dolo, G.5
  • 99
    • 55349087943 scopus 로고    scopus 로고
    • Spatial distribution of the chromosomal forms of Anopheles gambiae in Mali
    • Sogoba N, Vounatsou P, Bagayoko MM, Doumbia S, Dolo G, et al. 2008. Spatial distribution of the chromosomal forms of Anopheles gambiae in Mali. Malar. J. 7:205
    • (2008) Malar. J. , vol.7 , pp. 205
    • Sogoba, N.1    Vounatsou, P.2    Bagayoko, M.M.3    Doumbia, S.4    Dolo, G.5
  • 100
    • 0011883525 scopus 로고
    • Oxford: Oxford Univ. Press
    • Sonenshine DE. 1993. Biology of Ticks. Volume 2. Oxford: Oxford Univ. Press. 465 pp.
    • (1993) Biology of Ticks , vol.2 , pp. 465
    • Sonenshine, D.E.1
  • 101
    • 0032903209 scopus 로고    scopus 로고
    • The GARP modelling system: Problems and solutions to automated spatial prediction
    • Stockwell D, Peters D. 1999. The GARP modelling system: problems and solutions to automated spatial prediction. Int. J. Geogr. Inf. Sci. 13:143-58
    • (1999) Int. J. Geogr. Inf. Sci. , vol.13 , pp. 143-58
    • Stockwell, D.1    Peters, D.2
  • 102
    • 1642453833 scopus 로고    scopus 로고
    • Global change and human vulnerability to vector-borne diseases
    • Sutherst RW. 2004. Global change and human vulnerability to vector-borne diseases. Clin. Microbiol. Rev. 17:136-73
    • (2004) Clin. Microbiol. Rev. , vol.17 , pp. 136-73
    • Sutherst, R.W.1
  • 103
    • 67349172694 scopus 로고    scopus 로고
    • Modelling nonequilibrium distributions of invasive species: A tale of two modelling paradigms
    • Sutherst RW, Bourne AS. 2009. Modelling nonequilibrium distributions of invasive species: a tale of two modelling paradigms. Biol. Inv. 11:1231-37
    • (2009) Biol. Inv. , vol.11 , pp. 1231-37
    • Sutherst, R.W.1    Bourne, A.S.2
  • 104
    • 33847765352 scopus 로고    scopus 로고
    • GIS and multiple-criteria evaluation for the optimisation of tsetse fly eradication programmes
    • Symeonakis E, Robinson T, Drake N. 2007. GIS and multiple-criteria evaluation for the optimisation of tsetse fly eradication programmes. Environ. Mon. Assess. 124:89-103
    • (2007) Environ. Mon. Assess. , vol.124 , pp. 89-103
    • Symeonakis, E.1    Robinson, T.2    Drake, N.3
  • 106
    • 0035786909 scopus 로고    scopus 로고
    • New initiatives in dengue control in Singapore
    • Teng TB. 2001. New initiatives in dengue control in Singapore. Dengue Bull. 25:1-6
    • (2001) Dengue Bull. , vol.25 , pp. 1-6
    • Teng, T.B.1
  • 107
    • 37549004754 scopus 로고    scopus 로고
    • Environmental factors and incidence of dengue fever and dengue haemorrhagic fever in an urban area, Southern Thailand
    • Thammapalo S, Chongsuvivatwong V, Geater A, Dueravee M. 2008. Environmental factors and incidence of dengue fever and dengue haemorrhagic fever in an urban area, Southern Thailand. Epidemiol. Infect. 136:135-43
    • (2008) Epidemiol. Infect. , vol.136 , pp. 135-43
    • Thammapalo, S.1    Chongsuvivatwong, V.2    Geater, A.3    Dueravee, M.4
  • 108
    • 0037740016 scopus 로고    scopus 로고
    • Identifying West Nile virus risk areas: The dynamic continuous-area space-time system
    • Theophilides CN, Ahearn SC, Grady S, Merlino M. 2003. Identifying West Nile virus risk areas: the dynamic continuous-area space-time system. Am. J. Epidemiol. 157:843-54
    • (2003) Am. J. Epidemiol. , vol.157 , pp. 843-54
    • Theophilides, C.N.1    Ahearn, S.C.2    Grady, S.3    Merlino, M.4
  • 109
    • 0032799063 scopus 로고    scopus 로고
    • Predicting malaria infection in Gambian children from satellite data and bed net use surveys: The importance of spatial correlation in the interpretation of results
    • Thomson MC, Connor SJ, D'Alessandro U, Rowlingson B, Diggle P, et al. 1999. Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results. Am. J. Trop. Med. Hyg. 61:2-8
    • (1999) Am. J. Trop. Med. Hyg. , vol.61 , pp. 2-8
    • Thomson, M.C.1    Connor, S.J.2    D'Alessandro, U.3    Rowlingson, B.4    Diggle, P.5
  • 111
    • 34848905101 scopus 로고    scopus 로고
    • Use of handheld computers with Global Positioning Systems for probability sampling and data entry in household surveys
    • Vanden Eng JL, Wolkon A, Frolov AS, Terlouw DJ, Eliades MJ, et al. 2007. Use of handheld computers with Global Positioning Systems for probability sampling and data entry in household surveys. Am. J. Trop. Med. Hyg. 77:393-99
    • (2007) Am. J. Trop. Med. Hyg. , vol.77 , pp. 393-99
    • Vanden Eng, J.L.1    Wolkon, A.2    Frolov, A.S.3    Terlouw, D.J.4    Eliades, M.J.5
  • 113
    • 0018875774 scopus 로고
    • A test for detection of clustering over time
    • Wallenstein S. 1980. A test for detection of clustering over time. Am. J. Epidemiol. 111:367-72
    • (1980) Am. J. Epidemiol. , vol.111 , pp. 367-72
    • Wallenstein, S.1
  • 114
    • 33847156386 scopus 로고    scopus 로고
    • Spatio-temporal patterns in county-level incidence and reporting of Lyme disease in the northeastern United States,1990-2000
    • Waller LA, Goodwin BJ, Wilson ML, Ostfeld RS, Marshall SL, Hayes EB. 2007. Spatio-temporal patterns in county-level incidence and reporting of Lyme disease in the northeastern United States, 1990-2000. Environ. Ecol. Stat. 14:83-100
    • (2007) Environ. Ecol. Stat. , vol.14 , pp. 83-100
    • Waller, L.A.1    Goodwin, B.J.2    Wilson, M.L.3    Ostfeld, R.S.4    Marshall, S.L.5    Hayes, E.B.6
  • 116
    • 0019611312 scopus 로고
    • A generalised scan statistic test for the detection of clusters
    • Weinstock MA. 1981. A generalised scan statistic test for the detection of clusters. Int. J. Epidemiol. 10:289-93
    • (1981) Int. J. Epidemiol. , vol.10 , pp. 289-93
    • Ma, W.1
  • 118
    • 47549084824 scopus 로고    scopus 로고
    • International meeting on preventing and controlling plague: The old calamity still has a future
    • WHO
    • WHO. 2006. International meeting on preventing and controlling plague: The old calamity still has a future. Wkly. Epidemiol. Rec. 28:279-84
    • (2006) Wkly. Epidemiol. Rec. , vol.28 , pp. 279-84
  • 120
  • 121
    • 41049097770 scopus 로고    scopus 로고
    • Combining mosquito vector and human disease data for improved assessment of spatial West Nile virus disease risk
    • Winters AM, Bolling BG, Beaty BJ, Blair CD, Eisen RJ, et al. 2008. Combining mosquito vector and human disease data for improved assessment of spatial West Nile virus disease risk. Am. J. Trop. Med. Hyg. 78:654-65
    • (2008) Am. J. Trop. Med. Hyg. , vol.78 , pp. 654-65
    • Winters, A.M.1    Bolling, B.G.2    Beaty, B.J.3    Blair, C.D.4    Eisen, R.J.5
  • 122
    • 77952762979 scopus 로고    scopus 로고
    • Spatial risk assessments based on vector-borne disease epidemiologic data: Importance of scale for West Nile virus disease in Colorado
    • Winters AM, Eisen RJ, Delorey MJ, Fischer M, Nasci RS, et al. 2010. Spatial risk assessments based on vector-borne disease epidemiologic data: importance of scale for West Nile virus disease in Colorado. Am. J. Trop. Med. Hyg. 82:945-53
    • (2010) Am. J. Trop. Med. Hyg. , vol.82 , pp. 945-53
    • Winters, A.M.1    Eisen, R.J.2    Delorey, M.J.3    Fischer, M.4    Nasci, R.S.5
  • 125
    • 60649116930 scopus 로고    scopus 로고
    • Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan
    • Wu PC, Lay JG, Guo HR, Lin CY, Lung SC, Su HJ. 2009. Higher temperature and urbanization affect the spatial patterns of dengue fever transmission in subtropical Taiwan. Sci. Total Environ. 407:2224-33
    • (2009) Sci. Total Environ. , vol.407 , pp. 2224-33
    • Wu, P.C.1    Lay, J.G.2    Guo, H.R.3    Lin, C.Y.4    Lung, S.C.5    Su, H.J.6
  • 126
    • 34548791681 scopus 로고    scopus 로고
    • Spatial relationship between adult malaria vector abundance and environmental factors in western Kenya highlands
    • Zhou G, Munga S, Minakawa N, Githeko AK, Yan G. 2007. Spatial relationship between adult malaria vector abundance and environmental factors in western Kenya highlands. Am. J. Trop. Med. Hyg. 77:29-35
    • (2007) Am. J. Trop. Med. Hyg. , vol.77 , pp. 29-35
    • Zhou, G.1    Munga, S.2    Minakawa, N.3    Githeko, A.K.4    Yan, G.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.