publication . Article . Other literature type . 2014

Modeling tools for dengue risk mapping - a systematic review

Revati Phalkey; Annelies Wilder-Smith;
Open Access English
  • Published: 01 Dec 2014
  • Publisher: Umeå universitet, Epidemiologi och global hälsa
  • Country: Sweden
Abstract
Introduction The global spread and the increased frequency and magnitude of epidemic dengue in the last 50 years underscore the urgent need for effective tools for surveillance, prevention, and control. This review aims at providing a systematic overview of what predictors are critical and which spatial and spatio-temporal modeling approaches are useful in generating risk maps for dengue. Methods A systematic search was undertaken, using the PubMed, Web of Science, WHOLIS, Centers for Disease Control and Prevention (CDC) and OvidSP databases for published citations, without language or time restrictions. A manual search of the titles and abstracts was carried ou...
Subjects
free text keywords: Dengue, Systematic review, Risk mapping, Prediction, Surveillance, Dengue control, Remote sensing, GIS, Spatial, Land cover, Public Health, Global Health, Social Medicine and Epidemiology, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Review, Business, Management and Accounting(all), Computer Science(all)
Funded by
EC| DENGUETOOLS
Project
DENGUETOOLS
Innovative tools and strategies for surveillance and control of dengue
  • Funder: European Commission (EC)
  • Project Code: 282589
  • Funding stream: FP7 | SP1 | HEALTH
39 references, page 1 of 3

1.WHO: Dengue and severe dengue. http://www.who.int/mediacentre/factsheets/fs117/en/

Cattand, P, Desjeux, P, Guzmán, MG, Jannin, J, Kroeger, A, Medici, A, Musgrove, P, Nathan, MB, Shaw, A, Schofield, CJ, Jamison, DT, Breman, JG, Measham, AR, Alleyne, G, Claeson, M, Evans, DB, Jha, P, Mills, A, Musgrove, P. Tropical Diseases Lacking Adequate Control Measures: Dengue, Leishmaniasis, and African Trypanosomiasis. Disease Control Priorities in Developing Countries. 2006

Wilder-Smith, A, Gubler, DJ. Geographic expansion of dengue: the impact of international travel. Med Clin North Am. 2008; 92: 1377-1390 [OpenAIRE] [PubMed] [DOI]

Aström, C, Rocklöv, J, Hales, S, Béguin, A, Louis, V, Sauerborn, R. Potential distribution of dengue fever under scenarios of climate change and economic development. Ecohealth. 2012; 9: 448-454 [OpenAIRE] [PubMed] [DOI]

Banu, S, Hu, W, Hurst, C, Tong, S. Dengue transmission in the Asia-Pacific region: impact of climate change and socio-environmental factors. Trop Med Int Health. 2011; 16: 598-607 [OpenAIRE] [PubMed] [DOI]

Ostfeld, RS, Glass, GE, Keesing, F. Spatial epidemiology: an emerging (or re-emerging) discipline. Trends Ecol Evol (Amst). 2005; 20: 328-336 [OpenAIRE] [PubMed] [DOI]

Liberati, A, Altman, DG, Tetzlaff, J, Mulrow, C, Gøtzsche, PC, Ioannidis, JPA, Clarke, M, Devereaux, PJ, Kleijnen, J, Moher, D. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. J Clin Epidemiol. 2009; 62: e1-e34 [PubMed] [DOI]

Bhatt, S, Gething, PW, Brady, OJ, Messina, JP, Farlow, AW, Moyes, CL, Drake, JM, Brownstein, JS, Hoen, AG, Sankoh, O, Myers, MF, George, DB, Jaenisch, T, Wint, GRW, Simmons, CP, Scott, TW, Farrar, JJ, Hay, SI. The global distribution and burden of dengue. Nature. 2013; 496: 504-507 [OpenAIRE] [PubMed] [DOI]

Caprara, A, Lima, JW, Marinho, ACP, Calvasina, PG, Landim, LP, Sommerfeld, J. Irregular water supply, household usage and dengue: a bio-social study in the Brazilian Northeast. Cad Saude Publica. 2009; 25: S125-S136 [PubMed] [DOI]

Syed, M, Saleem, T, Syeda, U-R, Habib, M, Zahid, R, Bashir, A, Rabbani, M, Khalid, M, Iqbal, A, Rao, EZ, Shujja-ur-Rehman, ᅟ, Saleem, S. Knowledge, attitudes and practices regarding dengue fever among adults of high and low socioeconomic groups. J Pak Med Assoc. 2010; 3: 243-7 [PubMed]

Hii, YL, Zhu, H, Ng, N, Ng, LC, Rocklov, J. Forecast of Dengue Incidence Using Temperature and Rainfall. Plos Neglect Trop Dis. 2012; 6: e1908 [OpenAIRE] [DOI]

Boyer, S, Foray, C, Dehecq, J-S. Spatial and temporal heterogeneities of Aedes albopictus density in La Reunion Island: rise and weakness of entomological indices. PLoS One. 2014; 9: e91170 [OpenAIRE] [PubMed] [DOI]

Machault, V, Vignolles, C, Pagès, F, Gadiaga, L, Tourre, YM, Gaye, A, Sokhna, C, Trape, J-F, Lacaux, J-P, Rogier, C. Risk mapping of Anopheles gambiae s.l. densities using remotely-sensed environmental and meteorological data in an urban area: Dakar, Senegal. PLoS One. 2012; 7: e50674 [OpenAIRE] [PubMed] [DOI]

Dambach, P, Machault, V, Lacaux, JP, Vignolles, C, Sie, A, Sauerborn, R. Utilization of combined remote sensing techniques to detect environmental variables influencing malaria vector densities in rural West Africa. Int J Health Geogr. 2012; 11 (1476-072X (Electronic)): 8-20 [OpenAIRE] [PubMed] [DOI]

Thomas, CJ, Lindsay, SW. Local-scale variation in malaria infection amongst rural Gambian children estimated by satellite remote sensing. Trans R Soc Trop Med Hyg. 2000; 94: 159-163 [PubMed] [DOI]

39 references, page 1 of 3
Abstract
Introduction The global spread and the increased frequency and magnitude of epidemic dengue in the last 50 years underscore the urgent need for effective tools for surveillance, prevention, and control. This review aims at providing a systematic overview of what predictors are critical and which spatial and spatio-temporal modeling approaches are useful in generating risk maps for dengue. Methods A systematic search was undertaken, using the PubMed, Web of Science, WHOLIS, Centers for Disease Control and Prevention (CDC) and OvidSP databases for published citations, without language or time restrictions. A manual search of the titles and abstracts was carried ou...
Subjects
free text keywords: Dengue, Systematic review, Risk mapping, Prediction, Surveillance, Dengue control, Remote sensing, GIS, Spatial, Land cover, Public Health, Global Health, Social Medicine and Epidemiology, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Review, Business, Management and Accounting(all), Computer Science(all)
Funded by
EC| DENGUETOOLS
Project
DENGUETOOLS
Innovative tools and strategies for surveillance and control of dengue
  • Funder: European Commission (EC)
  • Project Code: 282589
  • Funding stream: FP7 | SP1 | HEALTH
39 references, page 1 of 3

1.WHO: Dengue and severe dengue. http://www.who.int/mediacentre/factsheets/fs117/en/

Cattand, P, Desjeux, P, Guzmán, MG, Jannin, J, Kroeger, A, Medici, A, Musgrove, P, Nathan, MB, Shaw, A, Schofield, CJ, Jamison, DT, Breman, JG, Measham, AR, Alleyne, G, Claeson, M, Evans, DB, Jha, P, Mills, A, Musgrove, P. Tropical Diseases Lacking Adequate Control Measures: Dengue, Leishmaniasis, and African Trypanosomiasis. Disease Control Priorities in Developing Countries. 2006

Wilder-Smith, A, Gubler, DJ. Geographic expansion of dengue: the impact of international travel. Med Clin North Am. 2008; 92: 1377-1390 [OpenAIRE] [PubMed] [DOI]

Aström, C, Rocklöv, J, Hales, S, Béguin, A, Louis, V, Sauerborn, R. Potential distribution of dengue fever under scenarios of climate change and economic development. Ecohealth. 2012; 9: 448-454 [OpenAIRE] [PubMed] [DOI]

Banu, S, Hu, W, Hurst, C, Tong, S. Dengue transmission in the Asia-Pacific region: impact of climate change and socio-environmental factors. Trop Med Int Health. 2011; 16: 598-607 [OpenAIRE] [PubMed] [DOI]

Ostfeld, RS, Glass, GE, Keesing, F. Spatial epidemiology: an emerging (or re-emerging) discipline. Trends Ecol Evol (Amst). 2005; 20: 328-336 [OpenAIRE] [PubMed] [DOI]

Liberati, A, Altman, DG, Tetzlaff, J, Mulrow, C, Gøtzsche, PC, Ioannidis, JPA, Clarke, M, Devereaux, PJ, Kleijnen, J, Moher, D. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. J Clin Epidemiol. 2009; 62: e1-e34 [PubMed] [DOI]

Bhatt, S, Gething, PW, Brady, OJ, Messina, JP, Farlow, AW, Moyes, CL, Drake, JM, Brownstein, JS, Hoen, AG, Sankoh, O, Myers, MF, George, DB, Jaenisch, T, Wint, GRW, Simmons, CP, Scott, TW, Farrar, JJ, Hay, SI. The global distribution and burden of dengue. Nature. 2013; 496: 504-507 [OpenAIRE] [PubMed] [DOI]

Caprara, A, Lima, JW, Marinho, ACP, Calvasina, PG, Landim, LP, Sommerfeld, J. Irregular water supply, household usage and dengue: a bio-social study in the Brazilian Northeast. Cad Saude Publica. 2009; 25: S125-S136 [PubMed] [DOI]

Syed, M, Saleem, T, Syeda, U-R, Habib, M, Zahid, R, Bashir, A, Rabbani, M, Khalid, M, Iqbal, A, Rao, EZ, Shujja-ur-Rehman, ᅟ, Saleem, S. Knowledge, attitudes and practices regarding dengue fever among adults of high and low socioeconomic groups. J Pak Med Assoc. 2010; 3: 243-7 [PubMed]

Hii, YL, Zhu, H, Ng, N, Ng, LC, Rocklov, J. Forecast of Dengue Incidence Using Temperature and Rainfall. Plos Neglect Trop Dis. 2012; 6: e1908 [OpenAIRE] [DOI]

Boyer, S, Foray, C, Dehecq, J-S. Spatial and temporal heterogeneities of Aedes albopictus density in La Reunion Island: rise and weakness of entomological indices. PLoS One. 2014; 9: e91170 [OpenAIRE] [PubMed] [DOI]

Machault, V, Vignolles, C, Pagès, F, Gadiaga, L, Tourre, YM, Gaye, A, Sokhna, C, Trape, J-F, Lacaux, J-P, Rogier, C. Risk mapping of Anopheles gambiae s.l. densities using remotely-sensed environmental and meteorological data in an urban area: Dakar, Senegal. PLoS One. 2012; 7: e50674 [OpenAIRE] [PubMed] [DOI]

Dambach, P, Machault, V, Lacaux, JP, Vignolles, C, Sie, A, Sauerborn, R. Utilization of combined remote sensing techniques to detect environmental variables influencing malaria vector densities in rural West Africa. Int J Health Geogr. 2012; 11 (1476-072X (Electronic)): 8-20 [OpenAIRE] [PubMed] [DOI]

Thomas, CJ, Lindsay, SW. Local-scale variation in malaria infection amongst rural Gambian children estimated by satellite remote sensing. Trans R Soc Trop Med Hyg. 2000; 94: 159-163 [PubMed] [DOI]

39 references, page 1 of 3
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