The role of environmental factors in the spatial distribution of Japanese encephalitis in mainland China

Environment International

Volumn 73, Issue , 2014, Pages 1-9

  Wang, Liya ^a   Hu, Wenbiao ^b   Soares Magalhaes, Ricardo J ^c   Bi, Peng ^d   Ding, Fan ^e   Sun, Hailong ^a   Li, Shenlong ^a   Yin, Wenwu ^e   Wei, Lan ^f   Liu, Qiyong ^e   Haque, Ubydul ^g   Sun, Yansong ^a   Huang, Liuyu ^a   Tong, Shilu ^b   Clements, Archie C A ^h   Zhang, Wenyi ^a   Li, Chengyi ^a  

^a BEIJING INSTITUTE OF MICROBIOLOGY AND EPIDEMIOLOGY   (China)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^c UNIVERSITY OF QUEENSLAND   (Australia)

^d UNIVERSITY OF ADELAIDE   (Australia)

^e CHINESE CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

^f UNIVERSITY OF HONG KONG   (Hong Kong)

^g JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^h AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

China; Ecological niche model; Japanese encephalitis; MaxEnt

Indexed keywords

ECOLOGY; POPULATION STATISTICS; PUBLIC HEALTH; RISK MANAGEMENT; TRANSMISSIONS;

CHINA; ECOLOGICAL NICHE MODELING; ENVIRONMENTAL FACTORS; ENVIRONMENTAL VARIABLES; JAPANESE ENCEPHALITIS; MAXENT; PREVENTION AND CONTROLS; RECEIVER OPERATING CURVES; AREA UNDER THE CURVES;

RISK MANAGEMENT; HEALTH RISKS;

AREA UNDER THE CURVE; ARTICLE; CHINA; DISEASE TRANSMISSION; ECOLOGICAL NICHE; ENTROPY; ENVIRONMENTAL FACTOR; ENVIRONMENTAL TEMPERATURE; GEOGRAPHIC DISTRIBUTION; HIGH RISK POPULATION; HUMAN; HUMIDITY; INFECTION CONTROL; JAPANESE ENCEPHALITIS; JAPANESE ENCEPHALITIS VIRUS; POPULATION DENSITY; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; ENCEPHALITIS, JAPANESE; ENVIRONMENT; RISK; TEMPERATURE; CLIMATE CHANGE; DISEASE SURVEILLANCE; GEOGRAPHIC ELEVATION; LAND USE; RISK FACTOR;

CHINA; ENCEPHALITIS, JAPANESE; ENVIRONMENT; HUMANS; RISK; TEMPERATURE;

DISEASE TRANSMISSION; ECOLOGICAL MODELING; ENCEPHALITIS; ENVIRONMENTAL FACTOR; NICHE; PUBLIC HEALTH; SPATIAL DISTRIBUTION; SPATIAL VARIATION;

CHINA;

JAPANESE ENCEPHALITIS VIRUS;

EID: 84904871626     PISSN: 01604120     EISSN: 18736750     Source Type: Journal    
DOI: 10.1016/j.envint.2014.07.004     Document Type: Article

References (59)

1. Arboleda S., Jaramillo-O N., Peterson A.T. Mapping environmental dimensions of dengue fever transmission risk in the Aburra Valley, Colombia. Int J Environ Res Public Health 2009, 6(12):3040-3055.
2. Aspinall R. An inductive modeling procedure based on Bayes' theorem for analysis of pattern in spatial data. Int J Geogr Inf Syst 1992, 6:105-121.
3. Bi P., Zhang Y., Parton K.A. Weather variables and Japanese encephalitis in the metropolitan area of Jinan city, China. J Infect 2007, 55:551-556.
4. Bodbyl-Roels S., Peterson A.T., Xiao X. Comparative analysis of remotely-sensed data products via ecological niche modeling of avian influenza case occurrences in Middle Eastern poultry. Int J Health Geogr 2011, 10:21.
5. Campbell G.L., Hills S.L., Fischer M., Jacobson J.A., Hoke C.H., Hombach J.M., et al. Estimated global incidence of Japanese encephalitis: a systematic review. Bull World Health Organ 2011, 89:766-774.
6. Cantor S.B., Sun C.C., Tortolero-Luna G., Richards-Kortum R., Fellen M. A comparison of C/B ratios from studies using receiver operating characteristic curve analysis. J Clin Epidemiol 1999, 52:885-892.
7. Cao M., Feng Z., Zhang J., Ma J., Li X. Contextual risk factors for regional distribution of Japanese encephalitis in the People's Republic of China. Trop Med Int Health 2010, 15:918-923.
8. Dao B.Q., Li K.H., Li N., Yin Z.L., Liu Y.H., Nasci R., et al. High incidence of Japanese encephalitis, southern China. Emerg Infect Dis 2013, 19:672-673.
9. Elith J., Graham C.H., Anderson R.P., Dudik M., Ferrier S., Guisan A., et al. Novel methods improve prediction of species' distributions from occurrence data. Ecography 2006, 29:129-151.
10. Gao X., Nasci R., Liang G. The neglected arboviral infections in mainland China. PLoS Negl Trop Dis 2010, 4:e624.
11. Ghosh D., Basu A. Japanese encephalitis - a pathological and clinical perspective. PLoS Negl Trop Dis 2009, 3:e437.
12. Gonzalez C., Wang O., Strutz S.E., Gonzalez-Salazar C., Sanchez-Cordero V., Sarkar S. Climate change and risk of leishmaniasis in North America: predictions from ecological niche models of vector and reservoir species. PLoS Negl Trop Dis 2010, 4:e585.
13. Gubler D.J., Reiter P., Ebi KL, Yap W., Nasci R., Patz JA Climate variability and change in the United States: potential impacts on vector- and rodent-borne diseases. Environ Health Perspect 2001, 109:223-233.
14. Hay S.I., Myers M.F., Burke D.S., Vaughn D.W., Endy T., Ananda N., et al. Etiology of interepidemic periods of mosquito-borne disease. Proc Natl Acad Sci U S A 2000, 97:9335-9339.
15. Hernandez P.A., Graham C.H., Master L.L., Albert D.L. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 2006, 29:773-785.
16. Holt A.C., Salkeld D.J., Fritz C.L., Tucker J.R., Gong P. Spatial analysis of plague in California: niche modeling predictions of the current distribution and potential response to climate change. Int J Health Geogr 2009, 8:38.
17. Impoinvil D.E., Solomon T., Schluter W.W., Rayamajhi A., Bichha R.P., Shakya G., et al. The spatial heterogeneity between Japanese encephalitis incidence distribution and environmental variables in Nepal. PLoS One 2011, 6:e22192.
18. Jacob B.G., Muturi E.J., Mwangangi J.M., Funes J., Caamano E.X., Muriu S., et al. Remote and field level quantification of vegetation covariates for malaria mapping in three rice agro-village complexes in Central Kenya. Int J Health Geogr 2007, 6:21.
19. Jimenez-Valverde A., Lobo J.M. Threshold criteria for conversion of probability of species presence to either-or presence-absence. Acta Oecol 2007, 31:361-369.
20. Keiser J., Maltese M.F., Erlanger T.E., Bos R., Tanner M., Singer B.H., et al. Effect of irrigated rice agriculture on Japanese encephalitis, including challenges and opportunities for integrated vector management. Acta Trop 2005, 95:40-57.
21. Le Flohic G., Porphyre V., Barbazan P., Gonzalez J.P. Review of climate, landscape, and viral genetics as drivers of the Japanese encephalitis virus ecology. PLoS Negl Trop Dis 2013, 7:e2208.
22. Li M.H., Fu S.H., Chen W.X., Wang H.Y., Guo Y.H., Liu Q.Y., et al. Genotype V Japanese encephalitis virus is emerging. PLoS Negl Trop Dis 2011, 5:e1231.
23. Li W., Guo Q., Elkan C. Can we model the probability of presence of species without absence data?. Ecography 2011, 34:1096-1105.
24. Li Y.X., Li M.H., Fu S.H., Chen W.X., Liu Q.Y., Zhang H.L., et al. Japanese encephalitis, Tibet, China. Emerg Infect Dis 2011, 17:934-936.
25. Liu C.R., Berry P.M., Dawson T.P., Pearson R.G. Selecting thresholds of occurrence in the prediction of species distributions. Ecography 2005, 28:385-393.
26. Masuoka P., Klein T.A., Kim H.C., Claborn D.M., Achee N., Andre R., et al. Modeling the distribution of Culex tritaeniorhynchus to predict Japanese encephalitis distribution in the Republic of Korea. Geospat Health 2010, 5:45-57.
27. McMichael A.J., Woodruff R.E., Hales S. Climate change and human health: present and future risks. Lancet 2006, 367(9513):859-869.
28. Miller R.H., Masuoka P., Klein T.A., Kim H.C., Somer T., Grieco J. Ecological niche modeling to estimate the distribution of Japanese encephalitis virus in Asia. PLoS Negl Trop Dis 2012, 6:e1678.
29. Ministry of Health National surveillance plan for Japanese encephalitis http://wwwmohgovcn/open/uploadfile/2006627153210951doc.
30. Ministry of Health The Ministry of Health announced the 2008 national notifiable infectious diseases http://www.moh.gov.cn/publicfiles/business/htmlfiles/mohbgt/s3582/200902/39079.htm.
31. Mischler P., Kearney M., McCarroll J.C., Scholte R.G., Vounatsou P., Malone J.B. Environmental and socio-economic risk modelling for Chagas disease in Bolivia. Geospat Health 2012, 6:S59-S66.
32. Misra U.K., Kalita J. Overview: Japanese encephalitis. Prog Neurobiol 2010, 91:108-120.
33. Murty U.S., Rao M.S., Arunachalam N. The effects of climatic factors on the distribution and abundance of Japanese encephalitis vectors in Kurnool district of Andhra Pradesh, India. J Vector Borne Dis 2010, 47:26-32.
34. Mutero C.M., Blank H., Konradsen F., van der Hoek Water management for controlling the breeding of Anopheles mosquitoes in rice irrigation schemes in Kenya. Acta Trop 2000, 76:253-263.
35. Nakazawa Y., Lash R.R., Carroll D.S., Damon I.K., Karem K.L., Reynolds M.G., et al. Mapping monkeypox transmission risk through time and space in the Congo Basin. Plos One 2013, 8:e74816.
36. Neerinckx S.B., Peterson A.T., Gulinck H., Deckers J., Leirs H. Geographic distribution and ecological niche of plague in sub-Saharan Africa. Int J Health Geogr 2008, 7:54.
37. Peterson A.T. Ecologic niche modeling and spatial patterns of disease transmission. Emerg Infect Dis 2006, 12:1822-1826.
38. Peterson A.T., Sanchez-Cordero V., Beard C.B., Ramsey J.M. Ecologic niche modeling and potential reservoirs for Chagas disease, Mexico. Emerg Infect Dis 2002, 8:662-667.
39. Peterson A.T., Lash R.R., Carroll D.S., Johnson K.M. Geographic potential for outbreaks of Marburg hemorrhagic fever. Am J Trop Med Hyg 2006, 75:9-15.
40. Phillips S.J. A brief tutorial on MaxEnt http://schistocerca.org/BSC5937/Computer_exercise/Computer%20exercise%204.pdf.
41. Phillips S.J., Dudìk M. Modeling of species distributions with MaxEnt: new extensions and a comprehensive analysis. Ecography 2008, 31:161-175.
42. Phillips S.J., Anderson R.P., Schapire R.E. Maximum entropy modeling of species geographic distributions. Ecol Model 2006, 190:231-259.
43. Phukan A.C., Borah P.K., Mahanta J. Japanese encephalitis in Assam Northeast India, Southeast Asian. J Trop Med Public Health 2004, 35:618-622.
44. Reiter P. Climate change and mosquito-borne disease. Environ Health Perspect 2001, 109:141-161.
45. Russell R.C. Ross River virus: ecology and distribution. Annu Rev Entomol 2002, 47:1-31.
46. Sabesan S., Raju K.H.K., Subramanian S., Srivastava P.K., Jambulingan P. Lymphatic filariasis transmission risk map of India, based on a geo-environmental risk model. Vector Borne Zoo Dis 2013, 13:657-665.
47. Solomon T. Control of Japanese encephalitis-within our grasp?. N Engl J Med 2006, 355:869-871.
48. Sunish I.P., Reuben R. Factors influencing the abundance of Japanese encephalitis vectors in ricefields in India-I. Abiotic. Med Vet Entomol 2001, 15:381-392.
49. Syfert M.M., Smith M.J., Coomes D.A. The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models. PLoS One 2013, 8:e55158.
50. Takahashi M. The effects of environmental and physiological conditions of Culex tritaeniorhynchus on the pattern of transmission of Japanese encephalitis virus. J Med Entomol 1976, 13:275-284.
51. van den Hurk A.F., Ritchie S.A., Mackenzie J.S. Ecology and geographical expansion of Japanese encephalitis virus. Annu Rev Entomol 2009, 54:17-35.
52. Wang L.Y., Zhang W.Y., Ding F., Sun H.L., Yu S.P., Li S.L., et al. Deaths associated with Japanese encephalitis, China, 2005-2010. Clin Infect Dis 2013, 56:752.
53. Wang L.Y., Zhang W.Y., Ding F., Hu W.B., Soares Magalhaes R.J., Sun H.L., et al. Spatiotemporal patterns of Japanese encephalitis in China, 2002-2010. PLoS Negl Trop Dis 2013, 7:e2285.
54. Wei L., Qian Q., Wang Z.Q., Glass G.E., Song S.X., Zhang W.Y., et al. Using geographic information system-based ecologic niche models to forecast the risk of hantavirus infection in Shandong Province, China. Am J Trop Med Hyg 2011, 84:497-503.
55. WHO Fourth Biregional Meeting on the control of Japanese encephalitis http://www.searo.who.int/catalogue/2005-2011/pdf/Japanese%20encephalitis/sea-immun-59.pdf.
56. Williams R.A., Fasina F.O., Peterson A.T. Predictable ecology and geography of avian influenza (H5N1) transmission in Nigeria and West Africa. Trans R Soc Trop Med Hyg 2008, 102:471-479.
57. Woodruff R.E., Guest C.S., Garner M.G., Becker N., Lindesay J., Carvan T., et al. Predicting Ross River virus epidemics from regional weather data. Epidemiology 2002, 13:384-393.
58. Zhang Y., Bi P., Jiang B.F. Climate variability and population health in China updated knowledge, challenges and opportunities. Climate Change-socioeconomic Effects 2011, 81-102.
59. Zheng Y.Y., Li M.H., Wang H.Y., Liang G.D. Japanese encephalitis and Japanese encephalitis virus in mainland China. Rev Med Virol 2012, 22:301-322.