Ascertaining the impact of public rapid transit system on spread of dengue in urban settings

Science of the Total Environment

Volumn 598, Issue , 2017, Pages 1151-1159

  Sanna, Mattia ^a   Hsieh, Ying Hen ^a  

^a CHINA MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Dengue; Mobility; Population density; Taiwan; Transport system; Urban

Indexed keywords

CARRIER MOBILITY; DISEASE CONTROL; LIGHT RAIL TRANSIT; MASS TRANSPORTATION; POPULATION STATISTICS; RAPID TRANSIT; RISK ASSESSMENT; TRAFFIC SURVEYS;

DENGUE; POPULATION DENSITIES; TAIWAN; TRANSPORT SYSTEMS; URBAN;

URBAN TRANSPORTATION;

DENGUE FEVER; MOBILITY; NEIGHBORHOOD; POPULATION DENSITY; PUBLIC TRANSPORT; RISK FACTOR; TRANSPORTATION SYSTEM; URBAN TRANSPORT;

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; CONTROLLED STUDY; DENGUE; DENGUE VIRUS; ENVIRONMENTAL IMPACT; EPIDEMIC; HIGH RISK POPULATION; HUMAN; INCIDENCE; INFECTION RISK; MIGRATION; NEIGHBORHOOD; POPULATION RESEARCH; POPULATION SIZE; POST HOC ANALYSIS; RISK ASSESSMENT; RISK FACTOR; TAIWAN; TRAFFIC AND TRANSPORT; URBAN AREA; VIRUS TRANSMISSION; RAILWAY; RISK; URBANIZATION;

KAOHSIUNG; TAIWAN;

DENGUE; DISEASE OUTBREAKS; HUMANS; RAILROADS; RISK; TAIWAN; TRANSPORTATION; URBANIZATION;

EID: 85018426944     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2017.04.050     Document Type: Article

References (41)

1. Adams, B., Kapan, D.D., Man bites mosquito: understanding the contribution of human movement to vector-borne disease dynamics. PLoS One, 4, 2009, e6763 http://dx.doi.org/10.1371/journal.pone.0006763.
2. Barrett, C.L., Bisset, K.R., Eubank, S.G., Feng, X., Marathe, M.V., EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks. Proceedings of the 2008 ACM/IEEE Conference on Supercomputing 2008, 2008, IEEE Press, 37.
3. Benedict, M.Q., Levine, R.S., Hawley, W.A., Lounibos, L.P., Spread of the tiger: global risk of invasion by the mosquito Aedes albopictus. Vector Borne Zoonotic Dis. 7 (2007), 76–85, 10.1089/vbz.2006.0562.
4. Bhatt, S., Gething, P.W., Brady, O.J., Messina, J.P., Farlow, A.W., Moyes, C.L., Drake, J.M., Brownstein, J.S., Hoen, A.G., Sankoh, O., Myers, M.F., The global distribution and burden of dengue. Nature 496:7446 (2013), 504–507, 10.1038/nature12060.
5. Bitar, D., Goubar, A., Desenclos, J.C., International travels and fever screening during epidemics: a literature review on the effectiveness and potential use of non-contact infrared thermometers. Euro Surveill., 14(6), 2009, 19115.
6. Carrington, L.B., Seifert, S.N., Willits, N.H., Lambrechts, L., Scott, T.W., Large diurnal temperature fluctuations negatively influence Aedes aegypti (Diptera: Culicidae) life-history traits. J. Med. Entomol. 50:1 (2013), 43–51.
7. Chang, Y.P., Jhao, C.C., Wu, Y.C., Ho, L.L., Su, C.F., Review of simplifying border quarantine practice in Taiwan. Taiwan Epidemiol. Bull. 32:24 (2016), 514–524, 10.6525/TEB.20161220.32(24).001 (In Chinese).
8. Colizza, V., Barrat, A., Barthélemy, M., Vespignan, A., Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study. BMC Med., 5, 2007, 34, 10.1186/1741-7015-5-34.
9. Edelson, P.J., Phypers, M., TB transmission on public transportation: a review of published studies and recommendations for contact tracing. Travel Med. Infect. Dis. 9 (2011), 27–31, 10.1016/j.tmaid.2010.11.001.
10. Farajollahi, A., Healy, S.P., Unlu, I., Gaugler, R., Fonseca, D.M., Effectiveness of ultra-low volume nighttime applications of an adulticide against diurnal Aedes albopictus, a critical vector of dengue and chikungunya viruses. PLoS One, 7(11), 2012, e49181.
11. st century. Trop. Med. Health. 39 (2011), S3–S11, 10.2149/tmh.2011-S05.
12. Hartigan, J.A., Wong, M.A., Algorithm AS 136: a k-means clustering algorithm. J. R. Stat. Soc.: Ser. C: Appl. Stat. 28:1 (1979), 100–108, 10.2307/2346830.
13. Horna-Campos, O.J., Sánchez-Pérez, H.J., Sánchez, I., Bedoya, A., Martín, M., Public transportation and pulmonary tuberculosis, Lima, Peru. Emerg. Infect. Dis. 13 (2007), 1491–1493.
14. Hsieh, Y.H., van den Driessche, P., Wang, L., Impact of travel between patches for spatial spread of disease. Bull. Math. Biol. 69 (2007), 1355–1375, 10.1007/s11538-006-9169-6.
15. Hsieh, Y.H., de Arazoza, H., Lounes, R., Temporal trends and regional variability of 2001–2002 multiwave DENV-3 epidemic in Havana City: did Hurricane Michelle contribute to its severity?. Tropical Med. Int. Health 18 (2013), 830–838, 10.1111/tmi.12105.
16. Hsueh, Y.H., Lee, J., Beltz, L., Spatio-temporal patterns of dengue fever cases in Kaohsiung City, Taiwan, 2003–2008. Appl. Geogr. 2012:34 (2012), 587–594, 10.1016/j.apgeog.2012.03.003.
17. Kan, C.C., Lee, P.F., Wen, T.H., Chao, D.Y., Wu, M.H., Lin, N.H., Huang, S.Y.J., Shang, C.S., Fan, I.C., Shu, P.Y., Huang, J.H., Two clustering diffusion patterns identified from the 2001–2003 dengue epidemic, Kaohsiung, Taiwan. Am.J.Trop. Med. Hyg. 79:3 (2008), 344–352.
18. KCGCABU - Civil Affairs Bureau, Kaohsiung City Government, Statistics and data: demographics. Demographic statistics survey: monthly number of households in by districts and Li's in Kaohsiung. http://cabu.kcg.gov.tw/Web/StatRpts/StatRpt1.aspx, 2016 (accessed June 2016). (In Chinese).
19. KCGSTAT - Department of Statistics, Kaohsiung City Government, Official statistics and information database. http://kcgdg.kcg.gov.tw/kcgstat/page/kcg08.aspx, 2016 (accessed June 2016). (In Chinese).
20. Khan, K., Arino, J., Hu, W., Raposo, P., Sears, J., Calderon, F., Heidebrecht, C., Macdonald, M., Liauw, J., Chan, A., Gardam, M., Spread of a novel influenza A (H1N1) virus via global airline transportation. N. Engl. J. Med. 361:2 (2009), 212–214.
21. Lin, C.H., Wen, T.H., Using geographically weighted regression (GWR) to explore spatial varying relationships of immature mosquitoes and human densities with the incidence of dengue. Int. J. Environ. Res. Public Health 8 (2011), 2798–2815, 10.3390/ijerph8072798.
22. Lin, C.H., Schiøler, K.L., Jepsen, M.R., Ho, C.K., Li, S.H., Konradsen, F., Dengue outbreaks in high-income area, Kaohsiung City, Taiwan, 2003–2009. Emerg. Infect. Dis. 18 (2012), 1603–1611, 10.3201/eid1810.111929.
23. Murray, N.E., Quam, M.B., Wilder-Smith, A., Epidemiology of dengue: past, present and future prospects. Clin. Epidemiol. 5 (2013), 299–309, 10.2147/CLEP.S34440.
24. Perchoux, C., Chaix, B., Cummins, S., Kestens, Y., Conceptualization and measurement of environmental exposure in epidemiology: accounting for activity space related to daily mobility. Health Place 21 (2013), 86–93, 10.1016/j.healthplace.2013.01.005.
25. Prothero, R.M., Disease and mobility: a neglected factor in epidemiology. Int. J. Epidemiol. 6 (1977), 259–267, 10.1093/ije/6.3.259.
26. Saba, H., Miranda, J.G.V., de Freitas Jorge, E.M., Moret, M.A., Correlation between transport and occurrence of dengue cases in Bahia. J. Commun. Comput. 11 (2014), 217–221.
27. Saba, H., Miranda, J.G.V., Moret, M.A., Self-organized critical phenomenon as a q-exponential decay—avalanche epidemiology of dengue. Phys. A Stat. Mech. Appl. 413 (2014), 205–211, 10.1016/j.physa.2014.06.045.
28. Stoddard, S.T., Morrison, A.C., Vazquez-Prokopec, G.M., Soldan, V.P., Kochel, T.J., Kitron, U., Elder, J.P., Scott, T.W., The role of human movement in the transmission of vector-borne pathogens. PLoS Negl. Trop. Dis., 3(7), 2009, e481, 10.1371/journal.pntd.0000481.
29. Taiwan CDC - Taiwan Centers for Disease Control, Taiwan National Infectious Disease Statistics System. http://nidss.cdc.gov.tw/en/, 2016 (accessed June 2016).
30. Taiwan MOTC - Taiwan Ministry of Transportation and Communications, GIS-T transport network geographic information storage system. Map and data download service. https://gist.motc.gov.tw/MapDataService/Retrieval, 2016 (accessed May 2016). (In Chinese).
31. Taiwan NDC – Taiwan National Development Council, Government open data platform. Geographic information dataset list. http://data.gov.tw/geodata_shp, 2016 (accessed January 2016). (In Chinese).
32. Taiwan NDC – Taiwan National Development Council, Government open data platform. Daily confirmed dengue case statistic, 1998. http://data.gov.tw/node/21025, 2016 (accessed April 2016). (In Chinese).
33. Tatem, A.J., Rogers, D.J., Hay, S.I., Global transport networks and infectious disease spread. Adv. Parasitol. 62 (2006), 293–343, 10.1016/S0065-308X(05)62009-X.
34. Wang, S.F., Chang, K., Lu, R.W., Wang, W.H., Chen, Y.H., Chen, M., Wu, D.C., Chen, Y.M.A., Large dengue virus type 1 outbreak in Taiwan. Emerg. Microbes Infect., 4(8), 2015, e46, 10.1038/emi.2015.46.
35. Wang, S.F., Wang, W.H., Chang, K., Chen, Y.H., Tseng, S.P., Yen, C.H., Wu, D.C., Chen, Y.M.A., Severe dengue fever outbreak in Taiwan. Am.J.Trop. Med. Hyg. 94:1 (2016), 193–197, 10.4269/ajtmh.15-0422.
36. Wen, T.H., Lin, N.H., Lin, C.H., King, C.C., Su, M.D., Spatial mapping of temporal risk characteristics to improve environmental health risk identification: a case study of a dengue epidemic in Taiwan. Sci. Total Environ. 367 (2006), 631–640, 10.1016/j.scitotenv.2006.02.009.
37. Wen, T.H., Lin, M.H., Fang, C.T., Population movement and vector-borne disease transmission: differentiating spatial–temporal diffusion patterns of commuting and noncommuting dengue cases. Ann. Assoc. Am. Geogr. 102 (2012), 1026–1037, 10.1080/00045608.2012.671130.
38. Wen, T.H., Lin, M.H., Teng, H.J., Chang, N.T., Incorporating the human-Aedes mosquito interactions into measuring the spatial risk of urban dengue fever. Appl. Geogr. 62 (2015), 256–266, 10.1016/j.apgeog.2015.05.003.
39. WHO, TDR - World Health Organization, Special Programme for Research and Training in Tropical Diseases, Dengue: Guidelines for Diagnosis, Treatment, Prevention and Control. 2009, World Health Organization, Geneva.
40. Wilson, M.E., Travel and the emergence of infectious diseases. Emerg. Infect. Dis. 1 (1995), 39–46.
41. Xu, F., McCluskey, C.C., Cressman, R., Spatial spread of an epidemic through public transportation systems with a hub. Math. Biosci. 246 (2013), 164–175, 10.1016/j.mbs.2013.08.014.