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    Zhang, Ying Hansen, Alana and Bi, Peng 2013. Viral Infections and Global Change.


    Furuichi, Mieko Makie, Toshio Honma, Yasuko Isoda, Takayoshi and Miyake, Satoru 2015. Laboratory-Confirmed Dengue Fever and Chikungunya Fever Cases at the Narita Airport Quarantine Station in 2013. Japanese Journal of Infectious Diseases, Vol. 68, Issue. 2, p. 142.


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Geographical gradient of mean age of dengue haemorrhagic fever patients in northern Thailand

  • Y. NAGAO (a1), A. TAWATSIN (a2), S. THAMMAPALO (a3) and U. THAVARA (a2)
  • DOI: http://dx.doi.org/10.1017/S0950268811000653
  • Published online: 09 May 2011
Abstract
SUMMARY

Dengue haemorrhagic fever (DHF) is caused by dengue virus transmitted by Aedes mosquitoes; mean age of patients varies temporally and geographically. Variability in age of patients may be due to differences in transmission intensity or demographic structure. To compare these two hypotheses, the mean age of DHF patients from 90 districts in northern Thailand (1994–1996, 2002–2004) was regressed against (i) Aedes abundance or (ii) demographic variables (birthrate, average age) of the district. We also developed software to quantify direction and strength of geographical gradients of these variables. We found that, after adjusting for socioeconomics, climate, spatial autocorrelation, the mean age of patients was correlated only with Aedes abundance. The geographical gradient of mean age of patients originated from entomological, climate, and socioeconomic gradients. Vector abundance was a stronger determinant of mean age of patients than demographic variables, in northern Thailand.

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Copyright
The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence <http://creativecommons.org/licenses/by-nc-sa/2.5/>. The written permission of Cambridge University Press must be obtained for commercial re-use.
Corresponding author
*Author for correspondence: Dr Y. Nagao, Yao Tokushukai General Hospital, Osaka, 581-0011Japan. (Email: in_the_pacific214@yahoo.co.jp)
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2.BH Lambdin , Dry season production of filariasis and dengue vectors in American Samoa and comparison with wet season production. American Journal of Tropical Medicine and Hygiene 2009; 81: 10131019.

3.Y Higa , Geographic distribution of Aedes aegypti and Aedes albopictus collected from used tires in Vietnam. Journal of the American Mosquito Control Association 2010; 26: 19.

6.D Guha-Sapir , B Schimmer . Dengue fever: new paradigms for a changing epidemiology. Emerging Themes in Epidemiology 2005; 2: 1.

7.MG Teixeira , Recent shift in age pattern of dengue hemorrhagic fever, Brazil. Emerging Infectious Diseases 2008; 14: 1663.

8.EE Ooi , KT Goh , DN Chee Wang . Effect of increasing age on the trend of dengue and dengue hemorrhagic fever in Singapore. International Journal of Infectious Diseases 2003; 7: 231232.

9.JR Egger , Reconstructing historical changes in the force of infection of dengue fever in Singapore: implications for surveillance and control. Bulletin of the World Health Organization 2008; 86: 187196.

10.O Chareonsook , Changing epidemiology of dengue hemorrhagic fever in Thailand. Epidemiology and Infection 1999; 122: 161166.

11.Y Nagao , K Koelle . Decreases in dengue transmission may act to increase the incidence of dengue hemorrhagic fever. Proceedings of the National Academy of Sciences USA 2008; 105: 22382243.

12.S Thammapalo , Relationship between transmission intensity and incidence of dengue hemorrhagic fever in Thailand. PLoS Neglected Tropical Diseases 2008; 2: e263.

13.RM Anderson , RM May . Infectious Diseases of Humans: Dynamics and Control. Oxford: Oxford University Press, 1991.

14.RA Hawkes . Enhancement of the infectivity of arboviruses by specific antisera produced in domestic fowls. Australian Journal of Experimental Biology and Medical Science 1964; 42: 465482.

16.DA Cummings , The impact of the demographic transition on dengue in Thailand: insights from a statistical analysis and mathematical modeling. PLoS Medicine 2009; 6: e1000139.

17.Y Nagao , Climatic and social risk factors for Aedes infestation in rural Thailand. Tropical Medicine and International Health 2003; 8: 650659.

22.JM Spiegel , Social and environmental determinants of Aedes aegypti infestation in Central Havana: results of a case-control study nested in an integrated dengue surveillance programme in Cuba. Tropical Medicine and International Health 2007; 12: 503510.

23.A Mondini , F Chiaravalloti-Neto . Spatial correlation of incidence of dengue with socioeconomic, demographic and environmental variables in a Brazilian city. Science of the Total Environment 2008; 393: 241248.

26.LH Chang , Differential survival of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) larvae exposed to low temperatures in Taiwan. Journal of Medical Entomology 2007; 44: 205210.

28.SA Juliano , Desiccation and thermal tolerance of eggs and the coexistence of competing mosquitoes. Oecologia 2002; 130: 458469.

29.HM Yang , Assessing the effects of temperature on the population of Aedes aegypti, the vector of dengue. Epidemiology and Infection 2009; 137: 11881202.

30.BW Alto , SA Juliano . Precipitation and temperature effects on populations of Aedes albopictus (Diptera: Culicidae): implications for range expansion. Journal of Medical Entomology 2001; 38: 646656.

32.HL Penman . Natural evaporation from open water, hare soil and grass. Proceedings of the Royal Society of London, Series A 1948; 193: 120145.

35.L Anselin , S Hudak . Spatial econometrics in practice. A review of software options. Regional Science and Urban Economics 1992; 22: 509536.

36.EE Ooi , Dengue seroepidemiology in Singapore. Lancet 2001; 357: 685686.

37.MP Mammen , Spatial and temporal clustering of dengue virus transmission in Thai villages. PLoS Medicine 2008; 5: e205.


40.Y Tsuda , Different spatial distribution of Aedes aegypti and Aedes albopictus along an urban-rural gradient and the relating environmental factors examined in three villages in northern Thailand. Journal of the American Mosquito Control Association 2006; 22: 222228.

41.AE Carbajo , Dengue transmission risk maps of Argentina. Tropical Medicine and International Health 2001; 6: 170183.

42.P Jokelainen , Toxoplasma gondii in wild cervids and sheep in Finland: north-south gradient in seroprevalence. Veterinary Parasitology; 171: 331336.

43.L McKinnon , Lower predation risk for migratory birds at high latitudes. Science; 327: 326327.

45.DA Cummings , Travelling waves in the occurrence of dengue haemorrhagic fever in Thailand. Nature 2004; 427: 344347.

47.CA Marques , OP Forattini , E Massad . The basic reproduction number for dengue fever in Sao Paulo state, Brazil: 1990–1991 epidemic. Transactions of the Royal Society of Tropical Medicine and Hygiene 1994; 88: 5859.

48.NM Ferguson , CA Donnelly , RM Anderson . Transmission dynamics and epidemiology of dengue: insights from age-stratified sero-prevalence surveys. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 1999; 354: 757768.

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Keywords:

Type Description Title
UNKNOWN
Supplementary Figure 3 - R0 over mean age

Nagao Supplementary Figure 3
Nagao Supplementary Figure 3 - R0 over mean age

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Supplementary Materials

Nagao Supplementary Material
Nagao Supplementary Material

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Supplementary Figure 4 - Polar Coordinate

Nagao Supplementary Figure 4
Nagao Supplementary Figure 4 - Polar Coordinate

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Supplementary Figure 1 - Histograms

Nagao Supplementary Figure 1
Nagao Supplementary Figure 1 - Histograms

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Supplementary Figure 2 - Regression Plots

Nagao Supplementary Figure 2
Nagao Supplementary Figure 2 - Regression Plots

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