2017, Number 1
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salud publica mex 2017; 59 (1)
Effects of climatic and social factors on dengue incidence in Mexican municipalities in the state of Veracruz
Moreno-Banda Gl, Riojas-Rodríguez H, Hurtado-Díaz M, Danis-Lozano R, Rothenberg SJ
Language: English
References: 70
Page: 41-52
PDF size: 894.58 Kb.
ABSTRACT
Objective. To assess links between the social variables and
longer-term El Niño-Southern Oscillation (ENSO) related
weather conditions as they relate to the week-to-week
changes in dengue incidence at a regional level.
Materials
and methods. We collected data from 10 municipalities of
the Olmeca region in México, over a 10 year period (January
1995 to December 2005). Negative binomial models with
distributed lags were adjusted to look for associations between
changes in the weekly incidence rate of dengue fever
and climate variability.
Results. Our results show that it
takes approximately six weeks for sea surface temperatures
(SST -34) to affect dengue incidence adjusted by weather and
social variables.
Conclusion. Such models could be used
as early as two months in advance to provide information to
decision makers about potential epidemics. Elucidating the
effect of climatic variability and social variables, could assist
in the development of accurate early warning systems for
epidemics like dengue, Chikungunya and Zika.
REFERENCES
World Health Organization. Dengue factsheet, 2015. Geneva: WHO, 2015 [accessed: May 1, 2015]. Available at: http://www.who.int/mediacentre/ factsheets/fs117/en/
Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature 2013;496(7446):504-507. http://doi.org/k4n
Thai KTD, Anders KL. The role of climate variability and change in the transmission dynamics and geographic distribution of dengue. Exp Biol Med 2011;236:(8)944-954. http://doi.org/btmmcc
Ortiz PL, Rivero A, Linares Y, Pérez A, Vázquez JR. Spatial models for prediction and early warning of Aedes aegypti proliferation from data in climate change and variability in Cuba. MEDICC Review 2015;17(2):20-28.
Banu S, Guo Y, Hu W, Dale P, Mackenzie JS, Mengersen K, et al. Impacts of El Niño Southern Oscillation and Indian Ocean Dipole on dengue incidence in Bangladesh. Nature 2014;5:1-9. http://doi.org/bqzx
Naish S, Dale P, Mackenzie JS, McBride J, Mengersen K, Tong S. Climate change and dengue: a critical and systematic review of quantitative modelling approaches. BMC Infect Dis 2014;14:167. http://doi.org/bqzz
Stewart-Ibarra AM, Lowe R. Climate and non-climate drivers of dengue epidemics in southern coastal Ecuador. Am J Trop Med Hyg 2013;88(5):971-981. http://doi.org/bqz2
Cólon-González FJ, Fezzi C, Lake IR, Hunter PR. The effects of weather and climate change on dengue. PLos Negl Trop Dis 2013;7(11):e2503-10. http://doi.org/bqz3
Colón-González FJ, Lake IR, Bentham G. Climate variability and dengue fever in warm and humid Mexico. Am J Trop Med Hyg 2011;84(5):757-763. http://doi.org/ddnz5z
Fuller DO, Troyo A, Beier JC. El Niño Southern Oscillation and vegetation dynamics as predictors of dengue fever cases in Costa Rica. Environ Res Lett 2009;4:140111-140118. http://doi.org/c8szwq
Johansson MA, Dominici F, Glass GE. Local and global effects of climate on dengue transmission in Puerto Rico. PLoS Negl Trop Dis 2009;3(2):e382. http://doi.org/fdw6n8
Brunkard JM, Cifuentes E, Rothenberg SJ. Assessing the roles of temperature, precipitation, and ENSO in dengue re-emergence on Texas- Mexico border region. Salud Publica Mex 2008;50(3):227-234. http://doi. org/d84jtt
Zell R, Krumbholz A, Wutzler P. Impact of global warming on viral diseases: what is the evidence? Curr Opin Biotechnol 2008;19(6):652-660. http://doi.org/c8ntg6
Hurtado-Díaz M, Riojas-Rodríguez H, Rothenberg SJ, Gomez-Dantés H, Cifuentes-García E. Impact of climate variability on the incidence of dengue in Mexico. Trop Med Int Health 2007;12(11):1327-1337. http://doi. org/dm7c6x
Ortiz Bultó PL, Pérez A, Rivero A, León N, Díaz M, Pérez A. Assessment of human health and vulnerability to climate variability and change in Cuba. Environ Health Perspect 2006; 114(12):1942-1949. http://doi.org/fft8w4
Reiter P. Climate change and mosquito-borne disease. Environ Health Perspect 2001; 109 Supp1: 141-161. http://doi.org/fwwx99
Jetten TH, Focks DA. Potential changes in the distribution of dengue transmission under climate warming. Am J Trop Med Hyg 1997;57(3):285-297.
Shope R. Global climate change and infectious diseases. Environ Health Perspect 1991;96:171-174. http://doi.org/dr3cb5
Patz JA, Epstein PR, Burke TA, Balbus JM. Global climate change and emerging infectious diseases. JAMA 1996;275(3):217-223. http://doi.org/ d5hbc8
Anyamba A, Linthicum KJ, Small JL, Collins KM, Tucker CJ, Pak EW, et al. Climate teleconnections and recent patterns of human and animal disease outbreaks. PLoS Negl Trop Dis 2012;6(1):e1465. http://doi.org/fxqs73
Barrera R, Amador M, Clark GG. Use of the pupal survey technique for measuring Aedes aegypti (Diptera: Culicidae) productivity in Puerto Rico. Am J Trop Med Hyg 2006;74(2): 290-302.
Montgomery BL, Ritchie SA. Roof gutters: a key container for Aedes aegypti and Ochlerotatus notoscriptus (Diptera:Culicidae) in Australia. Am J Trop Med Hyg 2002;67(3): 244-246.
Moore CB, Cline BL, Ruiz-Tiben E, Lee D, Romney-Joseph H, Rivera- Correa E. Aedes aegypti in Puerto Rico: environmental determinants of larval abundance and relation to dengue virus transmission. Am J Trop Med Hyg 1978;27(6):1225-1231.
Mohammed A, Chadee DD. Effects of different temperature regimens on the development of Aedes aegypti (L.) (Diptera: Culicidae) mosquitoes. Acta Trop 2011;119(1):38-43. http://doi.org/cprr53
Tun-Lin W, Burkot TR, Kay BH. Effects of temperature and larval diet on development rates and survival of the dengue vector Aedes aegypti in north Queensland, Australia. Med Vet Entomol 2000;14(1):31-37. http:// doi.org/fm5h96
Rueda LM, Patel KJ, Axtell RC, Stinner RE. Temperature-dependent development and survival rates of Culex quinquefasciatus and Aedes aegypti (Diptera: Culicidae). J Med Entomol 1990;27(5):892-898. http:// doi.org/bqz4
Yasuno M, Tonn RJ. A study of biting habits of Aedes aegypti in Bangkok, Thailand. Bull World Health Organ 1970;43(2):319-325.
Delatte H, Gimonneau G, Triboire A, Fontenille D. Influence of temperature on immature development, survival, longevity, fecundity, and gonotrophic cycles of Aedes albopictus, vector of chikungunya and dengue in the Indian Ocean. J Med Entomol 2009;46(1):33-41. http://doi. org/d37r2z
Watts DM, Burke DS, Harrison BA, Whitmire RE, Nisalak A. Effect of temperature on the vector efficiency of Aedes aegypti for dengue 2 virus. Am J Trop Med Hyg 1987;36(1):143-152.
Poveda G, Rojas W, Quiñones ML, Vélez ID, Mantilla RI, Ruiz D, et al. Coupling between annual and ENSO timescales in the malaria–climate association in Colombia. Environ Health Perspect 2001;109(5):489-493. http://doi.org/d8mhrz
Ferreria MC. Geographical distribution of the association between El Niño South Oscillation and dengue fever in the Americas: a continental analysis using geographical information system-based techniques. Geospatial Health 2014;9(1):141-151. http://doi.org/bqz5
Earnest A, Tan SB, Wilder-Smith A. Meteorological factors and El Niño Southern Oscillation are independently associated with dengue infections. Epidemiol Infect 2012;140(7):1244-1251. http://doi.org/d86htx
Nagao Y, Thavara U, Chitnumsup P, Tawatsin A, Chansang C, Campbell- Lendrum D. Climatic and social risk factors for Aedes infestation in rural Thailand. Trop Med Int Health 2003;8(7):650-659. http://doi.org/d4tbbs
Mondini A, Chiaravalloti-Neto F. Socioeconomic variables and dengue transmission. Rev Saúde Publica 2007;41(6):923-930. http://doi.org/ctn8gn
Reiter P, Lathrop S, Bunning M, Biggerstaff B, Singer D, Tiwari T, et al. Texas lifestyle limits transmission of dengue virus. Emerg Infect Dis 2003;9(1):86-89. http://doi.org/bqz6
Brunkard JM, Robles-López JL, Ramírez J, Cifuentes E, Rothenberg SJ, Hunsperger EA, et al. Dengue fever seroprevalence and risk factors, Texas- Mexico border, 2004. Emerg Infect Dis 2007;13(10):1477-1483. http://doi. org/bk8b
Dirección General de Epidemiología (DGE) 2014. Anuarios de morbilidad 1995 al 2005. Sistema Único de Información para la Vigilancia Epidemiológica/ SSA (SUIVE). DGE, 2014 [accessed Feb 10, 2015]. Available at: http://www.epidemiologia.salud.gob.mx/dgae/infoepid/inicio_anuarios.html
Bhatnagar S, Lai V, Gupta SD, Gupta OP. Forecasting incidence of dengue in Rajasthan using time series analyses. Indian J Public Health 2012;56(4):281-285. http://doi.org/bqz7
Tong S, Hu W. Climate variation and incidence of Ross River Virus in Cairns, Australia: A Time-series analysis. Environ Health Perspect 2001;109(12):1271-1273. http://doi.org/cdd9h4
Instituto Nacional de Estadística y Geografía (INEGI) 2011. Data base. Censo de Población y Vivienda 2010. INEGI, 2011 [accessed: Sep 21, 2013]. Available at: http://www.censo2010.org.mx/
Servicio Meteorológico Nacional (SMN) 2006. Data base. Estaciones Meteorológicas y Estación Sinóptica Meteorológica Automáticas 1995 al 2005 [accessed Feb 5, 2006]. Available at: http://smn.cna.gob.mx/es/climatologia and http://smn.cna.gob.mx/es/emas
National Oceanic and Atmospheric Administration (NOAA) 2009. Data base. Global temperatures well above average; slightly above-average for U.S. NOAA, 2009 [accessed Dec 3, 2009]. Available at: http://www. noaanews.noaa.gov/stories2009/20091208_globalstats.html
Dirección General Adjunta de Epidemiología (DGE) 2005 [accessed Jul 22, 2013]. Available at: http://www.epidemiologia.salud.gob.mx/dgae
Instituto Nacional de Estadística y Geografía (INEGI) 2006. Data base. II Conteo de Población y Vivienda 2005. Veracruz, Ver. INEGI, 2006 [accessed Sep 21, 2013]. Available at: http://www.inegi.org.mx/
Instituto Nacional de Estadística y Geografía (INEGI) 2001. Data base. XII Censo General de Población y Vivienda, 2000. Veracruz, Ver. INEGI, 2001 [accessed Sep 21, 2013]. http://www.inegi.org.mx/
Instituto Nacional de Estadística y Geografía (INEGI) 1996. Data base. I Conteo de Población y Vivienda 1995. Veracruz, Ver. INEGI, 1996 [accessed Sep 21, 2013]. Available at: http://www.inegi.org.mx/
Instituto Nacional de Estadística y Geografía (INEGI) 1992. Data base. XI Censo General de Población y Vivienda, 1990. Veracruz, Ver. INEGI, 1992 [accessed Sep 21, 2013]. Available at: http://www.inegi.org.mx/
Consejo Nacional de Evaluación de la Política de Desarrollo Social (CONEVAL) 2006. Data base. Índice de rezago social 2005 a nivel municipal y por localidad. CONEVAL, 2006 [accessed May 14, 2015]. Available at: http://www.coneval.org.mx/Medicion/IRS/Paginas/Indice-de-rezagosocial- 2005.aspx
Consejo Nacional de Población (Conapo) 2015. Data base. Índice de marginación por entidad federativa 1990-2015. Conapo, 2015 [accessed May 15, 2016]. Available at: http://www.conapo.gob.mx/es/CONAPO/Datos_ Abiertos_del_Indice_de_Marginacion
Consejo Nacional de Población (Conapo) 2015. Data base. Índice de marginación por municipio 1990-2015. Conapo, 2015 [accessed May 15, 2016]. Available at: http://www.conapo.gob.mx/es/CONAPO/Datos_Abiertos_ del_Indice_de_Marginacion
Said S, Dickey D. Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika 1984;71(3):599-607. http://doi. org/fjngds
Newton HJ. A time series analysis laboratory. Pacific Grove. California: Wads-worth & Brooks ⁄ Cole Publishing Company, 1996.
Hales S, Weinstein P, Souares Y, Woodward A. El Nino and the dynamics of vector borne disease transmission. Environ Health Perspect 1999;107(2):99-102.
Uriel E. Análisis de series temporales. 2ª Edición. Madrid: Modelos ARIMA Paraninfo, 1992.
Durbán M. An introduction to smoothing with penalties: P-splines. Boletín de Estadística e Investigación Operativa 2009;25(3):195-205.
Royston P, Sauerbrei W. Multivariable modeling with cubic regression splines: A principled approach. Stata Journal 2007;7(1):45-70.
Dear K, Ranmuthugala G, Kjellström T, Skinner C, Hanigan I. Effects of temperature and ozone on daily mortality during the August 2003 heat wave in France. Archives of environmental & occupational health 2010;60(4):205-212. http://doi.org/bt6g3h
Romer D. Advanced Macroeconomics. 4th ed. New York: McGraw-Hill, 2012.
Depradine CA, Lovell EH. Climatological variables and the incidence of dengue fever in Barbados. Int J Environ Res 2004;14(6):429-441. http:// doi.org/ft6qkr
Hsieh YH, Chen SWS. Turning points, reproduction number, and impact of climatological events on multi-wave dengue outbreaks. Trop Med Int Health 2009;14(6):628-638. http://doi.org/dh8bt6
Gómez-Dantés H. Elementos económicos y políticos que impactan en el control del dengue en México. Salud Publica Mex 2007;49:117-119.
Jones KE, Patel NG, Levy MA, Storeygard A, Balk D, Gittleman JL, et al. Global trends in emerging infectious diseases. Nature 2008;451(7181):990-994. http://doi.org/cbxh9h
Hopp MJ, Foley JA. Worldwide fluctuations in dengue fever cases related to climate variability. Climate Research 2003;25(1):85-94. http:// doi.org/bt6vsm
IPCC, Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. New York, NY, USA. Cambridge, United Kingdom: Cambridge University Press, 2014:1132.
Morin CW, Comrie AC, Ernst KC. Climate and dengue transmission: evidence and implications. Environ Health Perspect 2013;121(11-12):1264- 1272. http://doi.org/bqz8
Lu L, Lin H, Tian L, Yang W, Sun J, Liu Q. Time series analysis of dengue fever and weather in Guangzhou, China. BMC Publ Health 2009;9:395. http://doi.org/c3m9x4
Wu PC, Guo HR, Lung SC, Lin CY, Su HJ. Weather as an effective predictor for occurrence of dengue fever in Taiwan. Acta Trop 2007;103:(1)50-57. http://doi.org/fhtjh6
Cazelles B, Chavez M, McMichael AJ, Hales S. Nonstationary influence of El Nino on the synchronous dengue epidemics in Thailand. PLoS Med 2005;2(4):e106. http://doi.org/ftw9z8
Patz JA, McGeehin MA, Bernard SM, Ebi KL, Epstein PR, Grambsch A, et al. The potential health impacts of climate variability and change for the U.S.: Executive summary of the report of the Health Sector of the U. S. National Assessment. Environ Health Perspect 2000;108(4):367-376. http://doi.org/bshqhp
Bai L, Morton LC, Liu Q. Climate change and mosquito-borne diseases in China: a review. Global Health 2013;9:10. http://doi.org/bqz9