ENSO and cholera: A nonstationary link related to climate change?

We present here quantitative evidence for an increased role of interannual climate variability on the temporal dynamics of an infectious disease. The evidence is based on time-series analyses of the relationship between El Niño/Southern Oscillation (ENSO) and cholera prevalence in Bangladesh (formerly Bengal) during two different time periods. A strong and consistent signature of ENSO is apparent in the last two decades (1980–2001), while it is weaker and eventually uncorrelated during the first parts of the last century (1893–1920 and 1920–1940, respectively). Concomitant with these changes, the Southern Oscillation Index (SOI) undergoes shifts in its frequency spectrum. These changes include an intensification of the approximately 4-yr cycle during the recent interval as a response to the well documented Pacific basin regime shift of 1976. This change in remote ENSO modulation alone can only partially serve to substantiate the differences observed in cholera. Regional or basin-wide changes possibly linked to global warming must be invoked that seem to facilitate ENSO transmission. For the recent cholera series and during specific time intervals corresponding to local maxima in ENSO, this climate phenomenon accounts for over 70% of disease variance. This strong association is discontinuous in time and can only be captured with a technique designed to isolate transient couplings.

[1]  Mercedes Pascual,et al.  Seasonal and interannual cycles of endemic cholera in Bengal 1891–1940 in relation to climate and geography , 2001, Hydrobiologia.

[2]  Dennis L. Hartmann Tropical Surprises , 2002, Science.

[3]  Junye Chen,et al.  Evidence for Strengthening of the Tropical General Circulation in the 1990s , 2002, Science.

[4]  J. Houghton,et al.  Climate change 2001 : the scientific basis , 2001 .

[5]  X. Rodó Reversal of three global atmospheric fields linking changes in SST anomalies in the Pacific, Atlantic and Indian oceans at tropical latitudes and midlatitudes , 2001 .

[6]  S. Huq Climate Change and Bangladesh , 2001, Science.

[7]  M. Mccarthy Uncertain impact of global warming on disease , 2001, The Lancet.

[8]  Prashant D. Sardeshmukh,et al.  The effect of ENSO on the intraseasonal variance of surface temperatures in winter , 2000 .

[9]  J. Overpeck,et al.  Influence of mean climate change on climate variability from a 155-year tropical Pacific coral record , 2000, Nature.

[10]  S. Ellner,et al.  Cholera dynamics and El Niño-Southern Oscillation. , 2000, Science.

[11]  Jack E. Dibb,et al.  Precipitation fluctuations in the Nepal Himalaya and its vicinity and relationship with some large scale climatological parameters. , 2000 .

[12]  Rajagopalan,et al.  On the weakening relationship between the indian monsoon and ENSO , 1999, Science.

[13]  Ngar-Cheung Lau,et al.  Remote Sea Surface Temperature Variations during ENSO: Evidence for a Tropical Atmospheric Bridge , 1999 .

[14]  K. Trenberth,et al.  Global variations in droughts and wet spells: 1900–1995 , 1998 .

[15]  S. Manabe,et al.  Model assessment of decadal variability and trends in the tropical Pacific Ocean , 1998 .

[16]  P. Webster,et al.  Monsoons: Processes, predictability, and the prospects for prediction , 1998 .

[17]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

[18]  R. Moss,et al.  The regional impacts of climate change : an assessment of vulnerability , 1997 .

[19]  D. Focks,et al.  Potential changes in the distribution of dengue transmission under climate warming. , 1997, The American journal of tropical medicine and hygiene.

[20]  J. Jones,et al.  Climate change and human health. , 1997, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[21]  Rita R. Colwell Global Climate and Infectious Disease: The Cholera Paradigm* , 1996, Science.

[22]  Warren M. Washington,et al.  El Niño-like climate change in a model with increased atmospheric CO2 concentrations , 1996, Nature.

[23]  A. Brandling-Bennett,et al.  Infectious diseases in Latin America and the Caribbean: are they really emerging and increasing? , 1996, Emerging infectious diseases.

[24]  Timothy J. Hoar,et al.  The 1990–1995 El Niño‐Southern Oscillation Event: Longest on Record , 1996 .

[25]  Jan Rotmans,et al.  Climate change and vector-borne diseases. A global modelling perspective. , 1995 .

[26]  J Rotmans,et al.  Potential impact of global climate change on malaria risk. , 1995, Environmental health perspectives.

[27]  N. Graham,et al.  Simulation of Recent Global Temperature Trends , 1995, Science.

[28]  Michael Ghil,et al.  Software expedites singular‐spectrum analysis of noisy time series , 1995, Eos, Transactions American Geophysical Union.

[29]  J. L. Montagne,et al.  Emerging infectious diseases. , 1994, The Journal of infectious diseases.

[30]  Michael Ghil,et al.  Nonlinear variability of the climatic system from singular and power spectra of Late Quaternary records , 1994 .

[31]  R. Vautard,et al.  Singular-spectrum analysis: a toolkit for short, noisy chaotic signals , 1992 .

[32]  Neville Nicholls,et al.  A further extension of the Tahiti-Darwin SOI, early ENSO events and Darwin pressure , 1991 .

[33]  R. Vautard,et al.  Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series , 1989 .

[34]  V. Neal,et al.  El Niño occurrences over the past four and a half centuries , 1987 .

[35]  P. Jones,et al.  An Extension of the TahitiDarwin Southern Oscillation Index , 1987 .

[36]  G. P. King,et al.  Extracting qualitative dynamics from experimental data , 1986 .

[37]  R. Colwell,et al.  Effects of temperature and salinity on Vibrio cholerae growth , 1982, Applied and environmental microbiology.

[38]  Donald G. Childers,et al.  Modern Spectrum Analysis , 1978 .