Seasonality of meningitis in Africa and climate forcing: aerosols stand out

Bacterial meningitis is an ongoing threat for the population of the African Meningitis Belt, a region characterized by the highest incidence rates worldwide. The determinants of the disease dynamics are still poorly understood; nevertheless, it is often advocated that climate and mineral dust have a large impact. Over the last decade, several studies have investigated this relationship at a large scale. In this analysis, we scaled down to the district-level weekly scale (which is used for in-year response to emerging epidemics), and used wavelet and phase analysis methods to define and compare the time-varying periodicities of meningitis, climate and dust in Niger. We mostly focused on detecting time-lags between the signals that were consistent across districts. Results highlighted the special case of dust in comparison to wind, humidity or temperature: a strong similarity between districts is noticed in the evolution of the time-lags between the seasonal component of dust and meningitis. This result, together with the assumption of dust damaging the pharyngeal mucosa and easing bacterial invasion, reinforces our confidence in dust forcing on meningitis seasonality. Dust data should now be integrated in epidemiological and forecasting models to make them more realistic and usable in a public health perspective.

[1]  Piet Stammes,et al.  Absorbing Aerosol Index: Sensitivity analysis, application to GOME and comparison with TOMS , 2005 .

[2]  Andrew P. Morse,et al.  Where is the meningitis belt? Defining an area at risk of epidemic meningitis in Africa. , 2002, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[3]  R. Washington,et al.  Dust-Storm Source Areas Determined by the Total Ozone Monitoring Spectrometer and Surface Observations , 2003 .

[4]  B. Greenwood,et al.  Epidemic meningitis, meningococcaemia, and Neisseria meningitidis , 2007, The Lancet.

[5]  Bernard Cazelles,et al.  Regional-scale climate-variability synchrony of cholera epidemics in West Africa , 2007, BMC infectious diseases.

[6]  M. Achtman,et al.  Clonal Waves of Neisseria Colonisation and Disease in the African Meningitis Belt: Eight- Year Longitudinal Study in Northern Ghana , 2007, PLoS medicine.

[7]  K. Blyuss,et al.  Modelling meningococcal meningitis in the African meningitis belt , 2011, Epidemiology and Infection.

[8]  D. Caugant,et al.  Baseline Meningococcal Carriage in Burkina Faso before the Introduction of a Meningococcal Serogroup A Conjugate Vaccine , 2011, Clinical and Vaccine Immunology.

[9]  S. Janicot,et al.  Intra‐seasonal modulation of convection in the West African Monsoon , 2001 .

[10]  J. Paireau,et al.  Analysing Spatio-Temporal Clustering of Meningococcal Meningitis Outbreaks in Niger Reveals Opportunities for Improved Disease Control , 2012, PLoS neglected tropical diseases.

[11]  M. Artenstein,et al.  Human immunity to the meningococcus. II. Development of natural immunity. , 1969 .

[12]  P. Levelt,et al.  Aerosols and surface UV products from Ozone Monitoring Instrument observations: An overview , 2007 .

[13]  S. Janicot,et al.  Relationships between climate and year-to-year variability in meningitis outbreaks: A case study in Burkina Faso and Niger , 2008, International journal of health geographics.

[14]  A. Fontanet,et al.  Association of respiratory tract infection symptoms and air humidity with meningococcal carriage in Burkina Faso , 2008, Tropical medicine & international health : TM & IH.

[15]  M. Thomson,et al.  Potential of environmental models to predict meningitis epidemics in Africa , 2006, Tropical medicine & international health : TM & IH.

[17]  B. Marticorena,et al.  Temporal variability of mineral dust concentrations over West Africa: analyses of a pluriannual monitoring from the AMMA Sahelian Dust Transect , 2010 .

[18]  Dennis W. Gray,et al.  Variation in isoprene emission from Quercus rubra: Sources, causes, and consequences for estimating fluxes , 2005 .

[19]  M. Boko,et al.  Weather conditions and cerebrospinal meningitis in Benin (gulf of Guinea, West Africa) , 1997, European Journal of Epidemiology.

[20]  B. Greenwood,et al.  Meningococcal carriage in the African meningitis belt. , 2007, The Lancet. Infectious diseases.

[21]  M. Kieny,et al.  A review of vaccine research and development: meningococcal disease. , 2006, Vaccine.

[22]  R. Miller,et al.  Atmospheric dust modeling from meso to global scales with the online NMMB/BSC-Dust model – Part 1: Model description, annual simulations and evaluation , 2011 .

[23]  Jürgen Kurths,et al.  Synchronization - A Universal Concept in Nonlinear Sciences , 2001, Cambridge Nonlinear Science Series.

[24]  B. Gessner,et al.  Meningococcal serogroup W135 in the African meningitis belt: epidemiology, immunity and vaccines , 2006, Expert review of vaccines.

[25]  S. Rodionov A sequential algorithm for testing climate regime shifts , 2004 .

[26]  Paul Ginoux,et al.  Empirical TOMS index for dust aerosol: Applications to model validation and source characterization , 2003 .

[27]  S. Hugonnet,et al.  Timely detection of bacterial meningitis epidemics at district level: a study in three countries of the African Meningitis Belt. , 2013, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[28]  A. Pikovsky,et al.  Synchronization: Theory and Application , 2003 .

[29]  J. Herman,et al.  Detection of mineral dust over the North Atlantic Ocean and Africa with the Nimbus 7 TOMS , 1999 .

[30]  Nadège Martiny,et al.  Suitability of OMI aerosol index to reflect mineral dust surface conditions: Preliminary application for studying the link with meningitis epidemics in the Sahel , 2013 .

[31]  J. Prospero,et al.  Relationship between African dust carried in the Atlantic trade winds and surges in pediatric asthma attendances in the Caribbean , 2008, International journal of biometeorology.

[32]  N. Mahowald,et al.  Sensitivity of TOMS aerosol index to boundary layer height: Implications for detection of mineral aerosol sources , 2004 .

[33]  P. Bhartia,et al.  Derivation of aerosol properties from satellite measurements of backscattered ultraviolet radiation , 1998 .

[34]  S. Mallat A wavelet tour of signal processing , 1998 .

[35]  Chris Chatfield,et al.  The Analysis of Time Series: An Introduction , 1981 .

[36]  Laurent Menut,et al.  Predictability of mineral dust concentrations: The African Monsoon Multidisciplinary Analysis first short observation period forecasted with CHIMERE‐DUST , 2009 .

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

[38]  Jean-François Guégan,et al.  Climate Drives the Meningitis Epidemics Onset in West Africa , 2005, PLoS medicine.

[39]  Richard Washington,et al.  North African dust emissions and transport , 2006 .

[40]  Ka-Ming Lau,et al.  Climate Signal Detection Using Wavelet Transform: How to Make a Time Series Sing , 1995 .

[41]  B. Marticorena,et al.  Simulation of the mineral dust content over Western Africa from the event to the annual scale with the CHIMERE-DUST model , 2011 .

[42]  Didier Tanré,et al.  Aerosol vertical distribution and optical properties over M'Bour (16.96 W; 14.39 N), Senegal from 2006 to 2008 , 2009 .

[43]  J. Thepaut,et al.  The ERA‐Interim reanalysis: configuration and performance of the data assimilation system , 2011 .

[44]  S. T. Buckland,et al.  An Introduction to the Bootstrap. , 1994 .

[45]  Anthony J McMichael,et al.  Nonstationary Influence of El Niño on the Synchronous Dengue Epidemics in Thailand , 2005, PLoS medicine.

[46]  Bernard Cazelles,et al.  Detection of imperfect population synchrony in an uncertain world , 2003 .

[47]  R. Irizarry,et al.  Travelling waves in the occurrence of dengue haemorrhagic fever in Thailand , 2004, Nature.

[48]  Bernard Cazelles,et al.  Analysing multiple time series and extending significance testing in wavelet analysis , 2008 .

[49]  Jay R. Herman,et al.  Earth surface reflectivity climatology at 340–380 nm from TOMS data , 1997 .

[50]  Paul R. Houser,et al.  Scanning multichannel microwave radiometer snow water equivalent assimilation , 2007 .

[51]  B. Gessner,et al.  Neisseria meningitidis serogroups A and W-135: carriage and immunity in Burkina Faso, 2003. , 2006, The Journal of infectious diseases.

[52]  P. Moore,et al.  Meningococcal meningitis in sub-Saharan Africa: a model for the epidemic process. , 1992, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[53]  E. L. Woodbury A review of the possible mechanisms for the persistence of foot-and-mouth disease virus , 1995, Epidemiology and Infection.

[54]  N. Middleton,et al.  2003: Global dust storm source areas determined by the total ozone monitoring spectrometer and ground observations , 2003 .

[55]  L. Lapeyssonnie LA M'ENINGITE C'ER'EBRO-SPINALE EN AFRIQUE. , 1963 .

[56]  O. Torres,et al.  ENVIRONMENTAL CHARACTERIZATION OF GLOBAL SOURCES OF ATMOSPHERIC SOIL DUST IDENTIFIED WITH THE NIMBUS 7 TOTAL OZONE MAPPING SPECTROMETER (TOMS) ABSORBING AEROSOL PRODUCT , 2002 .

[57]  B. Gessner,et al.  A hypothetical explanatory model for meningococcal meningitis in the African meningitis belt. , 2010, International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases.

[58]  Detecting meningococcal meningitis epidemics in highly-endemic African countries. , 2000, Releve epidemiologique hebdomadaire.

[59]  P. Diggle,et al.  A multi-state spatio-temporal Markov model for categorized incidence of meningitis in sub-Saharan Africa , 2012, Epidemiology and Infection.

[60]  N. Stenseth,et al.  Identification of Chinese plague foci from long-term epidemiological data , 2012, Proceedings of the National Academy of Sciences.

[61]  B. McPherson,et al.  Sequelae of epidemic meningococcal meningitis in Africa. , 1988, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[62]  B. Greenwood,et al.  Manson Lecture. Meningococcal meningitis in Africa. , 1999, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[63]  Enhanced surveillance of epidemic meningococcal meningitis in Africa: a three-year experience. , 2005, Releve epidemiologique hebdomadaire.

[64]  Mario Chavez,et al.  Time-dependent spectral analysis of epidemiological time-series with wavelets , 2007, Journal of The Royal Society Interface.

[65]  Christian Baron,et al.  Agricultural impacts of large-scale variability of the West African monsoon , 2005 .

[66]  Effect of reactive vaccination on meningitis epidemics in Southern Ethiopia. , 2007, The Journal of infection.

[67]  B. Fontaine,et al.  L'évolution des idées sur la variabilité interannuelle récente des précipitations en Afrique de l'Ouest , 1993 .

[68]  R. Teyssou,et al.  Meningitis epidemics in Africa: a brief overview. , 2007, Vaccine.

[69]  C. Frasch,et al.  Development of a group A meningococcal conjugate vaccine, MenAfriVacTM , 2012, Human vaccines & immunotherapeutics.

[70]  B. Gessner,et al.  Study of a localized meningococcal meningitis epidemic in Burkina Faso: incidence, carriage, and immunity. , 2011, Journal of Infectious Diseases.

[71]  Sabine Henry,et al.  What do we know about effects of desert dust on air quality and human health in West Africa compared to other regions? , 2010, The Science of the total environment.

[72]  Alexander Smirnov,et al.  Comparisons of the TOMS aerosol index with Sun‐photometer aerosol optical thickness: Results and applications , 1999 .

[73]  J. Guégan,et al.  Comparative study of meningitis dynamics across nine African countries: a global perspective , 2007, International journal of health geographics.

[74]  Ross Gagliano,et al.  Review of , 2006, UBIQ.

[75]  James Theiler,et al.  Testing for nonlinearity in time series: the method of surrogate data , 1992 .

[76]  J. Vik,et al.  Wavelet analysis of ecological time series , 2008, Oecologia.