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

被引:63
|
作者
Agier, L. [1 ,2 ]
Deroubaix, A. [3 ,4 ]
Martiny, N. [3 ]
Yaka, P. [5 ]
Djibo, A. [6 ]
Broutin, H. [7 ]
机构
[1] Univ Lancaster, Sch Hlth & Med, Lancaster, England
[2] Inst Pasteur, Unite Epidemiol Malad Emergentes, Paris, France
[3] Univ Bourgogne, Ctr Rech Climatol, Dijon, France
[4] Inst Pierre Simon Laplace, Lab Oceanog & Climat, Paris, France
[5] Direct Gen Metorol, Ouagadougou, Burkina Faso
[6] Minist Hlth, Niamey, Niger
[7] UM1 UM2, UMR CNRS 5290 IRD224, Montpellier, France
关键词
meningitis; climate and dust; seasonality; Africa; wavelet methods; phase analysis; MENINGOCOCCAL MENINGITIS; TIME-SERIES; MINERAL DUST; BURKINA-FASO; EPIDEMIC MENINGITIS; CARRIAGE; VARIABILITY; IMMUNITY; VACCINE; MODEL;
D O I
10.1098/rsif.2012.0814
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:11
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