2017
DOI: 10.1016/j.jaci.2016.04.062
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Airborne dust and high temperatures are risk factors for invasive bacterial disease

Abstract: BackgroundThe Sahel region of West Africa has the highest bacterial meningitis attack and case fatality rate in the world. The effect of climatic factors on patterns of invasive respiratory bacterial disease is not well documented.ObjectiveWe aimed to assess the link between climatic factors and occurrence of invasive respiratory bacterial disease in a Sahel region of Niger.MethodsWe conducted daily disease surveillance and climatic monitoring over an 8-year period between January 1, 2003, and December 31, 201… Show more

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Cited by 67 publications
(61 citation statements)
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“…Sea salt emissions are mostly influenced by wind speed and the resulting concentrations are obviously high over the North Pacific and Atlantic oceans where the low-pressure systems are still active in early spring, the order of magnitude is in agreement with observational data as reported on coastal areas [88,89]. 10 concentrations are located over the arid and semi-arid regions and also over the most populated areas in Asia. High PM levels are simulated in the southwest of the USA.…”
Section: Overview Of Pm Concentrations Simulated By Chimere Over the supporting
confidence: 88%
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“…Sea salt emissions are mostly influenced by wind speed and the resulting concentrations are obviously high over the North Pacific and Atlantic oceans where the low-pressure systems are still active in early spring, the order of magnitude is in agreement with observational data as reported on coastal areas [88,89]. 10 concentrations are located over the arid and semi-arid regions and also over the most populated areas in Asia. High PM levels are simulated in the southwest of the USA.…”
Section: Overview Of Pm Concentrations Simulated By Chimere Over the supporting
confidence: 88%
“…As shown in Figure 26, the ratio PM coarse /PM 10 exceeds 50-60% during the previous identified episode; this threshold is usually mentioned to identify a mineral dust outbreak [16]. On average, the model captures quite well the evolution of PM concentrations over the Beijing area in March 2014 (Figure 27), the correlation is close to 0.8 for most of stations either for PM 2.5 and PM 10 concentrations with a very low bias. However, the coarse fraction seems underestimated by the model (Figure 26).…”
Section: Dust Outbreaks Over Chinamentioning
confidence: 81%
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