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Regional dust storm modeling for health services: The case of valley fever

Sprigg, William A.; Nicković, Slobodan; Galgiani, John N.; Pejanović, Goran; Petković, Slavko; Vujadinović, Mirjam; Vuković, Ana; Dacić, Milan; DiBiase, Scott; Prasad, Anup; El-Askary, Hesham

(Elsevier Sci Ltd, Oxford, 2014)

TY  - JOUR
AU  - Sprigg, William A.
AU  - Nicković, Slobodan
AU  - Galgiani, John N.
AU  - Pejanović, Goran
AU  - Petković, Slavko
AU  - Vujadinović, Mirjam
AU  - Vuković, Ana
AU  - Dacić, Milan
AU  - DiBiase, Scott
AU  - Prasad, Anup
AU  - El-Askary, Hesham
PY  - 2014
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3460
AB  - On 5 July 2011, a massive dust storm struck Phoenix, Arizona (USA), raising concerns for increased cases of valley fever (coccidioidomycosis, or, cocci). A quasi-operational experimental airborne dust forecast system predicted the event and provides model output for continuing analysis in collaboration with public health and air quality communities. An objective of this collaboration was to see if a signal in cases of valley fever in the region could be detected and traced to the storm - an American haboob. To better understand the atmospheric life cycle of cocci spores, the DREAM dust model (also herein, NMME-DREAM) was modified to simulate spore emission, transport and deposition. Inexact knowledge of where cocci-causing fungus grows, the low resolution of cocci surveillance and an overall active period for significant dust events complicate analysis of the effect of the 5 July 2011 storm. In the larger context of monthly to annual disease surveillance, valley fever statistics, when compared against PM10 observation networks and modeled airborne dust concentrations, may reveal a likely cause and effect. Details provided by models and satellites fill time and space voids in conventional approaches to air quality and disease surveillance, leading to land-atmosphere modeling and remote sensing that clearly mark a path to advance valley fever epidemiology, surveillance and risk avoidance.
PB  - Elsevier Sci Ltd, Oxford
T2  - Aeolian Research
T1  - Regional dust storm modeling for health services: The case of valley fever
EP  - 73
SP  - 53
VL  - 14
DO  - 10.1016/j.aeolia.2014.03.001
ER  - 
@article{
author = "Sprigg, William A. and Nicković, Slobodan and Galgiani, John N. and Pejanović, Goran and Petković, Slavko and Vujadinović, Mirjam and Vuković, Ana and Dacić, Milan and DiBiase, Scott and Prasad, Anup and El-Askary, Hesham",
year = "2014",
abstract = "On 5 July 2011, a massive dust storm struck Phoenix, Arizona (USA), raising concerns for increased cases of valley fever (coccidioidomycosis, or, cocci). A quasi-operational experimental airborne dust forecast system predicted the event and provides model output for continuing analysis in collaboration with public health and air quality communities. An objective of this collaboration was to see if a signal in cases of valley fever in the region could be detected and traced to the storm - an American haboob. To better understand the atmospheric life cycle of cocci spores, the DREAM dust model (also herein, NMME-DREAM) was modified to simulate spore emission, transport and deposition. Inexact knowledge of where cocci-causing fungus grows, the low resolution of cocci surveillance and an overall active period for significant dust events complicate analysis of the effect of the 5 July 2011 storm. In the larger context of monthly to annual disease surveillance, valley fever statistics, when compared against PM10 observation networks and modeled airborne dust concentrations, may reveal a likely cause and effect. Details provided by models and satellites fill time and space voids in conventional approaches to air quality and disease surveillance, leading to land-atmosphere modeling and remote sensing that clearly mark a path to advance valley fever epidemiology, surveillance and risk avoidance.",
publisher = "Elsevier Sci Ltd, Oxford",
journal = "Aeolian Research",
title = "Regional dust storm modeling for health services: The case of valley fever",
pages = "73-53",
volume = "14",
doi = "10.1016/j.aeolia.2014.03.001"
}
Sprigg, W. A., Nicković, S., Galgiani, J. N., Pejanović, G., Petković, S., Vujadinović, M., Vuković, A., Dacić, M., DiBiase, S., Prasad, A.,& El-Askary, H.. (2014). Regional dust storm modeling for health services: The case of valley fever. in Aeolian Research
Elsevier Sci Ltd, Oxford., 14, 53-73.
https://doi.org/10.1016/j.aeolia.2014.03.001
Sprigg WA, Nicković S, Galgiani JN, Pejanović G, Petković S, Vujadinović M, Vuković A, Dacić M, DiBiase S, Prasad A, El-Askary H. Regional dust storm modeling for health services: The case of valley fever. in Aeolian Research. 2014;14:53-73.
doi:10.1016/j.aeolia.2014.03.001 .
Sprigg, William A., Nicković, Slobodan, Galgiani, John N., Pejanović, Goran, Petković, Slavko, Vujadinović, Mirjam, Vuković, Ana, Dacić, Milan, DiBiase, Scott, Prasad, Anup, El-Askary, Hesham, "Regional dust storm modeling for health services: The case of valley fever" in Aeolian Research, 14 (2014):53-73,
https://doi.org/10.1016/j.aeolia.2014.03.001 . .
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