Regional dust storm modeling for health services: The case of valley fever
2014
Authors
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
Article (Published version)
Metadata
Show full item recordAbstract
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.
Keywords:
Airborne dust / Haboob / Dust storm / Forecasts / Valley fever / Disease surveillanceSource:
Aeolian Research, 2014, 14, 53-73Publisher:
- Elsevier Sci Ltd, Oxford
Funding / projects:
- CDC's Environmental Public Health Tracking Program
- NASA's Applied Sciences for Health and Air Quality [NNM08AA04A]
- NASANational Aeronautics & Space Administration (NASA) [NNX08AL15G, NNSO4AA19A]
DOI: 10.1016/j.aeolia.2014.03.001
ISSN: 1875-9637
WoS: 000342260100006
Scopus: 2-s2.0-84906943243
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Poljoprivredni fakultetTY - 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 . .