scholarly journals Fungal Contamination of Airconditioner Units in Five Hospitals of Erbil Province- Kurdistan Region /Iraq

2018 ◽  
Vol 6 (4) ◽  
pp. 146-149
Author(s):  
Salah M. Al-Bader ◽  
Layla Q. Ismael ◽  
Asaad A. Ahmood

During April 2018, 75samples were collected from five hospitals in Erbil city. Samples were taken by sterile cotton swabs from the air dispenser window  of air conditioner units  (ACU) . They were cultured directly on Sabouraud's dextrose agar incubated at 25oC ±2. The samples were collected from five departments  in each hospital include out-patient ward (OP),in-patient ward (IP), emergency room (ER), intensive care unit(ICU), and operation theater (OT). A total of (410) fungal colonies were counted, they belong to13 genera include ten  hyphomycetes  and only one of zygomycetes ,basidiomycetes , and hemiascomycetes. Penicillium  represented in the highest  total occurrence (40%) followed by Aspergillus(38.66%) and Alternaria  (21.33%). The total frequency showed that Candidawas the highest (30%) followed by Penicillium(27.56%) and Aspergillus(13.17%). The highest density of filamentous fungi (no. of colony/sample) was detected in OP=16.75, and the lowest in OT=1.5. The diversity of isolates  showed that ( 9) genera were recorded from ER(60%)  and only one in OP (6%). All recorded genera in current study were regarded as indoor air pollutants. The predominant genera  Alternaria, Aspergillus, Penicillium ,Cladosporiumand Candida are  well-known allergens and may cause  several pulmonary disorders  as well as fetal infections in particular cases.

Atmosphere ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 105
Author(s):  
Haider A. Khwaja

The five papers included in this Special Issue represent a diverse selection of contributions [...]


1990 ◽  
Vol 11 (4) ◽  
pp. 295-302 ◽  
Author(s):  
J. J. McAughey ◽  
J. N. Pritchard ◽  
A. Black

2021 ◽  
Author(s):  
Hamid Omidvarborna ◽  
Prashant Kumar

<p>The majority of people spend most of their time indoors, where they are exposed to indoor air pollutants. Indoor air pollution is ranked among the top ten largest global burden of a disease risk factor as well as the top five environmental public health risks, which could result in mortality and morbidity worldwide. The spent time in indoor environments has been recently elevated due to coronavirus disease 2019 (COVID-19) outbreak when the public are advised to stay in their place for longer hours per day to protect lives. This opens an opportunity to low-cost air pollution sensors in the real-time Spatio-temporal mapping of IAQ and monitors their concentration/exposure levels indoors. However, the optimum selection of low-cost sensors (LCSs) for certain indoor application is challenging due to diversity in the air pollution sensing device technologies. Making affordable sensing units composed of individual sensors capable of measuring indoor environmental parameters and pollutant concentration for indoor applications requires a diverse scientific and engineering knowledge, which is not yet established. The study aims to gather all these methodologies and technologies in one place, where it allows transforming typical homes into smart homes by specifically focusing on IAQ. This approach addresses the following questions: 1) which and what sensors are suitable for indoor networked application by considering their specifications and limitation, 2) where to deploy sensors to better capture Spatio-temporal mapping of indoor air pollutants, while the operation is optimum, 3) how to treat the collected data from the sensor network and make them ready for the subsequent analysis and 4) how to feed data to prediction models, and which models are best suited for indoors.</p>


2017 ◽  
Vol 125 ◽  
pp. 528-555 ◽  
Author(s):  
Brandon E. Boor ◽  
Michal P. Spilak ◽  
Jelle Laverge ◽  
Atila Novoselac ◽  
Ying Xu

Indoor Air ◽  
2018 ◽  
Vol 29 (1) ◽  
pp. 89-100 ◽  
Author(s):  
Toyib Olaniyan ◽  
Mohamed Aqiel Dalvie ◽  
Martin Röösli ◽  
Rajen Naidoo ◽  
Nino Künzli ◽  
...  

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