Environmental Quality Assessment in Areas Used for Physical Activity and Recreation in a City Affected by Intense Urban Expansion (Fortaleza-CE, Brazil): Implications for Public Health Policy

Rocha, Camille Arraes; Sousa, Francisco W.; Zanella, Maria Elisa; Oliveira, André Gadelha de; Nascimento, Ronaldo F.; Souza, Oscarina V.; Cajazeiras, Italo M. P.; Lima, Joyce L.R.; Cavalcante, Rivelino M.

doi:10.1007/s12403-016-0230-x

Cited by 21 publications

(12 citation statements)

References 80 publications

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“…Similar results were obtained by Frankel et al (2012) who noted much lower concentrations of molds in the residential houses than those in their surroundings. Research by Rocha et al (2017) also confirms high concentrations of molds in the atmospheric air (from 116.2 to 815 CFU m -3 ) in areas designated for sports and recreation in Fortaleza-CE of Brazil. Madureira et al (2015) recorded low concentrations of molds in investigated rooms.…”

Section: Concentrations Of Fungal Bioaerosolmentioning

confidence: 73%

Microbial diversity of bioaerosol inside sports facilities and antibiotic resistance of isolated Staphylococcus spp.

2019

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In the modern world, healthy habits and physical and mental fitness are more important than ever. A growing number of people participate in sports to improve their overall health. However, the conditions in which people exercise are seldom examined. It is obvious that the air in buildings, including sports facilities, can be contaminated with pathogenic microorganisms, causing infections and allergies. Our study was aimed at assessing microbial air quality inside several sports facilities (fitness room, martial arts room, swimming pool, sports hall, gym) and at a sports field. Another objective was to evaluate the antibiotic resistance of isolated Staphylococcus strains. Air samples were collected with MAS-100 sampler, using selective substrates. Antibiotic resistance of mannitol-positive staphylococci was assessed using a disk diffusion method in accordance with EUCAST recommendations. The results indicated large fluctuations in average concentrations of heterotrophic bacteria, ranging from 38 CFU m -3 (swimming pool) to 1036 CFU m -3 (sports hall). Generally, bacteria were more abundant inside the buildings, while fungi in the sports field (658 CFU m -3 on average). In all facilities, airborne fungal communities were dominated by the genus Cladosporium, followed by Penicillium, Fusarium and Acremonium. Alternaria and Aureobasidium constituted only a small percentage of isolated molds. We recorded only low concentrations of mannitol-positive staphylococci (on average ranging from 1 CFU m -3 at the swimming pool and sports field to 9 CFU m -3 in the martial arts room). Of all isolated Staphylococcus strains, 73% were resistant to benzopenicillin, while more than 90% were sensitive to gentamycin, levofloxacin and rifampicin.

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Section: Concentrations Of Fungal Bioaerosolmentioning

confidence: 73%

Microbial diversity of bioaerosol inside sports facilities and antibiotic resistance of isolated Staphylococcus spp.

2019

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“…The environmental impacts were linked to human activities in order to explore the cause-and-effect relationships, therefore, systems thinking is crucial in the case of an EIA. Rocha et al developed a multiple indicatorbased approach for environmental quality assessment in urban areas [22]. The proposed I IEQ method is suitable for tracking environmental changes which can be linked to different human activities.…”

Section: Introductionmentioning

confidence: 99%

Informative Environment Qualifying Index

Utasi¹,

Sebestyén²,

Rédey³

2020

Hung. J. Ind. Chem.

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“…It does ensure the well-being safety with healthy living [3], [4]. The poisonous pollutants pervasiveness in the air causes directly particular side health effects, according to the World Health Organization (WHO) recommendations [18]. In fact, 3.8 million people die annually due to pollution, 1.5 million of them pass away owing to indoor air pollution [19].…”

Section: Introductionmentioning

confidence: 99%

An Electronic Nose Natural Neural Learning Model in Real Work Environment

Ouhmad

Makkaoui²,

Beni‐Hssane

et al. 2019

IEEE Access

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The natural identification of an odor, smelled once, highlights a new idea on the artificial intelligence for electronic noses to mimic as close as possible the biological olfactory system. For the first time, a natural on-line training with only one sample, to extract both eigen-weights and eigen-bias, for each odor is built herein to elaborate a natural identifier neural model in a real work environment. The proposed model efficiently reduces the maximum extent of traditional neural models complexities, namely generic work-laboratory, dimensional data learning (typically from 60 to 80%), model adaptability complication, time-consuming, heavy experiment materials and chemical products. The outcomes show that the invented model identifies correctly 100% the three hazardous contaminants of the test data (all data minus only three samples for learning) processed from gas sensors weakened in the harshest conditions. Therewith, this natural identifier model methodology is elaborated easily enough to be efficient in different environments conditions to accurately control the air quality safety in any local area. INDEX TERMS Artificial neural network (ANN), natural identifier neural learning (NINL), eigen-weights and bias, electronic nose (e-nose), sensors, highly toxic gases, real environment, air quality safety.

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Environmental Quality Assessment in Areas Used for Physical Activity and Recreation in a City Affected by Intense Urban Expansion (Fortaleza-CE, Brazil): Implications for Public Health Policy

Cited by 21 publications

References 80 publications

Microbial diversity of bioaerosol inside sports facilities and antibiotic resistance of isolated Staphylococcus spp.

Microbial diversity of bioaerosol inside sports facilities and antibiotic resistance of isolated Staphylococcus spp.

Informative Environment Qualifying Index

An Electronic Nose Natural Neural Learning Model in Real Work Environment

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