title: Evaluation of mobile smartphones app as a screening tool for environmental noise monitoring.
abstract: Noise is a global occupational and environmental health hazard with considerable social and physiological impact and, therefore, there is a need for regular measurements to boost monitoring and regulations of environmental noise levels in our communities. This necessitates a readily available, inexpensive, and easy to use noise measuring device. We aimed to test the sensitivity and validity of mobile "smart" phones for this purpose. This was a comparative analysis of a cross sectional study done between January 2014 and February 2015. Noise levels were measured simultaneously at different locations within Abuja Nigeria at day and night hours in real time environments. A sound level meter (SLM) (Extech407730 Digital Soundmeter, serial no.: 2310135, calibration no: 91037) and three smartphones (Samsung Galaxy note3, Nokia S, and Techno Phantom Z running on Android "Apps" Androidboy1) were used. Statistical calculations were done with Pearson correlation, T-test and Consistency within American National Standards Institute acceptable standard errors. Noise level readings for both daytime and night with the SLM and the mobile phones showed equivalent values. All noise level meters measured were <100dB. The daytime readings were nearly identical in six locations and the maximum difference in values between the SLM and Smartphone instruments was 3db, noted in two locations. Readings in dBA showed strong correlation (r = 0.9) within acceptable error limits for Type 2 SLM devices and no significant difference in the values (p = 0.12 & 0.58) for both day and night. Sensitivity of the instrument yielded 92.9%. The androidboy1 "app" performance in this study showed a good correlation and comparative high sensitivity to the Standard SLM (type 2 SLM device). However there is the need for further studies.
authors.affiliation: a Department of ENT , University of Abuja Teaching Hospital , Abuja , Nigeria.|b College of Health Sciences, University of Abuja , Nigeria.
authors.forename: Titus S
authors.initials: TS
authors.lastname: Ibekwe
authors.affiliation: a Department of ENT , University of Abuja Teaching Hospital , Abuja , Nigeria.
authors.forename: David O
authors.initials: DO
authors.lastname: Folorunsho
authors.affiliation: a Department of ENT , University of Abuja Teaching Hospital , Abuja , Nigeria.|b College of Health Sciences, University of Abuja , Nigeria.
authors.forename: Enoch A
authors.initials: EA
authors.lastname: Dahilo
authors.affiliation: a Department of ENT , University of Abuja Teaching Hospital , Abuja , Nigeria.
authors.forename: Ibeneche O
authors.initials: IO
authors.lastname: Gbujie
authors.affiliation: b College of Health Sciences, University of Abuja , Nigeria.|c Department of Chemical Pathology , University of Abuja Teaching Hospital , Abuja , Nigeria.
authors.forename: Maxwell M
authors.initials: MM
authors.lastname: Nwegbu
authors.affiliation: d Department of Otolaryngology , University College Hospital Ibadan & College of Medicine, University of Ibadan , Nigeria.
authors.forename: Onyekwere G
authors.initials: OG
authors.lastname: Nwaorgu
mesh_terms: D000162:Acoustics / Q000295:instrumentation*; D004784:Environmental Monitoring / Q000295:instrumentation*; D063731:Mobile Applications; D009549:Nigeria; D009622:Noise; D015203:Reproducibility of Results; D000068997:Smartphone; D013016:Sound
keywords: Androidboy1 “app”; noise; noise measuring device; smartphones; sound level meter