Fine Particulate Matter and Medications Dispensed during and after a Brown Coal Mine Fire

A Time Series Analysis

Amanda Johnson, Joanna Dipnall, Martine Dennekamp, Grant Williamson, Xiaolei Gao, Matthew Carroll, Christina Dimitriadis, Jillian Ikin, Fay Johnston, Alexander Cowell McFarlane, Malcolm Sim, Dion Stub, Michael J Abramson, Yuming Guo

Research output: Contribution to conferenceAbstractOther

Abstract

Background: Very few studies have examined the impacts of coal mine fire smoke on human health. The aim of this study was to assess the association between prolonged mine fire smoke PM2.5 exposure from a coal mine fire that burned over a six week period in 2014 and medications dispensed across five localities in South-eastern Victoria, Australia. Maximum hourly mine fire-related PM2.5 concentrations were estimated to reach 3700 μg/m3.Methods: Spatially resolved PM2.5 concentrations were retrospectively modelled using The Air Pollution Model, a dispersion model coupled with a chemical transport model (TAPM-CTM). Data on medications dispensed were collected from the Pharmaceutical Benefits Schedule database for 2013-2016. Poisson distributed lag time series analysis was used to examine associations between daily mine fire-related PM2.5 concentrations and daily counts of medications dispensed for respiratory, cardiovascular and mental health conditions. Confounding variables included: seasonality, long-term trend, day of the week, maximum ambient temperature and public holidays.Results: Positive associations were found between mine fire-related PM2.5 and increased risks of medications dispensed for respiratory, cardiovascular and mental health conditions, after lag 2-5 days. A 10 μg/m3 increase in coal mine fire-related PM2.5 was associated with a 15% (95%CI 8-23%) increase in respiratory medications dispensed, a 12% (9-16%) increase in cardiovascular medications dispensed and a 17% (12-22%) increase in mental health medications dispensed.Conclusions: Mine fire PM2.5 exposure was associated with increased medications dispensed for respiratory, cardiovascular and mental health. These findings can help to develop the public health response in the event of future mine fires.
Original languageEnglish
Number of pages1
Publication statusPublished - 2018
EventInternational Society of Exposure Science - International Society for Environmental Epidemiology 2018 Joint Annual Meeting: ISES-ISEE 2018 Joint Annual Meeting - Shaw Centre, Ottawa, Canada
Duration: 26 Aug 201830 Aug 2018
https://ehp.niehs.nih.gov/doi/10.1289/isesisee.2018.P02.1550

Conference

ConferenceInternational Society of Exposure Science - International Society for Environmental Epidemiology 2018 Joint Annual Meeting
Abbreviated titleISES-ISEE 2018
CountryCanada
CityOttawa
Period26/08/1830/08/18
Internet address

Cite this

Johnson, A., Dipnall, J., Dennekamp, M., Williamson, G., Gao, X., Carroll, M., ... Guo, Y. (2018). Fine Particulate Matter and Medications Dispensed during and after a Brown Coal Mine Fire: A Time Series Analysis. Abstract from International Society of Exposure Science - International Society for Environmental Epidemiology 2018 Joint Annual Meeting, Ottawa, Canada.
Johnson, Amanda ; Dipnall, Joanna ; Dennekamp, Martine ; Williamson, Grant ; Gao, Xiaolei ; Carroll, Matthew ; Dimitriadis, Christina ; Ikin, Jillian ; Johnston, Fay ; McFarlane, Alexander Cowell ; Sim, Malcolm ; Stub, Dion ; Abramson, Michael J ; Guo, Yuming. / Fine Particulate Matter and Medications Dispensed during and after a Brown Coal Mine Fire : A Time Series Analysis. Abstract from International Society of Exposure Science - International Society for Environmental Epidemiology 2018 Joint Annual Meeting, Ottawa, Canada.1 p.
@conference{8f8d7273c0a74db594e471a5bd2cd832,
title = "Fine Particulate Matter and Medications Dispensed during and after a Brown Coal Mine Fire: A Time Series Analysis",
abstract = "Background: Very few studies have examined the impacts of coal mine fire smoke on human health. The aim of this study was to assess the association between prolonged mine fire smoke PM2.5 exposure from a coal mine fire that burned over a six week period in 2014 and medications dispensed across five localities in South-eastern Victoria, Australia. Maximum hourly mine fire-related PM2.5 concentrations were estimated to reach 3700 μg/m3.Methods: Spatially resolved PM2.5 concentrations were retrospectively modelled using The Air Pollution Model, a dispersion model coupled with a chemical transport model (TAPM-CTM). Data on medications dispensed were collected from the Pharmaceutical Benefits Schedule database for 2013-2016. Poisson distributed lag time series analysis was used to examine associations between daily mine fire-related PM2.5 concentrations and daily counts of medications dispensed for respiratory, cardiovascular and mental health conditions. Confounding variables included: seasonality, long-term trend, day of the week, maximum ambient temperature and public holidays.Results: Positive associations were found between mine fire-related PM2.5 and increased risks of medications dispensed for respiratory, cardiovascular and mental health conditions, after lag 2-5 days. A 10 μg/m3 increase in coal mine fire-related PM2.5 was associated with a 15{\%} (95{\%}CI 8-23{\%}) increase in respiratory medications dispensed, a 12{\%} (9-16{\%}) increase in cardiovascular medications dispensed and a 17{\%} (12-22{\%}) increase in mental health medications dispensed.Conclusions: Mine fire PM2.5 exposure was associated with increased medications dispensed for respiratory, cardiovascular and mental health. These findings can help to develop the public health response in the event of future mine fires.",
author = "Amanda Johnson and Joanna Dipnall and Martine Dennekamp and Grant Williamson and Xiaolei Gao and Matthew Carroll and Christina Dimitriadis and Jillian Ikin and Fay Johnston and McFarlane, {Alexander Cowell} and Malcolm Sim and Dion Stub and Abramson, {Michael J} and Yuming Guo",
year = "2018",
language = "English",
note = "International Society of Exposure Science - International Society for Environmental Epidemiology 2018 Joint Annual Meeting : ISES-ISEE 2018 Joint Annual Meeting, ISES-ISEE 2018 ; Conference date: 26-08-2018 Through 30-08-2018",
url = "https://ehp.niehs.nih.gov/doi/10.1289/isesisee.2018.P02.1550",

}

Johnson, A, Dipnall, J, Dennekamp, M, Williamson, G, Gao, X, Carroll, M, Dimitriadis, C, Ikin, J, Johnston, F, McFarlane, AC, Sim, M, Stub, D, Abramson, MJ & Guo, Y 2018, 'Fine Particulate Matter and Medications Dispensed during and after a Brown Coal Mine Fire: A Time Series Analysis' International Society of Exposure Science - International Society for Environmental Epidemiology 2018 Joint Annual Meeting, Ottawa, Canada, 26/08/18 - 30/08/18, .

Fine Particulate Matter and Medications Dispensed during and after a Brown Coal Mine Fire : A Time Series Analysis. / Johnson, Amanda; Dipnall, Joanna; Dennekamp, Martine; Williamson, Grant; Gao, Xiaolei; Carroll, Matthew; Dimitriadis, Christina; Ikin, Jillian; Johnston, Fay; McFarlane, Alexander Cowell; Sim, Malcolm; Stub, Dion; Abramson, Michael J; Guo, Yuming.

2018. Abstract from International Society of Exposure Science - International Society for Environmental Epidemiology 2018 Joint Annual Meeting, Ottawa, Canada.

Research output: Contribution to conferenceAbstractOther

TY - CONF

T1 - Fine Particulate Matter and Medications Dispensed during and after a Brown Coal Mine Fire

T2 - A Time Series Analysis

AU - Johnson, Amanda

AU - Dipnall, Joanna

AU - Dennekamp, Martine

AU - Williamson, Grant

AU - Gao, Xiaolei

AU - Carroll, Matthew

AU - Dimitriadis, Christina

AU - Ikin, Jillian

AU - Johnston, Fay

AU - McFarlane, Alexander Cowell

AU - Sim, Malcolm

AU - Stub, Dion

AU - Abramson, Michael J

AU - Guo, Yuming

PY - 2018

Y1 - 2018

N2 - Background: Very few studies have examined the impacts of coal mine fire smoke on human health. The aim of this study was to assess the association between prolonged mine fire smoke PM2.5 exposure from a coal mine fire that burned over a six week period in 2014 and medications dispensed across five localities in South-eastern Victoria, Australia. Maximum hourly mine fire-related PM2.5 concentrations were estimated to reach 3700 μg/m3.Methods: Spatially resolved PM2.5 concentrations were retrospectively modelled using The Air Pollution Model, a dispersion model coupled with a chemical transport model (TAPM-CTM). Data on medications dispensed were collected from the Pharmaceutical Benefits Schedule database for 2013-2016. Poisson distributed lag time series analysis was used to examine associations between daily mine fire-related PM2.5 concentrations and daily counts of medications dispensed for respiratory, cardiovascular and mental health conditions. Confounding variables included: seasonality, long-term trend, day of the week, maximum ambient temperature and public holidays.Results: Positive associations were found between mine fire-related PM2.5 and increased risks of medications dispensed for respiratory, cardiovascular and mental health conditions, after lag 2-5 days. A 10 μg/m3 increase in coal mine fire-related PM2.5 was associated with a 15% (95%CI 8-23%) increase in respiratory medications dispensed, a 12% (9-16%) increase in cardiovascular medications dispensed and a 17% (12-22%) increase in mental health medications dispensed.Conclusions: Mine fire PM2.5 exposure was associated with increased medications dispensed for respiratory, cardiovascular and mental health. These findings can help to develop the public health response in the event of future mine fires.

AB - Background: Very few studies have examined the impacts of coal mine fire smoke on human health. The aim of this study was to assess the association between prolonged mine fire smoke PM2.5 exposure from a coal mine fire that burned over a six week period in 2014 and medications dispensed across five localities in South-eastern Victoria, Australia. Maximum hourly mine fire-related PM2.5 concentrations were estimated to reach 3700 μg/m3.Methods: Spatially resolved PM2.5 concentrations were retrospectively modelled using The Air Pollution Model, a dispersion model coupled with a chemical transport model (TAPM-CTM). Data on medications dispensed were collected from the Pharmaceutical Benefits Schedule database for 2013-2016. Poisson distributed lag time series analysis was used to examine associations between daily mine fire-related PM2.5 concentrations and daily counts of medications dispensed for respiratory, cardiovascular and mental health conditions. Confounding variables included: seasonality, long-term trend, day of the week, maximum ambient temperature and public holidays.Results: Positive associations were found between mine fire-related PM2.5 and increased risks of medications dispensed for respiratory, cardiovascular and mental health conditions, after lag 2-5 days. A 10 μg/m3 increase in coal mine fire-related PM2.5 was associated with a 15% (95%CI 8-23%) increase in respiratory medications dispensed, a 12% (9-16%) increase in cardiovascular medications dispensed and a 17% (12-22%) increase in mental health medications dispensed.Conclusions: Mine fire PM2.5 exposure was associated with increased medications dispensed for respiratory, cardiovascular and mental health. These findings can help to develop the public health response in the event of future mine fires.

M3 - Abstract

ER -

Johnson A, Dipnall J, Dennekamp M, Williamson G, Gao X, Carroll M et al. Fine Particulate Matter and Medications Dispensed during and after a Brown Coal Mine Fire: A Time Series Analysis. 2018. Abstract from International Society of Exposure Science - International Society for Environmental Epidemiology 2018 Joint Annual Meeting, Ottawa, Canada.