Skip to main navigation Skip to search Skip to main content

High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Ghana

  • Sierra N. Clark
  • , Abosede S. Alli
  • , Michael Brauer
  • , Majid Ezzati
  • , Jill Baumgartner
  • , Mireille B. Toledano
  • , Allison F. Hughes
  • , James Nimo
  • , Josephine Bedford Moses
  • , Solomon Terkpertey
  • , Jose Vallarino
  • , Samuel Agyei-Mensah
  • , Ernest Agyemang
  • , Ricky Nathvani
  • , Emily Muller
  • , James Bennett
  • , Jiayuan Wang
  • , Andrew Beddows
  • , Frank Kelly
  • , Benjamin Barratt
  • Sean Beevers, Raphael E. Arku
  • Imperial College London
  • University of Massachusetts Amherst
  • University of British Columbia
  • University of Ghana
  • McGill University
  • Harvard T.H. Chan School of Public Health

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Introduction Air and noise pollution are emerging environmental health hazards in African cities, with potentially complex spatial and temporal patterns. Limited local data are a barrier to the formulation and evaluation of policies to reduce air and noise pollution. Methods and analysis We designed a year-long measurement campaign to characterise air and noise pollution and their sources at high-resolution within the Greater Accra Metropolitan Area (GAMA), Ghana. Our design uses a combination of fixed (year-long, n=10) and rotating (week-long, n =∼130) sites, selected to represent a range of land uses and source influences (eg, background, road traffic, commercial, industrial and residential areas, and various neighbourhood socioeconomic classes). We will collect data on fine particulate matter (PM 2.5), nitrogen oxides (NO x), weather variables, sound (noise level and audio) along with street-level time-lapse images. We deploy low-cost, low-power, lightweight monitoring devices that are robust, socially unobtrusive, and able to function in Sub-Saharan African (SSA) climate. We will use state-of-the-art methods, including spatial statistics, deep/machine learning, and processed-based emissions modelling, to capture highly resolved temporal and spatial variations in pollution levels across the GAMA and to identify their potential sources. This protocol can serve as a prototype for other SSA cities. Ethics and dissemination This environmental study was deemed exempt from full ethics review at Imperial College London and the University of Massachusetts Amherst; it was approved by the University of Ghana Ethics Committee (ECH 149/18-19). This protocol is designed to be implementable in SSA cities to map environmental pollution to inform urban planning decisions to reduce health harming exposures to air and noise pollution. It will be disseminated through local stakeholder engagement (public and private sectors), peer-reviewed publications, contribution to policy documents, media, and conference presentations.

Original languageEnglish
Article number035798
JournalBMJ Open
Volume10
Issue number8
DOIs
Publication statusPublished - 20 Aug 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  3. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  4. SDG 13 - Climate Action
    SDG 13 Climate Action
  5. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • epidemiology
  • public health
  • statistics & research methods

Fingerprint

Dive into the research topics of 'High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Ghana'. Together they form a unique fingerprint.

Cite this