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Association between ambient air pollution and respiratory health in Kampala, Uganda: Implications for policy and practice
被引:0
|作者:
Okello, Gabriel
[1
,2
]
Nantanda, Rebecca
[3
]
Tatah, Lambed
[2
]
Sserunjogi, Richard
[4
]
Johnson, Olatunji
[5
]
Awokola, Babatunde
[6
]
Okure, Deo
[4
]
Thondoo, Meelan
[2
]
Green, Paul
[4
]
Babajide, Opeyemi
[7
]
Oni, Tolu
[2
]
机构:
[1] Univ Cambridge, Inst Sustainabil Leadership, Cambridge, England
[2] Univ Cambridge, MRC Epidemiol Unit, Cambridge, England
[3] Makerere Univ, Lung Inst, Kampala, Uganda
[4] Makerere Univ, Dept Comp Sci, AirQo, Kampala, Uganda
[5] Univ Manchester, Dept Math, Manchester, England
[6] Univ Liverpool Liverpool Sch Trop Med, Dept Clin Serv, Liverpool, England
[7] Drexel Univ, Drexel Urban Hlth Collaborat, Philadelphia, PA USA
来源:
关键词:
Ambient air pollution;
Health;
Respiratory events;
Policy and practice;
OBSTRUCTIVE PULMONARY-DISEASE;
LOW-EMISSION ZONE;
HOSPITAL ADMISSIONS;
PARTICULATE MATTER;
TIME-SERIES;
ASTHMA;
MORTALITY;
IMPACT;
PM2.5;
IMPLEMENTATION;
D O I:
10.1016/j.uclim.2024.102128
中图分类号:
X [环境科学、安全科学];
学科分类号:
08 ;
0830 ;
摘要:
Ambient air pollution and weather have an impact on respiratory diseases. This study analysed effects of fine particulate matter (PM2.5) on monthly respiratory-related healthcare facility visits and admissions (herein referred to as events) in Kampala, whilst considering meteorological factors. Monthly healthcare facility events for neonatal pneumonia, asthma, pneumonia and COPD between 2019 and 2020 were retrospectively extracted from the District Health Information Software 2. PM2.5 and meteorological data were obtained from 45 monitoring stations and 5 weather stations in Kampala. Associations between air pollution and healthcare facility events were examined using generalised additive models (GAM) adjusted for rainfall, temperature and humidity. Multivariate analysis showed positive association between monthly PM2.5 with healthcare facility visits due to asthma (incident rate ratio-IRR = 1.007, 95 % CI: 1.002-1.013; p < 0.05) and admissions due to pneumonia (IRR = 1.007, 95 % CI: 1.001-1.013; p < 05). Healthcare facility events were associated with PM2.5 (IRR = 1.005; 95 % CI: 1.002-1.009; p < 0.05) and relative humidity (EDF = 1.000; p < 0.05). PM2.5 impacted on healthcare facility events in Kampala and association was influenced by meteorological factors. However, lack of data for daily healthcare facility events could have affected accuracy of the impact therefore further analyses are needed. Our characterisation could support facilities in development of early warning tools for air pollution events.
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