Frontiers in Public Health · 2021 · 21 citations · 35 references
Public HealthChild HealthInfectious DiseasesAir PollutionEpidemiologyPediatric EpidemiologyAir Pollution EpidemiologyAir QualityAnalytic EpidemiologyEnvironmental EpidemiologyExposure AssessmentRespiratory Disease Epidemiology In ChildrenAcute Lower Respiratory Tract InfectionsChildren's Air Pollution ExposureCoarse Particulate MatterEpidemiology Of Air Pollution Health EffectsExcess Risk ModelFine Particulate MatterParticulate Matter Exposure AssessmentParticulate Matter Pollution
The burden of lower respiratory infections is primarily evident in the developing countries. However, the association between size-specific particulate matter and acute lower respiratory infection (ALRI) outpatient visits in the developing countries has been less studied. We obtained data on ALRI outpatient visits ( N = 105,639) from a tertiary hospital in Guangzhou, China between 2013 and 2019. Over-dispersed generalized additive Poisson models were employed to evaluate the excess risk (ER) associated with the size-specific particulate matter, such as inhalable particulate matter (PM 10 ), coarse particulate matter (PM c ), and fine particulate matter (PM 2.5 ). Counterfactual analyses were used to examine the potential percent reduction of ALRI outpatient visits if the levels of air pollution recommended by the WHO were followed. There were 35,310 pneumonia, 68,218 bronchiolitis, and 2,111 asthma outpatient visits included. Each 10 μg/m 3 increase of 3-day moving averages of particulate matter was associated with a significant ER (95% CI) of outpatient visits of pneumonia (PM 2.5 : 3.71% [2.91, 4.52%]; PM c : 9.19% [6.94, 11.49%]; PM 10 : 4.36% [3.21, 5.52%]), bronchiolitis (PM 2.5 : 3.21% [2.49, 3.93%]; PM c : 9.13% [7.09, 11.21%]; PM 10 : 3.12% [2.10, 4.15%]), and asthma (PM 2.5 : 3.45% [1.18, 5.78%]; PM c : 11.69% [4.45, 19.43%]; PM 10 : 3.33% [0.26, 6.49%]). The association between particulate matter and pneumonia outpatient visits was more evident in men patients and in the cold seasons. Counterfactual analyses showed that PM 2.5 was associated with a larger potential decline of ALRI outpatient visits compared with PM c and PM 10 (pneumonia: 11.07%, 95% CI: [7.99, 14.30%]; bronchiolitis: 6.30% [4.17, 8.53%]; asthma: 8.14% [2.65, 14.33%]) if the air pollutants were diminished to the level of the reference guidelines. In conclusion, short-term exposures to PM 2.5 , PM c , and PM 10 are associated with ALRI outpatient visits, and PM 2.5 is associated with the highest potential decline in outpatient visits if it could be reduced to the levels recommended by the WHO.
35
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Heart Disease and Stroke Statistics—2021 Update
Salim S. Virani, Álvaro Alonso, Hugo J. Aparicio et al. · Circulation · 2021 · 5.8K citations · Full text
Mohsen Naghavi, Amanuel Alemu Abajobir, Cristiana Abbafati et al. · The Lancet · 2017 · 4.9K citations · Full text
Christopher Troeger, Brigette F. Blacker, Puja C Rao et al. · The Lancet Infectious Diseases · 2018 · 2K citations · Full text