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Author | Objective | Study design | Data source | Measures of effect | Study outcome | Quality |
Health data | Climate data | OR | RR | Count | EDV1 | HA2 |
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Abe et al. [6] | Investigate the relationship of weather conditions and asthma exacerbation | Time-series | Tokyo Fire Department, follow-up diagnostic data from emergency physicians | Japan Meteorological Agency | X | | | X | | Good |
Anderson et al. [14] | Investigate associations between asthma admissions and thunderstorms | Case control | Computerized hospital record | Met. Office and Cardiff Airport measurement site. | | | X | | X | Fair |
Buckley and Richardson [15] | Characterize the effect of temperature on EDVs for asthma | Case-crossover | Epidemiologic Collection Tool (NC DETECT) | State Climate Office of North Carolina | X | | | X | | Fair |
Delamater et al. [16]³ | Investigate the relationships between air pollution, weather conditions, and asthma hospitalizations | Ecological | Healthcare Information Resource Center | Environmental Protection Agency (EPA) | | | X | | X | Fair |
Fitzgerald et al. [11] | Investigate whether prolonged periods of very cold temperatures are associated with an increased risk of hospitalization for asthma patients | Time-series | New York State Department of Health, Statewide Planning and Research Cooperative System (SPARCS) | National Center for Atmospheric Research | | | X | | X | Fair |
Grundstein et al. [17] | Examine the association between thunderstorm activity and asthma morbidity | Time-series | EDV database | Automated surface observing system station | | X | | X | | Poor |
Kunikullaya et al., 2017³ | Determine the relationship between acute exacerbations of asthma and related HAs due to air pollution and meteorological conditions | Retrospective ecological time-series | Admission recorded by the hospital | Central laboratory of Karnataka State Pollution Control Board and meteorological department | | | X | X | | Fair |
Kwon et al. [18]³ | Estimate the effect of climate factors and air pollution on asthma hospitalization | Case-crossover | Kangwon National University Hospital and Chuncheon Sacred Heart Hospital | Database of the Korea Meteorological Administration | | X | | X | | Fair |
Lam et al. [19] | Evaluate associations between asthma hospitalizations and meteorological factors in Hong Kong. | Time-series | Hospital authority | Single central monitoring station from the Hong Kong Observatory (HKO) | | | X | | X | Fair |
Qasem et al. [20]³ | Explore which weather factors contribute to asthma hospitalization while controlling for pollen and spore level in the air in Kuwait | Retrospective time-series study | Medical records from two hospitals (Al-Rashid Allergy Center and Emergency Department, and Al-Sabah Hospital) | Kuwait Aviation/Meteorology Department | | | X | | X | Fair |
Qiu et al. [21] | Examine the health effects of environmental triggers on asthma | Longitudinal time-series | Hospital Authority Corporate Data Warehouse | Hong Kong Observatory | | | X | X | | Fair |
Rossi et al. [22]³ | Evaluate the relationships between EDVs for asthma attacks and the meteorological, aerobiological, and chemical characteristics of the outdoor air | Time-series | University Central Hospital | Measured at the meteorological station in the city of Oulu | | | X | X | | Fair |
Soneja et al., 2016 | Investigate the association between exposure to extreme heat and precipitation events and risk of hospitalization for asthma | Case-crossover | Maryland Department of Health and Mental Hygiene | National Climatic Data Center | | X | | | X | Fair |
Zhang et al. [9] | Evaluate the short-term effects of daily mean temperature on asthma HAs. | Time-series | Health Insurance System of Shanghai | Shanghai Center for Urban Environmental Meteorology | | X | X | | X | Good |
Andrew et al. [23] | Assess the demand for emergency medical services during epidemic thunderstorm asthma | Time-series | Ambulance Victoria data warehouse and emergency service telecommunication | Australian Bureau of Meteorology | | | | X | | Good |
Thien et al. [24] | Investigate the effect of thunderstorm asthma on health services and patient risk factors | Cross-sectional | Ambulance Victoria, the Victorian Department of Health and Human Services Victorian, Australian and New Zealand Intensive Care Society Adult Patient Database, census data | Australian Bureau of Meteorology | | | | | | |
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