The distributed lag between air pollution and daily deaths.

By Jasmine Schwartz. Epidemiology, 2000

647 citations recorded by the source corpus.

Subfields: Environmental Engineering, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/1ce092dc978365d91bccfe43583ad4ed9757e3e2

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In Environmental Engineering

In Health, Toxicology and Mutagenesis

Citations in the corpus

Attributable risk from distributed lag models (2014, methodology): “In time series analysis, a popular approach is based on distributed lag models (DLMs) [7,8], generalized to distributed lag non-linear models (DLNMs) when including non-linear exposure-response associations [9,10].”
Distributed lag non-linear models (2010, methodology): “To gain more precision in the estimate of the distributed lag curve, it is possible to impose some constraints, for example assuming a constant effect within lag intervals [18], or describing a smooth curve using continuous functions such as polynomials [5, 19] or splines [6].”
The effect of weather on respiratory and cardiovascular deaths in 12 U.S. cities. (2002, methodology): “If this is done flexibly, substantial gains in reducing the noise of the unconstrained distributed lag model can be obtained, with minimal bias (6).”
Ozone and short-term mortality in 95 US urban communities, 1987-2000. (2004, positive): “Because ozone concentrations are typically available daily, at the first stage of our analysis we extend previous approaches to develop constrained and unconstrained distributed-lag models.(26,28-34) Distributed-lag models are appropriate for estimating relative rates of mortality associated with ex”
Distributed Lag Linear and Non-Linear Models in R: The Package dlnm (2011, methodology): “Several alternatives have been proposed, from an unconstrained DLM (simply a parameter for each xt−` with ` ∈ `) (Hajat et al. 2005), to the use of strata (Pattenden et al. 2003), polynomials (Schwartz 2000) or splines (Zanobetti et al. 2000; Armstrong 2006).”
Heat-related and cold-related deaths in England and Wales: who is at risk? (2006, result): “42 However, results using this approach were largely unchanged.”
The National Morbidity, Mortality, and Air Pollution Study. Part II: Morbidity and mortality from air pollution in the United States. (2000, methodology): “In NMMAPS, the analyses of the hospitalization data have been carried out using distributed lag models (Schwartz 2000b), a further advance in time-series models applied to air pollution and health.”
Chronic Exposure to Fine Particles and Mortality: An Extended Follow-up of the Harvard Six Cities Study from 1974 to 2009 (2012, methodology): “5 exposure to be distributed from 1 to 5 years before death or censor (Lepeule et al. 2006; Schwartz 2000); using predicted PM2.”
Modeling exposure–lag–response associations with distributed lag non-linear models (2013, neutral): “Interestingly, equivalent approaches were previously established in time series analysis, on the basis of distributed lag models (DLMs), a methodology originally formulated in econometrics [21], then applied in epidemiological research [22].”