The impact of temperature and relative humidity on spatiotemporal patterns of infant bronchiolitis epidemics in the contiguous United States

Sloan, Chantel D.; Heaton, Matthew J.; Kang, Sorah; Berrett, Candace; Wu, Pingsheng; Gebretsadik, Tebeb; Sicignano, Nicholas; Evans, Amber; Lee, Rees L.; Hartert, Tina V.

doi:10.1016/j.healthplace.2017.02.010

Cited by 16 publications

(18 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In comparison, seasons on the West coast tended to peak around February or March 2013. This agrees with the findings of Sloan et al who also saw an earlier onset of the bronchiolitis in the southeast.…”

Section: Application To Military Data Repositorysupporting

confidence: 93%

“…Recall that the baseline probability, logit −1 ( α r ), should be low so as to reflect an offseason rate. Previous works estimate that these offseason probabilities should be approximately spatially constant with a mean rate of 0.001 (ie, α r ≈ − 6.6 for all r ) and no offseason probability should exceed 0.005 (ie, α r < −5.8 for all r ). Hence, we assume the informative prior

θ_{α 0} \sim scriptN false(- 6.6, 0.0 1^{2} false)

and

{bold-italicθ}_{α} \sim scriptN false(bold0, false(0.2 7^{2} false) bold-italicI false)

to reflect these prior beliefs.…”

Section: A Spatio‐temporal Change Point Modelmentioning

confidence: 99%

“…In temperate northern climates, RSV primarily circulates between the months of November and April. However, when a seasonal epidemic begins varies from location to location . Hospitalization season begins earlier and persists longer than the beginning and end of bronchiolitis season for the general population, making understanding of seasonal timing imperative to reducing bronchiolitis rates among high‐risk groups.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data

Pugh

Heaton

Hartman

et al. 2019

Statistics in Medicine

Self Cite

View full text Add to dashboard Cite

RSV bronchiolitis (an acute lower respiratory tract viral infection in infants) is the most common cause of infant hospitalizations in the United States (US). The only preventive intervention currently available is monthly injections of immunoprophylaxis. However, this treatment is expensive and needs to be administered simultaneously with seasonal bronchiolitis cycles in order to be effective. To increase our understanding of bronchiolitis timing, this research focuses on identifying seasonal bronchiolitis cycles (start times, peaks, and declinations) throughout the continental US using data on infant bronchiolitis cases from the US Military Health System Data Repository. Because this data involved highly personal information, the bronchiolitis dates in the dataset were "jittered" in the sense that the recorded dates were randomized within a time window of the true date. Hence, we develop a statistical change point model that estimates spatially varying seasonal bronchiolitis cycles while accounting for the purposefully introduced jittering in the data. Additionally, by including temperature and humidity data as regressors, we identify a relationship between bronchiolitis seasonality and climate. We found that, in general, bronchiolitis seasons begin earlier and are longer in the southeastern states compared to the western states with peak times lasting approximately 1 month nationwide.

show abstract

Section: Application To Military Data Repositorysupporting

confidence: 93%

θ_{α 0} \sim scriptN false(- 6.6, 0.0 1^{2} false)

and

{bold-italicθ}_{α} \sim scriptN false(bold0, false(0.2 7^{2} false) bold-italicI false)

to reflect these prior beliefs.…”

Section: A Spatio‐temporal Change Point Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data

Pugh

Heaton

Hartman

et al. 2019

Statistics in Medicine

Self Cite

View full text Add to dashboard Cite

show abstract

“…Similar approaches have been applied to characterize the food environment (Fiechtner et al 2015(Fiechtner et al , 2016. There are also multiple sources of atmospheric pollution in the US (B. Duncan 2014), which can provide insights into pulmonary conditions (C. D. Sloan and Johnston 2016), along with other transient, spatiotemporal factors like weather (C. Sloan et al 2017).…”

Section: Information On the Geographic Levelmentioning

confidence: 99%

Integrating Community-Level Data Resources for Precision Medicine Research

et al. 2017

Self Cite

View full text Add to dashboard Cite

Precision Medicine focuses on collecting and using individual-level data to improve healthcare outcomes. To date, research efforts have been motivated by molecular-scale measurements, such as incorporating genomic data into clinical use. In many cases however, environmental, social, and economic factors are much more predictive of health outcomes, yet are not systematically used in clinical practice due to the difficulties in measurement and quantification. Advances in both the availability of electronic health information, environmental exposure data, and the more systematic use of geo-coding now provide ways to systematically assess community-level indicators of health, and link these factors to electronic health records for evaluating their influence on disease outcomes. In this workshop, we discuss new electronic sources of community-level data, and provide insight into their utility and validity when compared with gold-standard data collection approaches.

show abstract

“…[12] In European countries with temperate climates, for example, RSV infections were seen to be associated with lower air temperatures and higher relative humidity. [13,14] Such studies have not been conducted in North America. In this study we aimed to determine whether temperature, namely the mean minimum daily temperature during the time of likely exposure to RSV is associated with the frequency of RSV hospitalizations in Ontario, Canada.…”

Section: Introductionmentioning

confidence: 99%

The association between climate, geography and respiratory syncitial virus hospitalizations among children in Ontario, Canada: a population-based study

Radhakrishnan¹,

Ouedraogo

Shariff

et al. 2019

Preprint

View full text Add to dashboard Cite

Background: Respiratory syncytial virus (RSV) infection is a major cause of hospitalization in young children in Canada, despite routine immunoprophylaxis in those with medical risk factors. We aimed to determine if cold temperatures are associated with RSV hospitalization.Methods: We conducted a population-based nested case-control study of children in Ontario, Canada, using health administrative data. We compared children hospitalized for RSV between September 1, 2011 and August 31, 2012 to age and sex matched controls. We used multivariable logistic regression to identify associations between minimum daily temperature and RSV hospitalizations with adjustment for sociodemographic and environmental factors.Results: We identified 1670 children with RSV hospitalizations during the study period and 6680 matched controls. Warmer temperatures (OR=0.94, 95%CI: 0.93, 0.95) were associated with lower odds of RSV hospitalization. Southern ecozone (OR=1.6, 95%CI: 1.2, 2.1), increased ozone concentration (OR=1.03, 95%CI: 1.01, 1.06) and living in a lower income neighbourhood (OR=1.3, 95%CI: 1.1, 1.5) significantly increased the odds of RSV hospitalization, as did living in a household with a larger number of siblings in a sub-cohort of children (OR=1.34, 95%CI: 1.26, 1.41).Conclusions: In Ontario, the likelihood of having an RSV hospitalization is associated with colder temperature exposures and socioeconomic factors.

show abstract

The impact of temperature and relative humidity on spatiotemporal patterns of infant bronchiolitis epidemics in the contiguous United States

Cited by 16 publications

References 25 publications

Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data

Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data

Integrating Community-Level Data Resources for Precision Medicine Research

The association between climate, geography and respiratory syncitial virus hospitalizations among children in Ontario, Canada: a population-based study

Contact Info

Product

Resources

About