Laura Rosella

Last updated
Laura C. A. Rosella
Alma mater University of Toronto
Scientific career
InstitutionsUniversity of Toronto
Thesis A population based approach to diabetes mellitus risk prediction : methodological advances and practical applications.  (2009)

Laura C. A. Rosella is a Canadian epidemiologist who is an Associate Professor at the Dalla Lana School of Public Health in the University of Toronto. She studies public health and the social determinants of health. Rosella holds a Canada Research Chair in Population Health Analytics.

Contents

Early life and education

Rosella was an undergraduate student at the University of Toronto, where she majored in health science and epidemiology. [1] She remained at the University for her graduate studies, where she evaluated public health risk in people with diabetes mellitus. [2]

Research and career

Rosella is a professor at the Dalla Lana School of Public Health at the University of Toronto. [3] Rosella is the Scientific Director of the Population Health Analytics Laboratory. [4] She has looked to prevent diabetes, through regular screenings and partnerships with provincial health ministries. [1] She developed DPoRT, a Diabetes Population Risk Tool which identifies the optimum cut offs for health screenings to prevent adverse medical outcomes. [5] At the same time, Rosella investigates how people living with diabetes accumulate chronic conditions. She combines her understanding of social and behavioural risk factor data with an understanding of healthcare utilisation to eliminate persistent health inequalities. [1]

From 2018 to 2022, she served as president of the Canadian Society for Epidemiology and Biostatistics. [6]

In November 2020, Rosella joined the Institute for Better Health as the Stephen Family Research Chair in Community Health. [7] In this capacity she looks to improve public health decision making and promote the equitable distribution of healthcare. [7] Rosella has evaluated the use of machine learning in predicting population health. She found that the majority of machine learning applications only made use of traditional data sources, and rarely used big data. [8]

Rosella served as a member of the Ontario COVID-19 Science Advisory Table as a part of the group's Modelling Consensus Table. [9]

Awards and honours

Selected publications

Related Research Articles

<span class="mw-page-title-main">Type 2 diabetes</span> Form of diabetes mellitus

Type 2 diabetes (T2D), formerly known as adult-onset diabetes, is a form of diabetes mellitus that is characterized by high blood sugar, insulin resistance, and relative lack of insulin. Common symptoms include increased thirst, frequent urination, fatigue and unexplained weight loss. Symptoms may also include increased hunger, having a sensation of pins and needles, and sores (wounds) that do not heal. Often symptoms develop slowly. Long-term complications from high blood sugar include heart disease, stroke, diabetic retinopathy, which can result in blindness, kidney failure, and poor blood flow in the lower-limbs, which may lead to amputations. The sudden onset of hyperosmolar hyperglycemic state may occur; however, ketoacidosis is uncommon.

<span class="mw-page-title-main">Epidemiology of diabetes</span>

Globally, an estimated 537 million adults are living with diabetes, according to 2019 data from the International Diabetes Federation. Diabetes was the 9th-leading cause of mortality globally in 2020, attributing to over 2 million deaths annually due to diabetes directly, and to kidney disease due to diabetes. The primary causes of type 2 diabetes is diet and physical activity, which can contribute to increased BMI, poor nutrition, hypertension, alcohol use and smoking, while genetics is also a factor. Diabetes prevalence is increasing rapidly; previous 2019 estimates put the number at 463 million people living with diabetes, with the distributions being equal between both sexes icidence peaking around age 55 years old. The number is projected to 643 million by 2030, or 7079 individuals per 100,000, with all regions around the world continue to rise. Type 2 diabetes makes up about 85-90% of all cases. Increases in the overall diabetes prevalence rates largely reflect an increase in risk factors for type 2, notably greater longevity and being overweight or obese. The prevalence of African Americans with diabetes is estimated to triple by 2050, while the prevalence of whites is estimated to double. The overall prevalence increases with age, with the largest increase in people over 65 years of age. The prevalence of diabetes in America is estimated to increase to 48.3 million by 2050.

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References

  1. 1 2 3 "BBDC Member Profile". Banting & Best Diabetes Centre. 2019-01-07. Retrieved 2021-05-30.
  2. Rosella, Laura C. A (2011). A population based approach to diabetes mellitus risk prediction: methodological advances and practical applications (Thesis). Ottawa: Library and Archives Canada = Bibliothèque et Archives Canada. OCLC   785764075.
  3. "Rosella, Laura C." Dalla Lana School of Public Health. Retrieved 2021-05-30.
  4. "Our Team". Population Health Analytics Laboratory | Toronto, ON. Retrieved 2021-05-30.
  5. Rosella, Laura C.; Manuel, Douglas G.; Burchill, Charles; Stukel, Thérèse A.; PHIAT-DM team (July 2011). "A population-based risk algorithm for the development of diabetes: development and validation of the Diabetes Population Risk Tool (DPoRT)". Journal of Epidemiology and Community Health. 65 (7): 613–620. doi:10.1136/jech.2009.102244. ISSN   1470-2738. PMC   3112365 . PMID   20515896.
  6. "Laura Rosella". University of Toronto. Retrieved 2024-08-21.
  7. 1 2 "IBH Welcomes New Research Chairs". Institute for Better Health. Retrieved 2021-05-30.
  8. Morgenstern, Jason Denzil; Buajitti, Emmalin; O'Neill, Meghan; Piggott, Thomas; Goel, Vivek; Fridman, Daniel; Kornas, Kathy; Rosella, Laura C. (2020-10-27). "Predicting population health with machine learning: a scoping review". BMJ Open. 10 (10): e037860. doi:10.1136/bmjopen-2020-037860. ISSN   2044-6055. PMC   7592293 . PMID   33109649.
  9. "Our Partners". Ontario COVID-19 Science Advisory Table . Archived from the original on 2022-09-02. Retrieved 2022-09-02.
  10. "PHO Scientist Wins Award from Canadian Society for Epidemiology and Biostatistics". Public Health Ontario. Archived from the original on 2021-06-02. Retrieved 2021-05-30.
  11. "Past Award Winners – Early Career – Society for Epidemiologic Research". 18 June 2014. Retrieved 2021-05-30.
  12. "Laura Rosella named a recipient of Canada's Top 40 Under 40". Dalla Lana School of Public Health. 2018-06-27. Retrieved 2021-05-30.
  13. "Three Out of Five DLSPH Projects Earn Connaught Community Project Awards". Dalla Lana School of Public Health. 2020-09-25. Retrieved 2024-08-21.
  14. "Laura Rosella". Canadian Institute for Advanced Research. 2023-07-09. Retrieved 2024-08-21.