The COVID-19 pandemic is the most important public health crisis of the 21st century thus far. This disease, caused by the viral strain SARS-CoV-2, has taken the lives of at least 7 million people worldwide, though this is likely an underestimation due to lack of reporting. It has also caused tens of millions of people to develop Long COVID. COVID-19 is a multi-vascular diseases, far more complex than a cold or a flu, and as it continues to circulate, the short- and long-term health outcomes of this virus should be researched intensively. As many other viruses have been shown to cause adverse pregnancy outcomes such as miscarriage, low birth weight, and fetal death, it is worth investigating whether COVID-19 could have similar impacts. The aim of this study is to create a model to investigate the relationship between COVID-19 infections and stillbirth, an adverse pregnancy outcome, in Alberta. In this study, we simulated stillbirth data for ten municipalities using publicly available birth data from the Government of Alberta, and compared it with COVID-19 wastewater data from Alberta Health. In order to connect two different periods of data collection protocols, we used Estimated Marginal Means to attempt to create a cohesive data model. We created a linear mixed model with our simulated stillbirth data, to look for correlation at the municipal level. As this is a model, we cannot draw any meaningful results from our analysis, however, we have created a potential method for analyzing this relationship, if the data became available.Â