Vaxequity

Our Goal is to Enhance Health Equality.

Our team created a health equality database, organizing the selected resources related to equality criteria and health issues (COVID19 as an ongoing example) available in Toronto. We organized and cured the Toronto census data including age, gender, income, ethnicity, count of covid cases, location of the immunization clinics, and neighbourhoods.

Mission

Health Equality

Equality is eliminating the differences among groups of people. These groups can be defined based on their gender, economical, demographical, or geographical status. Health inequalities concern health factors and access to the resources required to improve and maintain health. They also involve a failure to avoid or overcome inequalities that infringe on fairness and human rights norms. Enhancing health equities is vital because health is a basic human right. Some groups of people are more vulnerable than others when facing health issues. This vulnerability could be a result of some characteristics.

Covid19 Immunization Equality

Out of all, some common characteristics that increase the vulnerability of people against health issues are age, income, gender, and ethnicity. Considering COVID19 the rate of reported cases varies in different neighbourhoods. Some neighbourhoods have a significantly higher rate of cases than others. If a group of vulnerable people live in the same neighbourhood, the health risk will dramatically be higher compared with the same rate of COVID cases in a low vulnerable neighbourhood. The question is that how we can help to balance this risk (generated by the vulnerability of groups of people and the high rate of COVID cases).

Our Solution

The solution goes beyond empowering these vulnerable groups through systemic changes, such as law reform or changes in economic or social relationships. Simultaneously, reducing the health issues among these groups of society can be as effective and valuable. One way to do so is to increase the access to maintain health (e.g., immunization clinics). By enhancing health equality that results from differences in facilities that help in maintaining health, we can offer vulnerable groups the opportunity to enjoy life and pursue one's life plans.

Features

Statistics chart

The statistics chart feature, presents the equality rate for each neighbourhood.

Indicators

Indicators, allows for investigating the all key contributing criteria per neighbourhood.

Equality gage

Immunization equality gage, shows the equality percentage, with 100% means the most equality in the neighbourhood.

Near me

near me let us to search the surrounding of any location in the map using current location, address, or pinpoint to find the closest clinics in a defined radius.

Our team created a health equality database, organizing the selected resources related to equality criteria and health issues (COVID19 as an ongoing example) available in Toronto. We organized and cured the Toronto census data including age, gender, income, ethnicity, count of covid cases, location of the immunization clinics, and neighbourhoods. The group of vulnerable people were identified through geospatial analysis (overlaying) of the four selected criteria for vulnerability (age, gender, income, ethnicity). The method for overlaying was on the multicriteria decision-making basis (MCDM), based on which all criteria were brought to an identical unit (percentage). It was through rescaling to percentage, normalization by the maximum value of neighbourhoods.

Data Layer	Original data	Value = 0%	Value = 100%
Age	< 6 & > 65 years old	Zero population with these criteria live in this neighbourhood	Maximum population with this criterion lives in this neighbourhood (compared with other neighborhoods)
Gender	Population of female living in the neighborhood	Zero population with these criteria live in this neighbourhood	Maximum population with this criterion lives in this neighbourhood (compared with other neighborhoods)
Ethnicity	Population of first nations	Zero population with these criteria live in this neighbourhood	Maximum population with this criterion lives in this neighbourhood (compared with other neighborhoods)
Income	Annual income of the neighbourhood	Highest income	Lowest Income
Covid cases	Count of cases per neighborhood	Zero cases of Covid were reported in the neighbourhood	Highest count of cases lives in this neighbourhood
Vulnerability	Age, gender, ethnicity, and income were overlaid to create this data set	Low vulnerable people live in this neighbourhood	Highly vulnerable people live in this neighbourhood
Risk	Vulnerable people in vicinity of Covid cases	Low risk (Covid cases and vulnerability is low)	High risk (Covid cases and vulnerability is low)
Immunization clinics (as health facility)	Count of immunization clinics per population of neighborhood	Zero clinics in the neighbourhood	Maximum count of clinic in the neighbourhood (compared with others)
Item Four	Vitae integer tempus condimentum.	19.99	Gender
Equity	Comparison of Risk (vulnerable groups and covid cases in the neighbourhood) and Immunization clinics (count of clinics)	Maximum equality (risk is high but the number of clinics is low, OR, the risk is low but the number of clinics is high)	Maximum equality (risk and number of clinics are both high, OR, risk and number of clinics are low)