Both Neura and Kayma provided real-world, real-life, real-time intelligence that resulted in accurate, updated answers in spaces where others run surveys to obtain retrospective aggregations. Traditionally, consultancies such as Accenture and McKinsey, provide insights, but they are delayed and often rely on survey data, whereas Neura runs the real-life intelligence – or the brainpower – behind the insights.
The behavioral analysis Neura does leads to a deeper understanding of the impact of the presented problems such as the decline in seniors’ health and how it affects movement, sociability, and population indicators in real-time. The ability to pinpoint where the impact was occurring: which cities, neighborhoods, etc., can be used to effectively deploy services, support, and additional resources for the elderly population.
Specific issues, such as where financial support is needed, what neighborhoods have more job losses than others, or people not traveling, etc., can be addressed directly. Real-time population gatherings and attendance in community centers show whether these centers are in high demand and why people are going there – be it for sociability or for food.
Neura uses quantifiable data to measure crucial aspects indicative of larger insights, such as the number of steps a person takes, which can be an activity gauge for overall health, movement, and independence. This shows someone’s change in mobility, showing when that declines, and thus leads to the greater decline of overall health.
Further these insights show the number of times someone leaves home and where they are going, and the social implications of their actions. If they’re going to the grocery store, it shows independence and that they are still able to provide for themselves, and heading to a community center indicates sociability. The distance traveled from home can show how independent someone is and how matriculated into society they are. Which answers the question of mental health and cognitive ability.
From studying these factors across the elderly population in the 80 cities Neura found three highly specific areas that required immediate further action and thus the utilization of the external tools specifically designated for elderly decline.
- Independence: 22 cities that showed a 50% change in leaving the house
Neura pinpointed the cities that desperately need extra food services, personal at-home checkups, and calls
- Mobility: 16 cities had greater than 55% change in physical movement, while two studies showed emergency need for assistance due to extreme indications of complete lack of mobility
- Sociability: poinpointed 15 cities with a greater than 40% drop in social interactions indicating loneliness
From these tangible findings, Neura was able to provide concrete information identifying the cities and neighborhoods that experienced detrimental impacts on the aging population, exacerbated by the Coronavirus pandemic.
This information was given to relevant ministries, government organizations, nonprofits, and community organizations to provide the specific services needed in each individual community most struggling with graceful aging.
Our partnership didn’t end with these three conclusions. We continue to work with, examine, and review Neura’s analytics dashboard which shares real-time information on the sociability, independence, and mobility of the aging population across the 80 cities in order to adjust, rework, and continue to provide specific, highly relevant, concrete initiatives and recommendations to relevant organizations in order to help minimize the detrimental impacts of elderly decline, and promote long, healthy, and happy lives for aging communities.