Implementing humanitarian assistance, global health, and adaptive development programs poses data collection and analytical challenges that inhibit impact maximization. Premise can help implementers validate and optimize program performance against key objectives.
VECTOR SURVEILLANCE AND CONTROL FOR INFECTIOUS DISEASES
The Premise Contributor App and Network can be used to digitize vector surveillance and control activities for government workers while complementing such efforts with surveillance by community members. These networks enhance each other by amplifying efforts to detect infectious diseases and populating real-time risk models. Insights are gathered using our analytics platform to improve operations and optimize mitigation efforts.
MONITORING RADICALIZATION AND VULNERABILITY TO VIOLENT EXTREMISM
Premise’s contributor networks can be used to gather grievance data and local radicalization and instability drivers in areas where violent extremist organizations recruit and operate. Development implementers use this data to tailor interventions down to generate potential program activities to support countering violent extremism (CVE) and stabilization initiatives.
PATIENT ADHERENCE TO MEDICAL TREATMENT PLANS
Many public health initiatives fail because patients lack the support system to adhere to strict medication schedules, complex dosage requirements, and to comply with follow-ups clinic visits and check-ups. The Premise Contributor App reminds participants to take medications, simplifies dosage management, and incentivizes patients through monetary rewards while giving clinicians the data they need to develop differentiated treatment protocols.
SENTIMENT SURVEYS AND QUALITY OF SERVICE FEEDBACK FROM BENEFICIARIES
Collect feedback directly from beneficiaries and populations affected by shocks, including refugee use of services and sentiment on integration into society, happiness with economic opportunities, or education, health and other essential service provision.
Add Ground Truth data into your decision-making process.