Wilmer Stalin Erazo

Papers

Total Citations

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About

Wilmer Stalin Erazo is a researcher at the forefront of applying artificial intelligence to public health challenges, with a particular focus on leveraging AI-driven conversational agents to strengthen healthcare systems. His most-cited work, “Chatbot Implementation to Collect Data on Possible COVID-19 Cases and Release the Pressure on the Primary Health Care System” (2020, 23 citations), exemplifies his commitment to developing practical, scalable solutions during global health emergencies. In this influential study, Erazo demonstrated how intelligent chatbots could efficiently triage potential COVID-19 cases, reducing the burden on overstretched primary care facilities and enabling faster, data-driven decision-making. His research sits at the intersection of AI, digital health, and crisis management, showcasing how automation can be harnessed to improve public health outcomes. Beyond this landmark paper, Erazo’s work continues to explore the integration of conversational AI into healthcare workflows, emphasizing real-world impact and accessibility. His contributions have been recognized for their timeliness and relevance, offering a blueprint for how technology can support health systems under pressure. For students and researchers interested in AI for social good, Erazo’s research provides a compelling example of how intelligent systems can directly address pressing societal needs.