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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jul 19, 2025
Date Accepted: Jun 15, 2026

The final, peer-reviewed published version of this preprint can be found here:

Describing a National Chatbot Deployed by the Ministry of Health in Malawi During the COVID-19 Pandemic: Retrospective Data Analysis

Ndemera I, Hsieh YS, Chirwa K, Ngwira S, Alanna A, Wu TSJ, Lee Hy, Chirambo GB, Yosefe S, Chilima B, Kagoli M, Mbakaya B, Yu KLJ, O'Donoghue J

Describing a National Chatbot Deployed by the Ministry of Health in Malawi During the COVID-19 Pandemic: Retrospective Data Analysis

J Med Internet Res 2026;28:e80960

DOI: 10.2196/80960

PMID: 42462223

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Evaluating a National Chatbot Deployed by the Ministry of Health in Malawi during the COVID-19 Pandemic: A Retrospective Data Analysis

  • Isaach Ndemera; 
  • YuTing Sunny Hsieh; 
  • Kingston Chirwa; 
  • Selemani Ngwira; 
  • Alanna Alanna; 
  • Tsung Shu Joseph Wu; 
  • Hsin-yi Lee; 
  • Griphin Baxter Chirambo; 
  • Simeon Yosefe; 
  • Ben Chilima; 
  • Matthew Kagoli; 
  • Balwani Mbakaya; 
  • Kwong Leung Joseph Yu; 
  • John O'Donoghue

ABSTRACT

Background:

Malawi, was one of the pioneering countries across Africa to implement a coordinated government-led effort to streamline COVID-19 support with digital health tools. In response to the pandemic, a COVID-19 WhatsApp chatbot was developed to enable citizens to self-register as potential cases, report symptoms, and access essential information

Objective:

This study evaluates the national cross-intervention use of the WhatsApp chatbot during the COVID-19 pandemic in Malawi.

Methods:

A retrospective analysis examined user engagement with key chatbot functions, while a time-series analysis compared trends in COVID-19 cases with access patterns to both the chatbot and the call center of the Emergency Operations Center (EOC) and Chipatala Cha Pa Foni (CCPF), offering insights into public interaction throughout the pandemic

Results:

The chatbot was accessed 818,426 times, with 70% of validated WhatsApp accesses focused on COVID-19 statistics. Chatbot usage patterns closely aligned with COVID-19 case trends, particularly during the first and second pandemic waves, and surged after social lockdown events. Throughout the pandemic, the chatbot experienced 38% downtime, the most prolonged period coinciding with the national vaccine rollout in 2021, which required the addition of vaccine-related functionalities. Following this expansion, the chatbot received 198 COVID-19 vaccine-related rumors and recorded 644 accesses to vaccine frequently asked questions.

Conclusions:

The chatbot’s adaptability in meeting emerging needs, such as providing real-time COVID-19 statistics and vaccine information, demonstrates its value as an effective digital health tool during a rapidly evolving pandemic


 Citation

Please cite as:

Ndemera I, Hsieh YS, Chirwa K, Ngwira S, Alanna A, Wu TSJ, Lee Hy, Chirambo GB, Yosefe S, Chilima B, Kagoli M, Mbakaya B, Yu KLJ, O'Donoghue J

Describing a National Chatbot Deployed by the Ministry of Health in Malawi During the COVID-19 Pandemic: Retrospective Data Analysis

J Med Internet Res 2026;28:e80960

DOI: 10.2196/80960

PMID: 42462223

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