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Evaluating Response Time in Zanzibar's Malaria Elimination Case-Based Surveillance-Response System.
Eeshan Khandekar1, Randall Kramer1, Abdullah S Ali2
1Duke Global Health Institute, Duke University, Durham, North Carolina.
The American Journal of Tropical Medicine and Hygiene
|December 12, 2018
Summary
Timeliness of Zanzibar's malaria surveillance-response system, Malaria Case Notification (MCN), varied by district but not by time or case numbers. Effective program management, not just technology, is crucial for optimal malaria elimination efforts.
Area of Science:
- Public Health
- Epidemiology
- Health Systems Research
Background:
- Malaria elimination programs increasingly depend on surveillance-response systems.
- Timeliness is a critical metric for evaluating the effectiveness of these systems.
- Mobile and web-based tools support reporting in many malaria surveillance efforts.
Purpose of the Study:
- To investigate the response time of Zanzibar's Malaria Case Notification (MCN) system.
- To identify factors influencing response time within the surveillance-response system.
- To assess the operational efficiency of malaria case investigation.
Main Methods:
- A mixed-methods approach was employed.
- Quantitative analysis of response time data from Zanzibar Malaria Elimination Program (ZAMEP).
- Qualitative data from surveys and focus groups with health workers and surveillance officers.
Main Results:
- Response time in Zanzibar districts ranged from 0.6 to 6.05 days.
- Response time did not show association with calendar time or the number of reported malaria cases.
- Operational challenges, including incomplete records and transport issues, were identified, linked to program management deficiencies.
Conclusions:
- Effective program management is essential for timely malaria case response, even with automated tools.
- Technological solutions alone are insufficient for optimal surveillance-response system performance.
- Malaria programs must prioritize robust management practices to support elimination goals.