ArticleThe Pan African medical journal2022
Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study.
Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Community Health and Demographic Surveillance System for Noncommunicable Disease Epidemiology Among Adults in Rural and Urban Zimbabwe, 2024-2029: Protocol for a Longitudinal Surveillance Study.JMIR research protocols · 2026Article
- Establishing a community event-based surveillance system in Kadoma City, Zimbabwe: a mixed-methods study protocol.BMJ public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: the weekly disease surveillance system (WDSS) is a tool used to provide an early warning of potential public health threats in Zimbabwe. In 2020, Makonde District failed to detect an anthrax outbreak at one of its facilities, this untimely and poor response of the district increased morbidity. We evaluated the weekly disease surveillance system to determine reasons for missing outbreaks and determine the usefulness of the system in the detection of outbreaks. Methods: we conducted descriptive cross-sectional study using updated Centres for Disease Control and Prevention guidelines for surveillance system evaluation. We recruited 46 health workers. A structured pretested interviewer-administered questionnaire was used to collect data on reasons for missing outbreaks, knowledge, usefulness and surveillance system attributes. Data were cleaned and bivariate analysis was conducted. Results: health workers found the system simple (85%), acceptable (75%) and flexible (60%). However, we found only 5 (11%) health workers could correctly describe the surveillance system, only 2 (3%) were trained in disease surveillance, only 31 (65%) sent data on time, 57% of clinics had stock outs of forms, 60% of forms had entries with 100% of the data filled out and 22 (46%) of health workers analysed the data gathered and used it in meetings. Conclusion: the surveillance system was simple, flexible, acceptable, but unstable, untimely and not useful. There was poor knowledge on the surveillance system, health workers were not trained on disease surveillance, and quality of data was poor. Health workers should be trained in surveillance and data validation and adequate reporting tools provided.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.