Evidence map›Paper›PMID 36762165›Full record

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.

Kudzai Madamombe, Mujinga Karakadzai, Gift Masoja, Tapiwa Dhliwayo, Tsitsi Juru, Addmore Chadambuka, Emmanuel Govha, Notion Gombe, Mufuta Tshimanga

Abstract read
In one paragraph

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.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kudzai MadamombeDepartment of Primary Health Sciences, Family Medicine/Global and Public Health Unit, University of Zimbabwe, Harare, Zimbabwe.
Mujinga KarakadzaiZimbabwe Community Health Intervention Research, Harare, Zimbabwe.
Gift MasojaZimbabwe Ministry of Health and Child Care, Mashonaland West, Zimbabwe.
Tapiwa DhliwayoZimbabwe Ministry of Health and Child Care, Mashonaland West, Zimbabwe.
Tsitsi JuruDepartment of Primary Health Sciences, Family Medicine/Global and Public Health Unit, University of Zimbabwe, Harare, Zimbabwe.
Addmore ChadambukaDepartment of Primary Health Sciences, Family Medicine/Global and Public Health Unit, University of Zimbabwe, Harare, Zimbabwe.
Emmanuel GovhaDepartment of Primary Health Sciences, Family Medicine/Global and Public Health Unit, University of Zimbabwe, Harare, Zimbabwe.
Notion GombeAfrica Field Epidemiology Network, Harare, Zimbabwe.
Mufuta TshimangaDepartment of Primary Health Sciences, Family Medicine/Global and Public Health Unit, University of Zimbabwe, Harare, Zimbabwe.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

Health Knowledge, Attitudes, PracticeHealth PersonnelCross-Sectional StudiesHumansSurveys and QuestionnairesZimbabweMakondeWeekly disease surveillanceZimbabwe

Identifiers

PMID36762165
PMCPMC9898767

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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.