From legacy systems to real-time response: VPD-SMART implementation and its impact on public health surveillance in Paraguay and the Americas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the Americas, traditional public health surveillance systems often face a significant data-use gap, hindering a timely response to vaccine-preventable diseases (VPDs). This manuscript details the implementation of VPD-SMART, a novel DHIS2-based system, as a digital transformation initiative to enhance VPD surveillance and bridge this gap. We analyze Paraguay's transition from the legacy Integrated Surveillance Information System (ISIS) to VPD-SMART, focusing on how its functionalities, including real-time decentralized data collection and enhanced analysis, improve the performance of health information systems. We find that the transition to VPD-SMART significantly improved data quality, consistency, and timeliness. A quantitative analysis showed a notable increase in data completeness and a rise in consistency for key variables from 54 % to 97 %. The average time for data entry also decreased, shifting from a weekly to a daily basis. Qualitative findings confirm that the system empowers health authorities with real-time, data-driven insights. By examining these challenges and opportunities, we provide empirical evidence on how leveraging DHIS2 can enhance public health surveillance and inform similar digital transformation efforts in other low- and middle-income countries.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it