Epidemiologi Kasus Malaria Terkonfirmasi Positif di Kabupaten Muna
Bibliographic record
Abstract
<p><em><span lang="EN-US">Malaria is one of the most common mosquito-borne infectious diseases in the world. Globally, deaths due to malaria infection reported in 2019 amounted to 405,000 deaths with a total number of sufferers of around 228 million cases. Although malaria cases have continued to decline in the last five years, including in Southeast Sulawesi Province, there are still regencies/cities in Southeast Sulawesi that have not been free from malaria. Therefore this disease continues to be a burden of pain. This study is a descriptive study using secondary data on positive confirmed malaria cases from the Southeast Sulawesi Provincial Health Office.This study aims to describe malaria cases in Muna Regency during the period from 2016 to 2020 based on epidemiological variables, namely people and time. The results showed that positive confirmed malaria cases in Muna Regency from 2016 to 2020 showed a significant decline. From the people variable, the majority 56.95% of positive confirmed malaria cases were men and only 43.05% were women. Meanwhile, based on the time in five years of observation, the highest prevalence of confirmed positive malaria occurred in 2016 and the lowest in 2020. Malaria prevention and control programs need to be carried out strictly to reduce morbidity and achieve malaria elimination programs in Muna Regency</span></em></p><p><strong><em>Key words</em></strong><em>: Malaria, confirmed positive, people, time. </em><em></em></p><p><em><br /></em></p>
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How this classification was reachedexpand
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".