Noble goals, unforeseen consequences: control of tropical diseases in colonial Central Africa and the iatrogenic transmission of blood‐borne viruses
Bibliographic record
Abstract
BACKGROUND: In southern Cameroon, 40-50% of individuals born before 1945 have antibodies against hepatitis C virus (HCV), suggesting massive iatrogenic transmission of at least one blood-borne virus in the region of the world where SIV(cpz) emerged into HIV-1. OBJECTIVE: To estimate the potential role of disease control programs that used intravenous (IV) drugs in the transmission of blood-borne viruses, especially HCV. Methods We reviewed, for 1921-1959, records of health services in Cameroun, Oubangui-Chari, Gabon and Moyen-Congo. We calculated the incidence of diseases whose treatment required the administration of IV drugs, and compared these with previously published data on HCV prevalence. RESULTS: Several IV drugs were used against African trypanosomiasis, leprosy, yaws and syphilis. However, yaws was the only disease whose incidence was high enough so that up to half of some birth cohorts could have acquired HCV. Yaws incidence varied dramatically between regions, and was often >200 per 1000 per year in southern Cameroon, where extremely high HCV prevalence was found. Yaws incidence peaked between 1935 and 1955, a period which coincided with the emergence of HCV and HIV. CONCLUSION: Age, geographical and temporal distributions of yaws suggest that the HCV epidemic in Cameroon was driven by campaigns against yaws (and, secondarily, syphilis) using arsenicals and other metallic drugs. The same interventions may have exponentially amplified other blood-borne viruses, including SIV(cpz)/HIV-1.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".