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LESSONS FROM HISTORY OF SOCIOECONOMIC IMPROVEMENTS: A NEW APPROACH TO TREATING MULTI-DRUG-RESISTANT TUBERCULOSIS

Published online by Cambridge University Press:  08 October 2013

K. L. HOLLOWAY*
Affiliation:
Biological Anthropology and Comparative Anatomy Research Unit, University of Adelaide, Australia
K. STAUB
Affiliation:
Centre for Evolutionary Medicine, Institute of Anatomy, Zürich, Switzerland
F. RÜHLI
Affiliation:
Centre for Evolutionary Medicine, Institute of Anatomy, Zürich, Switzerland
M. HENNEBERG
Affiliation:
Biological Anthropology and Comparative Anatomy Research Unit, University of Adelaide, Australia
*
1Corresponding author. Email: khollo@barwonhealth.org.au
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Summary

This study investigated the trends in tuberculosis mortality through time in Switzerland. Information on the decline in mortality before chemotherapies were introduced may be useful in developing countries where drug-resistant tuberculosis is now becoming a major problem. Swiss data were collected from historical records and comparative data were obtained from the literature for England and Wales, New York, Japan, Brazil and Sierra Leone. Logistic curves were fitted to examine the rate of decline before introduction of pharmacotherapies and these show that the decline would have continued without the introduction of chemical therapies, including antibiotics. In Switzerland, England and Wales and New York, the decline had occurred long before the introduction of specific anti-tuberculosis agents. In Brazil and Japan, chemical therapy was co-incident with the decline in tuberculosis mortality rates. Overall, it is suggested that the effective control of tuberculosis can be achieved through a combination of chemical interventions, conservative therapy (rest, good nutrition, ventilation, etc.) as well as public health interventions addressing hygiene, nutrition, reducing exposure to infections and educating the population about tuberculosis.

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Articles
Copyright
Copyright © Cambridge University Press 2013 
Figure 0

Fig. 1. Tuberculosis mortality rate per 100,000 population for Canton Zürich (diamonds) and the City of Zürich (line) in Switzerland. Data for Canton Zürich cover 1840 to 1943. The City of Zürich data cover 1893 to 1933. Historical dates associated with tuberculosis prevention and control are included.

Figure 1

Fig. 2. Tuberculosis mortality rate per 100,000 population for England and Wales between 1838 and 2006. Historical dates associated with tuberculosis prevention and control are included.

Figure 2

Fig. 3. Tuberculosis mortality rate per 100,000 population for New York (United States) between 1880 and 1950. Historical dates associated with tuberculosis prevention and control are included.

Figure 3

Fig. 4. Tuberculosis mortality rate per 100,000 population for Japan between 1886 and 2006. Historical dates associated with tuberculosis prevention and control are included.

Figure 4

Fig. 5. Tuberculosis mortality rate per 100,000 population for Brazil (1900 to 1990) and Sierra Leone (1990 to 2010).

Figure 5

Fig. 6. Tuberculosis mortality rate per 100,000 population for Switzerland for 1867 to 2005. A logistic curve with R2=0.993 has been fitted to the data. The logistic fit has been extrapolated. The inset shows a closer view of the time when streptomycin was first introduced. Symbols correspond to the real data, the solid line is the logistic fit and the dashed line is an extrapolation of the logistic fit using only the first equation (pre-pharmacotherapy).

Figure 6

Fig. 7. Tuberculosis mortality rate per 100,000 living for England and Wales for 1878 to 1950. A set of three logistic curves with R2=0.995 has been fitted to the data. The logistic fit has been extrapolated. Symbols correspond to the real data, the solid line is the logistic fit and the dashed line is an extrapolation of the logistic fit using the second logistic curve (pre-pharmacotherapy).

Figure 7

Fig. 8. Tuberculosis mortality rate per 100,000 living for New York (United States) for 1878 to 1950. A logistic curve with R2=0.971 has been fitted to the data. The logistic fit to pre-pharmacotherapy data has been extrapolated. Symbols correspond to the real data, the solid line is the logistic fit and the dashed line is an extrapolation of the logistic fit.

Figure 8

Fig. 9. Tuberculosis mortality rate per 100,000 living for New York (United States) for 1878 to 1950. The data for 1878 to 1897 have been modified from Fig. 8 due to under-reporting before the introduction of compulsory recording of TB cases in 1898. A logistic curve with an R2 value of 0.996 has been fitted to the data.