Using Historical Data to Improve Health Surveillance in Low-Income Countries
Author Information
Author(s): Peter Byass, Osman Sankoh, Stephen M. Tollman, Ulf Högberg, Stig Wall
Primary Institution: Umeå Centre for Global Health Research, Umeå University
Hypothesis
Can local health data from low- and middle-income countries be representative of national data?
Conclusion
Local data from certain counties in Sweden in 1925 can serve as reliable proxies for national health data, suggesting similar local data in low- and middle-income countries may also be representative.
Supporting Evidence
- Most counties in Sweden in 1925 had mortality rates within 10% of the national average.
- The study suggests that local data can be representative of national data in low- and middle-income countries.
- Historical data from Sweden shows similarities to current LMIC populations in terms of demographic and mortality patterns.
Takeaway
The study shows that local health data can be just as good as national data if chosen carefully, which is important for countries that don't have good national health records.
Methodology
The study analyzed historical Swedish national data from 1925 to compare local and national mortality rates.
Potential Biases
Potential biases due to the historical context and differences in health systems between Sweden in 1925 and contemporary LMICs.
Limitations
The study relies on historical data, which may not fully represent current conditions in low- and middle-income countries.
Participant Demographics
The study used data from the Swedish population in 1925, which had a high mortality rate and a low proportion of older individuals.
Digital Object Identifier (DOI)
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