Abstract
Author’s Responses to Peer Reviews of “Medical Brain Drain From Southeastern Europe: Using Digital Demography to Forecast Health Worker Emigration”
Highlights
All tested migration-related search queries that show an indication about health care worker OECD (HW)’ (HWs) emigration planning shows a positive linear association between Google index and data from official statistics (OECD): Serbia: R2=0.3381; Bosnia and Herzegovina Google Trends (GT) (B&H): R2=0.2722; Croatia: R2=0.4515
The increase in Google search is correlated with the increase in the number of emigrated HW from Croatia, Serbia, and B&H
On page 4, you say that 65,288 nurses emigrated, and I think you’re saying that there are more Croatian/Bosnian nurses in Germany than in Croatia and Bosnia; are you? Perhaps tighten up this sentence as it’s a strong statement. When we put these data on 65,288 emigrated HW from this region in context, we can see that this is a higher number than the total number of nurses in Croatia and B&H together. Without such intense emigration in the last 10 years, the regions of Croatia and the Western Balkans (WB) would have 50% more health workforce today
Summary
Correlation between Google search index for query “posao u Njemačkoj + medicinska sestra” (work in Germany + nurses) in Croatian and the Organisation for Economic Co-operation and Development (OECD) statistics for emigrated nurses from Croatia to Germany (annual inflow) Correlation between Google Search index for query “Arbeit in Deutschland + Arzt” (work in Germany + doctor) in B&H and the OECD statistics for emigrated doctors from B&H to Germany (annual inflow).
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