COVID-19, Non-Pharmaceutical Intervention, Lockdown, Epidemic Growth, Regression Analysis
preprint
OA: closed
Abstract
This article explores the effects of non-pharmaceutical interventions (NPIs also know as quarantine restrictions) on the reduction of the growth rate in new COVID-19 cases in Kazakhstan and Kyrgyzstan. It turns out that empirically NPIs gradually reduce the growth rate of new cases. This is theoretically backed by an epidemic growth model shown in the paper. Once this growth rate turns negative, it is only then that the actual levels of new cases begin to fall. Interesting enough, comparing the results for the two countries, it appears that in the summer the partial-lockdown in Kyrgyzstan was just as effective as the full lockdown in Kazakhstan at reducing the growth rate. Therefore as a policy recommendation, and to avoid the economic impact of a full lockdown, these countries should stick with partial lockdowns. Lastly, a conservative counterfactual scenario indicates that total cases for 2020 would be 50% to 100% higher had the countries not imposed NPIs.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00
- unpaywall
- last seen: 2026-07-13T06:45:44.122212+00:00