Appendix containing additional details on results.
The figures were created using the base layer from The Humanitarian Data Exchange. Table A. Malaysia policy summary. Fig A. 95% Confidence intervals for treatment/spill-over effects at the district level. Fig B. Matching variables used for generation of synthetic controls (Healthcare capacity). Fig C. Matching variables used for generation of synthetic controls (Demographic/Geographic). Fig D. Sensitivity analysis on matching characteristics: magnitude of treatment/spill-over effects. Fig E. Sensitivity analysis on spill-over matrix, number of significant regions. Fig F. Sensitivity analysis o... Mehr ...
| Verfasser: | |
|---|---|
| Dokumenttyp: | Text |
| Erscheinungsdatum: | 2021 |
| Schlagwörter: | Medicine / Biotechnology / Cancer / Science Policy / Mathematical Sciences not elsewhere classified / Sabah post-state election / community transmission / Malaysia post-state election / mass gathering restrictions / Sabah state elections / COVID -19 case counts / COVID -19 cases / COVID -19 transmission / surveillance efforts / coronavirus disease 2019 / spill-over impacts / control methods Mass gathering events |
| Sprache: | unknown |
| Permalink: | https://search.fid-benelux.de/Record/base-29243802 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://doi.org/10.1371/journal.pcbi.1008959.s001 |
The figures were created using the base layer from The Humanitarian Data Exchange. Table A. Malaysia policy summary. Fig A. 95% Confidence intervals for treatment/spill-over effects at the district level. Fig B. Matching variables used for generation of synthetic controls (Healthcare capacity). Fig C. Matching variables used for generation of synthetic controls (Demographic/Geographic). Fig D. Sensitivity analysis on matching characteristics: magnitude of treatment/spill-over effects. Fig E. Sensitivity analysis on spill-over matrix, number of significant regions. Fig F. Sensitivity analysis on spill-over matrix, number of regions with positive treatment effects. Fig G. Sensitivity analysis on spill-over matrix, cumulative treatment effect. Fig H. Placebo test for treatment and spill-over effects prior to Sabah election. (DOCX)