The impact of China’s lockdown policy on the incidence of CoVID-19: an interrupted time series analysis.
| dc.contributor.author | Mashalla, Yohana J. | |
| dc.date.accessioned | 2021-10-26T12:25:26Z | |
| dc.date.available | 2021-10-26T12:25:26Z | |
| dc.date.issued | 2021-10-28 | |
| dc.description.abstract | Background Policy changes are often necessary to contain the detrimental impact of epidemics such as the coronavirus disease (COVID-19). China imposed strict restrictions on movement on January 23rd, 2020.Interrupted time series methods were used to study the impact of the lockdown on the incidence of COVID-19. Methods The number of cases of COVID-19 reported daily from January 12thto March 30th, 2020 were extracted from the World Health Organization (WHO) COVID-19 dashboard ArcGIS® and matched to China’s projected population of 1 408 526 449 for 2020 in order to estimate daily incidences. Data were plotted to reflect daily incidences as data points in the series. A deferred interruption point of 6thFebruary was used to allow a 14-day period of diffusion. The magnitude of change and linear trend analyses were evaluated using the itsafunction with ordinary least-squares regression coefficients in Stata® yielding Newey-West standard errors. Results Seventy-eight (78) daily incidence points were used for the analysis, with 11(14.10%) before the intervention. There was a daily increase of 163 cases (β=1.16*10-07, p=0.00) in the pre-intervention period. Although there was no statistically significant drop in the number of cases reported daily in the immediate period following 6thFebruary 2020 when compared to the counterfactual (p=0.832), there was a 241 decrease (β=-1.71*10-07, p=0.00) in cases reported daily when comparing the pre-intervention and post-intervention periods. A deceleration of 78(47%) cases reported daily. Conclusion The lockdown policy managed to significantly decrease the incidence of CoVID-19 in China. Lockdown provides an effective means of curtailing the incidence of COVID-19. | en_US |
| dc.identifier.citation | Molefi, M., Tlhakanelo, J., Phologolo, T., Hamda, S.G., Masupe, T., Tsima, B., Setlhare, V., Mashalla, Y. and Wiebe, D., 2020. The impact of China’s lockdown policy on the incidence of CoVID-19: An Interrupted time series analysis. | en_US |
| dc.identifier.issn | DOI: 10.21203/rs.3.rs-32944/v1 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/806 | |
| dc.language.iso | en | en_US |
| dc.publisher | Researchsquare.com | en_US |
| dc.subject | Lockdown policy | en_US |
| dc.subject | COVID-19 | en_US |
| dc.subject | China | en_US |
| dc.title | The impact of China’s lockdown policy on the incidence of CoVID-19: an interrupted time series analysis. | en_US |
| dc.type | Article | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- The impact of China’s lockdown policy on the.pdf
- Size:
- 304.15 KB
- Format:
- Adobe Portable Document Format
- Description:
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: