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1.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20148668

RESUMO

ObjectiveSince the outbreak of novel coronavirus pneumonia (COVID-19), human mobility restriction measures have raised controversies, partly due to inconsistent findings. Empirical study is urgently needed to reliably assess the causal effects of mobility restriction. MethodsOur study applied the difference-in-difference (DID) model to assess declines of population mobility at the city level, and used the log-log regression model to examine the effects of population mobility declines on the disease spread measured by cumulative or new cases of COVID-19 over time, after adjusting for confounders. ResultsThe DID model showed that a continual expansion of the relative declines over time in 2020. After four weeks, population mobility declined by 54.81% (interquartile ranges, -65.50% to -43.56%). The accrued population mobility declines were associated with significant reduction of cumulative COVID-19 cases throughout six weeks (i.e., 1% decline of population mobility was associated with 0.72% (95%CI 0.50% to 0.93%) reduce of cumulative cases for one week, 1.42% two weeks, 1.69% three weeks, 1.72% four weeks,1.64% five weeks and 1.52% six weeks). The impact on weekly new cases seemed greater in the first four weeks, but faded thereafter. The effects on cumulative cases differed by cities of different population sizes, with greater effects seen in larger cities. ConclusionPersistent population mobility restrictions are well deserved. However, a change in the degree of mobility restriction may be warranted over time, particularly after several weeks of rigorous mobility restriction. Implementation of mobility restrictions in major cities with large population sizes may be even more important.

2.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-419727

RESUMO

Objective To accurately understand multi-spot medical practice in China and evaluate its effect.Methods Operation data of 2008 and 2009 were gathered from all medical institutions in Kunming to analyze the effect of the practice trial using the fixed effect model.Results Under control of such factors as the scale and type of the hospitals,clinic visits of the second certified hospital benefited by the practice increased by 14%than before,whereas the medical revenue of the institution increased by 29%.The effect proves more significant in terms of total clinic visits and medical revenues at level-1 and level-2 medical institutions.Conclusion Multi-spot medical practice in Kunming proves successful as it increased medical service supply and medical revenue,especially for level-1 and level-2 medical institutions.This effect possibly results from releasing high-level physicians down to lower-level institutions,helping these institutions to attract patients.

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