PMC:7210464 / 19703-22908 JSONTXT

{"target":"http://pubannotation.org/docs/sourcedb/PMC/sourceid/7210464","sourcedb":"PMC","sourceid":"7210464","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7210464","text":"Since the COVID-19 outbreak started from Wuhan, we also calculate the weighted number of COVID-19 new cases in Wuhan using the inverse of log distance as the weight. Furthermore, to explore the mediating impact of population flow from Wuhan, we collect the daily population flow index from Baidu that proxies for the total intensity of migration from Wuhan to other cities11. Figure 3 plots the Baidu index of population flow out of Wuhan and compares its values this year with those in 2019. We then interact the flow index with the share that a destination city takes (Fig. 4) to construct a measure on the population flow from Wuhan to a destination city. Other mediating variables include population density, GDP per capita, and the number of doctors at the city level, which we collect from the most recent China city statistical yearbook. Table 1 presents the summary statistics of these variables. On average, GDP per capita and population density are larger in cities outside Hubei province than those in Hubei. Compared with cities in Hubei province, cities outside Hubei have more doctors.\nFig. 3 Baidu index of population flow from Wuhan\nFig. 4 Destination shares in population flow from Wuhan\nTable 1 Summary statistics\nVariable N Mean Std dev. Min. Median Max.\nNon Hubei cities\nCity characteristics\nGDP per capita, 10,000RMB 288 5.225 3.025 1.141 4.327 21.549\nPopulation density, per km2 288 428.881 374.138 9.049 327.115 3444.092\n# of doctors, 10,000 288 1.086 1.138 0.030 0.805 10.938\nTime varying variables, Jan 19–Feb 1\nDaily # of new confirmed cases 4032 1.303 3.608 0.000 0.000 60.000\nWeekly average max. temperature, ∘C 4032 8.520 8.525 − 18.468 7.932 29.833\nWeekly average precipitation, mm 4032 0.238 0.558 0.000 0.033 5.570\nWeekly average wind speed, m/s 4032 2.209 0.842 0.816 2.014 6.386\nTime varying variables, Feb 1–Feb 29\nDaily # of new confirmed cases 8064 0.927 3.461 0.000 0.000 201.000\nWeekly average max. temperature, ∘C 8064 11.909 7.983 − 18.032 12.814 28.791\nWeekly average precipitation, mm 8064 0.193 0.491 0.000 0.027 5.432\nWeekly average wind speed, m/s 8064 2.461 0.913 0.654 2.352 7.129\nCities in Hubei province, excluding Wuhan\nCity characteristics\nGDP per capita, 10,000RMB 16 4.932 1.990 2.389 4.306 8.998\nPopulation density, per km2 16 416.501 220.834 24.409 438.820 846.263\n# of doctors, 10,000 16 0.698 0.436 0.017 0.702 1.393\nTime varying variables, Jan 19–Feb 1\nDaily # of new confirmed cases 224 22.165 35.555 0.000 7.000 276.000\nWeekly average max. temperature, ∘C 224 8.709 1.602 1.278 8.905 10.889\nWeekly average precipitation, mm 224 0.261 0.313 0.000 0.160 1.633\nWeekly average wind speed, m/s 224 1.970 0.600 0.893 1.975 3.439\nTime varying variables, Feb 1–Feb 29\nDaily # of new confirmed cases 448 28.871 51.793 0.000 8.000 424.000\nWeekly average max. temperature, ∘C 448 14.569 2.985 1.452 14.448 23.413\nWeekly average precipitation, mm 448 0.201 0.233 0.000 0.133 1.535\nWeekly average wind speed, m/s 448 2.063 0.648 0.705 2.070 4.174\nVariables of the city characteristics are obtained from City Statistical Yearbooks. Time varying variables are observed daily for each city. 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