PMC:7210464 / 49243-52835 JSONTXT 5 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T420 0-128 Sentence denotes We also investigate the mediating impacts of some socioeconomic and environmental characteristics on the transmission rates (3).
T421 129-288 Sentence denotes To ease the comparison between different moderators, we consider the mediating impacts on the influence of the average number of new cases in the past 2 weeks.
T422 289-517 Sentence denotes Regarding own-city transmissions, we examine the mediating effects of population density, GDP per capita, number of doctors, and average temperature, wind speed, precipitation, and a dummy variable of adverse weather conditions.
T423 518-768 Sentence denotes Regarding between-city transmissions, we consider the mediating effects of distance, difference in population density, and difference in GDP per capita since cities that are similar in density or economic development level may be more closely linked.
T424 769-826 Sentence denotes We also include a measure of population flows from Wuhan.
T425 827-888 Sentence denotes Table 6 reports the estimation results of the IV regressions.
T426 889-1201 Sentence denotes To ease the comparison across various moderators, for the mediating variables of within-city transmissions that are significant at 10%, we compute the changes in the variables so that the effect of new confirmed infections in the past 14 days on current new confirmed cases is reduced by 1 (columns (2) and (4)).
T427 1202-1276 Sentence denotes Table 6 Social and economic factors mediating the transmission of COVID-19
T428 1277-1292 Sentence denotes (1) (2) (3) (4)
T429 1293-1318 Sentence denotes Jan 19–Feb 1 Feb 2–Feb 29
T430 1319-1328 Sentence denotes IV Coeff.
T431 1329-1338 Sentence denotes IV Coeff.
T432 1339-1379 Sentence denotes Average # of new cases, previous 14 days
T433 1380-1405 Sentence denotes Own city − 0.251 0.672***
T434 1406-1421 Sentence denotes (0.977) (0.219)
T435 1422-1478 Sentence denotes × population density 0.000164 − 0.000202** + 495 per km2
T436 1479-1500 Sentence denotes (0.000171) (8.91e-05)
T437 1501-1547 Sentence denotes × per capita GDP 0.150*** − 66, 667 RMB 0.0102
T438 1548-1565 Sentence denotes (0.0422) (0.0196)
T439 1566-1606 Sentence denotes × # of doctors − 0.108* + 92, 593 0.0179
T440 1607-1624 Sentence denotes (0.0622) (0.0236)
T441 1625-1666 Sentence denotes × temperature 0.0849* − 11.78∘C − 0.00945
T442 1667-1684 Sentence denotes (0.0438) (0.0126)
T443 1685-1711 Sentence denotes × wind speed − 0.109 0.128
T444 1712-1727 Sentence denotes (0.131) (0.114)
T445 1728-1777 Sentence denotes × precipitation 0.965* − 1.04 mm 0.433* − 2.31 mm
T446 1778-1793 Sentence denotes (0.555) (0.229)
T447 1794-1836 Sentence denotes × adverse weather 0.0846 − 0.614*** + 163%
T448 1837-1852 Sentence denotes (0.801) (0.208)
T449 1853-1882 Sentence denotes Other cities 0.0356 − 0.00429
T450 1883-1921 Sentence denotes wt. = inv. distance (0.0375) (0.00343)
T451 1922-1951 Sentence denotes Other cities 0.00222 0.000192
T452 1952-1997 Sentence denotes wt. = inv. density ratio (0.00147) (0.000891)
T453 1998-2026 Sentence denotes Other cities 0.00232 0.00107
T454 2027-2078 Sentence denotes wt. = inv. per capita GDP ratio (0.00497) (0.00165)
T455 2079-2102 Sentence denotes Wuhan − 0.165 − 0.00377
T456 2103-2140 Sentence denotes wt. = inv. distance (0.150) (0.00981)
T457 2141-2167 Sentence denotes Wuhan − 0.00336 − 0.000849
T458 2168-2212 Sentence denotes wt. = inv. density ratio (0.00435) (0.00111)
T459 2213-2235 Sentence denotes Wuhan − 0.440 − 0.0696
T460 2236-2284 Sentence denotes wt. = inv. per capita GDP ratio (0.318) (0.0699)
T461 2285-2311 Sentence denotes Wuhan 0.00729*** 0.0125***
T462 2312-2353 Sentence denotes wt. = population flow (0.00202) (0.00187)
T463 2354-2376 Sentence denotes Observations 4032 8064
T464 2377-2401 Sentence denotes Number of cities 288 288
T465 2402-2426 Sentence denotes Weather controls Yes Yes
T466 2427-2442 Sentence denotes City FE Yes Yes
T467 2443-2458 Sentence denotes Date FE Yes Yes
T468 2459-2525 Sentence denotes The dependent variable is the number of daily new confirmed cases.
T469 2526-2571 Sentence denotes The sample excludes cities in Hubei province.
T470 2572-2823 Sentence denotes Columns (2) and (4) report the changes in the mediating variables that are needed to reduce the impact of new confirmed cases in the preceding 2 weeks by 1, using estimates with significance levels of at least 0.1 in columns (1) and (3), respectively.
T471 2824-3001 Sentence denotes The endogenous variables include the average numbers of new cases in the own city and nearby cities in the preceding 14 days and their interactions with the mediating variables.
T472 3002-3315 Sentence denotes Weekly averages of daily maximum temperature, precipitation, wind speed, the interaction between precipitation and wind speed, and the inverse log distance weighted sum of these variables in neighboring cities, during the preceding third and fourth weeks, are used as instrumental variables in the IV regressions.
T473 3316-3415 Sentence denotes Additional instrumental variables are constructed by interacting them with the mediating variables.
T474 3416-3497 Sentence denotes Weather controls include these variables in the preceding first and second weeks.
T475 3498-3555 Sentence denotes Standard errors in parentheses are clustered by provinces
T476 3556-3592 Sentence denotes *** p < 0.01, ** p < 0.05, * p < 0.1