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PMC:7210464 / 78960-82596 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T175 359-367 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T176 565-573 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T301 71-76 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T302 162-167 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T303 889-900 http://purl.obolibrary.org/obo/OBI_0000968 denotes instruments
T304 1392-1395 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T305 1403-1406 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T306 1414-1417 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T307 1425-1428 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T308 1438-1443 http://purl.obolibrary.org/obo/CLO_0001302 denotes 3) (4
T309 1482-1485 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T310 1577-1580 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T311 1663-1666 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T312 1763-1766 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T313 1859-1862 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T314 1954-1957 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T315 2039-2042 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T316 2136-2139 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T317 2275-2278 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T318 2373-2376 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T319 2468-2471 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T320 2577-2580 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T321 2681-2684 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T322 2781-2784 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T323 2873-2876 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T324 2982-2985 http://purl.obolibrary.org/obo/CLO_0050236 denotes lag
T325 3563-3575 http://purl.obolibrary.org/obo/OBI_0000968 denotes instrumental

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T15 168-176 http://purl.obolibrary.org/obo/GO_0007610 denotes behavior

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T701 0-177 Sentence denotes Weather conditions affect disease transmissions either directly if the virus can more easily survive and spread in certain environment, or indirectly by changing human behavior.
T702 178-275 Sentence denotes Table 9 reports results of the first stage of the IV regressions (Table 4) using the full sample.
T703 276-444 Sentence denotes In columns (1) and (2), the dependent variables are the numbers of newly confirmed COVID-19 cases in the own city in the preceding first and second weeks, respectively.
T704 445-650 Sentence denotes In columns (3) and (4), the dependent variables are the sum of inverse log distance weighted numbers of newly confirmed COVID-19 cases in other cities in the preceding first and second weeks, respectively.
T705 651-708 Sentence denotes These are the endogenous variables in the IV regressions.
T706 709-809 Sentence denotes The weather variables in the preceding first and second weeks are included in the control variables.
T707 810-951 Sentence denotes The weather variables in the preceding third and fourth weeks are the excluded instruments, and their coefficients are reported in the table.
T708 952-1097 Sentence denotes Because the variables are averages in 7-day moving windows, the error term may be serially correlated, and we include city by week fixed effects.
T709 1098-1288 Sentence denotes Also included in the control variables are the average numbers of new cases in Wuhan in the preceding first and second weeks, interacted with the inverse log distance or the population flow.
T710 1289-1320 Sentence denotes Table 9 First stage regressions
T711 1321-1362 Sentence denotes Dependent variable Average # of new cases
T712 1363-1384 Sentence denotes Own city Other cities
T713 1385-1428 Sentence denotes 1-week lag 2-week lag 1-week lag 2-week lag
T714 1429-1444 Sentence denotes (1) (2) (3) (4)
T715 1445-1453 Sentence denotes Own City
T716 1454-1520 Sentence denotes Maximum temperature, 3-week lag 0.200*** − 0.0431 0.564 − 2.022***
T717 1521-1554 Sentence denotes (0.0579) (0.0503) (0.424) (0.417)
T718 1555-1611 Sentence denotes Precipitation, 3-week lag − 0.685 − 0.865* 4.516 − 1.998
T719 1612-1643 Sentence denotes (0.552) (0.480) (4.045) (3.982)
T720 1644-1695 Sentence denotes Wind speed, 3-week lag 0.508** 0.299 − 0.827 3.247*
T721 1696-1727 Sentence denotes (0.256) (0.223) (1.878) (1.849)
T722 1728-1798 Sentence denotes Precipitation × wind speed, 3-week lag − 0.412** 0.122 − 1.129 − 2.091
T723 1799-1830 Sentence denotes (0.199) (0.173) (1.460) (1.437)
T724 1831-1897 Sentence denotes Maximum temperature, 4-week lag 0.162*** 0.125** 1.379*** 1.181***
T725 1898-1931 Sentence denotes (0.0560) (0.0487) (0.410) (0.404)
T726 1932-1987 Sentence denotes Precipitation, 4-week lag 0.0250 − 0.503 2.667 8.952***
T727 1988-2019 Sentence denotes (0.440) (0.383) (3.224) (3.174)
T728 2020-2068 Sentence denotes Wind speed, 4-week lag 0.179 0.214 − 1.839 1.658
T729 2069-2100 Sentence denotes (0.199) (0.173) (1.458) (1.435)
T730 2101-2174 Sentence denotes Precipitation × wind speed, 4-week lag − 0.354** − 0.0270 1.107 − 2.159**
T731 2175-2206 Sentence denotes (0.145) (0.126) (1.059) (1.043)
T732 2207-2246 Sentence denotes Other cities, weight = inverse distance
T733 2247-2316 Sentence denotes Maximum temperature, 3-week lag − 0.0809*** − 0.00633 0.0520 1.152***
T734 2317-2350 Sentence denotes (0.0203) (0.0176) (0.149) (0.146)
T735 2351-2416 Sentence denotes Precipitation, 3-week lag 4.366*** − 2.370*** 17.99*** − 72.68***
T736 2417-2448 Sentence denotes (0.639) (0.556) (4.684) (4.611)
T737 2449-2509 Sentence denotes Wind speed, 3-week lag 0.326*** − 0.222** − 1.456 − 11.02***
T738 2510-2541 Sentence denotes (0.126) (0.110) (0.926) (0.912)
T739 2542-2620 Sentence denotes Precipitation × wind speed, 3-week lag − 1.780*** 0.724*** − 6.750*** 27.73***
T740 2621-2652 Sentence denotes (0.227) (0.197) (1.663) (1.637)
T741 2653-2724 Sentence denotes Maximum temperature, 4-week lag − 0.0929*** − 0.0346* − 0.518*** 0.0407
T742 2725-2758 Sentence denotes (0.0220) (0.0191) (0.161) (0.159)
T743 2759-2821 Sentence denotes Precipitation, 4-week lag 3.357*** − 0.578 46.57*** − 25.31***
T744 2822-2853 Sentence denotes (0.504) (0.438) (3.691) (3.633)
T745 2854-2913 Sentence denotes Wind speed, 4-week lag 0.499*** 0.214** 4.660*** − 4.639***
T746 2914-2946 Sentence denotes (0.107) (0.0934) (0.787) (0.774)
T747 2947-3025 Sentence denotes Precipitation × wind speed, 4-week lag − 1.358*** − 0.0416 − 17.26*** 8.967***
T748 3026-3057 Sentence denotes (0.178) (0.155) (1.303) (1.282)
T749 3058-3092 Sentence denotes F statistic 11.41 8.46 19.10 36.32
T750 3093-3128 Sentence denotes p value 0.0000 0.0000 0.0000 0.0000
T751 3129-3169 Sentence denotes Observations 12,768 12,768 12,768 12,768
T752 3170-3202 Sentence denotes Number of cities 304 304 304 304
T753 3203-3235 Sentence denotes # cases in Wuhan Yes Yes Yes Yes
T754 3236-3284 Sentence denotes Contemporaneous weather controls Yes Yes Yes Yes
T755 3285-3308 Sentence denotes City FE Yes Yes Yes Yes
T756 3309-3332 Sentence denotes Date FE Yes Yes Yes Yes
T757 3333-3364 Sentence denotes City by week FE Yes Yes Yes Yes
T758 3365-3428 Sentence denotes This table shows the results of the first stage IV regressions.
T759 3429-3497 Sentence denotes The weather variables are weekly averages of daily weather readings.
T760 3498-3636 Sentence denotes Coefficients of the weather variables which are used as excluded instrumental variables are reported. *** p < 0.01, ** p < 0.05, * p < 0.1

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
436 1403-1408 Gene denotes lag 1 Gene:388372
437 1414-1419 Gene denotes lag 2 Gene:10578
438 2781-2786 Gene denotes lag 3 Gene:3902
439 1392-1397 Gene denotes lag 2 Gene:10578
443 162-167 Species denotes human Tax:9606
444 359-367 Disease denotes COVID-19 MESH:C000657245
445 565-573 Disease denotes COVID-19 MESH:C000657245