PMC:7589389 / 55704-63017 JSONTXT

{"project":"LitCovid-PD-FMA-UBERON","denotations":[{"id":"T35","span":{"begin":6,"end":8},"obj":"Body_part"}],"attributes":[{"id":"A35","pred":"fma_id","subj":"T35","obj":"http://purl.org/sig/ont/fma/fma66595"}],"text":"Table A2 Distribution of firm-day observations by province and day.\nPanel A: Distribution of Firm-Day Observations by Province from 10 January to 28 February 2020\nCIPHT = 1 Full sample\n1/21 22 23 2/03 04 05 06 07 10 11 12 13 14 17 18 19 20 21 24 25 26 27 28 1/10–2/28\nAnhui 0 0 0 92 92 92 92 92 92 92 92 92 92 92 93 93 93 93 0 0 0 0 0 2769\nBeijing 0 0 0 376 377 377 377 377 377 377 378 378 378 378 378 378 378 378 0 0 0 0 0 11,325\nChongqing 0 0 0 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 0 0 0 0 1350\nFujian 0 0 0 126 126 126 126 126 126 126 126 126 126 126 126 0 0 0 0 0 0 0 0 3780\nGansu 0 0 0 24 24 24 24 24 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 720\nGuangdong 0 0 0 579 580 580 580 580 580 580 580 580 580 581 581 581 581 581 582 0 0 0 0 17,376\nGuangxi 0 0 0 30 30 30 30 30 30 30 0 0 0 0 30 30 30 30 0 0 0 0 0 900\nGuizhou 0 0 0 25 25 25 25 25 25 25 25 25 25 0 0 0 0 0 0 0 0 0 0 750\nHainan 0 0 0 23 23 23 23 23 23 23 23 0 0 0 0 0 0 0 0 0 0 0 0 690\nHebei 0 0 0 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 0 0 0 0 0 1560\nHeilongjiang 0 0 0 28 28 28 28 28 28 28 28 28 28 28 28 28 28 0 0 0 0 0 0 840\nHenan 0 0 0 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 0 0 0 0 0 2122\nHubei 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 2368\nHunan 0 0 0 92 92 92 92 92 92 92 92 92 92 92 92 92 92 92 0 0 0 0 0 2751\nJiangsu 0 0 0 383 384 384 384 384 384 384 384 384 384 384 384 0 0 0 0 0 0 0 0 11,500\nJiangxi 0 0 0 41 41 41 41 41 41 41 41 41 41 41 40 41 0 0 0 0 0 0 0 1229\nJilin 0 0 0 0 0 29 29 29 29 29 29 29 29 0 0 0 0 0 0 0 0 0 0 865\nLiaoning 0 0 0 66 66 66 66 66 66 66 0 0 0 0 0 0 0 0 0 0 0 0 0 1980\nNeimenggu 0 0 0 20 20 20 20 20 0 0 0 0 0 20 20 0 0 0 0 0 0 0 0 600\nNingxia 0 0 0 14 0 0 0 0 14 14 14 14 14 0 0 0 0 0 0 0 0 0 0 420\nQinghai 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 299\nShaanxi 0 0 0 46 46 47 47 47 47 47 47 47 47 47 0 0 0 0 0 0 0 0 0 1395\nShandong 0 0 0 185 185 185 185 185 185 185 185 185 185 185 185 185 185 185 0 0 0 0 0 5553\nShanghai 0 0 0 312 312 312 312 312 312 313 314 314 314 314 0 0 0 0 0 0 0 0 0 9393\nShanxi 0 0 0 31 31 31 31 31 31 31 31 0 0 0 0 0 0 0 0 0 0 0 0 930\nSichuan 0 0 0 115 115 115 115 115 115 115 115 115 115 115 115 115 115 115 0 0 0 0 0 3445\nTianjin 0 0 0 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 0 0 0 0 0 1262\nXinjiang 0 0 0 45 45 45 45 45 45 45 45 45 45 45 0 0 0 0 0 0 0 0 0 1347\nXizang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 270\nYunnan 0 0 0 31 31 31 31 31 31 31 30 30 31 31 31 0 0 0 0 0 0 0 0 928\nZhejiang 0 0 0 403 403 403 403 403 403 403 403 403 403 403 403 403 403 403 0 0 0 0 0 12,075\nPanel B: Distribution of Firm-Day Observations by Province from 2 March to 31 March 2020\nCIPHT = 1 Full sample\n3/02 03 04 05 06 09 10 11 12 13 16 17 18 19 20 23 24 25 26 27 30 31 3/02–3/31\nAnhui 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2047\nBeijing 0 0 0 0 0 0 0 0 0 0 0 385 384 383 384 385 385 385 385 385 384 0 8435\nChongqing 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 989\nFujian 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 128 128 128 128 128 128 2792\nGansu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 527\nGuangdong 0 0 0 0 0 0 0 0 0 0 0 0 0 587 588 588 589 589 589 589 590 591 12,893\nGuangxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 650\nGuizhou 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 550\nHainan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 505\nHebei 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1144\nHeilongjiang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 595\nHenan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1562\nHubei 79 79 79 79 79 79 79 79 79 79 79 79 0 0 0 0 0 0 0 0 0 0 1730\nHunan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2032\nJiangsu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8494\nJiangxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 892\nJilin 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 638\nLiaoning 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 66 1440\nNeimenggu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 20 440\nNingxia 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 308\nQinghai 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 220\nShaanxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1034\nShandong 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 187 0 0 0 0 0 4117\nShanghai 0 0 0 0 0 0 0 0 0 0 0 319 319 319 318 318 318 317 318 318 318 318 6996\nShanxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 682\nSichuan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2529\nTianjin 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 44 0 966\nXinjiang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 988\nXizang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 198\nYunnan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 682\nZhejiang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 406 406 406 407 407 408 0 8938\nNote: Values in bold are in periods after implementing the “closed community management” measures."}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T233","span":{"begin":6,"end":8},"obj":"http://purl.obolibrary.org/obo/CLO_0001562"},{"id":"T234","span":{"begin":75,"end":76},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"},{"id":"T235","span":{"begin":188,"end":192},"obj":"http://purl.obolibrary.org/obo/CLO_0001053"},{"id":"T236","span":{"begin":195,"end":197},"obj":"http://purl.obolibrary.org/obo/CLO_0050507"},{"id":"T237","span":{"begin":200,"end":206},"obj":"http://purl.obolibrary.org/obo/CLO_0001203"},{"id":"T238","span":{"begin":237,"end":239},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T239","span":{"begin":262,"end":264},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"},{"id":"T240","span":{"begin":297,"end":299},"obj":"http://purl.obolibrary.org/obo/CLO_0050509"},{"id":"T241","span":{"begin":309,"end":313},"obj":"http://purl.obolibrary.org/obo/CLO_0054060"},{"id":"T242","span":{"begin":582,"end":584},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T243","span":{"begin":587,"end":589},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T244","span":{"begin":592,"end":594},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T245","span":{"begin":597,"end":599},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T246","span":{"begin":602,"end":604},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T247","span":{"begin":607,"end":609},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T248","span":{"begin":612,"end":614},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T249","span":{"begin":617,"end":619},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T250","span":{"begin":622,"end":624},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T251","span":{"begin":627,"end":629},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T252","span":{"begin":632,"end":634},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T253","span":{"begin":637,"end":639},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T254","span":{"begin":642,"end":644},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T255","span":{"begin":647,"end":649},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T256","span":{"begin":652,"end":654},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T257","span":{"begin":657,"end":659},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T258","span":{"begin":927,"end":930},"obj":"http://purl.obolibrary.org/obo/CLO_0001423"},{"id":"T259","span":{"begin":1381,"end":1383},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T260","span":{"begin":1385,"end":1387},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T261","span":{"begin":1389,"end":1391},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T262","span":{"begin":1394,"end":1396},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T263","span":{"begin":1399,"end":1401},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T264","span":{"begin":1404,"end":1406},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T265","span":{"begin":1409,"end":1411},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T266","span":{"begin":1414,"end":1416},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T267","span":{"begin":1419,"end":1421},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T268","span":{"begin":1424,"end":1426},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T269","span":{"begin":1429,"end":1431},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T270","span":{"begin":1434,"end":1436},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T271","span":{"begin":1439,"end":1441},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T272","span":{"begin":1444,"end":1446},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T273","span":{"begin":1449,"end":1451},"obj":"http://purl.obolibrary.org/obo/CLO_0001407"},{"id":"T274","span":{"begin":1613,"end":1615},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T275","span":{"begin":1617,"end":1619},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T276","span":{"begin":1622,"end":1624},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T277","span":{"begin":1627,"end":1629},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T278","span":{"begin":1632,"end":1634},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T279","span":{"begin":1637,"end":1639},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T280","span":{"begin":1642,"end":1644},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T281","span":{"begin":1647,"end":1649},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T282","span":{"begin":1652,"end":1654},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T283","span":{"begin":1657,"end":1659},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T284","span":{"begin":1662,"end":1664},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T285","span":{"begin":1667,"end":1669},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T286","span":{"begin":1672,"end":1674},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T287","span":{"begin":1677,"end":1679},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T288","span":{"begin":1682,"end":1684},"obj":"http://purl.obolibrary.org/obo/CLO_0054055"},{"id":"T289","span":{"begin":2072,"end":2074},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T290","span":{"begin":2076,"end":2078},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T291","span":{"begin":2081,"end":2083},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T292","span":{"begin":2086,"end":2088},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T293","span":{"begin":2091,"end":2093},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T294","span":{"begin":2096,"end":2098},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T295","span":{"begin":2101,"end":2103},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T296","span":{"begin":2106,"end":2108},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T297","span":{"begin":2111,"end":2113},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T298","span":{"begin":2116,"end":2118},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T299","span":{"begin":2121,"end":2123},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T300","span":{"begin":2131,"end":2133},"obj":"http://purl.obolibrary.org/obo/CLO_0053794"},{"id":"T301","span":{"begin":2696,"end":2702},"obj":"http://purl.obolibrary.org/obo/CLO_0001013"},{"id":"T302","span":{"begin":2696,"end":2702},"obj":"http://purl.obolibrary.org/obo/CLO_0052464"},{"id":"T303","span":{"begin":3385,"end":3387},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T304","span":{"begin":3389,"end":3391},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T305","span":{"begin":3393,"end":3395},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T306","span":{"begin":3397,"end":3399},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T307","span":{"begin":3401,"end":3403},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T308","span":{"begin":3405,"end":3407},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T309","span":{"begin":3409,"end":3411},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T310","span":{"begin":3413,"end":3415},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T311","span":{"begin":3417,"end":3419},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T312","span":{"begin":3421,"end":3423},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T313","span":{"begin":3425,"end":3427},"obj":"http://purl.obolibrary.org/obo/CLO_0053799"},{"id":"T314","span":{"begin":3794,"end":3795},"obj":"http://purl.obolibrary.org/obo/CLO_0001021"},{"id":"T315","span":{"begin":3939,"end":3941},"obj":"http://purl.obolibrary.org/obo/CLO_0053733"},{"id":"T316","span":{"begin":3964,"end":3966},"obj":"http://purl.obolibrary.org/obo/CLO_0050510"},{"id":"T317","span":{"begin":3999,"end":4001},"obj":"http://purl.obolibrary.org/obo/CLO_0050509"}],"text":"Table A2 Distribution of firm-day observations by province and day.\nPanel A: Distribution of Firm-Day Observations by Province from 10 January to 28 February 2020\nCIPHT = 1 Full sample\n1/21 22 23 2/03 04 05 06 07 10 11 12 13 14 17 18 19 20 21 24 25 26 27 28 1/10–2/28\nAnhui 0 0 0 92 92 92 92 92 92 92 92 92 92 92 93 93 93 93 0 0 0 0 0 2769\nBeijing 0 0 0 376 377 377 377 377 377 377 378 378 378 378 378 378 378 378 0 0 0 0 0 11,325\nChongqing 0 0 0 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 0 0 0 0 1350\nFujian 0 0 0 126 126 126 126 126 126 126 126 126 126 126 126 0 0 0 0 0 0 0 0 3780\nGansu 0 0 0 24 24 24 24 24 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 720\nGuangdong 0 0 0 579 580 580 580 580 580 580 580 580 580 581 581 581 581 581 582 0 0 0 0 17,376\nGuangxi 0 0 0 30 30 30 30 30 30 30 0 0 0 0 30 30 30 30 0 0 0 0 0 900\nGuizhou 0 0 0 25 25 25 25 25 25 25 25 25 25 0 0 0 0 0 0 0 0 0 0 750\nHainan 0 0 0 23 23 23 23 23 23 23 23 0 0 0 0 0 0 0 0 0 0 0 0 690\nHebei 0 0 0 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 0 0 0 0 0 1560\nHeilongjiang 0 0 0 28 28 28 28 28 28 28 28 28 28 28 28 28 28 0 0 0 0 0 0 840\nHenan 0 0 0 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 0 0 0 0 0 2122\nHubei 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 2368\nHunan 0 0 0 92 92 92 92 92 92 92 92 92 92 92 92 92 92 92 0 0 0 0 0 2751\nJiangsu 0 0 0 383 384 384 384 384 384 384 384 384 384 384 384 0 0 0 0 0 0 0 0 11,500\nJiangxi 0 0 0 41 41 41 41 41 41 41 41 41 41 41 40 41 0 0 0 0 0 0 0 1229\nJilin 0 0 0 0 0 29 29 29 29 29 29 29 29 0 0 0 0 0 0 0 0 0 0 865\nLiaoning 0 0 0 66 66 66 66 66 66 66 0 0 0 0 0 0 0 0 0 0 0 0 0 1980\nNeimenggu 0 0 0 20 20 20 20 20 0 0 0 0 0 20 20 0 0 0 0 0 0 0 0 600\nNingxia 0 0 0 14 0 0 0 0 14 14 14 14 14 0 0 0 0 0 0 0 0 0 0 420\nQinghai 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 299\nShaanxi 0 0 0 46 46 47 47 47 47 47 47 47 47 47 0 0 0 0 0 0 0 0 0 1395\nShandong 0 0 0 185 185 185 185 185 185 185 185 185 185 185 185 185 185 185 0 0 0 0 0 5553\nShanghai 0 0 0 312 312 312 312 312 312 313 314 314 314 314 0 0 0 0 0 0 0 0 0 9393\nShanxi 0 0 0 31 31 31 31 31 31 31 31 0 0 0 0 0 0 0 0 0 0 0 0 930\nSichuan 0 0 0 115 115 115 115 115 115 115 115 115 115 115 115 115 115 115 0 0 0 0 0 3445\nTianjin 0 0 0 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 0 0 0 0 0 1262\nXinjiang 0 0 0 45 45 45 45 45 45 45 45 45 45 45 0 0 0 0 0 0 0 0 0 1347\nXizang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 270\nYunnan 0 0 0 31 31 31 31 31 31 31 30 30 31 31 31 0 0 0 0 0 0 0 0 928\nZhejiang 0 0 0 403 403 403 403 403 403 403 403 403 403 403 403 403 403 403 0 0 0 0 0 12,075\nPanel B: Distribution of Firm-Day Observations by Province from 2 March to 31 March 2020\nCIPHT = 1 Full sample\n3/02 03 04 05 06 09 10 11 12 13 16 17 18 19 20 23 24 25 26 27 30 31 3/02–3/31\nAnhui 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2047\nBeijing 0 0 0 0 0 0 0 0 0 0 0 385 384 383 384 385 385 385 385 385 384 0 8435\nChongqing 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 989\nFujian 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 128 128 128 128 128 128 2792\nGansu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 527\nGuangdong 0 0 0 0 0 0 0 0 0 0 0 0 0 587 588 588 589 589 589 589 590 591 12,893\nGuangxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 650\nGuizhou 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 550\nHainan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 505\nHebei 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1144\nHeilongjiang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 595\nHenan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1562\nHubei 79 79 79 79 79 79 79 79 79 79 79 79 0 0 0 0 0 0 0 0 0 0 1730\nHunan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2032\nJiangsu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8494\nJiangxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 892\nJilin 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 638\nLiaoning 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 66 1440\nNeimenggu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 20 440\nNingxia 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 308\nQinghai 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 220\nShaanxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1034\nShandong 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 187 0 0 0 0 0 4117\nShanghai 0 0 0 0 0 0 0 0 0 0 0 319 319 319 318 318 318 317 318 318 318 318 6996\nShanxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 682\nSichuan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2529\nTianjin 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 44 0 966\nXinjiang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 988\nXizang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 198\nYunnan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 682\nZhejiang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 406 406 406 407 407 408 0 8938\nNote: Values in bold are in periods after implementing the “closed community management” measures."}

{"project":"LitCovid-sentences","denotations":[{"id":"T397","span":{"begin":0,"end":68},"obj":"Sentence"},{"id":"T398","span":{"begin":69,"end":77},"obj":"Sentence"},{"id":"T399","span":{"begin":78,"end":163},"obj":"Sentence"},{"id":"T400","span":{"begin":164,"end":187},"obj":"Sentence"},{"id":"T401","span":{"begin":188,"end":316},"obj":"Sentence"},{"id":"T402","span":{"begin":317,"end":429},"obj":"Sentence"},{"id":"T403","span":{"begin":430,"end":558},"obj":"Sentence"},{"id":"T404","span":{"begin":559,"end":681},"obj":"Sentence"},{"id":"T405","span":{"begin":682,"end":805},"obj":"Sentence"},{"id":"T406","span":{"begin":806,"end":906},"obj":"Sentence"},{"id":"T407","span":{"begin":907,"end":1041},"obj":"Sentence"},{"id":"T408","span":{"begin":1042,"end":1151},"obj":"Sentence"},{"id":"T409","span":{"begin":1152,"end":1258},"obj":"Sentence"},{"id":"T410","span":{"begin":1259,"end":1364},"obj":"Sentence"},{"id":"T411","span":{"begin":1365,"end":1477},"obj":"Sentence"},{"id":"T412","span":{"begin":1478,"end":1596},"obj":"Sentence"},{"id":"T413","span":{"begin":1597,"end":1710},"obj":"Sentence"},{"id":"T414","span":{"begin":1711,"end":1829},"obj":"Sentence"},{"id":"T415","span":{"begin":1830,"end":1925},"obj":"Sentence"},{"id":"T416","span":{"begin":1926,"end":2053},"obj":"Sentence"},{"id":"T417","span":{"begin":2054,"end":2167},"obj":"Sentence"},{"id":"T418","span":{"begin":2168,"end":2271},"obj":"Sentence"},{"id":"T419","span":{"begin":2272,"end":2378},"obj":"Sentence"},{"id":"T420","span":{"begin":2379,"end":2481},"obj":"Sentence"},{"id":"T421","span":{"begin":2482,"end":2591},"obj":"Sentence"},{"id":"T422","span":{"begin":2592,"end":2673},"obj":"Sentence"},{"id":"T423","span":{"begin":2674,"end":2782},"obj":"Sentence"},{"id":"T424","span":{"begin":2783,"end":2914},"obj":"Sentence"},{"id":"T425","span":{"begin":2915,"end":3034},"obj":"Sentence"},{"id":"T426","span":{"begin":3035,"end":3123},"obj":"Sentence"},{"id":"T427","span":{"begin":3124,"end":3252},"obj":"Sentence"},{"id":"T428","span":{"begin":3253,"end":3365},"obj":"Sentence"},{"id":"T429","span":{"begin":3366,"end":3460},"obj":"Sentence"},{"id":"T430","span":{"begin":3461,"end":3541},"obj":"Sentence"},{"id":"T431","span":{"begin":3542,"end":3651},"obj":"Sentence"},{"id":"T432","span":{"begin":3652,"end":3787},"obj":"Sentence"},{"id":"T433","span":{"begin":3788,"end":3796},"obj":"Sentence"},{"id":"T434","span":{"begin":3797,"end":3876},"obj":"Sentence"},{"id":"T435","span":{"begin":3877,"end":3901},"obj":"Sentence"},{"id":"T436","span":{"begin":3902,"end":4024},"obj":"Sentence"},{"id":"T437","span":{"begin":4025,"end":4125},"obj":"Sentence"},{"id":"T438","span":{"begin":4126,"end":4248},"obj":"Sentence"},{"id":"T439","span":{"begin":4249,"end":4352},"obj":"Sentence"},{"id":"T440","span":{"begin":4353,"end":4466},"obj":"Sentence"},{"id":"T441","span":{"begin":4467,"end":4566},"obj":"Sentence"},{"id":"T442","span":{"begin":4567,"end":4691},"obj":"Sentence"},{"id":"T443","span":{"begin":4692,"end":4793},"obj":"Sentence"},{"id":"T444","span":{"begin":4794,"end":4895},"obj":"Sentence"},{"id":"T445","span":{"begin":4896,"end":4996},"obj":"Sentence"},{"id":"T446","span":{"begin":4997,"end":5097},"obj":"Sentence"},{"id":"T447","span":{"begin":5098,"end":5204},"obj":"Sentence"},{"id":"T448","span":{"begin":5205,"end":5305},"obj":"Sentence"},{"id":"T449","span":{"begin":5306,"end":5418},"obj":"Sentence"},{"id":"T450","span":{"begin":5419,"end":5497},"obj":"Sentence"},{"id":"T451","span":{"begin":5498,"end":5600},"obj":"Sentence"},{"id":"T452","span":{"begin":5601,"end":5702},"obj":"Sentence"},{"id":"T453","span":{"begin":5703,"end":5802},"obj":"Sentence"},{"id":"T454","span":{"begin":5803,"end":5907},"obj":"Sentence"},{"id":"T455","span":{"begin":5908,"end":6013},"obj":"Sentence"},{"id":"T456","span":{"begin":6014,"end":6115},"obj":"Sentence"},{"id":"T457","span":{"begin":6116,"end":6217},"obj":"Sentence"},{"id":"T458","span":{"begin":6218,"end":6320},"obj":"Sentence"},{"id":"T459","span":{"begin":6321,"end":6426},"obj":"Sentence"},{"id":"T460","span":{"begin":6427,"end":6552},"obj":"Sentence"},{"id":"T461","span":{"begin":6553,"end":6631},"obj":"Sentence"},{"id":"T462","span":{"begin":6632,"end":6734},"obj":"Sentence"},{"id":"T463","span":{"begin":6735,"end":6837},"obj":"Sentence"},{"id":"T464","span":{"begin":6838,"end":6918},"obj":"Sentence"},{"id":"T465","span":{"begin":6919,"end":6997},"obj":"Sentence"},{"id":"T466","span":{"begin":6998,"end":7098},"obj":"Sentence"},{"id":"T467","span":{"begin":7099,"end":7214},"obj":"Sentence"},{"id":"T468","span":{"begin":7215,"end":7220},"obj":"Sentence"},{"id":"T469","span":{"begin":7221,"end":7313},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Table A2 Distribution of firm-day observations by province and day.\nPanel A: Distribution of Firm-Day Observations by Province from 10 January to 28 February 2020\nCIPHT = 1 Full sample\n1/21 22 23 2/03 04 05 06 07 10 11 12 13 14 17 18 19 20 21 24 25 26 27 28 1/10–2/28\nAnhui 0 0 0 92 92 92 92 92 92 92 92 92 92 92 93 93 93 93 0 0 0 0 0 2769\nBeijing 0 0 0 376 377 377 377 377 377 377 378 378 378 378 378 378 378 378 0 0 0 0 0 11,325\nChongqing 0 0 0 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 0 0 0 0 1350\nFujian 0 0 0 126 126 126 126 126 126 126 126 126 126 126 126 0 0 0 0 0 0 0 0 3780\nGansu 0 0 0 24 24 24 24 24 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 720\nGuangdong 0 0 0 579 580 580 580 580 580 580 580 580 580 581 581 581 581 581 582 0 0 0 0 17,376\nGuangxi 0 0 0 30 30 30 30 30 30 30 0 0 0 0 30 30 30 30 0 0 0 0 0 900\nGuizhou 0 0 0 25 25 25 25 25 25 25 25 25 25 0 0 0 0 0 0 0 0 0 0 750\nHainan 0 0 0 23 23 23 23 23 23 23 23 0 0 0 0 0 0 0 0 0 0 0 0 690\nHebei 0 0 0 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 0 0 0 0 0 1560\nHeilongjiang 0 0 0 28 28 28 28 28 28 28 28 28 28 28 28 28 28 0 0 0 0 0 0 840\nHenan 0 0 0 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 0 0 0 0 0 2122\nHubei 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 79 2368\nHunan 0 0 0 92 92 92 92 92 92 92 92 92 92 92 92 92 92 92 0 0 0 0 0 2751\nJiangsu 0 0 0 383 384 384 384 384 384 384 384 384 384 384 384 0 0 0 0 0 0 0 0 11,500\nJiangxi 0 0 0 41 41 41 41 41 41 41 41 41 41 41 40 41 0 0 0 0 0 0 0 1229\nJilin 0 0 0 0 0 29 29 29 29 29 29 29 29 0 0 0 0 0 0 0 0 0 0 865\nLiaoning 0 0 0 66 66 66 66 66 66 66 0 0 0 0 0 0 0 0 0 0 0 0 0 1980\nNeimenggu 0 0 0 20 20 20 20 20 0 0 0 0 0 20 20 0 0 0 0 0 0 0 0 600\nNingxia 0 0 0 14 0 0 0 0 14 14 14 14 14 0 0 0 0 0 0 0 0 0 0 420\nQinghai 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 299\nShaanxi 0 0 0 46 46 47 47 47 47 47 47 47 47 47 0 0 0 0 0 0 0 0 0 1395\nShandong 0 0 0 185 185 185 185 185 185 185 185 185 185 185 185 185 185 185 0 0 0 0 0 5553\nShanghai 0 0 0 312 312 312 312 312 312 313 314 314 314 314 0 0 0 0 0 0 0 0 0 9393\nShanxi 0 0 0 31 31 31 31 31 31 31 31 0 0 0 0 0 0 0 0 0 0 0 0 930\nSichuan 0 0 0 115 115 115 115 115 115 115 115 115 115 115 115 115 115 115 0 0 0 0 0 3445\nTianjin 0 0 0 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 0 0 0 0 0 1262\nXinjiang 0 0 0 45 45 45 45 45 45 45 45 45 45 45 0 0 0 0 0 0 0 0 0 1347\nXizang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 270\nYunnan 0 0 0 31 31 31 31 31 31 31 30 30 31 31 31 0 0 0 0 0 0 0 0 928\nZhejiang 0 0 0 403 403 403 403 403 403 403 403 403 403 403 403 403 403 403 0 0 0 0 0 12,075\nPanel B: Distribution of Firm-Day Observations by Province from 2 March to 31 March 2020\nCIPHT = 1 Full sample\n3/02 03 04 05 06 09 10 11 12 13 16 17 18 19 20 23 24 25 26 27 30 31 3/02–3/31\nAnhui 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2047\nBeijing 0 0 0 0 0 0 0 0 0 0 0 385 384 383 384 385 385 385 385 385 384 0 8435\nChongqing 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 989\nFujian 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 128 128 128 128 128 128 2792\nGansu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 527\nGuangdong 0 0 0 0 0 0 0 0 0 0 0 0 0 587 588 588 589 589 589 589 590 591 12,893\nGuangxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 650\nGuizhou 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 550\nHainan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 505\nHebei 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1144\nHeilongjiang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 595\nHenan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1562\nHubei 79 79 79 79 79 79 79 79 79 79 79 79 0 0 0 0 0 0 0 0 0 0 1730\nHunan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2032\nJiangsu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 8494\nJiangxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 892\nJilin 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 638\nLiaoning 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 66 1440\nNeimenggu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 20 440\nNingxia 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 308\nQinghai 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 220\nShaanxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1034\nShandong 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 187 0 0 0 0 0 4117\nShanghai 0 0 0 0 0 0 0 0 0 0 0 319 319 319 318 318 318 317 318 318 318 318 6996\nShanxi 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 682\nSichuan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2529\nTianjin 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 44 0 966\nXinjiang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 988\nXizang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 198\nYunnan 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 682\nZhejiang 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 406 406 406 407 407 408 0 8938\nNote: Values in bold are in periods after implementing the “closed community management” measures."}