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Reconstruction of Transmission Pairs for COVID-19 in family clusters by Crowdsourcing data Xiao-Ke XU Dalian Minzu Univerisity July 30, 2020 !"#$%&#'"()*+,%-.- #/ !0123456 Starting from mid-January, most of the provincial and


  1. Reconstruction of Transmission Pairs for COVID-19 in family clusters by Crowdsourcing data Xiao-Ke XU Dalian Minzu Univerisity July 30, 2020

  2. !"#$%&#'"()*+,%-.- #/ !0123456 Starting from mid-January, most of the provincial and urban level health authorities in China began to report detailed information regarding COVID-19 cases. ������ !" ����������������� # �� $ � "% ������� $ � "&'&% ���������� ������������������������� " � $ ����������� " � ! ����������� " � ( ���������������������� " � ) ������������������������� Patient Yue, female, 42, resident in Building C, XX housing estate, Tianjia’an District, Huainan City, Anhui Province. Arrived in Huainan from Hefei on 20 January. Had close contacts with confirmed cases Fu and Yue in Fengtai County during 23-30 January. Showed fever symptom on 1 February, admitted to Chaoyang Hospital on 4 February, tentatively diagnosed with COVID-19 on 5 February, confirmed on 6 February. Patient is currently quarantined and treated in the destined hospital, with mild clinical symptoms. !"

  3. !"#$%&#'"()*+,%-.- #/ !0123456 #'.&)%7,8'97) :"#;)*(7 The reports were published via official websites and/or social media platforms. We collected all of the case disclosure manually. 9936 records, from 27 provincial and 264 urban health authorities in China outside Hubei province, from January 19, 2020 to March 5. Five categories of detailed information can be extracted from the above disclosure , i.e., demographic information, past mobility trace, exposure to the virus and/or potential contact with known infection(s), the timeline of symptom onset, hospitalisation, infection confirmation, and clinical symptoms. #$%&'($)*+,&%-../ !"#$%&%'$()#'&&*&+',+&#-.$/%0#+%, ).1$&#'#0'2#3.$#+)$%%#-%%/&4 012$3. 2 4&5 6&,*51-(,*12,'*7&,38 !"

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  10. �������������������� ��������������� �� �������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  12. ��������������������������������� ��� ����������-������� ������������������-������������������� Red or blue shades indicate an increased or decreased hazard of infection within households relative to outside of households, respectively. The hazard of being infected within households is higher for age groups of young (<18) and elderly (>65) people, whereas the hazard of being infected outside of households is higher for age groups between 18 and 64 years. Primary cases of elderly (>65) people are more prone to cause household infections. !"#

  13. ��������������������������������� ������ ����������-������� ������������������-������������������� Red or blue shades indicate an increased or decreased hazard of infection within households relative to outside of households, respectively. Hazard of infection between different genders is higher for households than non-household transmission $%&'()* $+,- !"#$%&#'()"*+,(-.(/*+,(01."21(3#45"6 75"+,(81#'9." :*+,(;#$5$(<$4.==",(>?"@(A(-()#*,(<.'B#6"'(C(D$95"'E,()"'(/#'EFG(H.@$'4=?*@="$'($I(3?#'46"44"$'(;#"?4(I$?( '$J.5(D$?$'#J"?*4(:"4.#4.(KLMN("'(6#"'5#'O(D1"'#P(>4="6#="$'($I(0*Q.?%4Q?.#O"'E(>J.'=4,(0.?"#5(R'=.?J#5,(#'O(A#S#?O($I(R'I.@="$'G(D5"'"@#5(R'I.@="$*4(:"4.#4.4,(TKLKLU( !"# O$"PMLGMLNVW@"OW@"##XNL

  14. �������� ������������������-������������������������-������ ������ -������������ 643 transmission clusters !"#$%&#%$'()*+, -.$/&)0$/)&/1'%+$%/2.'*/3/*4($& Red, green and blue nodes denote primary cases, household secondary cases and non-household secondary cases, respectively. !"#

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