1 00:00:00,000 --> 00:00:00,281 2 00:00:00,281 --> 00:00:06,208 Kusukela ngoJanuwari 2024, umjovo wokugoma i-coronavirus ube yingxenye ebalulekile yohlelo 3 00:00:06,208 --> 00:00:10,770 lukazwelonke lokugoma lwaseBrazil futhi uyimpoqo ezikoleni. 4 00:00:10,770 --> 00:00:15,021 Lokhu kusho ukuthi izingane ezineminyaka eyisithupha ezinyangeni eziyisithupha kuya kwemihlanu 5 00:00:15,021 --> 00:00:17,869 zizogonywa ngomuthi wokugoma we-mRNA osesivivinyweni. 6 00:00:17,869 --> 00:00:24,056 Ukuze sihlolisise ukuthi lesi sinyathelo sinengqondo, ake sikhumbule lokho esivele sikwazi: 7 00:00:24,056 --> 00:00:30,840 Ngaphansi kwesimo sobhubhane lwe-coronavirus sango-2019, abantu abadala baqala ukugonywa i-COVID-19 kusetshenziswa 8 00:00:30,840 --> 00:00:34,935 imijovo esekelwe ku-mRNA eyayigunyazwe kuphela ngokomqathango. 9 00:00:34,935 --> 00:00:40,518 Kusukela ekuqaleni, ochwepheshe abafana noProfesa Dokotela Sucharit Bhakdi baxwayisa ngokungasebenzisi 10 00:00:40,518 --> 00:00:44,324 umuthi wokugoma we-mRNA osesivivinyweni kubantu. 11 00:00:44,324 --> 00:00:49,201 Uhlelo olwavezwayo lwabika ngakho. 12 00:00:49,201 --> 00:00:57,728 Naphezu kwalezi zixwayiso, iJalimane yaqala ukugonyela izingane ngomuthi wokugoma we-coronavirus osekwe ku-mRNA 13 00:00:57,728 --> 00:01:02,845 ngoDisemba 2021, kwalandela iSwitzerland ngoJanuwari 2022. 14 00:01:02,845 --> 00:01:10,543 Lokhu nakuba i-Oxford Academy yayivele yashicilela izifundo ngoNovemba 2020 ezikhombisa ukuthi impendulo 15 00:01:10,543 --> 00:01:19,904 yezingane ezineminyaka engu-6 kuya kwengu-13 esibolweni se-COVID-19 yayingabonisi izimpawu cishe ku-40% wezimo. 16 00:01:19,904 --> 00:01:23,190 Kwezinye izimo, zavezela ukuhamba kancane. 17 00:01:23,190 --> 00:01:30,529 Namuhla, eminyakeni embalwa emva kokusetshenziswa kabanzi kwemijovo ye-mRNA yokuvikela i-COVID-19, kuhlanganise nezingane, 18 00:01:30,529 --> 00:01:35,221 kunamaqiniso avela ocwaningweni atholakala manje angakhathazi kakhulu mayelana 19 00:01:35,221 --> 00:01:39,202 nemiphumela engemihle yokugoma i-COVID-19 ezinganeni. 20 00:01:39,202 --> 00:01:45,217 Noma kunjalo, iRobert Koch Institute eJalimane iyaqhubeka nokuncoma ukugonywa kwe-coronavirus nge-mRNA 21 00:01:45,217 --> 00:01:48,966 ezinganeni ezinamandla okuvikela omzimba abuthakathaka. 22 00:01:48,966 --> 00:01:56,708 Ngezansi kunamaqiniso nezifundo mayelana nomonakalo wezitozo ezinganeni nasentsha kulandela ukugonywa kwe-mRNA ye-coronavirus: 23 00:01:56,708 --> 00:01:58,075 Ukufa okungu-1,234,321 24 00:01:58,075 --> 00:02:05,701 Abantu abasha ababezitholele imijovo eminingi ye-COVID bafa kaningi kakhulu kunalabo abangazange bagonywe. 25 00:02:05,701 --> 00:02:09,201 Ngokwezibalo ezivela ehhovisi lezibalo likazwelonke laseBrithani. 26 00:02:09,201 --> 00:02:16,316 Idatha ifaka ukufa ngokwesimo sokugonywa kusukela mhla ziyi-1 Ephreli 2021 kuya mhla ziyi-31 Meyi 2023, 27 00:02:16,316 --> 00:02:20,752 ngesikhathi umkhankaso wokugonywa we-COVID-19 wawugcwele. 28 00:02:20,752 --> 00:02:28,413 Ukuhlaziywa okwenziwe yi-The Exposé, iphephandaba eliku-inthanethi elihlukile, kuthole ukuthi ngoFebhuwari 2023, 29 00:02:28,413 --> 00:02:33,953 izinga lokufa phakathi kwabantu abasha ababehlanganyele imijovo emine ye-COVID-19 30 00:02:33,953 --> 00:02:37,865 beliphezulu ngo-318% kunalabo abangagonyelwanga. 31 00:02:37,865 --> 00:02:43,483 Olunye ucwaningo luthole ukuthi ngempilo ngayinye esindiswe ngomuthi wokugoma we-mRNA we-COVID-19, 32 00:02:43,483 --> 00:02:47,527 kwabangela ukufa okungaba izikhathi eziyishumi nane ngaphezulu. 33 00:02:47,527 --> 00:02:54,169 Ababhali bocwaningo abazange bacele kuphela ukumiswa kwesikhashana kokugonywa kwe-mRNA ye-COVID-19 emhlabeni 34 00:02:54,169 --> 00:03:01,390 wonke, kodwa futhi bathi okugonywa kumele kususwe ngokushesha ohlelweni lokugonywa kwezingane futhi izikhuthazo zimiswe. 35 00:03:01,390 --> 00:03:09,564 Babhalile: "Akulungile futhi akunamgomo ukuhlinzeka umntwana ngomuthi wokugoma osesivivinyweni uma ingozi yokufa nge-COVID-19 36 00:03:09,564 --> 00:03:15,842 isondele ekubeni yilutho, kodwa ingozi yokulimala kwenhliziyo okungapheli ingu-2.2% ngokusekelwe 37 00:03:15,842 --> 00:03:20,597 kudatha yokubikezela engcono kakhulu etholakalayo." 38 00:03:20,597 --> 00:03:23,550 Ukuhlaselwa, ishaqela sokungezwani 39 00:03:23,550 --> 00:03:30,763 Ocwaningweni oluholwa nguDkt Julia Hippisley-Cox, uProfesa we-Epidemiology Yezokwelapha eNyuvesi 40 00:03:30,763 --> 00:03:36,257 yase-Oxford, kwahlolwa idatha kuze kube ngomhlaka 7 Agasti 2022. 41 00:03:36,257 --> 00:03:41,505 Idatha yafaka inani labantu cishe izigidi ezi-5.2 zezingane eNgilandi. 42 00:03:41,505 --> 00:03:45,169 Abahlaziyi baqhathanisa izingane ezigonyiwe nezingagonywanga. 43 00:03:45,169 --> 00:03:48,450 Izingane ezagonyelwa zazelashwa esibhedlela kaningi. 44 00:03:48,450 --> 00:03:54,160 kufaka phakathi ukuhlaselwa, ukushaqeka okukhulu kwezimo zokungezwani komzimba kanye ne-appendicitis. 45 00:03:54,160 --> 00:04:01,260 Ucwaningo lukazwelonke lwaseNorway olususelwa kumarekhodi lwathola ukuthi izingane ezineminyaka engu-12 nangaphezulu 46 00:04:01,260 --> 00:04:07,013 ezithole imijovo ye-mRNA ye-COVID evela kwa-Pfizer/BioNTech nakwa-Moderna zazisengozini enkulu 47 00:04:07,013 --> 00:04:10,960 yokuthola izinhlobonhlobo zemiphumela emibi enzima. 48 00:04:10,960 --> 00:04:15,903 Lezi zifaka phakathi, phakathi kokunye: ukushaqeka okukhulu kwe-allergy, i-myocarditis, 49 00:04:15,903 --> 00:04:19,638 i-appendicitis esheshayo, i-epilepsy, nokunye okwengeziwe. 50 00:04:19,638 --> 00:04:22,500 Inani labahlanganyeli ocwaningweni lalingama-500,000 izingane. 51 00:04:22,500 --> 00:04:32,619 abazalwe phakathi kuka-2002 no-2009 futhi abathola umjovo we-mRNA we-COVID ngo-2021 noma ngo-2022. 52 00:04:32,619 --> 00:04:39,483 eLower Saxony, eJalimane, uhulumeni wesifundazwe wabika ngoJulayi 2023 ukuthi cishe izingane nabasha 53 00:04:39,483 --> 00:04:47,326 abayizi-10,000 babedinga ukwelashwa ngenxa yemiphumela engemihle yemijovo yokugoma kusukela ngo-2021. 54 00:04:47,326 --> 00:04:52,211 Uma sikala konke eJalimane – cishe ingxenye eyishumi yezingane zihlala eLower Saxony – kulindeleke izimo 55 00:04:52,211 --> 00:04:58,355 ezingaba ngu-100 000 zokulimala okubangelwa umuthi wokugoma kubantu abangaphansi kweminyaka engu-18! 56 00:04:58,355 --> 00:05:01,493 I-Myocarditis, isitroko 57 00:05:01,493 --> 00:05:06,272 Olunye ucwaningo lweNyuvesi yase-Oxford luhlaziye idatha esemthethweni kahulumeni mayelana nezingane 58 00:05:06,272 --> 00:05:09,502 nabantu abasha baseNgilandi abangaphezu kwesigidi esisodwa. 59 00:05:09,502 --> 00:05:14,900 Amacala e-myocarditis ne-pericarditis wenzeka kuphela ezinganeni ezagonyelwe. 60 00:05:14,900 --> 00:05:21,755 Ngemva komthamo wokuqala womuthi wokugoma, lezi zimo zenzeka ezimweni ezingama-27 kubantu abayizigidi eziyisodwa abagomelwe. 61 00:05:21,755 --> 00:05:25,240 futhi ngemva kokugoma kwesibili, izikhathi eziyishumi kwizigameko eziyizigidi eziyisodwa. 62 00:05:25,240 --> 00:05:30,459 Iqembu lochwepheshe benhliziyo nodokotela bezingane abavela eHong Kong nabo bashicilele ucwaningo ngesihloko 63 00:05:30,459 --> 00:05:35,040 sokuvuvukala kwemisipha yenhliziyo ezinganeni nasentsha kulandela ukugonywa kwe-COVID-19. 64 00:05:35,040 --> 00:05:39,664 Bakubonise ukuthi umonakalo wenhliziyo usaqhubeka ubonakala ezinyangeni eziningana ngemuva kokuvuvukala 65 00:05:39,664 --> 00:05:42,000 kwemisipha yenhliziyo okubangelwa umuthi wokugoma. 66 00:05:42,000 --> 00:05:47,140 Ukubhujiswa kwemisipha yenhliziyo kwatholakala kubahlanganyeli abangu-19 kwabangu-26. 67 00:05:47,140 --> 00:05:53,943 Uhlelo lwe-VAERS lwase-US yindlela yokubika yaseMelika yokuphendula okubi okulandela ukugonywa. 68 00:05:53,943 --> 00:05:59,147 NgoDisemba 2021, i-VAERS yayithole imibiko eyizinkulungwane ezimbalwa ye-myocarditis kanye nezigaxa 69 00:05:59,147 --> 00:06:03,900 zegazi ebuchosheni kulandela ukugonywa ezinganeni ezineminyaka engu-5 kuya kwengu-17. 70 00:06:03,900 --> 00:06:09,863 Iwebhusayithi i-Health Impact News ihlanganise imibiko yeziphetho ezimbi kakhulu nezidabukisayo zezingane. 71 00:06:09,863 --> 00:06:13,599 Phakathi kwabo kwakukhona intombazane eneminyaka eyisishiyagalombili ubudala eyahlaselwa 72 00:06:13,599 --> 00:06:17,536 yi-stroke nokopha ebuchosheni ngemva kokuthola umuthi wokugoma we-COVID-19 we-Pfizer. 73 00:06:17,536 --> 00:06:21,580 ukulahlekelwa ngumntwana esiswini, ukufa kwezingane ezisanda kuzalwa 74 00:06:21,580 --> 00:06:26,624 Izingane ezingakazalwa nazo ziyathinteka yimijovo ye-mRNA ye-coronavirus. 75 00:06:26,624 --> 00:06:32,627 Ukuhlaziywa kwedatha esemthethweni kahulumeni waseCanada okwenziwe nguDkt. Naomi Wolf kukhombisa ukuthi inani eliphezulu 76 00:06:32,627 --> 00:06:36,929 labesifazane abakhulelwe bahlushwa ukulahlekelwa ngumntwana esiswini nezinye izinkinga 77 00:06:36,929 --> 00:06:40,220 zokuzala ngemva kokuthola umjovo we-mRNA we-COVID-19. 78 00:06:40,220 --> 00:06:49,005 Waqhathanisa idatha yeziguli eziyizigidi eziyisithupha e-Ontario, eCanada, phakathi konyaka ka-2015 no-2022. 79 00:06:49,005 --> 00:06:56,909 Ngaphezu kuka-85% wabahlali base-Ontario babe sebethola imijovo emibili yokugoma i-coronavirus ngoMashi 2022. 80 00:06:56,909 --> 00:07:05,172 Lokhu kwenze kwaba nokwenzeka ukuqhathanisa idatha yabantu abangagonyelwanga kusukela ngo-2015 kuya ku-2019 81 00:07:05,172 --> 00:07:10,500 nedatha yabantu abagonyelwe kusukela ngo-2021 kuya ku-2022. 82 00:07:10,500 --> 00:07:15,536 Ukuqhathanisa idatha kukhombise ukwanda okukhulu kokulahlekelwa ngumntwana ngaphambi kokubeletha nangokulahlekelwa 83 00:07:15,536 --> 00:07:18,890 ngumntwana ngesikhathi sokukhulelwa kuze kube isonto le-19. 84 00:07:18,890 --> 00:07:26,494 NgoJuni 2024, uDkt. Michael Nevradakis wabika okulandelayo emagazini eku-inthanethi ethi "The Defender" 85 00:07:26,494 --> 00:07:33,780 ngocwaningo olwenziwe ku-VAERS, uhlelo lokubika lwaseMelika lweziphumo ezingezinhle zokugoma: 86 00:07:33,780 --> 00:07:42,056 Kukhona cishe ukufa okungu-418 okubhalwe phansi kahle kwezingane ezingaphansi kweminyaka engu-18 kulandela ukugonywa kwe-COVID. 87 00:07:42,056 --> 00:07:48,327 Futhi kukhona cishe ukufa okwengeziwe okungu-120 ezinganeni, okufingqiwe endabeni njenge 88 00:07:48,327 --> 00:07:52,576 'ingane, umntwana omncane, osanda kuzalwa, umbungu'. 89 00:07:52,576 --> 00:07:54,220 Sekukonke, umhlaziyi we-VAERS 90 00:07:54,220 --> 00:08:01,388 U-Albert Benavides ucabanga ukuthi inani lokufa okulandela ukugonywa kwe-COVID liphezulu kakhulu ezinganeni. 91 00:08:01,388 --> 00:08:11,000 Ngokombiko weHarvard ka-2011, ngaphansi kuka-1% yazo zonke izimpendulo ezimbi zomjovo zibikwa ku-VAERS. 92 00:08:11,000 --> 00:08:16,688 Bafowethu nodadewethu abahloniphekile, lolu hlelo lukhombisa kuphela ingxenye yemiphumela engemihle 93 00:08:16,688 --> 00:08:19,618 ebangelwa yimijovo ye-mRNA ye-coronavirus ezinganeni. 94 00:08:19,618 --> 00:08:24,780 Kubalulekile futhi ukwazi ukuthi cishe kuzo zonke izimo, ukutheleleka kwe-coronavirus 95 00:08:24,780 --> 00:08:28,672 ezinganeni kuba kancane noma kungabonakali ngezimpawu. 96 00:08:28,672 --> 00:08:34,240 Noma kunjalo, umuthi wokugoma we-coronavirus we-mRNA wanconywa ezinganeni emhlabeni wonke! 97 00:08:34,240 --> 00:08:41,816 Kuvela umbuzo: Kungenzeka kanjani ukuthi, ngaphansi kwezimo ezinzima kangaka, umjovo we-mRNA we-coronavirus awuvinjelwe 98 00:08:41,816 --> 00:08:46,800 emhlabeni wonke ezinganeni, abasha nabesifazane abakhulelwe? 99 00:08:46,800 --> 00:08:49,071 Kunezizathu eziningana zokuthi kungani kunjalo: 100 00:08:49,071 --> 00:08:55,680 Imiphumela yocwaningo igcinwa kakhulu emphakathini futhi ayenziwe icace. 101 00:08:55,680 --> 00:09:01,420 Izindaba eziyinhloko ziyahluleka emsebenzini wazo wokwazisa umphakathi ngalokhu. 102 00:09:01,420 --> 00:09:10,016 Umphumela wukuthi lezi zifundo cishe zithathwa ngokuphelele yabezindaba ezihlukile futhi zishicilelwa lapho kuphela! 103 00:09:10,016 --> 00:09:15,780 Ngicela usize ngokusabalalisa lawa mazwi mayelana nalezi zimo eziphathelene nemiphumela emibi evamile yemijovo ezinganeni. 104 00:09:15,780 --> 00:09:20,462 Ngokwenza kanjalo, usiza ukuvimbela ubuhlungu obukhulu ezinganeni nemindeni yazo. 105 00:09:20,462 --> 00:09:27,915 Kuyadabukisa kakhulu lapho izingane ezaziphila kahle emhlabeni wonke zifa ngenxa yokugonywa kwe-mRNA ye-coronavirus. 106 00:09:27,915 --> 00:09:32,637 Ekugcineni, umjovo we-mRNA we-coronavirus kufanele ususwe, ngoba uyisibonelo sobunjiniyela 107 00:09:32,637 --> 00:09:35,694 bezakhi zofuzo ezinganeni nasebantwini abadala! 108 00:09:35,694 --> 00:09:38,218 Bheka futhi uhlelo olukhombisiwe.