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10.1158/1055-9965.EPI-20-0606 http://scihub22266oqcxt.onion/10.1158/1055-9965.EPI-20-0606 32371551!7357669!32371551     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Cancer+Epidemiol+Biomarkers+Prev 2020 ; 29 (7): 1283-1289 Nephropedia Template TP {{tp|p=32371551|t=2020. The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action |pdf=|usr=}}{{32371551}} gab.com Text The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action JO: Cancer Epidemiol Biomarkers Prev http://www.kidney.de/pget.php?&tw=1&pmid=32371551 #FOAvip The rapid pace of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) pandemic presents challenges to the real-time collection of population-scale data to inform near-term public health needs as well as future investigations. We established the COronavirus Pandemic Epidemiology (COPE) consortium to address this unprecedented crisis on behalf of the epidemiology research community. As a central component of this initiative, we have developed a COVID Symptom Study (previously known as the COVID Symptom Tracker) mobile application as a common data collection tool for epidemiologic cohort studies with active study participants. This mobile application collects information on risk factors, daily symptoms, and outcomes through a user-friendly interface that minimizes participant burden. Combined with our efforts within the general population, data collected from nearly 3 million participants in the United States and United Kingdom are being used to address critical needs in the emergency response, including identifying potential hot spots of disease and clinically actionable risk factors. The linkage of symptom data collected in the app with information and biospecimens already collected in epidemiology cohorts will position us to address key questions related to diet, lifestyle, environmental, and socioeconomic factors on susceptibility to COVID-19, clinical outcomes related to infection, and long-term physical, mental health, and financial sequalae. We call upon additional epidemiology cohorts to join this collective effort to strengthen our impact on the current health crisis and generate a new model for a collaborative and nimble research infrastructure that will lead to more rapid translation of our work for the betterment of public health. Twit Text FOAVip The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action ????Cancer Epidemiol Biomarkers Prev http://www.kidney.de/pget.php?&tw=1&pmid=32371551 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32371551 #FOAvip English Wikipedia <ref>{{Cite pmid|32371551}}</ref> The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action #MMPMID32371551 Chan AT; Drew DA; Nguyen LH; Joshi AD; Ma W; Guo CG; Lo CH; Mehta RS; Kwon S; Sikavi DR; Magicheva-Gupta MV; Fatehi ZS; Flynn JJ; Leonardo BM; Albert CM; Andreotti G; Beane-Freeman LE; Balasubramanian BA; Brownstein JS; Bruinsma F; Cowan AN; Deka A; Ernst ME; Figueiredo JC; Franks PW; Gardner CD; Ghobrial IM; Haiman CA; Hall JE; Deming-Halverson SL; Kirpach B; Lacey JV Jr; Marchand LL; Marinac CR; Martinez ME; Milne RL; Murray AM; Nash D; Palmer JR; Patel AV; Rosenberg L; Sandler DP; Sharma SV; Schurman SH; Wilkens LR; Chavarro JE; Eliassen AH; Hart JE; Kang JH; Koenen KC; Kubzansky LD; Mucci LA; Ourselin S; Rich-Edwards JW; Song M; Stampfer MJ; Steves CJ; Willett WC; Wolf J; Spector T Cancer Epidemiol Biomarkers Prev 2020[Jul]; 29 (7): 1283-1289 PMID32371551show ga The rapid pace of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) pandemic presents challenges to the real-time collection of population-scale data to inform near-term public health needs as well as future investigations. We established the COronavirus Pandemic Epidemiology (COPE) consortium to address this unprecedented crisis on behalf of the epidemiology research community. As a central component of this initiative, we have developed a COVID Symptom Study (previously known as the COVID Symptom Tracker) mobile application as a common data collection tool for epidemiologic cohort studies with active study participants. This mobile application collects information on risk factors, daily symptoms, and outcomes through a user-friendly interface that minimizes participant burden. Combined with our efforts within the general population, data collected from nearly 3 million participants in the United States and United Kingdom are being used to address critical needs in the emergency response, including identifying potential hot spots of disease and clinically actionable risk factors. The linkage of symptom data collected in the app with information and biospecimens already collected in epidemiology cohorts will position us to address key questions related to diet, lifestyle, environmental, and socioeconomic factors on susceptibility to COVID-19, clinical outcomes related to infection, and long-term physical, mental health, and financial sequalae. We call upon additional epidemiology cohorts to join this collective effort to strengthen our impact on the current health crisis and generate a new model for a collaborative and nimble research infrastructure that will lead to more rapid translation of our work for the betterment of public health. |*Betacoronavirus[MESH] |*Pandemics[MESH] |*Software[MESH] |COVID-19[MESH] |Coronavirus Infections/diagnosis/*epidemiology[MESH] |Data Collection/*methods[MESH] |Humans[MESH] |Models, Biological[MESH] |Pneumonia, Viral/diagnosis/*epidemiology[MESH] |Public Health[MESH] |SARS-CoV-2[MESH] |Smartphone[MESH] |United Kingdom/epidemiology[MESH]The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Act(epmc).pdf DeepDyve Pubget Overpricing