Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1016/j.epidem.2021.100462 http://scihub22266oqcxt.onion/10.1016/j.epidem.2021.100462 33887643!8054699!33887643     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Epidemics 2021 ; 35 (ä): 100462 Nephropedia Template TP {{tp|p=33887643|t=2021. Participatory syndromic surveillance as a tool for tracking COVID-19 in Bangladesh |pdf=|usr=}}{{33887643}} gab.com Text Participatory syndromic surveillance as a tool for tracking COVID-19 in Bangladesh JO: Epidemics http://www.kidney.de/pget.php?&tw=1&pmid=33887643 #FOAvip Limitations in laboratory diagnostic capacity and reporting delays have hampered efforts to mitigate and control the ongoing coronavirus disease 2019 (COVID-19) pandemic globally. To augment traditional lab and hospital-based surveillance, Bangladesh established a participatory surveillance system for the public to self-report symptoms consistent with COVID-19 through multiple channels. Here, we report on the use of this system, which received over 3 million responses within two months, for tracking the COVID-19 outbreak in Bangladesh. Although we observe considerable noise in the data and initial volatility in the use of the different reporting mechanisms, the self-reported syndromic data exhibits a strong association with lab-confirmed cases at a local scale. Moreover, the syndromic data also suggests an earlier spread of the outbreak across Bangladesh than is evident from the confirmed case counts, consistent with predicted spread of the outbreak based on population mobility data. Our results highlight the usefulness of participatory syndromic surveillance for mapping disease burden generally, and particularly during the initial phases of an emerging outbreak. Twit Text FOAVip Participatory syndromic surveillance as a tool for tracking COVID-19 in Bangladesh ????Epidemics http://www.kidney.de/pget.php?&tw=1&pmid=33887643 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33887643 #FOAvip English Wikipedia <ref>{{Cite pmid|33887643}}</ref> Participatory syndromic surveillance as a tool for tracking COVID-19 in Bangladesh #MMPMID33887643 Mahmud AS; Chowdhury S; Sojib KH; Chowdhury A; Quader MT; Paul S; Saidy MS; Uddin R; Engo-Monsen K; Buckee CO Epidemics 2021[Jun]; 35 (ä): 100462 PMID33887643show ga Limitations in laboratory diagnostic capacity and reporting delays have hampered efforts to mitigate and control the ongoing coronavirus disease 2019 (COVID-19) pandemic globally. To augment traditional lab and hospital-based surveillance, Bangladesh established a participatory surveillance system for the public to self-report symptoms consistent with COVID-19 through multiple channels. Here, we report on the use of this system, which received over 3 million responses within two months, for tracking the COVID-19 outbreak in Bangladesh. Although we observe considerable noise in the data and initial volatility in the use of the different reporting mechanisms, the self-reported syndromic data exhibits a strong association with lab-confirmed cases at a local scale. Moreover, the syndromic data also suggests an earlier spread of the outbreak across Bangladesh than is evident from the confirmed case counts, consistent with predicted spread of the outbreak based on population mobility data. Our results highlight the usefulness of participatory syndromic surveillance for mapping disease burden generally, and particularly during the initial phases of an emerging outbreak. |Bangladesh/epidemiology[MESH] |COVID-19/*epidemiology[MESH] |Disease Outbreaks[MESH] |Humans[MESH] |Longitudinal Studies[MESH] |SARS-CoV-2[MESH] |Self Report[MESH]Participatory syndromic surveillance as a tool for tracking COVID-19 i(epmc).pdf DeepDyve Pubget Overpricing