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10.1371/journal.pcbi.1008959 http://scihub22266oqcxt.onion/10.1371/journal.pcbi.1008959 34043622!8158864!34043622     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34043622&cmd=llinks): Failed to open stream: HTTP request failed! 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Estimating direct and spill-over impacts of political elections on COVID-19 transmission using synthetic control methods |pdf=|usr=}}{{34043622}} gab.com Text Estimating direct and spill-over impacts of political elections on COVID-19 transmission using synthetic control methods JO: PLoS Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=34043622 #FOAvip Mass gathering events have been identified as high-risk environments for community transmission of coronavirus disease 2019 (COVID-19). Empirical estimates of their direct and spill-over effects however remain challenging to identify. In this study, we propose the use of a novel synthetic control framework to obtain causal estimates for direct and spill-over impacts of these events. The Sabah state elections in Malaysia were used as an example for our proposed methodology and we investigate the event's spatial and temporal impacts on COVID-19 transmission. Results indicate an estimated (i) 70.0% of COVID-19 case counts within Sabah post-state election were attributable to the election's direct effect; (ii) 64.4% of COVID-19 cases in the rest of Malaysia post-state election were attributable to the election's spill-over effects. Sensitivity analysis was further conducted by examining epidemiological pre-trends, surveillance efforts, varying synthetic control matching characteristics and spill-over specifications. We demonstrate that our estimates are not due to pre-existing epidemiological trends, surveillance efforts, and/or preventive policies. These estimates highlight the potential of mass gatherings in one region to spill-over into an outbreak of national scale. Relaxations of mass gathering restrictions must therefore be carefully considered, even in the context of low community transmission and enforcement of safe distancing guidelines. Twit Text FOAVip Estimating direct and spill-over impacts of political elections on COVID-19 transmission using synthetic control methods ????PLoS Comput Biol http://www.kidney.de/pget.php?&tw=1&pmid=34043622 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34043622 #FOAvip English Wikipedia <ref>{{Cite pmid|34043622}}</ref> Estimating direct and spill-over impacts of political elections on COVID-19 transmission using synthetic control methods #MMPMID34043622 Lim JT; Maung K; Tan ST; Ong SE; Lim JM; Koo JR; Sun H; Park M; Tan KW; Yoong J; Cook AR; Dickens BSL PLoS Comput Biol 2021[May]; 17 (5): e1008959 PMID34043622show ga Mass gathering events have been identified as high-risk environments for community transmission of coronavirus disease 2019 (COVID-19). Empirical estimates of their direct and spill-over effects however remain challenging to identify. In this study, we propose the use of a novel synthetic control framework to obtain causal estimates for direct and spill-over impacts of these events. The Sabah state elections in Malaysia were used as an example for our proposed methodology and we investigate the event's spatial and temporal impacts on COVID-19 transmission. Results indicate an estimated (i) 70.0% of COVID-19 case counts within Sabah post-state election were attributable to the election's direct effect; (ii) 64.4% of COVID-19 cases in the rest of Malaysia post-state election were attributable to the election's spill-over effects. Sensitivity analysis was further conducted by examining epidemiological pre-trends, surveillance efforts, varying synthetic control matching characteristics and spill-over specifications. We demonstrate that our estimates are not due to pre-existing epidemiological trends, surveillance efforts, and/or preventive policies. These estimates highlight the potential of mass gatherings in one region to spill-over into an outbreak of national scale. Relaxations of mass gathering restrictions must therefore be carefully considered, even in the context of low community transmission and enforcement of safe distancing guidelines. |*Models, Theoretical[MESH] |*Politics[MESH] |COVID-19/epidemiology/prevention & control/*transmission/virology[MESH] |Crowding[MESH] |Disease Outbreaks[MESH] |Humans[MESH] |Malaysia/epidemiology[MESH]Estimating direct and spill-over impacts of political elections on COV(epmc).pdf DeepDyve Pubget Overpricing