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10.1186/s12889-021-10984-6 http://scihub22266oqcxt.onion/10.1186/s12889-021-10984-6 34039289!8152192!34039289     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 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Public+Health 2021 ; 21 (1): 990 Nephropedia Template TP {{tp|p=34039289|t=2021. The effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in different socioeconomic populations in Kuwait: a modeling study |pdf=|usr=}}{{34039289}} gab.com Text The effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in different socioeconomic populations in Kuwait: a modeling study JO: BMC Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34039289 #FOAvip BACKGROUND: Aggressive non-pharmaceutical interventions (NPIs) may reduce transmission of SARS-CoV-2. The extent to which these interventions are successful in stopping the spread have not been characterized in countries with distinct socioeconomic groups. We compared the effects of a partial lockdown on disease transmission among Kuwaitis (P(1)) and non-Kuwaitis (P(2)) living in Kuwait. METHODS: We fit a modified metapopulation SEIR transmission model to reported cases stratified by two groups to estimate the impact of a partial lockdown on the effective reproduction number ([Formula: see text]). We estimated the basic reproduction number ([Formula: see text]) for the transmission in each group and simulated the potential trajectories of an outbreak from the first recorded case of community transmission until 12 days after the partial lockdown. We estimated [Formula: see text] values of both groups before and after the partial curfew, simulated the effect of these values on the epidemic curves and explored a range of cross-transmission scenarios. RESULTS: We estimate [Formula: see text] at 1.08 (95% CI: 1.00-1.26) for P(1) and 2.36 (2.03-2.71) for P(2). On March 22nd, [Formula: see text] for P(1) and P(2) are estimated at 1.19 (1.04-1.34) and 1.75 (1.26-2.11) respectively. After the partial curfew had taken effect, [Formula: see text] for P(1) dropped modestly to 1.05 (0.82-1.26) but almost doubled for P(2) to 2.89 (2.30-3.70). Our simulated epidemic trajectories show that the partial curfew measure greatly reduced and delayed the height of the peak in P(1), yet significantly elevated and hastened the peak in P(2). Modest cross-transmission between P(1) and P(2) greatly elevated the height of the peak in P(1) and brought it forward in time closer to the peak of P(2). CONCLUSION: Our results indicate and quantify how the same lockdown intervention can accentuate disease transmission in some subpopulations while potentially controlling it in others. Any such control may further become compromised in the presence of cross-transmission between subpopulations. Future interventions and policies need to be sensitive to socioeconomic and health disparities. Twit Text FOAVip The effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in different socioeconomic populations in Kuwait: a modeling study ????BMC Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34039289 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34039289 #FOAvip English Wikipedia <ref>{{Cite pmid|34039289}}</ref> The effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in different socioeconomic populations in Kuwait: a modeling study #MMPMID34039289 Khadadah F; Al-Shammari AA; Alhashemi A; Alhuwail D; Al-Saif B; Alzaid SN; Alahmad B; Bogoch II BMC Public Health 2021[May]; 21 (1): 990 PMID34039289show ga BACKGROUND: Aggressive non-pharmaceutical interventions (NPIs) may reduce transmission of SARS-CoV-2. The extent to which these interventions are successful in stopping the spread have not been characterized in countries with distinct socioeconomic groups. We compared the effects of a partial lockdown on disease transmission among Kuwaitis (P(1)) and non-Kuwaitis (P(2)) living in Kuwait. METHODS: We fit a modified metapopulation SEIR transmission model to reported cases stratified by two groups to estimate the impact of a partial lockdown on the effective reproduction number ([Formula: see text]). We estimated the basic reproduction number ([Formula: see text]) for the transmission in each group and simulated the potential trajectories of an outbreak from the first recorded case of community transmission until 12 days after the partial lockdown. We estimated [Formula: see text] values of both groups before and after the partial curfew, simulated the effect of these values on the epidemic curves and explored a range of cross-transmission scenarios. RESULTS: We estimate [Formula: see text] at 1.08 (95% CI: 1.00-1.26) for P(1) and 2.36 (2.03-2.71) for P(2). On March 22nd, [Formula: see text] for P(1) and P(2) are estimated at 1.19 (1.04-1.34) and 1.75 (1.26-2.11) respectively. After the partial curfew had taken effect, [Formula: see text] for P(1) dropped modestly to 1.05 (0.82-1.26) but almost doubled for P(2) to 2.89 (2.30-3.70). Our simulated epidemic trajectories show that the partial curfew measure greatly reduced and delayed the height of the peak in P(1), yet significantly elevated and hastened the peak in P(2). Modest cross-transmission between P(1) and P(2) greatly elevated the height of the peak in P(1) and brought it forward in time closer to the peak of P(2). CONCLUSION: Our results indicate and quantify how the same lockdown intervention can accentuate disease transmission in some subpopulations while potentially controlling it in others. Any such control may further become compromised in the presence of cross-transmission between subpopulations. Future interventions and policies need to be sensitive to socioeconomic and health disparities. |*COVID-19[MESH] |*SARS-CoV-2[MESH] |Communicable Disease Control[MESH] |Humans[MESH] |Kuwait/epidemiology[MESH]The effects of non-pharmaceutical interventions on SARS-CoV-2 transmis(epmc).pdf DeepDyve Pubget Overpricing