COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2023 Dec 12;30(1). doi: 10.3201/eid3001.231215. Online ahead of print.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test po...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2023 Dec 12;30(1). doi: 10.3201/eid3001.231215. Online ahead of print.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test po...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2023 Dec 12;30(1). doi: 10.3201/eid3001.231215. Online ahead of print.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test po...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2023 Dec 12;30(1). doi: 10.3201/eid3001.231215. Online ahead of print.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test po...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2023 Dec 12;30(1). doi: 10.3201/eid3001.231215. Online ahead of print.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test po...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2024 Jan;30(1):58-69. doi: 10.3201/eid3001.231215. Epub 2023 Dec 12.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test posi...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2024 Jan;30(1):58-69. doi: 10.3201/eid3001.231215. Epub 2023 Dec 12.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test posi...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2024 Jan;30(1):58-69. doi: 10.3201/eid3001.231215. Epub 2023 Dec 12.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test posi...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2024 Jan;30(1):58-69. doi: 10.3201/eid3001.231215. Epub 2023 Dec 12.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test posi...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
COVID-19-Related School Closures, United States, July 27, 2020-June 30, 2022
Emerg Infect Dis. 2024 Jan;30(1):58-69. doi: 10.3201/eid3001.231215. Epub 2023 Dec 12.ABSTRACTAs part of a multiyear project that monitored illness-related school closures, we conducted systematic daily online searches during July 27, 2020-June 30, 2022, to identify public announcements of COVID-19-related school closures (COVID-SCs) in the United States lasting >1 day. We explored the temporospatial patterns of COVID-SCs and analyzed associations between COVID-SCs and national COVID-19 surveillance data. COVID-SCs reflected national surveillance data: correlation was highest between COVID-SCs and both new PCR test posi...
Source: Emerging Infectious Diseases - December 12, 2023 Category: Infectious Diseases Authors: Nicole Zviedrite Ferdous Jahan Sarah Moreland Faruque Ahmed Amra Uzicanin Source Type: research
Selenium nanoparticles incorporated in nanofibers media eliminate H1N1 activity: a novel approach for virucidal antiviral and antibacterial respiratory mask
Environ Sci Pollut Res Int. 2023 Dec 8. doi: 10.1007/s11356-023-31202-3. Online ahead of print.ABSTRACTThe consecutive viral infectious outbreaks impose severe complications on public health besides the economic burden which led to great interest in antiviral personal protective equipment (PPE). Nanofiber-based respiratory mask has been introduced as a significant barrier to eliminate the airborne transmission from aerosols toward reduction the viral infection spreading. Herein, selenium nanoparticles incorporated in polyamide 6 nanofibers coated on spunbond nonwoven were synthesized via electrospinning technique (PA6@SeNP...
Source: Environmental Science and Pollution Research International - December 8, 2023 Category: Environmental Health Authors: Safieh Boroumand Raheleh Faridi Majidi Ali Gheibi Reza Faridi Majidi Source Type: research
Towards Inferring Network Properties from Epidemic Data
Bull Math Biol. 2023 Dec 8;86(1):6. doi: 10.1007/s11538-023-01235-3.ABSTRACTEpidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field models, such as the pairwise model (PWM), the high-dimensionality becomes tractable. While such models have been used extensively for model analysis, there is limited work in the context of statistical inference. In this paper, we explore the extent to which the PWM with the susceptible-infected-recover...
Source: Bulletin of Mathematical Biology - December 8, 2023 Category: Bioinformatics Authors: Istvan Z Kiss Luc Berthouze Wasiur R KhudaBukhsh Source Type: research
Selenium nanoparticles incorporated in nanofibers media eliminate H1N1 activity: a novel approach for virucidal antiviral and antibacterial respiratory mask
Environ Sci Pollut Res Int. 2023 Dec 8. doi: 10.1007/s11356-023-31202-3. Online ahead of print.ABSTRACTThe consecutive viral infectious outbreaks impose severe complications on public health besides the economic burden which led to great interest in antiviral personal protective equipment (PPE). Nanofiber-based respiratory mask has been introduced as a significant barrier to eliminate the airborne transmission from aerosols toward reduction the viral infection spreading. Herein, selenium nanoparticles incorporated in polyamide 6 nanofibers coated on spunbond nonwoven were synthesized via electrospinning technique (PA6@SeNP...
Source: Environmental Science and Pollution Research International - December 8, 2023 Category: Environmental Health Authors: Safieh Boroumand Raheleh Faridi Majidi Ali Gheibi Reza Faridi Majidi Source Type: research
Towards Inferring Network Properties from Epidemic Data
Bull Math Biol. 2023 Dec 8;86(1):6. doi: 10.1007/s11538-023-01235-3.ABSTRACTEpidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field models, such as the pairwise model (PWM), the high-dimensionality becomes tractable. While such models have been used extensively for model analysis, there is limited work in the context of statistical inference. In this paper, we explore the extent to which the PWM with the susceptible-infected-recover...
Source: Bulletin of Mathematical Biology - December 8, 2023 Category: Bioinformatics Authors: Istvan Z Kiss Luc Berthouze Wasiur R KhudaBukhsh Source Type: research
Towards Inferring Network Properties from Epidemic Data
Bull Math Biol. 2023 Dec 8;86(1):6. doi: 10.1007/s11538-023-01235-3.ABSTRACTEpidemic propagation on networks represents an important departure from traditional mass-action models. However, the high-dimensionality of the exact models poses a challenge to both mathematical analysis and parameter inference. By using mean-field models, such as the pairwise model (PWM), the high-dimensionality becomes tractable. While such models have been used extensively for model analysis, there is limited work in the context of statistical inference. In this paper, we explore the extent to which the PWM with the susceptible-infected-recover...
Source: Bulletin of Mathematical Biology - December 8, 2023 Category: Bioinformatics Authors: Istvan Z Kiss Luc Berthouze Wasiur R KhudaBukhsh Source Type: research
