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  1. Article ; Online: Serological Studies and the Value of Information.

    Dean, Natalie E / Howard, David H / Lopman, Benjamin A

    American journal of public health

    2023  Volume 113, Issue 5, Page(s) 517–519

    MeSH term(s) Humans ; Serologic Tests
    Language English
    Publishing date 2023-03-09
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 121100-6
    ISSN 1541-0048 ; 0090-0036 ; 0002-9572
    ISSN (online) 1541-0048
    ISSN 0090-0036 ; 0002-9572
    DOI 10.2105/AJPH.2023.307245
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Population immunity and vaccine protection against infection.

    Leshem, Eyal / Lopman, Benjamin Alan

    Lancet (London, England)

    2021  Volume 397, Issue 10286, Page(s) 1685–1687

    MeSH term(s) Antibodies, Viral ; Humans ; Vaccination ; Vaccines
    Chemical Substances Antibodies, Viral ; Vaccines
    Language English
    Publishing date 2021-04-23
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(21)00870-9
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  3. Article ; Online: Wading Into the Morass: Natural Immunity to Enteropathogens.

    Lopman, Benjamin A / Baker, Julia M

    The Journal of infectious diseases

    2020  Volume 222, Issue 11, Page(s) 1764–1767

    MeSH term(s) Diarrhea ; Feces ; Humans ; Immunity, Innate ; Intestine, Small
    Language English
    Publishing date 2020-05-03
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 3019-3
    ISSN 1537-6613 ; 0022-1899
    ISSN (online) 1537-6613
    ISSN 0022-1899
    DOI 10.1093/infdis/jiaa033
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  4. Article ; Online: Population-Level Relative Effectiveness of the COVID-19 Vaccines and the Contribution of Naturally Acquired Immunity.

    Shioda, Kayoko / Chen, Yangping / Collins, Matthew H / Lopman, Benjamin A

    The Journal of infectious diseases

    2022  Volume 227, Issue 6, Page(s) 773–779

    Abstract: Background: Immune protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can be induced by natural infection or vaccination or both. Interaction between vaccine-induced immunity and naturally acquired immunity at the population ...

    Abstract Background: Immune protection against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can be induced by natural infection or vaccination or both. Interaction between vaccine-induced immunity and naturally acquired immunity at the population level has been understudied.
    Methods: We used regression models to evaluate whether the impact of coronavirus disease 2019 (COVID-19) vaccines differed across states with different levels of naturally acquired immunity from March 2021 to April 2022 in the United States. Analysis was conducted for 3 evaluation periods separately (Alpha, Delta, and Omicron waves). As a proxy for the proportion of the population with naturally acquired immunity, we used either the reported seroprevalence or the estimated proportion of the population ever infected in each state.
    Results: COVID-19 mortality decreased as coverage of ≥1 dose increased among people ≥65 years of age, and this effect did not vary by seroprevalence or proportion of the total population ever infected. Seroprevalence and proportion ever infected were not associated with COVID-19 mortality, after controlling for vaccine coverage. These findings were consistent in all evaluation periods.
    Conclusions: COVID-19 vaccination was associated with a sustained reduction in mortality at state level during the Alpha, Delta, and Omicron periods. The effect did not vary by naturally acquired immunity.
    MeSH term(s) Humans ; COVID-19 Vaccines ; COVID-19/epidemiology ; COVID-19/prevention & control ; Seroepidemiologic Studies ; SARS-CoV-2 ; Adaptive Immunity ; Vaccination
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2022-12-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 3019-3
    ISSN 1537-6613 ; 0022-1899
    ISSN (online) 1537-6613
    ISSN 0022-1899
    DOI 10.1093/infdis/jiac483
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  5. Article ; Online: Declining COVID-19 case-fatality in Georgia, USA, March 2020 to March 2021: a sign of real improvement or a broadening epidemic?

    Adams, Carly / Wortley, Pascale / Chamberlain, Allison / Lopman, Benjamin A

    Annals of epidemiology

    2022  Volume 72, Page(s) 57–64

    Abstract: Purpose: To examine whether declines in the crude U.S. COVID-19 case fatality ratio is due to improved clinical care and/or other factors.: Methods: We used multivariable logistic regression, adjusted for age and other individual-level ... ...

    Abstract Purpose: To examine whether declines in the crude U.S. COVID-19 case fatality ratio is due to improved clinical care and/or other factors.
    Methods: We used multivariable logistic regression, adjusted for age and other individual-level characteristics, to examine associations between report month and mortality among confirmed and probable COVID-19 cases and hospitalized cases in Georgia reported March 2, 2020 to March 31, 2021.
    Results: Compared to August 2020, mortality risk among cases was lowest in November 2020 (OR = 0.84; 95% CI: 0.78-0.91) and remained lower until March 2021 (OR = 0.86; 95% CI: 0.77-0.95). Among hospitalized cases, mortality risk increased in December 2020 (OR = 1.16, 95% CI: 1.07-1.27) and January 2021 (OR = 1.25; 95% CI: 1.14-1.36), before declining until March 2021 (OR = 0.90, 95% CI: 0.78-1.04).
    Conclusions: After adjusting for other factors, including the shift to a younger age distribution of cases, we observed lower mortality risk from November 2020 to March 2021 compared to August 2020 among cases. This suggests that improved clinical management may have contributed to lower mortality risk. Among hospitalized cases, mortality risk increased again in December 2020 and January 2021, but then decreased to a risk similar to that among all cases by March 2021.
    MeSH term(s) Age Distribution ; COVID-19 ; Epidemics ; Georgia/epidemiology ; Hospitalization ; Humans
    Language English
    Publishing date 2022-05-29
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, P.H.S. ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 1074355-8
    ISSN 1873-2585 ; 1047-2797
    ISSN (online) 1873-2585
    ISSN 1047-2797
    DOI 10.1016/j.annepidem.2022.05.008
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  6. Article ; Online: Severe breakthrough COVID-19 infections in Scotland-implications for immunisation programmes.

    Leshem, Eyal / Nelson, Kristin / Lopman, Benjamin Alan

    The Lancet. Respiratory medicine

    2021  Volume 9, Issue 12, Page(s) 1354–1356

    MeSH term(s) COVID-19 ; COVID-19 Vaccines ; Humans ; Immunization Programs ; SARS-CoV-2 ; Scotland/epidemiology ; Vaccination
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2021-09-29
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 2686754-0
    ISSN 2213-2619 ; 2213-2600
    ISSN (online) 2213-2619
    ISSN 2213-2600
    DOI 10.1016/S2213-2600(21)00413-6
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  7. Article ; Online: Using viral load to model disease dynamics.

    Lopman, Benjamin A / McQuade, Elizabeth T Rogawski

    Science (New York, N.Y.)

    2021  Volume 373, Issue 6552, Page(s) 280–281

    MeSH term(s) Anti-HIV Agents ; Models, Biological ; Viral Load
    Chemical Substances Anti-HIV Agents
    Language English
    Publishing date 2021-07-22
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 128410-1
    ISSN 1095-9203 ; 0036-8075
    ISSN (online) 1095-9203
    ISSN 0036-8075
    DOI 10.1126/science.abj4185
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  8. Article: Modelling the Interplay between Responsive Individual Vaccination Decisions and the Spread of SARS-CoV-2.

    Wallrafen-Sam, Karina / Quesada, Maria Garcia / Lopman, Benjamin A / Jenness, Samuel M

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: The uptake of COVID-19 vaccines remains low despite their high effectiveness. Epidemic models that represent decision-making psychology can provide insight into the potential impact of vaccine promotion interventions in the context of the COVID-19 ... ...

    Abstract The uptake of COVID-19 vaccines remains low despite their high effectiveness. Epidemic models that represent decision-making psychology can provide insight into the potential impact of vaccine promotion interventions in the context of the COVID-19 pandemic. We coupled a network-based mathematical model of SARS-CoV-2 transmission in Georgia, USA with a social-psychological vaccination decision-making model in which vaccine side effects, post-vaccination infections, and other unidentified community-level factors could "nudge" individuals towards vaccine resistance while hospitalization spikes could nudge them towards willingness. Combining an increased probability of hospitalization-prompted resistant-to-willing switches with a decreased probability of willing-to-resistant switches prompted by unidentified community-level factors increased vaccine uptake and decreased SARS-CoV-2 incidence by as much as 30.7% and 24.0%, respectively. The latter probability had a greater impact than the former. This illustrates the disease prevention potential of vaccine promotion interventions that address community-level factors influencing decision-making and anticipate the case curve instead of reacting to it.
    Language English
    Publishing date 2023-08-25
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.08.24.23294588
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Comparative effectiveness of alternative intervals between first and second doses of the mRNA COVID-19 vaccines.

    Shioda, Kayoko / Breskin, Alexander / Harati, Pravara / Chamberlain, Allison T / Komura, Toshiaki / Lopman, Benjamin A / Rogawski McQuade, Elizabeth T

    Nature communications

    2024  Volume 15, Issue 1, Page(s) 1214

    Abstract: The optimal interval between the first and second doses of COVID-19 mRNA vaccines has not been thoroughly evaluated. Employing a target trial emulation approach, we compared the effectiveness of different interdose intervals among >6 million mRNA vaccine ...

    Abstract The optimal interval between the first and second doses of COVID-19 mRNA vaccines has not been thoroughly evaluated. Employing a target trial emulation approach, we compared the effectiveness of different interdose intervals among >6 million mRNA vaccine recipients in Georgia, USA, from December 2020 to March 2022. We compared three protocols defined by interdose interval: recommended by the Food and Drug Administration (FDA) (17-25 days for Pfizer-BioNTech; 24-32 days for Moderna), late-but-allowable (26-42 days for Pfizer-BioNTech; 33-49 days for Moderna), and late ( ≥ 43 days for Pfizer-BioNTech; ≥50 days for Moderna). In the short-term, the risk of SARS-CoV-2 infection was lowest under the FDA-recommended protocol. Longer-term, the late-but-allowable protocol resulted in the lowest risk (risk ratio on Day 120 after the first dose administration compared to the FDA-recommended protocol: 0.83 [95% confidence interval: 0.82-0.84]). Here, we showed that delaying the second dose by 1-2 weeks may provide stronger long-term protection.
    MeSH term(s) United States ; Humans ; COVID-19/prevention & control ; COVID-19 Vaccines ; SARS-CoV-2/genetics ; Georgia ; RNA, Messenger
    Chemical Substances COVID-19 Vaccines ; RNA, Messenger
    Language English
    Publishing date 2024-02-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-024-45334-8
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  10. Article ; Online: Waxing Understanding of Waning Immunity.

    Lopman, Benjamin A / Pitzer, Virginia E

    The Journal of infectious diseases

    2018  Volume 217, Issue 6, Page(s) 851–853

    MeSH term(s) Bangladesh ; Immunity, Innate ; Rotavirus Vaccines
    Chemical Substances Rotavirus Vaccines
    Language English
    Publishing date 2018-02-02
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 3019-3
    ISSN 1537-6613 ; 0022-1899
    ISSN (online) 1537-6613
    ISSN 0022-1899
    DOI 10.1093/infdis/jix670
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