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Daniel M Weinberger

Biographic Data

ID5535092
NAMEDaniel M Weinberger
GIVEN NAMESDaniel M
FAMILY NAMEWeinberger
SIGNATUREWEINBERGER D M
AFFILIATIONSYale University
ORCID0000-0003-1178-8086
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Distribution and transmission of M. tuberculosis in a high-HIV prevalence city in Malawi

    Open Access•Melanie H Chitwood, Elizabeth L Corbett et al.•ARTICLE•PLOS Global Public Health•2025

    Delays in identifying and treating individuals with infectious tuberculosis (TB) contribute to poor health outcomes and allow ongoing community transmission of M. tuberculosis ( Mtb ). Current recommendations for screening for tuberculosis specify community characteristics (e.g., areas with high local tuberculosis prevalence) that can be used to target screening within the general population. However, areas of higher tuberculosis burden are not n…

  • The disappearance of malaria from Denmark, 1862-1900

    Open Access•Mathias Mølbak Ingholt, Maarten Van Wijhe et al.•ARTICLE•The Economic History Review•2025•References: 20

    The reason for malaria's disappearance from northwestern Europe in the early twentieth century has long been discussed but remains an unresolved conundrum. This is partially due to a previous focus on the early modern era, and partially because various theories have never been tested against each other. In this study, we test some of the proposed hypotheses using nineteenth-century Denmark as a case. We found that the accelerating agricultural im…

  • Hypertension Control During the Coronavirus Disease 2019 Pandemic

    Caroline Korves, Aldo J Peixoto et al.•ARTICLE•Medical Care•2024•References: 22

    DESIGN: Retrospective cohort study. OBJECTIVE: We sought to examine whether disruptions in follow-up intervals contributed to hypertension control. BACKGROUND: Disruptions in health care were widespread during the coronavirus disease 2019 pandemic. PATIENTS AND METHODS: We identified a cohort of individuals with hypertension in both prepandemic (March 2019-February 2020) and pandemic periods (March 2020-February 2022) in the Veterans Health Admin…

  • Excess Deaths in Mexico City and New York City During the Covid-19 Pandemic, March to August 2020

    Martin Lajous, Rodrigo Huerta-Gutiérrez et al.•ARTICLE•American Journal of Public Health•2021•Cited by: 1•References: 7

    Objectives. To estimate all-cause excess deaths in Mexico City (MXC) and New York City (NYC) during the COVID-19 pandemic. Methods. We estimated expected deaths among residents of both cities between March 1 and August 29, 2020, using log-linked negative binomial regression and compared these deaths with observed deaths during the same period. We calculated total and age-specific excess deaths and 95% prediction intervals (PIs). Results. There we…

  • Excess Deaths in Mexico City and New York City During the Covid-19 Pandemic, March to August 2020

    Martin Lajous, Rodrigo Huerta-Gutiérrez et al.•ARTICLE•American Journal of Public Health•2021•Cited by: 1•References: 7

    Objectives. To estimate all-cause excess deaths in Mexico City (MXC) and New York City (NYC) during the COVID-19 pandemic. Methods. We estimated expected deaths among residents of both cities between March 1 and August 29, 2020, using log-linked negative binomial regression and compared these deaths with observed deaths during the same period. We calculated total and age-specific excess deaths and 95% prediction intervals (PIs). Results. There we…

  • Excess Deaths in Mexico City and New York City During the Covid-19 Pandemic, March to August 2020

    Martin Lajous, Rodrigo Huerta-Gutiérrez et al.•ARTICLE•American Journal of Public Health•2021•Cited by: 1•References: 7

    Objectives. To estimate all-cause excess deaths in Mexico City (MXC) and New York City (NYC) during the COVID-19 pandemic. Methods. We estimated expected deaths among residents of both cities between March 1 and August 29, 2020, using log-linked negative binomial regression and compared these deaths with observed deaths during the same period. We calculated total and age-specific excess deaths and 95% prediction intervals (PIs). Results. There we…

  • Hypertension Control During the Coronavirus Disease 2019 Pandemic

    Caroline Korves, Aldo J Peixoto et al.•ARTICLE•Medical Care•2024•References: 22

    DESIGN: Retrospective cohort study. OBJECTIVE: We sought to examine whether disruptions in follow-up intervals contributed to hypertension control. BACKGROUND: Disruptions in health care were widespread during the coronavirus disease 2019 pandemic. PATIENTS AND METHODS: We identified a cohort of individuals with hypertension in both prepandemic (March 2019-February 2020) and pandemic periods (March 2020-February 2022) in the Veterans Health Admin…

  • Distribution and transmission of M. tuberculosis in a high-HIV prevalence city in Malawi

    Open Access•Melanie H Chitwood, Elizabeth L Corbett et al.•ARTICLE•PLOS Global Public Health•2025

    Delays in identifying and treating individuals with infectious tuberculosis (TB) contribute to poor health outcomes and allow ongoing community transmission of M. tuberculosis ( Mtb ). Current recommendations for screening for tuberculosis specify community characteristics (e.g., areas with high local tuberculosis prevalence) that can be used to target screening within the general population. However, areas of higher tuberculosis burden are not n…

  • The disappearance of malaria from Denmark, 1862-1900

    Open Access•Mathias Mølbak Ingholt, Maarten Van Wijhe et al.•ARTICLE•The Economic History Review•2025•References: 20

    The reason for malaria's disappearance from northwestern Europe in the early twentieth century has long been discussed but remains an unresolved conundrum. This is partially due to a previous focus on the early modern era, and partially because various theories have never been tested against each other. In this study, we test some of the proposed hypotheses using nineteenth-century Denmark as a case. We found that the accelerating agricultural im…

Medicine (4 works) · Confidence interval (2 works) · Coronavirus disease 2019 (COVID-19) (2 works) · COVID-19 and healthcare impacts (2 works) · Demography (2 works) · Disease (2 works) · Infectious disease (medical specialty) (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Pandemic (2 works)

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