Anthony Waruru

Biographic Data

ID7017856
NAMEAnthony Waruru
GIVEN NAMESAnthony
FAMILY NAMEWaruru
SIGNATUREWARURU A
AFFILIATIONSCenters for Disease Control and Prevention
ORCID0000-0002-4281-6345
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS0
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Underlying conditions associated with adverse Covid-19 treatment outcomes in selected Kenyan hospitals, October 2020 to December 2021

    Open AccessDickens Onyango, Wanjiru Waruiru et al.ARTICLEGlobal Health Action2025

    Background Data are limited on the impact of chronic underlying conditions on COVID-19 treatment outcomes in sub-Saharan Africa.Objectives Determine the effect of underlying conditions on COVID-19 severity and treatment outcomes in Kenya.Methods We conducted a retrospective cohort study using routine medical records from Kenya’s three large COVID-19 treatment centers. We examined two outcomes: mortality and clinical severity. Patients with lower …

  • Assessing sex differences in viral load suppression and reported deaths using routinely collected program data from Pepfar-supported countries in sub-Saharan Africa

    Open AccessDanielle Fernandez, Hammad Ali et al.ARTICLEBMC Public Health2023

    The mean rate of reported deaths was higher among men in most models despite adjusting for VLS. Further exploration into differences in care-seeking behaviors; coverage of screening, prophylaxis, and/or treatment of opportunistic infections; and more extensive testing options for men to include CD4 is recommended

  • Methods for conducting trends analysis

    Open AccessThomas Achia, Ismael Flores Cervantes et al.ARTICLEBMC Public Health2022

    Our approach can be used to support trend comparisons for variables in HIV surveys in low-income settings. Independent national household surveys can be assessed for comparability, adjusted as appropriate, and used to estimate trends in key indicators. Analyzing trends over time can not only provide insights into Kenya's progress toward HIV epidemic control but also identify gaps

  • All-cause and cause-specific mortality rates for Kisumu County

    Open AccessWanjiru Waruiru, Violet Oramisi et al.ARTICLEBMC Public Health2022

    Background Understanding the magnitude and causes of mortality at national and sub-national levels for countries is critical in facilitating evidence-based prioritization of public health response. We provide comparable cause of death data from Kisumu County, a high HIV and malaria-endemic county in Kenya, and compared them with Kenya and low-and-middle income countries (LMICs). Methods We analyzed data from a mortuary-based study at two of the l…

  • Characteristics of users of HIV self-testing in Kenya, outcomes, and factors associated with use

    Open AccessJonathan Mwangi, Fredrick Miruka et al.ARTICLEBMC Public Health2022

    Kenya has made progress in rolling out HIVST. However, geographic differences and social demographic factors could influence HIVST use. Therefore, more still needs to be done to scale up the use of HIVST among various subpopulations. Using multiple access models could help ensure equity in access to HIVST. In addition, there is need to determine how HIVST use may influence behavior change towardsaccess to prevention and HIV treatment services

  • Mortuary and hospital-based HIV mortality surveillance among decedents in a low-resource setting

    Open AccessEmmanuel Nyakeriga, Wanjiru Waruiru et al.ARTICLEBMC Public Health2022

    This study shows that in low-resource settings, conducting hospital and mortuary-based surveillance is feasible and can be an alternative source of mortality data when civil registry data are inadequate

  • Where Are the Newly Diagnosed HIV Positives in Kenya? Time to Consider Geo-Spatially Guided Targeting at a Finer Scale to Reach the “First 90”

    Open AccessAnthony Waruru, Joyce Wamicwe et al.ARTICLEFrontiers in Public Health2021

    Background: The UNAIDS 90-90-90 Fast-Track targets provide a framework for assessing coverage of HIV testing services (HTS) and awareness of HIV status – the “first 90.” In Kenya, the bulk of HIV testing targets are aligned to the five highest HIV-burden counties. However, we do not know if most of the new HIV diagnoses are in these five highest-burden counties or elsewhere. Methods: We analyzed facility-level HTS data in Kenya from 1 October 201…

  • Epidemiological profile of individuals diagnosed with HIV

    Richelle Harklerode, Wanjiru Waruiru et al.ARTICLEAIDS Care2020

    Understanding the characteristics of individuals who are newly diagnosed with HIV is critical to controlling the HIV epidemic. Characterizing this population can improve strategies to identify undiagnosed positives and assist in targeting the provision of HIV services to improve health outcomes. We describe the characteristics of newly diagnosed HIV cases in western Kenya from 124 health facilities. The study cohort cases were matched to prevent …

  • Noncommunicable disease burden among HIV patients in care

    Open AccessDunstan Achwoka, Anthony Waruru et al.ARTICLEBMC Public Health2019

    We analyzed 3170 records of HIV-infected patients; 2115 (66.3%) were from women. Slightly over half (51.1%) of patient records were from PLHIVs aged above 35 years. Close to two-thirds (63.9%) of PLHIVs were on ART. Proportion of any documented NCD among PLHIV was 11.5% (95% confidence interval [CI] 9.3, 14.1), with elevated blood pressure as the most common NCD 343 (87.5%) among PLHIV with a diagnosed NCD. Despite this observation, only 17 (4.9%…