Teresia Njoki Kimani

ORCID: 0009-0004-0745-2701
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About
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Research Areas
  • COVID-19 epidemiological studies
  • COVID-19 Clinical Research Studies
  • Viral Infections and Outbreaks Research
  • SARS-CoV-2 and COVID-19 Research
  • Parasitic Diseases Research and Treatment
  • Parasite Biology and Host Interactions
  • Human Health and Disease
  • Parasites and Host Interactions
  • COVID-19 and healthcare impacts
  • Global Maternal and Child Health
  • Vaccine Coverage and Hesitancy
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • COVID-19 and Mental Health
  • Viral Infections and Vectors
  • Insects and Parasite Interactions
  • Global Public Health Policies and Epidemiology
  • Chronic Disease Management Strategies
  • Birth, Development, and Health
  • Data-Driven Disease Surveillance
  • Zoonotic diseases and public health

University of Nairobi
2022-2025

Kenya School of Government
2025

Washington State University
2022-2025

Ministry of Health
2021-2024

Imperial College London
2017

SARS-CoV-2 continues to circulate with new variants of uncertain transmissibility and virulence arising over time resulting in varying morbidity mortality between within countries. This study aimed identify the predictors among hospitalized COVID-19 patients across first five waves pandemic. We conducted a retrospective cohort at Tigoni Level 4 Hospital Kenya. The included admitted June 2020 August 2022 who tested positive for SARS-CoV-2. Sociodemographic clinical data were abstracted from...

10.3390/covid5060076 article EN cc-by COVID 2025-05-23

The study of infectious disease outbreaks is required to train today's epidemiologists. A typical way introduce and explain key epidemiological concepts through the analysis a historical outbreak. There are, however, few training options that explicitly utilise real-time simulated stochastic where participants themselves comprise dataset they subsequently analyse. In this paper, we present teaching exercise in which an outbreak over five-day period analysed. We iteratively developed offer...

10.1016/j.epidem.2017.12.002 article EN cc-by Epidemics 2017-12-09

The public health impact of the coronavirus disease 2019 (COVID-19) pandemic has motivated a rapid search for potential therapeutics, with some key successes. However, different treatments, and consequently research procurement priorities, have not been clear.Using mathematical model severe acute respiratory syndrome 2 (SARS-CoV-2) transmission, COVID-19 clinical care, we explore public-health under range scenarios varying healthcare capacity, epidemic trajectories; drug efficacy in absence...

10.1093/cid/ciab837 article EN cc-by Clinical Infectious Diseases 2021-09-20

Abstract Background The unprecedented public health impact of the COVID-19 pandemic has motivated a rapid search for potential therapeutics, with some key successes. However, different treatments, and consequently research procurement priorities, have not been clear. Methods Findings We develop mathematical model SARS-CoV-2 transmission, disease clinical care to explore public-health range under scenarios varying: i) healthcare capacity, ii) epidemic trajectories; iii) drug efficacy in...

10.1101/2021.06.17.21259078 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-06-20

Objective: To evaluate the risk of maternal death following intensification Maternal and Perinatal Death Surveillance (MPDSR) activities substitution dinoprostone for misoprostol labour induction. Design: Case-cohort Setting: Kiambu County Referral Hospital(KCRH), County, Kenya Population or Sample: Mothers delivering at KCRH during January 2018 - December 2021 Methods: We recruited all 58 mothers who died between as cases. A random subcohort 232 did not die was selected from a retrospective...

10.22541/au.168759006.63058859/v1 preprint EN Authorea (Authorea) 2023-06-24
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