CEMA Africa - Jifahamishe Information Portal

Covid-19 Africa Situation Report

as shown ---> and update only the href and the text of the link tab ---> Report for 20 July 2023 and update only the href and the text of the link tab ---> Report for 13 July 2023 and update only the href

COVID-19

Facebook mobility data

This analysis uses Facebook data for Good to understand mobility between and within counties. https://mutono.github.io/movement1.github.io/

Epidemiological Research

Collaborations

Collaborations: The South Africa Center for Epidemiological Modelling and Analysis – Prof Juliet Pulliam Epigroup at the University of Edinburgh, Tiba-Partnership – Prof Mark Woolhouse Cambridge Infectious Diseases and Cambridge-Africa Program – Dr Caroline Trotter Washington State University Neglected Tropical Diseases Modelling Consortium

COVID-19

Covid19 modelling task-force

UNIVERSITY OF NAIROBI Thumbi Mwangi(Prof)- Chair Loice Achieng Ombajo (Dr) Omu Anzala (Prof) Marybeth Maritim (Dr) Jeanette Dawa (PhD) Mutono Nyamai (PhD) Kenya CDCTaraz Samadari Kevin De Cock (MD) Thomas Achia (PhD) Peter Young Winfred Wambui KEMRI-WELLCOME TRUST James Nokes (PhD)

training

Graduate Courses

CEMA is always delighted to discuss opportunities for post-graduate training in epidemiological modelling. If you would like to discuss these opportunities or if you already have access to funding and wish to explore other options with CEMA, please send an email with your research

training

Fellowship opportunities

The University of Nairobi Centre for Epidemiological Modelling and Analysis (CEMA) in conjunction with the University of Nairobi Centre for Health Informatics and Digital Health at the Department of Computing & Informatics through funding from the Bill and Melinda Gates Foundation, is offering Master’

training

Past courses

1. **April 2019:** Epidemiological modelling workshop that explored the use of mathematical models in describing past and future disease transmission, and how these models can be applied in evaluating the effectiveness of disease control interventions and comparing policy options to reduce disease burden -

people

Veronica Chuchu

Chuchu is a Veterinary surgeon currently pursuing Master of Science in Veterinary Epidemiology andEconomics at the University of Nairobi and MSc Fellow at Kenya Medical Research Institute. Her research focuses

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Dr. Miriam Njoki

Miriam received her PhD in Epidemiology from the Swiss Tropical Public Health, University of Basel,Switzerland. Funded through the http://tiba-partnership.org African Academy of Sciences Post-doctoral fellowship, Miriam’s

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Mutono Nyamai

Mutono Nyamai is a data scientist combining applied epidemiological modelling and data analytics in developing prevention and control strategies for infectious diseases in Africa. She is a post-doctoral research fellow

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Gurdeep Jaswanti

Is pursuing a PhD in Tropical and Infectious.Diseases at the University of Nairobi Institute of Tropical and Infectious Diseases. Her PhD study is focused on developing and optimizing methods

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Josphat Muema

Received his MSc in Applied Epidemiology from Jomo Kenyatta University of Agriculture &amp Technology (JKUAT) and advanced level residency training on epidemiology from Field Epidemiology and Laboratory training Program

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Elkanah Otiang

Is a veterinary doctor currently undertaking a PhD in Applied Microbiology (Virology Option) at the University of Nairobi, Kenya, with joint supervision from Washington State University, through whom he is

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Dr. Loice Achieng Ombajo

She is a Physician and Infectious Disease Specialist. She Is a Senior Lecturer in Internal Medicine at the University of Nairobi and an Adjunct Assistant Professor of Medicine at the

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Prof. Thumbi Mwangi

Thumbi Mwangi is an infectious disease epidemiologist combining classical epidemiology, applied epidemiological modelling and data science to improve the speed and quality of policy decision making in human and animal

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Jeremy Penner

MD, MHSc, DTM&H, CCFP, FCFP Jeremy is a Clinical Professor of Family Medicine at the University of British Columbia and Medical Director of the Nisga’a Valley Health

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Dr. Phoebe Juma

Dr. Juma is a physician working at the Infectious Disease Unit of Kenyatta National Hospital. She is also a fellow in clinical infectious Disease at the University of Nairobi working with Dr. Loice Achieng and Dr. Marybeth Maritim. Her research interests include neglected tropical

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Dr. Shikoh Gitau

Shikoh is the CEO of Qhala, a Digital Innovation company that catalyzes digital transformation capabilities for organizations across Africa. She has over 10 years of experience in the Research, Design, Implementation, and Management of Digital Technologies. She has established expertise in both African and

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Stevens Kisaka

Stevens Kisaka is a PhD Fellow at the University of Nairobi Institute of Tropical and Infectious Diseases, Kenya. He teaches Epidemiology and Biostatistics at the School of Public Health and

COVID-19

Modelling Output

During the COVID-19 crisis, every country has required insights from modelling to guide responses. Although some modelling outputs from several well-established institutions covering multiple countries including on the African continent, Ministries of Health leadership and National Response task forces have found it challenging to

Digital Health Innovation

Jifahamishe

Jifahamishe represents a set of digital tools that enables the collection, collation, and analysis of Data. The goal is to enable practitioners not only easily collect data, but also aggregate, and make use of the data being collected, using a digital feedback tools. Jifahamishe

Health Informatics

This is the use of technological innovations and Data to enhance operations of the health systems though the identification, monitoring, and management of diseases. The goal is to ensure better understanding of diseases, leading to optimisation of resources, reduction of health care burden and

Kenya Health Data Trends

Caveat

Data draws from the DHIS2 system. The data quality may vary due to accuracy, completeness and reporting rates. While data quality may vary, trend analysis compared to the previous month and previous years is useful in determining whether health service uptake has been affected

Kenya Health Data Trends

Below is a set of analytics used to compare Key Health Indicators within Kenya. The Key Health Indicators are reported through the Kenyan District Health Information Software (DHIS) and are aggregated on a monthly basis. This analytic tool can serve as a useful proxy

training

Short courses

The University of Nairobi (UoN), Centre for Epidemiological Modelling and Analysis (CEMA), Jomo Kenyatta University of Agriculture and Technology (JKUAT), Pwani University(PU) and KEMRI-Kilifi with funding from Cambridge-Africa’s Alborada Research Fund is offering a free online R statistics workshop for postgraduate students