Anthony Waruru, MPhil - Centers for Disease Control and Prevention

Anthony Waruru

MPhil

Centers for Disease Control and Prevention

Nairobi | Kenya

Main Specialties: Epidemiology, Public Health, Statistics

Additional Specialties: Surveillance and spatial epidemiologist

ORCID logohttps://orcid.org/0000-0002-4281-6345


Top Author

Anthony Waruru, MPhil - Centers for Disease Control and Prevention

Anthony Waruru

MPhil

Introduction

Currently I am a PhD candidate at University of Bergen, Norway. I hold a Master of Philosophy (MPhil) in Health Sciences from the Centre for International Health, University of Bergen, Norway. I have basic and advanced training in: health sciences, epidemiology, health information systems, and statistics, complimented by experience and contributions in the field of health bioinformatics both locally and internationally. I also have a Post Graduate Diploma in Project Planning and Management that has core elements in project conceptualizing, planning, management, and monitoring and evaluation.
Work history: Currently 4 years in surveillance epidemiology and more than 5 years in monitoring and evaluation of public health programs in Kenya. Jul’11 to date: Surveillance epidemiologist for Centres for Disease Control and Prevention, Division of Global HIV/AIDS (DGHA) in Nairobi. Oct’09-Jun’11: Monitoring and Evaluation Technical Advisor for Centres for Disease Control and Prevention, Division of Global HIV/AIDS (DGHA) in Nairobi. Jun’08-Oct’09: Monitoring, Evaluation and Research Manager for Nutrition and HIV Program, Academy for Educational Development in Nairobi. Jul’04-Jun’08: Research Officer/Epidemiologist/biostatistician (Deputy Section head for Global AIDS Program data project) KEMRI/CDC program in Kisumu. Mar’04-Jun’04: Senior data manager for GAP in Nairobi.
Training: 2015-2018: PhD candidate at University of Bergen, Norway. 2005-2006: Post-graduate diploma in Project Planning and Management - Maseno University, Kenya. 2001-2003: Master of Philosophy (MPhil) in Health Sciences - University of Bergen, Norway. 2000-2001: Post-graduate fellowship in bioinformatics - Uppsala University, Sweden.
Knowledge and Skills: Epidemiology; data management, analysis and reporting; training and facilitation; wide array of health bioinformatics.
Publications/presentations: Data analyst and co-author of articles in peer-reviewed journals, first author in 2 articles (one submitted to a journal April 2015), abstracts for various conferences, presentations in international and local conferences.
Interests: Epidemiology; public health; setting up health management information systems (HIS); data management and use for decision making; spatial epidemiology and public health bioinformatics.

Primary Affiliation: Centers for Disease Control and Prevention - Nairobi , Kenya

Specialties:

Additional Specialties:

Research Interests:


View Anthony Waruru’s Resume / CV

Education

May 2015
University of Bergen
MPhil (Health Sciences - 2003), Phd Epidemiology (ongoing)
Center for International Health

Experience

Oct 2009
Centers for Disease Control and Prevention
Surveillance Epidemiologist
Division of Global HIV and TB

Publications

14Publications

202Reads

130Profile Views

123PubMed Central Citations

Disclosure and Clinical Outcomes Among Young Adolescents Living With HIV in Kenya.

J Adolesc Health 2019 Feb 25;64(2):242-249. Epub 2018 Oct 25.

Institute for Global Health Sciences, University of California, San Francisco, San Francisco California.

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http://dx.doi.org/10.1016/j.jadohealth.2018.08.013DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375672PMC
February 2019
6 Reads
3.612 Impact Factor

Finding Hidden HIV Clusters to Support Geographic-Oriented HIV Interventions in Kenya.

J Acquir Immune Defic Syndr 2018 Jun;78(2):144-154

Centre for International Health, University of Bergen, Bergen, Norway.

Background: In a spatially well known and dispersed HIV epidemic, identifying geographic clusters with significantly higher HIV prevalence is important for focusing interventions for people living with HIV (PLHIV).

Methods: We used Kulldorff spatial-scan Poisson model to identify clusters with high numbers of HIV-infected persons 15-64 years old. We classified PLHIV as belonging to either higher prevalence or lower prevalence (HP/LP) clusters, then assessed distributions of sociodemographic and biobehavioral HIV risk factors and associations with clustering.

Results: About half of survey locations, 112/238 (47%) had high rates of HIV (HP clusters), with 1.1-4.6 times greater PLHIV adults observed than expected. Richer persons compared with respondents in lowest wealth index had higher odds of belonging to a HP cluster, adjusted odds ratio (aOR) 1.61 [95% confidence interval (CI): 1.13 to 2.3], aOR 1.66 (95% CI: 1.09 to 2.53), aOR 3.2 (95% CI: 1.82 to 5.65), and aOR 2.28 (95% CI: 1.09 to 4.78) in second, middle, fourth, and highest quintiles, respectively. Respondents who perceived themselves to have greater HIV risk or were already HIV-infected had higher odds of belonging to a HP cluster, aOR 1.96 (95% CI: 1.13 to 3.4) and aOR 5.51 (95% CI: 2.42 to 12.55), respectively; compared with perceived low risk. Men who had ever been clients of female sex worker had higher odds of belonging to a HP cluster than those who had never been, aOR 1.47 (95% CI: 1.04 to 2.08); and uncircumcised men vs circumcised, aOR 3.2 (95% CI: 1.74 to 5.8).

Conclusions: HIV infection in Kenya exhibits localized geographic clustering associated with sociodemographic and behavioral factors, suggesting disproportionate exposure to higher HIV risk. Identification of these clusters reveals the right places for targeting priority-tailored HIV interventions.

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http://dx.doi.org/10.1097/QAI.0000000000001652DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5959257PMC
June 2018
81 Reads
4.556 Impact Factor

Detectable HIV Viral Load in Kenya: Data from a Population-Based Survey.

PLoS One 2016 18;11(5):e0154318. Epub 2016 May 18.

University of California San Francisco, San Francisco, United States of America.

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0154318PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871583PMC
July 2017
16 Reads
7 Citations
3.234 Impact Factor

Genetic Diversity of Cryptosporidium in Children in an Urban Informal Settlement of Nairobi, Kenya.

PLoS One 2015 21;10(12):e0142055. Epub 2015 Dec 21.

Centre for Microbiological Research, Kenya Medical Research Institute, Nairobi, Kenya.

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0142055PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4687032PMC
June 2016
3 Reads
7 Citations
3.234 Impact Factor

Burden of HIV infection among children aged 18 months to 14 years in Kenya: results from a nationally representative population-based cross-sectional survey.

J Acquir Immune Defic Syndr 2014 May;66 Suppl 1:S82-8

*Division of Global HIV/AIDS, Center for Global Health, US Centers for Disease Control and Prevention, Nairobi, Kenya; †National AIDS and Sexually Transmitted Infection (STI) Control Programme, Ministry of Health, Nairobi, Kenya; and ‡Global Health Sciences, University of California, San Francisco, San Francisco, CA.

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http://dx.doi.org/10.1097/QAI.0000000000000118DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784690PMC
May 2014
4 Reads
6 Citations
4.560 Impact Factor

Using information and communications technology in a national population-based survey: the Kenya AIDS Indicator Survey 2012.

J Acquir Immune Defic Syndr 2014 May;66 Suppl 1:S123-9

*Division of Global HIV/AIDS Center for Global Health, US Centers for Disease Control and Prevention, Nairobi, Kenya; †Association of Schools and Programs of Public Health Allan Rosenfield Global Health Fellowship, Nairobi, Kenya; ‡HIV Implementation Sciences and Services, Kenya Medical Research Institute, Kisumu, Kenya; and §Directorate of Information and Communication Technology, Kenya National Bureau of Statistics, Nairobi, Kenya.

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http://dx.doi.org/10.1097/QAI.0000000000000116DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786179PMC
May 2014
4 Reads
7 Citations
4.560 Impact Factor

Cryptosporidiosis: prevalence, genotype analysis, and symptoms associated with infections in children in Kenya.

Am J Trop Med Hyg 2006 Jul;75(1):78-82

Centre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.

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July 2006
8 Reads
51 Citations
2.700 Impact Factor

Audio computer-assisted self-interviewing (ACASI) may avert socially desirable responses about infant feeding in the context of HIV.

BMC Med Inform Decis Mak 2005 Aug 2;5:24. Epub 2005 Aug 2.

Centres for Disease Control and Prevention, Kenya Medical Research Institute, Kisumu, Kenya.

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http://dx.doi.org/10.1186/1472-6947-5-24DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1190182PMC
August 2005
6 Reads
21 Citations
1.500 Impact Factor

Top co-authors

Emily Zielinski-Gutierrez
Emily Zielinski-Gutierrez

Colorado State University

4
Andrea A Kim
Andrea A Kim

University of California

4
Thorkild Tylleskar
Thorkild Tylleskar

University of Bergen

3
Erastus Mulinge
Erastus Mulinge

Kenya Medical Research Institute

3
Tom Oluoch
Tom Oluoch

University of California

3
George W Rutherford
George W Rutherford

University of California

3
Peter W Young
Peter W Young

Centers for Disease Control and Prevention (CDC)

3
Irene Mukui
Irene Mukui

University of Washington

2