The impact of HIV and antiretroviral therapy on cervical cancer burden in Zambia: a modelling study

ART:

Antiretroviral therapy

DHS:

Demographic health survey

GLOBOCAN:

Global Cancer Observatory

HIV:

Human immunodeficiency virus

HPV:

Human papillomavirus

HPVsim:

Human papillomavirus simulator

IQR:

Interquartile range

IRR:

Incidence rate ratio

LMICs:

Low- and middle-income countries

UN:

United Nations

UNAIDS:

Joint United Nations Programme on HIV/AIDS

VIA:

Visual inspection with acetic acid

WHO:

World Health Organization

This study was supported by the Swiss Cancer Research foundation (grant number KFS-5447-08-2021) and by the US National Institutes of Health’s National Institute of Allergy and Infectious Diseases; the Eunice Kennedy Shriver National Institute of Child Health and Human Development; the National Cancer Institute; the National Institute of Mental Health; the National Institute on Drug Abuse; the National Heart, Lung and Blood Institute; the National Institute on Alcohol Abuse and Alcoholism; the National Institute of Diabetes and Digestive and Kidney Diseases; the Fogarty International Center under grant number U01AI069924.

Simulations and calibrations were performed on UBELIX (https://www.id.unibe.ch/hpc), the HPC cluster at the University of Bern, Switzerland.

Open access funding provided by University of Bern

Authors and Affiliations

1. Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland

   John Andoh & Eliane Rohner

2. Graduate School for Health Sciences, University of Bern, Bern, Switzerland

   John Andoh

3. Centre for Infectious Disease Research in Zambia, Lusaka, Zambia

   Herbert Kapesa & Albert Manasyan

4. Department of Gynecologic Oncology, Cancer Diseases Hospital, Lusaka, Zambia

   Susan Citonje Msadabwe & Paul Kamfwa

5. University of Alabama at Birmingham, Birmingham, AL, USA

   Albert Manasyan

6. Research Unit, Cancer Diseases Hospital, Lusaka, Zambia

   Watson Zulu

7. Global Health Division, Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA

   Cliff Kerr

8. Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, Zurich, Switzerland

   Matthias Egger

9. Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK

   Matthias Egger

10. Centre for Integrated Data and Epidemiological Research, School of Public Health, University of Cape Town, Cape Town, South Africa

    Matthias Egger

11. Gender Equity Division, Bill and Melinda Gates Foundation, Seattle, WA, USA

    Robyn Stuart

12. South African Centre for Epidemiological Modeling and Analysis, Stellenbosch University, Stellenbosch, South Africa

    Cari van Schalkwyk

Corresponding author

Correspondence to John Andoh.

Competing interests

The authors declare no competing interests.

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