Kapata, Nathan

Prevalence of SARS-CoV-2 in six districts in Zambia in July, 2020: a cross-sectional cluster sample survey

Mulenga, L. B., Hines, J. Z., Fwoloshi, S., Chirwa, L., Siwingwa, M., Yingst, S., Wolkon, A., Barradas, D. T., Favaloro, J., Zulu, J. E., et al. (2021) · The Lancet Global Health

COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research

Cited by 149

The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert MTB/RIF in Lusaka Zambia

Muyoyeta, M., Maduskar, P., Moyo, M., Kasese, N., Milimo, D., Spooner, R., Kapata, N., Hogeweg, L., van Ginneken, B., & Ayles, H. (2014) · PLoS ONE

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI

Cited by 98

Minimizing the impact of the triple burden of COVID-19, tuberculosis and HIV on health services in sub-Saharan Africa

Nachega, J. B., Kapata, N., Sam-Agudu, N. A., Decloedt, E. H., Katoto, P. D. M. C., Nagu, T., Mwaba, P., Yeboah-Manu, D., Chanda-Kapata, P., Ntoumi, F., et al. (2021) · International Journal of Infectious Diseases

Tuberculosis Research and EpidemiologyHIV/AIDS Research and Interventions

Cited by 80

Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey

Melendez, J., Philipsen, R. H. H. M., Chanda-Kapata, P., Sunkutu, V., Kapata, N., & van Ginneken, B. (2017) · The International Journal of Tuberculosis and Lung Disease

Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI

Cited by 36

Advancing new diagnostic tests for latent tuberculosis infection due to multidrug-resistant strains of Mycobacterium tuberculosis — end of the road?

Mwaba, P., Chakaya, J. M., Petersen, E., Wejse, C., Zumla, A., & Kapata, N. (2020) · International Journal of Infectious Diseases

Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis

Cited by 17