Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 441

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Global prevalence, cascade of care, and prophylaxis coverage of hepatitis B in 2022: a modelling study

Open access
Razavi-Shearer, Devin, Gamkrelidze, Ivane, Pan, Calvin, Jia, Jidong, Berg, Thomas, Gray, Richard, Lim, Young-Suk, Chen, Chien-Jen, Ocama, Ponsiano, Desalegn, Hailemichael, Abbas, Zaigham, Abdallah, Ayat, Aghemo, Alessio, Ahmadbekova, Sabohat, Ahn, Sang Hoon, Aho, Inka, Akarca, Ulus, Al Masri, Nasser, Alalwan, Abduljaleel, Alavian, Seyed, Al-Busafi, Said, Aleman, Soo, Alfaleh, Faleh, Alghamdi, Abdullah, Al-Hamoudi, Waleed, Aljumah, Abdulrahman, Al-Naamani, Khalid, Al-Rifai, Ahmad, Alserkal, Yousif, Altraif, Ibrahim, Amarsanaa, Jazag, Anderson, Motswedi, Andersson, Monique, Armstrong, Paige, Asselah, Tarik, Athanasakis, Kostas, Baatarkhuu, Oidov, Ben-Ari, Ziv, Bensalem, Aicha, Bessone, Fernando, Biondi, Mia, Bizri, Abdul Rahman, Blach, Sarah, Braga, Wornei, Brandão-Mello, Carlos, Brosgart, Carol, Brown, Kimberly, Brown, Jr, Robert, Bruggmann, Philip, Brunetto, Maurizia, Buti, Maria, Cabezas, Joaquin, Casanovas, Teresa, Chae, Chungman, Chan, Henry Lik Yuen, Cheinquer, Hugo, Chen, Pei-Jer, Cheng, Kent Jason, Cheon, Myeong-Eun, Chien, Cheng-Hung, Choudhuri, Gourdas, Christensen, Peer Brehm, Chuang, Wan-Long, Chulanov, Vladimir, Cisneros, Laura, Coffin, Carla, Contreras, Fernando, Coppola, Nicola, Cornberg, Markus, Cowie, Benjamin, Cramp, Matthew, Craxi, Antonio, Crespo, Javier, Cui, Fuqiang, Cunningham, Chris, Dalgard, Olav, De Knegt, Robert, De Ledinghen, Victor, Dore, Gregory, Drazilova, Sylvia, Duberg, Ann-Sofi, Egeonu, Steve, Elbadri, Mohammed, El-Kassas, Mohamed, El-Sayed, Manal, Estes, Chris, Etzion, Ohad, Farag, Elmobashar, Ferradini, Laurent, Ferreira, Paulo, Flisiak, Robert, Forns, Xavier, Frankova, Sona, Fung, James, Gane, Edward, Garcia, Virginia, García-Samaniego, Javier, Gemilyan, Manik, Genov, Jordan, Gheorghe, Liliana, Gholam, Pierre, Gish, Robert, Goleij, Pouya, Gottfredsson, Magnus, Grebely, Jason, Gschwantler, Michael, Guingane, Nanelin Alice, Hajarizadeh, Behzad, Hamid, Saeed, Hamoudi, Waseem, Harris, Aaron, Hasan, Irsan, Hatzakis, Angelos, Hellard, Margaret, Hercun, Julian, Hernandez, Javier, Hockicková, Ivana, Hsu, Yao-Chun, Hu, Ching-Chih, Husa, Petr, Janicko, Martin, Janjua, Naveed, Jarcuska, Peter, Jaroszewicz, Jerzy, Jelev, Deian, Jeruma, Agita, Johannessen, Asgeir, Kåberg, Martin, Kaita, Kelly, Kaliaskarova, Kulpash, Kao, Jia-Horng, Kelly-Hanku, Angela, Khamis, Faryal, Khan, Aamir, Kheir, Omer, Khoudri, Ibtissam, Kondili, Loreta, Konysbekova, Aliya, Kristian, Pavol, Kwon, Jisoo, Lagging, Martin, Laleman, Wim, Lampertico, Pietro, Lavanchy, Daniel, Lázaro, Pablo, Lazarus, Jeffrey V, Lee, Alice, Lee, Mei-Hsuan, Liakina, Valentina, Lukšić, Boris, Malekzadeh, Reza, Malu, Abraham, Marinho, Rui, Mendes-Correa, Maria Cássia, Merat, Shahin, Meshesha, Berhane Redae, Midgard, Håvard, Mohamed, Rosmawati, Mokhbat, Jacques, Mooneyhan, Ellen, Moreno, Christophe, Mortgat, Laure, Müllhaupt, Beat, Musabaev, Erkin, Muyldermans, Gaëtan, Naveira, Marcelo, Negro, Francesco, Nersesov, Alexander, Nguyen, Van Thi Thuy, Ning, Qing, Njouom, Richard, Ntagirabiri, Rénovat, Nurmatov, Zuridin, Oguche, Stephen, Omuemu, Casimir, Ong, Janus, Opare-Sem, Ohene, Örmeci, Necati, Orrego, Mauricio, Osiowy, Carla, Papatheodoridis, George, Peck-Radosavljevic, Markus, Pessoa, Mário, Pham, Trang, Phillips, Richard, Pimenov, Nikolay, Pincay-Rodríguez, Loreley, Plaseska-Karanfilska, Dijana, Pop, Cora, Poustchi, Hossein, Prabdial-Sing, Nishi, Qureshi, Huma, Ramji, Alnoor, Rautiainen, Henna, Razavi-Shearer, Kathryn, Remak, William, Ribeiro, Sofia, Ridruejo, Ezequiel, Ríos-Hincapié, Cielo, Robalino, Marcia, Roberts, Lewis, Roberts, Stuart, Rodríguez, Manuel, Roulot, Dominique, Rwegasha, John, Ryder, Stephen, Sadirova, Shakhlo, Saeed, Umar, Safadi, Rifaat, Sagalova, Olga, Said, Sanaa, Salupere, Riina, Sanai, Faisal, Sanchez-Avila, Juan F, Saraswat, Vivek, Sargsyants, Narina, Sarrazin, Christoph, Sarybayeva, Gulya, Schréter, Ivan, Seguin-Devaux, Carole, Seto, Wai-Kay, Shah, Samir, Sharara, Ala, Sheikh, Mahdi, Shouval, Daniel, Sievert, William, Simojoki, Kaarlo, Simonova, Marieta, Sinn, Dong Hyun, Sonderup, Mark, Sonneveld, Milan, Spearman, C Wendy, Sperl, Jan, Stauber, Rudolf, Stedman, Catherine, Sypsa, Vana, Tacke, Frank, Tan, Soek-Siam, Tanaka, Junko, Tergast, Tammo, Terrault, Norah, Thompson, Alexander, Thompson, Peyton, Tolmane, Ieva, Tomasiewicz, Krzysztof, Tsang, Tak-Yin, Uzochukwu, Benjamin, Van Welzen, Berend, Vanwolleghem, Thomas, Vince, Adriana, Voeller, Alexis, Waheed, Yasir, Waked, Imam, Wallace, Jack, Wang, Cong, Weis, Nina, Wong, Grace, Wong, Vincent, Wu, Jaw-Ching, Yaghi, Cesar, Yesmembetov, Kakharman, Yip, Terry, Yosry, Ayman, Yu, Ming-Lung, Yuen, Man-Fung, Yurdaydin, Cihan, Zeuzem, Stefan, Zuckerman, Eli, Razavi, Homie·2023·The Lancet Gastroenterology & Hepatology

Abstract

BACKGROUND The 2016 World Health Assembly endorsed the elimination of hepatitis B virus (HBV) infection as a public health threat by 2030; existing therapies and prophylaxis measures make such elimination feasible, even in the absence of a virological cure. We aimed to estimate the national, regional, and global prevalence of HBV in the general population and among children aged 5 years and younger, as well as the rates of diagnosis, treatment, prophylaxis, and the future burden globally. METHODS In this modelling study, we used a Delphi process with data from literature reviews and interviews with country experts to quantify the prevalence, diagnosis, treatment, and prevention measures for HBV infection. The PRoGReSs Model, a dynamic Markov model, was used to estimate the country, regional, and global prevalence of HBV infection in 2022, and the effects of treatment and prevention on disease burden. The future incidence of morbidity and mortality in the absence of additional interventions was also estimated at the global level. FINDINGS We developed models for 170 countries which resulted in an estimated global prevalence of HBV infection in 2022 of 3·2% (95% uncertainty interval 2·7-4·0), corresponding to 257·5 million (216·6-316·4) individuals positive for HBsAg. Of these individuals, 36·0 million were diagnosed, and only 6·8 million of the estimated 83·3 million eligible for treatment were on treatment. The prevalence among children aged 5 years or younger was estimated to be 0·7% (0·6-1·0), corresponding to 5·6 million (4·5-7·8) children with HBV infection. Based on the most recent data, 85% of infants received three-dose HBV vaccination before 1 year of age, 46% had received a timely birth dose of vaccine, and 14% received hepatitis B immunoglobulin along with the full vaccination regimen. 3% of mothers with a high HBV viral load received antiviral treatment to reduce mother-to-child transmission. INTERPRETATION As 2030 approaches, the elimination targets remain out of reach for many countries under the current frameworks. Although prevention measures have had the most success, there is a need to increase these efforts and to increase diagnosis and treatment to work towards the elimination goals. FUNDING John C Martin Foundation, Gilead Sciences, and EndHep2030.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s2468-1253(23)00197-8

Cites

30 of 30 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 30 references

Cited by

See all 441

Metadata

Authors
Razavi-Shearer, D., Gamkrelidze, I., Pan, C., Jia, J., Berg, T., Gray, R., Lim, Y.-S., Chen, C.-J., Ocama, P., Desalegn, H., Abbas, Z., Abdallah, A., Aghemo, A., Ahmadbekova, S., Ahn, S. H., Aho, I., Akarca, U., Al Masri, N., Alalwan, A., Alavian, S., Al-Busafi, S., Aleman, S., Alfaleh, F., Alghamdi, A., Al-Hamoudi, W., Aljumah, A., Al-Naamani, K., Al-Rifai, A., Alserkal, Y., Altraif, I., Amarsanaa, J., Anderson, M., Andersson, M., Armstrong, P., Asselah, T., Athanasakis, K., Baatarkhuu, O., Ben-Ari, Z., Bensalem, A., Bessone, F., Biondi, M., Bizri, A. R., Blach, S., Braga, W., Brandão-Mello, C., Brosgart, C., Brown, K., Brown, Jr., Bruggmann, P., Brunetto, M., Buti, M., Cabezas, J., Casanovas, T., Chae, C., Chan, H. L. Y., Cheinquer, H., Chen, P.-J., Cheng, K. J., Cheon, M.-E., Chien, C.-H., Choudhuri, G., Christensen, P. B., Chuang, W.-L., Chulanov, V., Cisneros, L., Coffin, C., Contreras, F., Coppola, N., Cornberg, M., Cowie, B., Cramp, M., Craxi, A., Crespo, J., Cui, F., Cunningham, C., Dalgard, O., De Knegt, R., De Ledinghen, V., Dore, G., Drazilova, S., Duberg, A.-S., Egeonu, S., Elbadri, M., El-Kassas, M., El-Sayed, M., Estes, C., Etzion, O., Farag, E., Ferradini, L., Ferreira, P., Flisiak, R., Forns, X., Frankova, S., Fung, J., Gane, E., Garcia, V., García-Samaniego, J., Gemilyan, M., Genov, J., Gheorghe, L., Gholam, P., Gish, R., Goleij, P., Gottfredsson, M., Grebely, J., Gschwantler, M., Guingane, N. A., Hajarizadeh, B., Hamid, S., Hamoudi, W., Harris, A., Hasan, I., Hatzakis, A., Hellard, M., Hercun, J., Hernandez, J., Hockicková, I., Hsu, Y.-C., Hu, C.-C., Husa, P., Janicko, M., Janjua, N., Jarcuska, P., Jaroszewicz, J., Jelev, D., Jeruma, A., Johannessen, A., Kåberg, M., Kaita, K., Kaliaskarova, K., Kao, J.-H., Kelly-Hanku, A., Khamis, F., Khan, A., Kheir, O., Khoudri, I., Kondili, L., Konysbekova, A., Kristian, P., Kwon, J., Lagging, M., Laleman, W., Lampertico, P., Lavanchy, D., Lázaro, P., Lazarus, J. V., Lee, A., Lee, M.-H., Liakina, V., Lukšić, B., Malekzadeh, R., Malu, A., Marinho, R., Mendes-Correa, M. C., Merat, S., Meshesha, B. R., Midgard, H., Mohamed, R., Mokhbat, J., Mooneyhan, E., Moreno, C., Mortgat, L., Müllhaupt, B., Musabaev, E., Muyldermans, G., Naveira, M., Negro, F., Nersesov, A., Nguyen, V. T. T., Ning, Q., Njouom, R., Ntagirabiri, R., Nurmatov, Z., Oguche, S., Omuemu, C., Ong, J., Opare-Sem, O., Örmeci, N., Orrego, M., Osiowy, C., Papatheodoridis, G., Peck-Radosavljevic, M., Pessoa, M., Pham, T., Phillips, R., Pimenov, N., Pincay-Rodríguez, L., Plaseska-Karanfilska, D., Pop, C., Poustchi, H., Prabdial-Sing, N., Qureshi, H., Ramji, A., Rautiainen, H., Razavi-Shearer, K., Remak, W., Ribeiro, S., Ridruejo, E., Ríos-Hincapié, C., Robalino, M., Roberts, L., Roberts, S., Rodríguez, M., Roulot, D., Rwegasha, J., Ryder, S., Sadirova, S., Saeed, U., Safadi, R., Sagalova, O., Said, S., Salupere, R., Sanai, F., Sanchez-Avila, J. F., Saraswat, V., Sargsyants, N., Sarrazin, C., Sarybayeva, G., Schréter, I., Seguin-Devaux, C., Seto, W.-K., Shah, S., Sharara, A., Sheikh, M., Shouval, D., Sievert, W., Simojoki, K., Simonova, M., Sinn, D. H., Sonderup, M., Sonneveld, M., Spearman, C. W., Sperl, J., Stauber, R., Stedman, C., Sypsa, V., Tacke, F., Tan, S.-S., Tanaka, J., Tergast, T., Terrault, N., Thompson, A., Thompson, P., Tolmane, I., Tomasiewicz, K., Tsang, T.-Y., Uzochukwu, B., Van Welzen, B., Vanwolleghem, T., Vince, A., Voeller, A., Waheed, Y., Waked, I., Wallace, J., Wang, C., Weis, N., Wong, G., Wong, V., Wu, J.-C., Yaghi, C., Yesmembetov, K., Yip, T., Yosry, A., Yu, M.-L., Yuen, M.-F., Yurdaydin, C., Zeuzem, S., Zuckerman, E., & Razavi, H.
Venue
The Lancet Gastroenterology & Hepatology
Publisher
Elsevier BV
Published
2023-10
Volume
8
Issue
10
Pages
879-907
ISSN
  • 2468-1156 (ISSN-L)
  • 2468-1253
OpenAlex
W4385297223
Cited by
441
References
30
FWCI
73.59
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Global prevalence, cascade of care, and prophylaxis coverage of hepatitis B in 2022: a modelling study. https://app.cochat.ai/papers/10.1016/s2468-1253(23)00197-8
The paper
Razavi-Shearer, D., Gamkrelidze, I., Pan, C., Jia, J., Berg, T., Gray, R., Lim, Y.-S., Chen, C.-J., Ocama, P., Desalegn, H., Abbas, Z., Abdallah, A., Aghemo, A., Ahmadbekova, S., Ahn, S. H., Aho, I., Akarca, U., Al Masri, N., Alalwan, A., . . . Razavi, H. (2023). Global prevalence, cascade of care, and prophylaxis coverage of hepatitis B in 2022: a modelling study. The Lancet Gastroenterology & Hepatology. https://doi.org/10.1016/s2468-1253(23)00197-8

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.