The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
"Herd Immunity": A Rough Guide
Abstract
The term "herd immunity" is widely used but carries a variety of meanings. Some authors use it to describe the proportion immune among individuals in a population. Others use it with reference to a particular threshold proportion of immune individuals that should lead to a decline in incidence of infection. Still others use it to refer to a pattern of immunity that should protect a population from invasion of a new infection. A common implication of the term is that the risk of infection among susceptible individuals in a population is reduced by the presence and proximity of immune individuals (this is sometimes referred to as "indirect protection" or a "herd effect"). We provide brief historical, epidemiologic, theoretical, and pragmatic public health perspectives on this concept.
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Cites
Infectious Diseases of Humans: Dynamics and Control
(1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-117-2-174_4 · Cited by 7,746
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
Mossong, J., Hens, N., Jit, M., Beutels, P., Auranen, K., Mikolajczyk, R., Massari, M., Salmaso, S., Tomba, G. S., Wallinga, J., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050074 · Cited by 2,900
Modeling Infectious Diseases in Humans and Animals
Keeling, M. J., & Rohani, P. (2011) · Princeton University Press eBooks · doi:10.2307/j.ctvcm4gk0 · Cited by 2,688
Keeling, M. J., & Eames, K. T. D. (2005) · Journal of The Royal Society Interface · doi:10.1098/rsif.2005.0051 · Cited by 1,876
Self-citationControl of Communicable Diseases Manual
(2015) · American Public Health Association eBooks · doi:10.2105/ccdm.2745 · Cited by 1,599
The Epidemiology and Control of Malaria
(1960) · Medical Journal of Australia · doi:10.5694/j.1326-5377.1960.tb105313.x · Cited by 1,255
Colizza, V., Barrat, A., Barthélemy, M., & Vespignani, A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510525103 · Cited by 1,155
Herd Immunity: History, Theory, Practice
Fine, P. E. M. (1993) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036121 · Cited by 905
Self-citationThe Japanese Experience with Vaccinating Schoolchildren against Influenza
Reichert, T. A., Sugaya, N., Fedson, D. S., Glezen, W. P., Simonsen, L., & Tashiro, M. (2001) · New England Journal of Medicine · doi:10.1056/nejm200103223441204 · Cited by 861
Vaccination and the theory of games
Bauch, C. T., & Earn, D. J. D. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403823101 · Cited by 844
Cited by
Haas, E. J., Angulo, F. J., McLaughlin, J. M., Anis, E., Singer, S. R., Khan, F., Brooks, N., Smaja, M., Mircus, G., Pan, K., et al. (2021) · The Lancet · doi:10.1016/s0140-6736(21)00947-8 · Cited by 1,564
Functional Fear Predicts Public Health Compliance in the COVID-19 Pandemic
Harper, C. A., Satchell, L. P., Fido, D., & Latzman, R. D. (2021) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00281-5 · Cited by 1,564
Vaccine hesitancy, vaccine refusal and the anti-vaccine movement: influence, impact and implications
Dubé, E., Vivion, M., & MacDonald, N. E. (2015) · Expert Review of Vaccines · doi:10.1586/14760584.2015.964212 · Cited by 986
Modeling COVID-19 scenarios for the United States
IHME COVID-19 Forecasting Team, Reiner, R. C., Barber, R. M., Collins, J. K., Zheng, P., Adolph, C., Albright, J., Antony, C. M., Aravkin, A. Y., Bachmeier, S. D., et al. (2021) · Nature Medicine · doi:10.1038/s41591-020-1132-9 · Cited by 556
Buss, L. F., Prete, C. A., Abrahim, C. M. M., Mendrone, A., Salomon, T., de Almeida-Neto, C., França, R. F. O., Belotti, M. C., Carvalho, M. P. S. S., Costa, A. G., et al. (2021) · Science · doi:10.1126/science.abe9728 · Cited by 488
Metadata
- Authors
- Fine, P., Eames, K., & Heymann, D. L.
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-03-22
- Volume
- 52
- Issue
- 7
- Pages
- 911-916
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- OpenAlex
- W2130878567
- Cited by
- 1,247
- References
- 29
- FWCI
- 17.35
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
