| Literature DB >> 26482396 |
Cordelia E M Coltart1, Anne M Johnson2, Christopher J M Whitty3.
Abstract
Ebola causes severe illness in humans and has epidemic potential. How to deploy vaccines most effectively is a central policy question since different strategies have implications for ideal vaccine profile. More than one vaccine may be needed. A vaccine optimised for prophylactic vaccination in high-risk areas but when the virus is not actively circulating should be safe, well tolerated, and provide long-lasting protection; a two- or three-dose strategy would be realistic. Conversely, a reactive vaccine deployed in an outbreak context for ring-vaccination strategies should have rapid onset of protection with one dose, but longevity of protection is less important. In initial cases, before an outbreak is recognised, healthcare workers (HCWs) are at particular risk of acquiring and transmitting infection, thus potentially augmenting early epidemics. We hypothesise that many early outbreak cases could be averted, or epidemics aborted, by prophylactic vaccination of HCWs. This paper explores the potential impact of prophylactic versus reactive vaccination strategies of HCWs in preventing early epidemic transmissions. To do this, we use the limited data available from Ebola epidemics (current and historic) to reconstruct transmission trees and illustrate the theoretical impact of these vaccination strategies. Our data suggest a substantial potential benefit of prophylactic versus reactive vaccination of HCWs in preventing early transmissions. We estimate that prophylactic vaccination with a coverage >99% and theoretical 100% efficacy could avert nearly two-thirds of cases studied; 75% coverage would still confer clear benefit (40% cases averted), but reactive vaccination would be of less value in the early epidemic. A prophylactic vaccination campaign for front-line HCWs is not a trivial undertaking; whether to prioritise long-lasting vaccines and provide prophylaxis to HCWs is a live policy question. Prophylactic vaccination is likely to have a greater impact on the mitigation of future epidemics than reactive strategies and, in some cases, might prevent them. However, in a confirmed outbreak, reactive vaccination would be an essential humanitarian priority. The value of HCW Ebola vaccination is often only seen in terms of personal protection of the HCW workforce. A prophylactic vaccination strategy is likely to bring substantial additional benefit by preventing early transmission and might abort some epidemics. This has implications both for policy and for the optimum product profile for vaccines currently in development.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26482396 PMCID: PMC4612417 DOI: 10.1186/s12916-015-0477-2
Source DB: PubMed Journal: BMC Med ISSN: 1741-7015 Impact factor: 8.775
Chronology of Ebola Zaire strain outbreaks [1, 4]
| Country | Outbreak location | Year | Number of cases | Number of deaths |
|---|---|---|---|---|
| Democratic Republic of Congo (DRC) | Yambuku | 1976 | 318 | 280 |
| DRC | Tandala | 1997 | 1 | 1 |
| Gabon | Mekouka | 1994 | 52 | 31 |
| DRC | Kikwit | 1995 | 315 | 254 |
| Gabon | Mayibout | 1996 | 37 | 21 |
| Gabon | Booue | 1996 | 60 | 45 |
| Gabon | Mekambo | 2001–02 | 65 | 53 |
| Republic of the Congo (RC) | Mbomo Kelle | 2001–02 | 57 | 43 |
| RC | Kelle | 2003 | 143 | 128 |
| RC | Mbandza Mbomo | 2003 | 35 | 29 |
| RC | Etoumbi | 2005 | 12 | 10 |
| DRC | Luebo | 2007 | 264 | 187 |
| DRC | Mweka and Luebo | 2008–09 | 32 | 15 |
| DRC | Jeera | 2014 | 66 | 49 |
| Multiple countries [ | West Africa | 2014–15 | 28,183 | 11,306 |
Methods and search strategy for review and transmission tree reconstruction
| Methods | |
|---|---|
| Search strategy | A compound search strategy was developed to identify all relevant open-source articles regardless of publication status. The initial search was undertaken via PubMed using the search terms outlined below. Further information was obtained by reviewing article bibliographies for relevant citations and a Google search to find open-source published articles, press articles, and other grey literature including outbreak updates, WHO roadmaps, WHO situation reports, and Morbidity and Mortality Weekly Reports from the Centres for Disease Control. |
| The purpose of the review is to outline potential policy implications for vaccine development, as opposed to defining detailed epidemic trees. | |
| Search terms used | Key words: Ebola, Ebola haemorrhagic fever, Ebolavirus, Ebola virus disease, transmission, transmission trees, epidemic, epidemic trees. |
| (("hemorrhagic fever, Ebola"[MeSH Terms] OR ("hemorrhagic"[All Fields] AND "fever"[All Fields] AND "Ebola"[All Fields]) OR "Ebola hemorrhagic fever"[All Fields] OR "Ebola"[All Fields] OR "Ebolavirus"[MeSH Terms] OR "Ebolavirus"[All Fields]) OR ("hemorrhagic fever, Ebola"[MeSH Terms] OR ("hemorrhagic"[All Fields] AND "fever"[All Fields] AND "Ebola"[All Fields]) OR "Ebola hemorrhagic fever"[All Fields] OR ("Ebola"[All Fields] AND "virus"[All Fields] AND "disease"[All Fields]) OR "Ebola virus disease"[All Fields])) AND ((("transmission"[Subheading] OR "transmission"[All Fields]) AND ("trees"[MeSH Terms] OR "trees"[All Fields] OR "tree"[All Fields])) OR (("epidemics"[MeSH Terms] OR "epidemics"[All Fields] OR "epidemic"[All Fields]) AND ("trees"[MeSH Terms] OR "trees"[All Fields] OR "tree"[All Fields]))) | |
| Inclusion criteria | Studies and articles were eligible for inclusion if they reported human-to-human transmission chains and initial transmission chains from the primary or index case within each outbreak or country in multi-location epidemics. Details of occupational exposure of individuals in the transmission trees were also included where possible. There were no restrictions with regards to date of publication. The aim was to identify as many early epidemic trees as possible, and to include all which could be reliably identified as including HCW status to minimise bias. |
| Data extraction | Data extraction was first undertaken using peer-reviewed literature. These data were supplemented by grey literature and press articles to add further information and fill in the gaps for the epidemic tree construction. |
| Approximate numbers have been used where precise numbers were not available, but in all cases conservative assumptions have been made to avoid overestimation of any effects identified. | |
| Data analysis | Initial analyses of the different vaccination strategies were undertaken in Microsoft Excel (2010). Using the initial transmission trees constructed, the number of cases that developed the disease and the number of cases averted were calculated for each vaccination strategy. All results are given as a percentage of averted cases by the total number of cases. The results are given per vaccination strategy and epidemic location. |
Fig. 1PRISMA Flow Diagram
Fig. 2An example of epidemic transmission trees and the impact of four different vaccination strategies on the transmission chains. Guinea 2014 outbreak [22]
Fig. 3An example of epidemic transmission trees and the impact of four different vaccination strategies on the transmission chains. Nigeria 2014 epidemic [23]
Indicative proportion of early outbreak prevented by implementing different vaccination strategies: prospective versus reactive vaccination of healthcare workers
| Percentage of initial outbreak prevented by vaccination strategy | |||||||
|---|---|---|---|---|---|---|---|
| Epidemic | Country | Total number of cases [ | Total number of deaths [ | Cases included in epidemic tree | Strategy 1: Vaccinate prophylactically (100 % coverage) | Strategy 2: Vaccinate prophylactically approx. 75 % of HCWs | Strategy 3: Vaccinate reactively (lag-time 42 days) |
| 2014 West Africa | Guinea [ | 3,792 | 2,530 | 71 | 61 % (43/71) | 36.6 % (26/71) | 0 |
| Liberia [ | 10,672 | 4,808 | 9 | 67 % (6/9) | 11 % (1/9) | 0 | |
| Sierra Leone [ | 13,683 | 3,953 | NR | NR | NR | 0 | |
| Nigeria [ | 20 | 8 | 20 | 80 % (16/20) | 50 %(10/20) | 0 | |
| Mali [ | 8 | 6 | 8 | 38 % (3/8) | 13 % (1/8) | 0 | |
| USA [ | 4 | 1 | 4 | 75 % (3/4) | 50 % (2/4) | 0 | |
| UK [ | 2 | 0 | 2 | 100 % (2/2) | 50 % (1/2) | 0 | |
| Senegal [ | 1 | 0 | 1 | 0 | 0 | 0 | |
| Overall | 28,183 | 11,306 | 115 | 63.5 % (73/115) | 35.7 % (41/115) | ||
| (95 % confidence interval) | (0.54–0.72) | (0.27–0.45) | |||||
| Historic outbreaks | Kikwit [ | 315 | 250 | 9 | 100 % (9/9) | NR | NR |
| Mosango [ | 23 | 18 | 23 | 100 % (23/23) | 74 % (17/23) | NR | |
| Yambuku [ | 318 | 280 | 45 | 44 % (20/45) | NR | NR | |
| Total | 192 | 65.1 % (125/192) | 42.0 % (58/138) | 0.0 % (0/609) | |||
| (95 % confidence interval) | (0.58–0.72) | (0.34–0.51) | |||||
Cases numbers accurate as of 06/09/2015
NR, Not reported