Evidence map›Paper›PMID 31864298›Full record

ArticleBMC infectious diseases2019

Comparing alternative cholera vaccination strategies in Maela refugee camp: using a transmission model in public health practice.

Joshua Havumaki, Rafael Meza, Christina R Phares, Kashmira Date, Marisa C Eisenberg

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Refugee Health During COVID-19 and Future Pandemics.Current tropical medicine reports · 2021
    Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Joshua HavumakiDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, 48109, MI, USA.
Rafael MezaDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, 48109, MI, USA.
Christina R PharesUS Centers for Disease Control and Prevention; National Center for Emerging and Zoonotic Infectious Diseases; Division of Global Migration and Quarantine and Prevention, 1600 Clifton Road, Atlanta, 30329, GA, USA.
Kashmira DateUS Centers for Disease Control and Prevention; Global Immunization Division - Center for Global Health, 1600 Clifton Road, Atlanta, 30329, GA, USA.
Marisa C EisenbergDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, 48109, MI, USA. marisae@umich.edu.
University of Michigan–Ann Arbor · USCenter for Global Health · USCenters for Disease Control and Prevention · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholera is a major public health concern in displaced-person camps, which often contend with overcrowding and scarcity of resources. Maela, the largest and longest-standing refugee camp in Thailand, located along the Thai-Burmese border, experienced four cholera outbreaks between 2005 and 2010. In 2013, a cholera vaccine campaign was implemented in the camp. To assist in the evaluation of the campaign and planning for subsequent campaigns, we developed a mathematical model of cholera in Maela.

methodsWe formulated a Susceptible-Infectious-Water-Recovered-based transmission model and estimated parameters using incidence data from 2010. We next evaluated the reduction in cases conferred by several immunization strategies, varying timing, effectiveness, and resources (i.e., vaccine availability). After the vaccine campaign, we generated case forecasts for the next year, to inform on-the-ground decision-making regarding whether a booster campaign was needed.

resultsWe found that preexposure vaccination can substantially reduce the risk of cholera even when <50% of the population is given the full two-dose series. Additionally, the preferred number of doses per person should be considered in the context of one vs. two dose effectiveness and vaccine availability. For reactive vaccination, a trade-off between timing and effectiveness was revealed, indicating that it may be beneficial to give one dose to more people rather than two doses to fewer people, given that a two-dose schedule would incur a delay in administration of the second dose. Forecasting using realistic coverage levels predicted that there was no need for a booster campaign in 2014 (consistent with our predictions, there was not a cholera epidemic in 2014).

conclusionsOur analyses suggest that vaccination in conjunction with ongoing water sanitation and hygiene efforts provides an effective strategy for controlling cholera outbreaks in refugee camps. Effective preexposure vaccination depends on timing and effectiveness. If a camp is facing an outbreak, delayed distribution of vaccines can substantially alter the effectiveness of reactive vaccination, suggesting that quick distribution of vaccines may be more important than ensuring every individual receives both vaccine doses. Overall, this analysis illustrates how mathematical models can be applied in public health practice, to assist in evaluating alternative intervention strategies and inform decision-making.

Indexed as

Models, TheoreticalRefugee CampsCholeraCholera VaccinesDisease OutbreaksHumansPublic HealthSanitationThailandVaccinationCholera VaccinesCholeraMathematical modelingRefugee campVaccination

Identifiers

PMID31864298
PMCPMC6925891
OpenAlexW2996556604

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.