Evidence map›Paper›PMID 33757949›Full record

ArticleBMJ open2021

Model-based estimation of the economic burden of cholera in Africa.

Vittal Mogasale, Samuel Mwaura Ngogoyo, Vijayalaxmi V Mogasale

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Cost of Cholera for Households and Health Facilities, Somalia.Journal of epidemiology and global health · 2024
    Article
  7. Unmasking the Neglected Cholera Outbreaks in Sub-Saharan Africa.International journal of public health · 2024
    Article
  8. Article
  9. Article
  10. Review
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

3 authors.

Vittal MogasalePolicy and Economic Research, International Vaccine Institute, Gwanak-gu, Korea vmogasale@ivi.int.ORCID http://orcid.org/0000-0003-0596-8072
Samuel Mwaura NgogoyoDepartment of Health, County government of Nyandarua, Ol Kalou, Kenya.
Vijayalaxmi V MogasaleDepartment of Pediatrics, Yenepoya Medical College Hospital, Mangalore, India.

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectivesTo estimate the economic burden of cholera in Africa. SETTINGS: Cholera affected 44 countries in Africa.

participantsThe analysis used data from public sources in Africa published until September 2019.

methodsBased on existing data from field-based cost-of-illness studies, estimated cholera incidence rates, and reported cholera cases to WHO, this research estimates the economic burden of cholera in Africa from a societal perspective with 2015 as the base year. The estimate included out-of-pocket costs, public health system costs, productivity loss related to illness and an optional productivity loss related to premature deaths valued by the human capital approach. As various input data such as cholera incidence, hospitalisation rates and the number of workdays lost were not well defined, a series of scenario analyses and uncertainty analyses, accounting for unknowns and data variability, was conducted. Similarly, the value of time lost due to illness and deaths using the human capital approach was explored through scenario analyses.

resultsIn 2015, an estimated 1 008 642 cases in 44 African countries resulted in an economic burden of US$130 million from cholera-related illness and its treatment. When the estimated 38 104 cholera deaths were included in the analysis, the economic burden increased to US$1 billion or international $2.4 billion for the same year. At the same time, when only the 71 126 cases and 937 deaths reported to the WHO are considered, the economic burden was only US$68 million for the year 2015. The estimates of economic burden are thus heavily dependent on the cholera incidence rate, how time lost due to illness and deaths are calculated, hospitalisation rates and hospitalisation costs.

conclusionThe findings can be used as an economic justification for cholera control in Africa and for generating value-for-money evidence to underpin Ending Cholera-A Global Roadmap to 2030 with considerations to study limitations.

Indexed as

CholeraAfricaCost of IllnessEfficiencyHealth Care CostsHealth ExpendituresHumanshealth economicshealth policypublic healthtropical medicine

Identifiers

PMID33757949
PMCPMC7993295

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LicenceCC BY
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Registered trials

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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.