Evidence map›Paper›PMID 33253181›Full record

ArticlePLoS neglected tropical diseases2020

The economic burden of dengue fever in the Kingdom of Saudi Arabia.

Naeema A Akbar, Abdullah M Assiri, Omima I Shabouni, Osama M Alwafi, Rajaa Al-Raddadi, Mohamad H Alzahrani, Esam I Azhar, Ashraf Amir, Abdullah M Aljiffri, Abdulhakeem O Althaqafi

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
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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

10 authors at 5 institutions in 1 country.

Naeema A AkbarPreventive medicine, Public Health MOH, Jeddah, Saudi Arabia.ORCID 0000-0002-4812-9802
Abdullah M AssiriPreventive medicine, Public Health MOH, Riyadh, Saudi Arabia.ORCID 0000-0002-5605-2876
Omima I ShabouniPreventive medicine, Public Health MOH, Jeddah, Saudi Arabia.
Osama M AlwafiPreventive medicine department, Public Health MOH, Makkah, Saudi Arabia.ORCID 0000-0002-8998-168X
Rajaa Al-RaddadiKing Abdulaziz University, Faculty of Medicine, Jeddah, Saudi Arabia.ORCID 0000-0002-8921-9628
Mohamad H AlzahraniPreventive medicine, Public Health MOH, Riyadh, Saudi Arabia.
Esam I AzharSpecial Infectious Agents Unit, King Fahd Medical Research Center & Medical Laboratory Technology Department, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0002-1736-181X
Ashraf AmirChief Medical Officer, International Medical center, Jeddah, Saudi Arabia.
Abdullah M AljiffriInfection Control Consultant, King Fahd Armed Forces Hospital, Jeddah, Saudi Arabia.
Abdulhakeem O AlthaqafiDepartment of medicine, King Abdulaziz Medical city- Jeddah, King Saud bin Abdulaziz university for Health Sciences, King Abdullah Medical center, Saudi Arabia.
King Abdulaziz University · SAMinistry of Health · SAKing Abdullah International Medical Research Center · SAKing Fahd Armed Forces Hospital · SAKing Saud bin Abdulaziz University for Health Sciences · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid urbanization, global trade, and the exceptionally great numbers of worldwide visitors during Hajj and Umrah have all placed the Kingdom of Saudi Arabia at a significant risk of introducing several vector-borne tropical diseases, such as dengue fever virus (DENV) infection. In this study we estimated DENV infection cost of illness (COI) in Saudi Arabia in the period 2013-2017, by processing national data including all declared cases recorded in referral centers in the western region, being the endemic region of the country. Using a statistically validated predictive model that was built on a representative sample of 717 laboratory-confirmed cases of DENV infection, direct costs, due to care-related expenditures, were estimated by applying the predictive equation to national data. However, indirect costs, which are due to productivity loss, were estimated using the human capital model based on gross domestic product adjusted for invalidity duration. Further, under-reporting was adjusted by using an expansion factor EF = 3. We observed highest estimated costs in 2016 with over US$168.5 Million total costs, including direct (US$29.0 Million) and indirect (US$139.5 Million) costs, for a total 4415 confirmed cases. The total DENV COI for the five years was estimated as US$551.0 Million for a total 15,369 patients (59.7%) out of 25,745 declared cases, resulting in an average cost of US$11 947.6 by patient. Depending on the year, productivity years loss costs accounted for 63.3% to 83.8% of the estimated total costs. Dengue has a substantial local economic burden that costs US$110.2 Million per year, stressing the urgent need for an effective national prevention strategy to perform considerable cost-savings besides reducing morbidity.

Indexed as

Cost of IllnessAdolescentAdultChildChild, PreschoolDengueDengue VirusFemaleHealth Care CostsHumansInfantMaleMiddle AgedSaudi Arabia

Identifiers

PMID33253181
PMCPMC7728199
OpenAlexW3108268338

What OpenQuestion holds

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LicenceCC BY
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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.