Evidence map›Paper›PMID 36526991›Full record

ArticleBMC infectious diseases2022

Clinical and epidemiologic evaluation of a 2020 chikungunya outbreak in Cambodia.

Agus Rachmat, Gerard C Kelly, Robert D Hontz, Chonthida Supaprom, Vireak Heang, Phireak Hip, Jose A Garcia-Rivera, Satharath Prom, Chhorvann Chhea, Ian W Sutherland and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Observational
  2. Article
  3. Chikungunya outbreak in eastern Senegal, 2023.BMC infectious diseases · 2026
    Article
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  6. Article
  7. Review
  8. Article
  9. Article
  10. National dengue surveillance, Cambodia 2002-2020.Bulletin of the World Health Organization · 2023
    Article
  11. Article
  12. Article
  13. 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

12 authors at 2 institutions in 1 country.

Agus RachmatAC Investment Co, Contractor for NAMRU-2, Phnom Penh, Cambodia.
Gerard C KellyVysnova Partners, Inc., Landover, MD, USA. gkelly@vysnova.com.
Robert D HontzU.S. Naval Medical Research Unit TWO, Singapore, Singapore.
Chonthida SupapromAC Investment Co, Contractor for NAMRU-2, Phnom Penh, Cambodia.
Vireak HeangU.S. Naval Medical Research Unit TWO, Phnom Penh, Cambodia.
Phireak HipAC Investment Co, Contractor for NAMRU-2, Phnom Penh, Cambodia.
Jose A Garcia-RiveraU.S. Naval Medical Research Unit TWO, Phnom Penh, Cambodia.
Satharath PromDepartment of Health, Ministry of National Defense, Phnom Penh, Cambodia.
Chhorvann ChheaNational Institute of Public Health, Ministry of Health, Phnom Penh, Cambodia.
Ian W SutherlandU.S. Naval Medical Research Unit TWO, Phnom Penh, Cambodia.
Karen S CorsonU.S. Naval Medical Research Unit TWO, Singapore, Singapore.
Andrew G LetiziaU.S. Naval Medical Research Unit TWO, Singapore, Singapore.
Cambodia-Oxford Medical Research Unit · KHNational Institute of Public Health · KH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2020, the Kingdom of Cambodia experienced a nationwide outbreak of chikungunya virus (CHIKV). Despite an increase in the frequency of outbreaks and expanding geographic range of CHIKV, diagnostic challenges remain, and limited surveillance data of sufficient granularity are available to characterize epidemiological profiles and disease dynamics of the virus.

methodsAn ongoing and long-standing cross-sectional study of acute undifferentiated febrile illness (AUFI) in Cambodia was leveraged to describe the disease epidemiology and characterize the clinical presentation of patients diagnosed with CHIKV during the 2020 outbreak. Participants presenting with AUFI symptoms at ten study locations provided acute and convalescent blood samples and were tested for CHIKV using a reverse transcription-polymerase chain reaction (RT-PCR) and serological diagnostic methods including IgM and IgG. Acute and follow-up clinical data were also collected.

resultsFrom 1194 participant blood samples tested, 331 (27.7%) positive CHIKV cases were detected. Most CHIKV positive individuals (280, 84.6%) reported having a fever 3 to 4 days prior to visiting a health facility. Symptoms including chills, joint pain, nausea, vomiting, and lesions were all statistically significant among CHIKV positive participants compared to CHIKV negative AUFI participants. Cough was negatively associated with CHIKV positive participants. Positivity proportions were significantly higher among adults compared to children. No significant difference was found in positivity proportion between rainy and dry seasons during the outbreak. Positive CHIKV cases were detected in all study site provinces, with the highest test positivity proportion recorded in the rural northeast province of Kratie.

conclusionsSurveillance data captured in this study provided a clinical and epidemiological characterization of positive CHIKV patients presenting at selected health facilities in Cambodia in 2020, and highlighted the widespread distribution of the outbreak, impacting both urban and rural locations. Findings also illustrated the importance of utilizing both RT-PCR and serological testing for effective CHIKV surveillance.

Indexed as

Chikungunya FeverChikungunya virusAdultAntibodies, ViralCambodiaChildCross-Sectional StudiesDisease OutbreaksFeverHumansAntibodies, ViralAlphavirusCambodiaChikungunyaOutbreakSoutheast AsiaSurveillanceVector-borne disease

Identifiers

PMID36526991
PMCPMC9758031
OpenAlexW4312066274

What OpenQuestion holds

Textmetadata
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.