ABSTRACT

Mosquito-borne viruses represent a large global health burden. With geographic expansion of competent vectors for chikungunya virus (CHIKV), dengue virus (DENV), and Zika virus (ZIKV) in Europe, it is anticipated that the number of autochthonous cases of these tropical viruses in Europe will increase. Therefore, regular assessment of diagnostic capabilities in Europe is important. Our aim was to evaluate the mosquito-borne virus molecular detection capability of expert European laboratories by conducting an external quality assessment in October 2023. Molecular panels included 12 plasma samples: one alphavirus (CHIKV), four orthoflaviviruses (ZIKV, yellow fever virus [YFV], DENV, and Japanese encephalitis virus [JEV]), and two negative control samples. Mosquito-borne virus detection was assessed among 36 laboratories in 24 European countries. Adequate capabilities were lacking for YFV and JEV. Many laboratories relied on a mix of laboratory-developed tests (some of which were pan-orthoflavivirus or pan-alphavirus in combination with sequencing) and commercial assays. 47.2% of laboratories characterized all external quality assessment (EQA) samples correctly. Correct result rates were 100% for CHIKV and ZIKV and >99% for DENV, but laboratories lacked capacity, specificity, and sensitivity for JEV and YFV. Three of the viruses in this panel emerged and transiently circulated in Europe: CHIKV, ZIKV, and DENV. Molecular detection was excellent for those viruses, but <50% is accurate for the remainder of the panel. With the possibility or continuation of imported cases and a growing global concern about climate change and vector expansion, progress toward rapid, accurate mosquito-borne virus diagnostics in Europe is recommended, as well as regular EQAs to monitor it.

IMPORTANCE

The external quality assessment (EQA) focused on Aedes-borne viruses: chikungunya virus (CHIKV), dengue virus (DENV), Zika virus (ZIKV), and yellow fever virus (YFV). Japanese encephalitis virus, an orthoflavivirus that is spread by mosquito species belonging to the genus Culex, was included in the quality assessment as well. CHIKV, DENV, and ZIKV have proven potential for transient and limited circulation in Europe upon introduction of viremic travelers returning to Aedes albopictus-endemic regions. Results of this EQA were excellent for those viruses, but <50% is accurate for the remainder of the panel (YFV and Japanese encephalitis virus). Considering imported cases and the threat of climate change and competent vector expansion, progress toward rapid, accurate mosquito-borne virus diagnostics in Europe is recommended.

INTRODUCTION

Arthropod-borne viruses exert an increasing pressure on health globally (17). The World Health Organization (WHO) estimates the yearly global burden for dengue virus (DENV) at 96 million clinical cases including 400,000 deaths while four billion people are at risk for infection around the world (8). It has been predicted that an additional 2.25 billion people (range 1.27–2.8) will be at risk for infection by 2080 (4).
In the past few decades, viruses transmitted by the mosquito species Aedes albopictus and Aedes aegypti have increasingly spread across the world causing significant outbreaks in naïve populations (9, 10). Such propensity for dissemination of Aedes-borne viruses was exemplified in 2013–2014 when chikungunya virus (CHIKV) and in 2015–2016 when Zika virus (ZIKV) entered and spread in the Americas (11, 12). Currently (2023–2024), a global upsurge in DENV infections with >5 million cases including ~5000 deaths across the world is being reported to WHO, including reports from the European region (13) .
Local transmission of originally (sub)tropical viruses like CHIKV, DENV, and ZIKV has been reported in Europe since 2007 from areas with established Ae. albopictus populations (14). Local transmission of DENV has been reported from Croatia, France, Italy, Portugal, and Spain, with two cases of dengue related to travel within Europe reported in 2020 (the Netherlands ex-France) (1520). In 2023, a record number of 130 autochthonous DENV cases were reported to the European Centre for Disease Prevention and Control (ECDC), with cases as far north as Paris, France (16). Local transmission of CHIKV has been reported from France and Italy with outbreaks of hundreds of cases in Italy in 2007 and 2017 while a few local mosquito-borne ZIKV cases were reported by France in 2019 (2124). While these three viruses have no established endemic transmission cycle in Europe, the risk of transient local transmission is directly linked to the risk of virus importation through viremic travelers returning from Ae. albopictus- and Ae. aegypti-infested areas (14, 25). With the increasing health burden of Aedes-borne virus circulation worldwide (6, 7), the risk for virus importation through returning travelers increases as well (2629). It is predicted that ongoing climate change will make Northern European regions increasingly suitable for Ae. albopictus establishment, which parallels an expansion of at-risk areas for autochthonous transmission of human-to-human transmissible viruses vectored by this mosquito species (30). Ae. albopictus and Ae. aegypti are considered invasive mosquito species, and introductions (but no establishment yet) have been described as far north as Sweden for Ae. albopictus and the Netherlands for Ae. aegypti (14, 25).
Besides these three viruses, other Aedes-borne viruses with a potential significant health burden, like yellow fever virus (YFV), are sporadically introduced in Europe through returning travelers (29, 31, 32). While YFV epidemics elsewhere in the world can be linked to an increase of imported cases to Europe, these introductions have not yet resulted in autochthonous transmission in Ae. albopictus- or Ae. Aegypti-endemic areas.
Therefore, it is no wonder that Aedes-borne viruses that threaten human health are increasingly the focus of (inter) national preparedness, readiness, and response activities (33, 34). One of the main components of outbreak and pandemic preparedness and control is the ability to diagnose infections timely and accurately (3537). For this and for the purpose of reliable surveillance for EU-notifiable arboviral diseases, laboratory functions in European Union and European Economic Area (EU/EEA) countries need an adequate capacity and capability to detect. Therefore, there is a need for periodic assessment of the capability of laboratories for detection of emerging arboviruses that represent a public health threat. To strengthen the molecular diagnostic capability in the EU/EEA and EU-enlargement countries for emerging arboviruses, an external quality assessment (EQA) through proficiency testing was performed among members of the ECDC-funded Emerging Viral Diseases Expert Laboratory Network (EVD-LabNet).
The EQA focused mainly on Aedes-borne viruses, i.e., CHIKV (alphavirus), DENV, ZIKV, and YFV (orthoflaviviruses). Also, Japanese encephalitis virus (JEV), an orthoflavivirus that is spread by mosquito species belonging to the genus Culex, was included in the EQA panel. Epidemic rise of JEV in regions with visitors returning to Europe or the return to Europe after extensive visits to rural areas with endemic viral presence incidentally gives rise to imported cases (38, 39). Although these cases are not expected to lead to local transmission as humans are dead-end hosts for JEV, JEV was included in the proficiency panel to assess orthoflavivirus test specificity and to improve JEV diagnostic capacity for health care and surveillance purposes. Here, we report the results of this EQA.

MATERIALS AND METHODS

Participants

In October 2023, 65 laboratories of EVD-LabNet were invited to register for this EQA or to forward the invitation to competent laboratories in their respective country.

Panel composition

The EQA panels were designed for molecular detection of CHIKV, DENV, ZIKV, YFV, and JEV using clinically relevant RNA loads and consisted of 12 lyophilized, individually coded samples: 10 plasma samples spiked with one of nine alphavirus or orthoflavivirus species and two RNA-negative plasma samples. Each panel included two CHIKV RNA-positive samples (ESCA and Asian lineages), two ZIKV RNA-positive samples (Asian and African lineages), and one RNA-positive sample for each of the following orthoflaviviruses: DENV subtypes 1–4, JEV, and YFV (Table 1). The viral strains (Table 1) used in these panels were provided by the European Virus Archive-GLOBAL (EVAg) and can be accessed at https://www.european-virus-archive.com/.
TABLE 1
TABLE 1 Composition of the proficiency panels in the EQA of molecular detection for CHIKV, DENV, ZIKV, YFV, and JEV in EVD-LabNet laboratories, 2023
EQA sample content (virus/lineage)Virus strainRNA copies/µLEVAa Ref
Chikungunya virusECSAcUVE/CHIKV/2006/RE/LR2006_OPY11.18E+06001v-EVA83
Chikungunya virusAsianH20235/STMARTIN/20137.81E+04001v-EVA1540
Zika virusAsianH/PF/20131.73E+04001v-EVA1545
Zika virusAfricanMR7664.83E+04001v-EVA143
Dengue virus-1Genotype IUVE/DENV-1/2017/TH/70111.33E+04001V-03001
Dengue virus-2Cosmopolitan GenotypeUVE/DENV-2/2018/RE/470993.32E+04001V-02854
Dengue virus-3Genotype IIIUVE/DENV-3/2015/TH/77162.32E+04001V-03356
Dengue virus-4Genotype IIbUVE/DENV-4/2014/HT/61698.87E+02001V-03373
Japanese encephalitis virusGenotype IUVE/JEV/2009/LA/CNS7691.10E+04001V-02217
Yellow fever virusSouth America IIUVE/YFV/1999/BO/BOL88_19993.17E+04001v-EVA1460
Negative control sample (plasma) ×2  NAbNA
a
EVA, European Virus Archive.
b
NA, not applicable.
c
ECAS, East-Central-South-African.

Panel preparation and validation

For the preparation of the EQA panels, Vero E6 cells or C6/36 cells were infected with 1 of the 10 different virus strains (Table 1). The virus culture supernatants were heat inactivated at 60°C for 1 hour. Successful inactivation was confirmed by an additional passage on cells and observation of the absence of cytopathic effect and stable RNA levels over 5 days. Qualified non-therapeutic human plasma provided by the French blood bank was spiked with one of the inactivated virus strains to prepare 0.4-mL aliquots that were freeze dried in glass vials and stored at −20°C until shipment.
The viral loads of EQA specimens were quantified in reference to in-house or specific synthetic RNA controls. A fragment containing the virus-specific TaqMan-targeted sequence and tagged at the 5′-end with the T7 promoter sequence (5′-TAATACGACT CACTATAGGG-3′) was amplified by reverse transcription-PCR (RT-PCR) using an Access RT-PCR Kit (Promega, Madison, WI). The resulting PCR products were purified and transcribed using a T7 MEGAshortscript Kit (Thermo Fisher Scientific, Waltham, MA). The obtained RNA was purified with MegaClear Purification Kit (Thermo Fisher Scientific, Waltham, MA). RNA concentration was measured using a NanoDrop 1000 (Thermo Fisher Scientific, Waltham, MA) and translated into copy numbers. Real-time RT-PCR was performed using a GoTaq real-time quantitative reverse transcription-PCR (qRT-PCR) Kit (Promega, Madison, WI) on a QuantStudio 12K Flex Real-Time PCR System (Thermo Fisher Scientific, Waltham, MA).
The panel was further validated (blind pre-testing) by laboratory staff at the Central Virology Laboratory, Chaim Sheba Medical Center in Tel-Hashomer, Israel, using in-house, species-specific qRT-PCR assays. The freeze-dried panels were shipped to all participants at ambient temperature.

EQA result submission and evaluation

We collected the EQA results from an online submission form established on the EU survey platform. Participants were asked to submit methodological information, outcomes of each assay used for their diagnosis, and their final (diagnostic) conclusion for each of the samples in the panel. Submitted results were analyzed using Microsoft Excel version 2302 and R Studio, R version 4.2.0. Maps were created via an ECDC Map Maker tool (EMMa).

RESULTS

Participation and testing capacity

In total, 37 laboratories registered to participate and received EQA panels; among the laboratories that registered, one did not submit results. Finally, 36 laboratories from 20 EU/EEA and 4 EU-enlargement countries participated in the EQA (Fig. 1). All 36 laboratories participated with testing for CHIKV, DENV, and ZIKV. Twenty-three laboratories in 13 countries participated with testing for JEV while 30 laboratories in 20 countries participated with testing for YFV (Table 2).
Fig 1
Map of Europe showing laboratories per country in the mosquito-borne virus EQA. Green shading indicates at least one participating lab per country; darker green shows higher numbers. Created with ECDC Map Maker.
Fig 1 Number of participating laboratories per country. Countries are shaded with green when at least one laboratory in the country completed the mosquito-borne virus EQA panel and reported results. Number in each country is the number of participating laboratories within each country. Darker green means more laboratories in that country participated in the EQA. The number of participating laboratories per country is depicted in the map. The map was created using the ECDC Map Maker tool (EMMa).
TABLE 2
TABLE 2 Testing capacity by virus species through species-specific assays (left) and overall (using all diagnostic strategies: virus species-specific, genus-specific RT-PCR assays) by 36 EVD-LabNet laboratories
 No. of labs having species-specific PCR assaysNo. of labs having testing capacity (all diagnostic strategies included)
CHIKV3536
ZIKV3636
DENV3536
DENV + subtypingNot applicable29
JEV1523
YFV2330
Pan-alphavirusNot applicable7 (2 in combination with sequencing)
Pan-orthoflavivirusNot applicable14 (5 in combination with sequencing)
The number of laboratories that used virus species-specific RT-PCR assays for CHIKV, DENV, and ZIKV was very high (ZIKV, 36 of 36; DENV, 35 of 36; and CHIKV, 35 of 36) (Table 2). Less laboratories had both species-specific and subtyping capabilities for DENV (29 of 35), as some assays that are species specific for DENV only read out DENV±, while others read out the DENV subtypes DENV1–4± (Table 2). The number of virus species-specific RT-PCR assays for JEV was 15/23 and that for YFV was 23/30. Regarding genus-specific RT-PCR tests, more laboratories used pan-orthoflavivirus assays (14 of 36) than pan-alphavirus assays (7 of 36). Nine laboratories used high-throughput sequencing (HTS), either as the primary diagnostic test (1 of 36) or in combination with pan-alphavirus or pan-orthoflavivirus assays (8 of 36). Most laboratories (22) used automated extraction, while 14 used manual extraction for nucleic acid preparation.

Diagnostic conclusions

Considering the final diagnostic conclusion submitted by the participants for each panel entry (including both positive and negative samples), overall, 17 of 36 laboratories (47.2%) identified all EQA samples correctly (Table 3). All the laboratories that could only identify at the genus level called the samples as positive and negative correctly; the laboratories that could identify through a combination of a pan-genus assay and sequencing all identified the panel correctly as well. Incorrect answers were all reported using virus species-specific assays. Six laboratories showed problems of specificity (wrong virus identified in a positive sample) or possible laboratory contamination (false-positive result in a negative control [NC] sample), and three laboratories had problems of sensitivity (at least one false-negative result); no laboratories lacked both sensitivity and specificity.
TABLE 3
TABLE 3 Final diagnostic outcome reported by all laboratoriesa
Lab no.CHIKV ESCACHIKV AsianZIKV AsianZIKV AfricanDENV1DENV2DENV3DENV4JEVYFVNCNC
1CCCCCCCCCCCC
2CCCCCCCCCCCC
3CCCCCCCCCCCI
4CCCCCCCCNAFNCC
5CCCCCCCCNANACC
6CCCCCCCCNACCC
7CCCCCCCFNFNCCC
8CCCCCCCCCCCC
9CCCCCCCCNA/IPCCFP
10CCCCCCCCCCCC
11CCCCCCCCCCCC
12CCCCCCCCNANACC
13CCCCCCCCCCIFP
14CCCCCCCCCCCC
15CCCCCCCCCCCC
16CCCCCCCCCCCFP
17CCCCCCCCCCCI
18CCCCCCCCCCCC
19CCCCCCCCCCCC
20CCCCCCCCCCCC
21CCCCCCCCCCCC
22CCCCCCCCCCCC
23CCCCCCCCFNCCC
24CCCCCCCCNANA/IPII
25CCCCCCCCCCCC
26CCCCCCCCCCCFP
27CCCCCCCCFN/IPCCC
28CCCCCCCCCCCC
29CCCCCCCCCCCC
30CCCCCCCCNACCC
31CCCCCCCCNANACC
32CCCCCCCCNANACC
33CCCCCCCCNACCC
34CCCCCCCCNACCC
35CCCCCCCCNACCC
36CCCCCCCCNANACC
Total correct36/3636/3636/3636/3636/3636/3636/3635/3620/2329/3036/3632/36
False0/360/360/360/360/360/360/361/363/231/300/364/36
Total sensitivity100%100%100%100%100%100%100%97.2%86.9%96.6%NANA
a
Laboratories are anonymized by a unique identifying number. Laboratories submitted final diagnostic results. Results are coded according to capacities indicated by each laboratory. C = correct result based on indicated capacity; NA = test not available, correctly indicated as negative; NA/IP = test not available, incorrectly indicated as positive for other virus species; FN = false negative (test available); FN/IP = false negative (test available), incorrectly indicated as positive for other virus species; FP = false positive; I = inconclusive result; CHIKV = chikungunya virus; DENV = dengue virus; YFV = yellow fever virus; ZIKV = Zika virus; JEV = Japanese encephalitis virus; NC = negative control (no arbovirus RNA).
The overall performance of individual laboratories for each positive sample, as well as for NCs, is presented in Fig. 2. Correct result rates were 100% for both lineages of CHIKV and both lineages of ZIKV (i.e., all laboratories correctly identified CHIKV RNA-positive and ZIKV RNA-positive samples) (Fig. 2; Table 3). For DENV RNA-positive samples (n = 4 per panel and n = 144 in total), results were also excellent with only one laboratory having one false-negative result in the DENV-4 RNA-containing sample. Overall, for all DENV samples, 143 of 144 samples were diagnosed correctly. However, one laboratory mis-identified the YFV-RNA panel entry for DENV-RNA, possibly indicating a specificity issue or other misinterpretation issue. Twenty-nine of 36 laboratories were able to correctly sub-type the four DENV-RNA-containing samples. The remaining seven laboratories had no capacity for DENV subtyping. For the JEV-RNA-positive sample in the panel, the primary issue was a lack of capacity in the participant laboratories. Twenty-three of 36 laboratories reported that they have capacity to diagnose JEV samples using molecular diagnostics. At the country level, this corresponded to 13 of 24 participating countries having capacity. Of the 23 laboratories that attempted to diagnose the JEV-positive sample, two laboratories had a false-negative result for the JEV-RNA panel entry while one other laboratory identified the JEV-RNA panel entry as being YFV-RNA positive instead of JEV-RNA positive. For YFV-positive samples, the lack of capacity was also an issue, albeit smaller than JEV. Thirty of 36 laboratories reported that they have the capacity to diagnose YFV samples using molecular diagnostics. At the country level, this corresponded to 20 of 24 participating countries having YFV diagnostic capacity. Only four of 24 countries lacked molecular capability for both YFV and JEV. One laboratory reported a false-negative result for YFV, and two other laboratories reported an incorrect-positive result for YFV in the JEV-RNA panel entry, indicating a specificity problem in the YFV test. The five “inconclusive” results in the NC samples do suggest an interpretation issue for some of the laboratories. Finally, 4 of 36 laboratories reported false-positive results for NC samples. The two NCs were correctly identified as negative by most laboratories (95% of diagnostic conclusions were true negative). Of note, there were four instances (4 of 72) of false positives in the negative panel entries and all false-positive samples were called DENV positive.
Fig 2
Each bar in this chart represents the diagnostic performance of laboratories in this EQA. Counts shown are for correct, incorrect positives, false negatives, false positives, inconclusive results, and tests not applicable.
Fig 2 Final diagnostic conclusions provided by laboratories with capacity testing for each positive and negative sample.

Assay performances by method

Most laboratories used RT-PCR assays to test the proficiency panel. The range of variation in RT-PCR tests was very broad, and numerous laboratories provided information that was not specific enough to identify the exact test used.
Since RT-PCR assays represented the most common diagnostic strategy among participant laboratories (there was one laboratory that reported only based on metagenomic sequencing), we compared outcomes of virus species-specific RT-PCR and pan-alphavirus or pan-orthoflavivirus RT-PCR (regardless of real-time or conventional design). We found that when used as the diagnostic method, pan-orthoflavivirus and pan-alphavirus assays performed perfectly in this EQA. Laboratories that used HTS as a primary or supplemental diagnostic (for example, some laboratories performed pan-alphavirus PCR assays plus sanger sequencing) were also perfect in their diagnosis. Two of the four DENV-RNA false positives in the NCs were from the RealStar Dengue RT-PCR Kit; the other two false positives were each from different molecular assays. The laboratory that misidentified the YFV-RNA panel entry for DENV-RNA used the RealStar Dengue RT-PCR as well. Furthermore, there were two JEV-RNA panel entries that were mislabeled for YFV-RNA. In one instance, a commercial kit was used (VIASURE), and in one instance, an in-house test targeting viral gene NS5A. In both instances, a CT value of >39 was reported.

DISCUSSION

Thirty-six laboratories in 24 countries (20 EU/EEA, 4 EU-enlargement) participated in this EQA exercise focusing on the molecular detection of three arboviruses (DENV, CHIKV, and ZIKV) (potentially) emerging in Europe in Ae. albopictus-infested areas and two arboviruses (YFV, JEV) that are occasionally detected in travelers returning from endemic/epidemic regions worldwide.
Importantly, all laboratories reported the capacity for the three viruses that have proven potential for autochthonous transmission in specific regions in Europe; all participants correctly identified the ZIKV- and CHIKV-RNA-positive panel entries (100% score) while for DENV, only one sample of DENV4-RNA was missed by a laboratory (99.3% score). However, four laboratories identified one of the NC samples as DENV-RNA positive while one laboratory mis-identified the YFV-RNA sample as DENV-RNA positive. At this time (2024), (false) positivity in a suspected autochthonous case in Europe will lead to an extensive local public health response (40).
Molecular detection for CHIKV, DENV, and ZIKV was included in EVD-LabNet proficiency panels in the past. During the ZIKV Public Health Emergency of International Concern, only 40% (20 of 50) of the EVD-LabNet laboratories scored sufficiently, i.e., they had at least one test operational that scored all core samples correctly. Comparing the EQA results in 2016 and 2023 for panel entries with similar RNA loads, we observe an increase in percentage correct results for the ZIKV African lineage from 66% to 100% and for the Asian lineage from 79% to 100% (41).
CHIKV was also included in a 2022 EVD-LabNet proficiency panel targeting molecular detection of alphaviruses. The 2022 CHIKV Asian lineage panel entry with a similar RNA load as in the panel assessed here showed similar results with only one single false-negative result in 2022 versus the 100% score here.
A network EQA in 2003 showed 73%–100% capability to detect DENV1-4; however, only 15 laboratories participated versus 36 laboratories now, representing a significant increase in diagnostic capacity in the EU/EEA. The 2003 EQA showed a profound lack of sensitivity for DENV detection among the participants (42). As sensitivity was not assessed in the current EQA, it is recommended to include a DENV1-4 sensitivity assessment in near-future proficiency tests as part of the work of the soon-to-be-established EURL vector-borne viral diseases laboratory network (43).
For molecular detection of YFV-RNA, 76% of the participants with reported detection capacity reported having a species-specific RT-PCR. The capability among the 30 laboratories was high; only one missed the YFV-RNA-positive sample (a possible sensitivity issue, overall 97% laboratories correct) while another laboratory identified wrongly two other panel entries as YFV-RNA positive (a possible specificity issue). This success rate is a considerable capability improvement in comparison to the previous YFV-dedicated network EQA in 2018, where only 71% of the network laboratories scored a panel entry with South America lineage YFV-RNA with a similar load correct (44).
The capability for molecular detection of JEV RNA was assessed for the first time within EVD-LabNet. The capacity for molecular detection of JEV was the lowest for all five target viruses with 23 of 36 laboratories having the capacity, of which 15 had a JEV-specific RT-PCR test. The success rate was 83% with four laboratories mislabeling the JEV panel entry: 2× it was called negative for arbovirus RNA and 2× it was called as containing YFV-RNA based on very high Ct-values. As the environmental conditions in the EU/EEA are considered suitable for JEV transmission upon introduction of the virus from JEV-endemic regions, laboratory preparedness and response planning for timely and reliable detection in animal reservoirs (birds and pigs) and dead-end hosts like humans and equids are necessary to contain emergence and possible establishment of the virus in bird/pig-mosquito cycles (45) (46). Seeing the importance of reliable and sufficient capacity for JEV detection for potential future JEV risk mitigation, the need for EQA support to the establishment of such capacity is evident. Therefore, besides encouragement of laboratories to implement JEV diagnostics, proficiency testing for molecular detection of JEV is recommended for the future including the range of different JEV genotypes and a sensitivity assessment.
The EQA described here showed once again the high variety in diagnostic tests that are used in EU/EEA laboratories for diagnosis of emerging viral infections and the importance of laboratory-developed tests (LDT) for diagnostic workflows for molecular detection of emerging viruses that are not routinely part of diagnostic portfolios (Table 4). Most laboratories relied on in-house assays with scientific literature as a pivotal source to implement these LDTs. The wide range of LDTs used in this EQA shows that the implementation of LDTs is of high importance for reliable testing in the workflows of the participating laboratories. In 2024, the in vitro diagnostic regulation (IVD-R) becomes effective in the EU/EEA (47). Seeing the high reliance of European expert laboratories on LDTs that performed with high reliability in this EQA, the effects of the implementation of the IVD-R on the reliability but also the timeliness of laboratory response operations should be evaluated and assessed very carefully. The observed absence of standardization for arbovirus detection, albeit with great reliability, potentially hampers consistent case finding and reporting for the EU-notifiable diseases caused by DENV, CHIKV, ZIKV, and YFV. To assess whether the molecular capabilities are indeed sufficient for consistent case finding, future EQAs should assess sensitivity aspects of testing more in-depth as RNA loads were quite high in the current proficiency panel and may not represent viral loads seen in clinical settings. Laboratories participating in EQAs are further encouraged to provide more detailed information on the diagnostic tests used to guide putative corrective actions needed and to increase the impact that proficiency testing can have on the quality of testing.
TABLE 4
TABLE 4 Overview of self-reported diagnostic assays used by 36 laboratories that participated in the EQA for arbovirusesa
Diagnostic assays# of laboratories using the assayPerformance comments
CHIKV Commercial  
 Altona RealStar Chikungunya RT-PCR Kit8 
 Clonit SRL CHIKV1 
CHIKV LDT  
 CHIKV—E1 (48)5 
 CHIKV—nsp1 (49)3 
 CHIKV—non-structural polyprotein (50)1 
 CHIKV—nsp2 (51)1 
 CHIKV—polyprotein (52)1 
 CHIKV—E (53)1 
 CHIKV—3′UTR/NSP1 (54)1 
 CHIKV—unspecified2 
DENV Commercial  
 Altona RealStar Dengue Type RT-PCR Kit8False positive (n = 2), Incorrect positive (n = 1)
 Clonit SRL DENV1–41False positive (n = 1)
 LightMix Reflex Dengue Typing TibMolBiol DENV1–41 
 Roche LightMix DENV1–41 
 Sacace Biotechnologies DENV1–41 
 Viasure CerTest Biotech DENV1–41 
DENV LDT  
 CDC DENV—1–4 rRT-PCR multiplex assay4 
 DENV1-4—NS5, E, prM x 2 (55)2 
 DENV—3′UTR (56)2 
 DENV1–4—3′UTR (57)1 
 DENV1–4—NS5, E, prM × 2 (58)1 
 DENV1–4—5′UTR-capsid (52)1 
 DENV1–4—E, E/NS1 (59)1 
 DENV1—NS5; DENV2-4-capsid (60)1 
 DENV—unspecified3False negative (n = 1)
ZIKV Commercial  
 Altona RealStar Zika Virus RT-PCR Kit10 
 Clonit SRL ZIKV1 
 Roche LightMix ZIKV1 
ZIKV LDT  
 ZIKV—E (61)7 
 ZIKV—NS1/NS2A (62)2 
 ZIKV—NS5 (63)1 
 ZIKV—3′UTR (51)1 
 ZIKV—NS5A (64)1 
 ZIKV—unspecified3 
YFV Commercial  
 Altona RealStar Yellow Fever Virus RT-PCR Kit7 
 Viasure YFV kit1Incorrect positive (n = 1)
YFV LDT  
 YFV—5′UTR (65)3 
 YFV—5′UTR (66)3False negative (n = 1)
 YFV—5′UTR (67)1 
 YFV—NS1 (68)1 
 YFV—unspecified6False positive (n = 1)
JEV Commercial  
 Liferiver JEV1 
JEV LDT  
 JEV—NS1 (69)3 
 JEV—3′UTR (70)2 
 JEV—NS2A (71)2 
 JEV—5′UTR (67)1 
 JEV—NS5 (72)1 
 JEV—NS2A (73)1 
 JEV—unspecified3False negative (n = 1)
Multiplex Commercial  
 Fast Track Diagnostics Tropical Fever Core (DENV/CHIKV)2 
 Fast Viral Master Mix (custom made)—Life Technologies DENV1 = NS5 gene, DENV2 = C gene, DENV3 = C gene, DENV4 = C gene, pan-DENV = 3′UTR, CHIKV = NSP1 gene, ZIKV = envelope (protein E), YFV = 5NC, JEV = NS51 
 Roche DENV, ZIKV, CHIKV1 
 Viasure ZIKV, DENV, CHIKV Kit1 
 Illumina viral surveillance panel (sequencing)1 
Multiplex LDT  
 Pan-orthoflavivirus—NS5 (74)6 
 CDC Trioplex rRT-PCR assay (CHIKV, DENV, ZIKV)5 
 Pan-alphavirus—nsP4 (75)3 
 Pan-alphavirus—nsP4 (76)2 
 Pan-alphavirus—nsP4 (77)2 
 Unspecified pan-orthoflavivirus2 
 Pan-orthoflavivirus PCR—NS5 + DENV4 + YFV targets, adapted from reference (72)1Incorrect positive (n = 1)
 Pan-orthoflavivirus—NS1 (78)1 
 Pan-Orthoflavivirus—3′UTR + partial sequencing (79)1 
 Unspecified—target is CHIKV, ZIKV, YFV E11 
 ZIKV NS5 and detection DENV polyprotein1False positive (n = 1)
 Pan-orthoflavivirus—NS5A (80)1 
 WNV and pan-orthoflavivirus—5′UTR, C, NS5, nsP4 (81)1 
 Pan-alphavirus—unspecified1 
Other viruses  
 High-throughput sequencing5 
 WNV—5′UTR/capsid gene unspecified1 
 MAYV—E2 (82)1 
 TBEV—NovaplexTick-borne Disease Expanded Assay (RUO)1 
 USUV—NS5 (83)1 
 WNV—5′UTR/non-structural protein NS2A (84)1 
 USUV—NS1 (85)1 
 TBEV—5′UTR-capsid (86)1 
 WNV ELITe MGB Kit1 
 USUV—E (87)1 
 WNV—3′UTR-capsid (88)1 
 Altona RealStar WNV RT-PCR Kit1 
 MAYV—unspecified1 
a
For the "Performance comments” column, if there is no comment, there were no issues with diagnostic workflows that used that specific diagnostic assay in this EQA. If there is an issue with the performance of diagnostic workflow in which the specific test was used, in the given cell, the issue will be described and the total number of issues will be given (for example, false negative [n = 2]). False positive = positive result in negative control; incorrect positive = positive result but incorrect virus species identification. CHIKV = chikungunya virus; DENV = dengue virus; ZIKV = Zika virus; YFV = yellow fever virus; JEV = Japanese encephalitis virus; WNV = West Nile virus; USUV = Usutu virus; TBEV = tick-borne encephalitis virus; MAYV = Mayaro virus; LDT = laboratory-developed tests.
Finally, this EQA was limited to molecular detection of a range of mosquito-borne viruses. While molecular detection of the viral RNAs is a powerful tool in the establishment and confirmation of infection, diagnosis is often based on serology alone as viremia is typically short lived in these infections. Therefore, it is recommended to perform EQAs for detection of virus-specific antibodies in the future. However, the performance of such EQA might be hampered by the availability of sufficient, well-defined serum samples for the rare viruses like JEV and YFV and by legal constraints for distribution of such clinical materials.

ACKNOWLEDGMENTS

We thank all the EQA participants: Institute of Public Health, Tirana, Albania; Medical University of Vienna, Center for Virology, Vienna, Austria; Institute of Tropical Medicine, Antwerp, Belgium; University Hospital for Infectious Diseases "Dr. Fran Mihaljević," Zagreb, Croatia; Cyprus Institute of Neurology and Genetics, Nicosia, Cyprus; Institute of Virology, Charité—Universitätsmedizin Berlin, Berlin, Germany; Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany; Friedrich-Loeffler-Institut, Germany; Aristotle University of Thessaloniki, Thessaloniki, Greece; Molecular virology Laboratory, Microbiology and Virology department, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy; Istituto Superiore di Sanità, Rome, Italy; Scientific Department, Army Medical Center, Rome, Italy; Amedeo di Savoia Hospital—ASL Città di Torino, Torino, Italy; Padova University Hospital, Padova, Italy; U.O. Microbiology (CRREM), IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy; Laboratoire National de Santé, Dudelange, Luxembourg; Institute of Public Health, Montenegro; National Institute for Public Health and the Environment—RIVM, Bilthoven, Netherlands; Institute of Virology, Vaccines and Sera “Torlak”, Belgrade, Serbia, Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia; Laboratorio de Referencia de Virus de Andalucía; Servicio de Microbiología. Hospital Universitario Virgen de las Nieves, Spain; Centre National de Reference (CNR) Arbovirus, Marseille, France; CIBU Institut Pasteur, Paris, France; HUS Diagnostic Center, Virology and Immunology, Helsinki, Finland; National Public Health Center, Budapest, Hungary; National Institute of Health/Center for Vectors and Infectious Disease Research, Lisbon, Portugal; Instituto de Salud Carlos III, Madrid, Spain; Hellenic Pasteur Institute, Athens, Greece; Defense Institute for Biomedical Sciences, Italy; “Cantacuzino” National Medico-Military Institute for Research and Development, Bucharest, Romania; U.O. Microbiologia Laboratorio Unico—Centro Servizi—AUSL della Romagna, Rome, Italy; Erasmus Medical Centre, Department of Virology, Rotterdam, Netherlands; Oslo University Hospital, Department of Microbiology, Oslo, Norway; Molecular Diagnostics, Pathology Department, Mater Dei Hospital, Malta; Institute of Public Health of Republic of North Macedonia, Skopje, North Macedonia; UCD National Virus Reference Laboratory, Dublin, Ireland; Riga East University Hospital, Latvian Infectology Center, National Reference Laboratory, Riga, Latvia.
In addition, we thank the ECDC support staff, as well as all the staff members who provided laboratory, administrative, and other technical support at AMU and RIVM, especially Camille Placidi, Johan Reimerink, and Bas van der Veer.
This work was funded by the European Centre for Disease Prevention and Control (ECDC) under specific contract No 3 ECD.14393 ID 26009 implementing Framework contract No ECDC/2020/010. For providing access to the virus strains used, we thank the EVA-GLOBAL consortium (funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 871029).
Conceptualization was done by the following: C.M.G., C.B.E.M.R., and R.N.C.; methodology was prepared by the following: L.P., L.D.P., R.M., C.B.E.M.R., and R.N.C.; validation was done by the following: L.P., C.B.E.M.R., and Y.L.; data analysis was done by the following: L.D.P. and R.M.; visualization was done by the following: L.D.P.; project administration was done by the following: L.D.P., C.B.E.M.R., and R.N.C.; supervision was done by the following: C.B.E.M.R. and R.N.C.; resources were acquired by the following: C.M.G., C.B.E.M.R., and R.N.C.; writing was done by the following: L.D.P., R.M., C.B.E.M.R., and R.N.C.; all authors reviewed the manuscript.

REFERENCES

1.
Mordecai EA, Ryan SJ, Caldwell JM, Shah MM, LaBeaud AD. 2020. Climate change could shift disease burden from malaria to arboviruses in Africa. Lancet Planet Health 4:e416–e423.
2.
Weaver SC, Charlier C, Vasilakis N, Lecuit M. 2018. Zika, chikungunya and other emerging vector-borne viral diseases. Annu Rev Med 69:395–408.
3.
Sigfrid L, Reusken C, Eckerle I, Nussenblatt V, Lipworth S, Messina J, Kraemer M, Ergonul O, Papa A, Koopmans M, Horby P. 2018. Preparing clinicians for (re-)emerging arbovirus infectious diseases in Europe. Clin Microbiol Infect 24:229–239.
4.
Messina JP, Brady OJ, Golding N, Kraemer MUG, Wint GRW, Ray SE, Pigott DM, Shearer FM, Johnson K, Earl L, Marczak LB, Shirude S, Davis Weaver N, Gilbert M, Velayudhan R, Jones P, Jaenisch T, Scott TW, Reiner RC Jr, Hay SI. 2019. The current and future global distribution and population at risk of dengue. Nat Microbiol 4:1508–1515.
5.
Pierson TC, Diamond MS. 2020. The continued threat of emerging flaviviruses. Nat Microbiol 5:796–812.
6.
GBD 2015 DALYs and HALE Collaborators. 2016. Global, regional, and national disability-adjusted life-years (DALYs) for 315 diseases and injuries and healthy life expectancy (HALE), 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 388:1603–1658.
7.
Labeaud AD, Bashir F, King CH. 2011. Measuring the burden of arboviral diseases: the spectrum of morbidity and mortality from four prevalent infections. Popul Health Metr 9:1.
8.
Organisation WH. 2017. Global vector control response 2017-2030
9.
Zaid A, Burt FJ, Liu X, Poo YS, Zandi K, Suhrbier A, Weaver SC, Texeira MM, Mahalingam S. 2021. Arthritogenic alphaviruses: epidemiological and clinical perspective on emerging arboviruses. Lancet Infect Dis 21:e123–e133.
10.
Wahid B, Ali A, Rafique S, Idrees M. 2017. Global expansion of chikungunya virus: mapping the 64-year history. Int J Infect Dis 58:69–76.
11.
Faria NR, Azevedo R do S da S, Kraemer MUG, Souza R, Cunha MS, Hill SC, Thézé J, Bonsall MB, Bowden TA, Rissanen I, et al. 2016. Zika virus in the Americas: early epidemiological and genetic findings. Science 352:345–349.
12.
de Souza WM, Ribeiro GS, de Lima STS, de Jesus R, Moreira FRR, Whittaker C, Sallum MAM, Carrington CVF, Sabino EC, Kitron U, Faria NR, Weaver SC. 2024. Chikungunya: a decade of burden in the Americas. Lancet Reg Health Am 30:100673.
14.
ECDC. 2023. Aedes albopictus - current known distribution: October 2023. Available from: https://www.ecdc.europa.eu/en/publications-data/aedes-albopictus-current-known-distribution-october-2023
15.
Gjenero-Margan I, Aleraj B, Krajcar D, Lesnikar V, Klobučar A, Pem-Novosel I, Kurečić-Filipović S, Komparak S, Martić R, Duričić S, Betica-Radić L, Okmadžić J, Vilibić-Čavlek T, Babić-Erceg A, Turković B, Avsić-Županc T, Radić I, Ljubić M, Sarac K, Benić N, Mlinarić-Galinović G. 2011. Autochthonous dengue fever in Croatia, August-September 2010. Euro Surveill 16:19805.
16.
ECDC. n.d. Autochthonous vectorial transmission of dengue virus in mainland EU/EEA, 2010-present 2024. Available from: https://www.ecdc.europa.eu/en/all-topics-z/dengue/surveillance-and-disease-data/autochthonous-transmission-dengue-virus-eueea
17.
La Ruche G, Souarès Y, Armengaud A, Peloux-Petiot F, Delaunay P, Desprès P, Lenglet A, Jourdain F, Leparc-Goffart I, Charlet F, Ollier L, Mantey K, Mollet T, Fournier JP, Torrents R, Leitmeyer K, Hilairet P, Zeller H, Van Bortel W, Dejour-Salamanca D, Grandadam M, Gastellu-Etchegorry M. 2010. First two autochthonous dengue virus infections in metropolitan France, September 2010. Euro Surveill 15:19676.
18.
Monge S, García-Ortúzar V, López Hernández B, Lopaz Pérez MÁ, Delacour-Estrella S, Sánchez-Seco MP, Fernández Martinez B, García San Miguel L, García-Fulgueiras A, Sierra Moros MJ, Dengue Outbreak Investigation Team. 2020. Characterization of the first autochthonous dengue outbreak in Spain (August-September 2018). Acta Trop 205:105402.
19.
Lazzarini L, Barzon L, Foglia F, Manfrin V, Pacenti M, Pavan G, Rassu M, Capelli G, Montarsi F, Martini S, Zanella F, Padovan MT, Russo F, Gobbi F. 2020. First autochthonous dengue outbreak in Italy, August 2020. Euro Surveill 25:2001606.
20.
Vermeulen TD, Reimerink J, Reusken C, Giron S, de Vries PJ. 2020. Autochthonous dengue in two Dutch tourists visiting Département Var, southern France, July 2020. Euro Surveill 25:2001670.
21.
ECDC. n.d. Autochthonous transmission of chikungunya virus in mainland EU/EEA, 2007–present 2023. Available from: https://www.ecdc.europa.eu/en/infectious-disease-topics/z-disease-list/chikungunya-virus-disease/surveillance-threats-and
22.
Venturi G, Di Luca M, Fortuna C, Remoli ME, Riccardo F, Severini F, Toma L, Del Manso M, Benedetti E, Caporali MG, Amendola A, Fiorentini C, De Liberato C, Giammattei R, Romi R, Pezzotti P, Rezza G, Rizzo C. 2017. Detection of a chikungunya outbreak in Central Italy, August to September 2017. Euro Surveill 22:17-00646.
23.
Rezza G, Nicoletti L, Angelini R, Romi R, Finarelli AC, Panning M, Cordioli P, Fortuna C, Boros S, Magurano F, Silvi G, Angelini P, Dottori M, Ciufolini MG, Majori GC, Cassone A, CHIKV study group. 2007. Infection with chikungunya virus in Italy: an outbreak in a temperate region. Lancet 370:1840–1846.
24.
Giron S, Franke F, Decoppet A, Cadiou B, Travaglini T, Thirion L, Durand G, Jeannin C, L’Ambert G, Grard G, Noël H, Fournet N, Auzet-Caillaud M, Zandotti C, Aboukaïs S, Chaud P, Guedj S, Hamouda L, Naudot X, Ovize A, Lazarus C, de Valk H, Paty M-C, Leparc-Goffart I. 2019. Vector-borne transmission of Zika virus in Europe, southern France, August 2019. Euro Surveill 24:1900655.
25.
ECDC. 2023. Aedes aegypti - current known distribution: October 2023. Available from: https://www.ecdc.europa.eu/en/publications-data/aedes-aegypti-current-known-distribution-october-2023
26.
Eckerle I, Briciu VT, Ergönül Ö, Lupşe M, Papa A, Radulescu A, Tsiodras S, Tsitou C, Drosten C, Nussenblatt VR, Reusken CB, Sigfrid LA, Beeching NJ. 2018. Emerging souvenirs-clinical presentation of the returning traveller with imported arbovirus infections in Europe. Clin Microbiol Infect 24:240–245.
27.
Venturi G, Aberle SW, Avšič-Županc T, Barzon L, Batejat C, Burdino E, Carletti F, Charrel R, Christova I, Connell J, et al. 2020. Specialist laboratory networks as preparedness and response tool - the emerging viral diseases-expert laboratory network and the chikungunya outbreak, Thailand, 2019. Euro Surveill 25:1900438.
28.
Javelle E, Florescu S-A, Asgeirsson H, Jmor S, Eperon G, Leshem E, Blum J, Molina I, Field V, Pietroski N, Eldin C, Johnston V, Cotar IA, Popescu C, Hamer DH, Gautret P. 2019. Increased risk of chikungunya infection in travellers to Thailand during ongoing outbreak in tourist areas: cases imported to Europe and the Middle East, early 2019. Euro Surveill 24.
29.
Gossner CM, Haussig JM, de Bellegarde de Saint Lary C, Kaasik Aaslav K, Schlagenhauf P, Sudre B. 2018. Increased risk of yellow fever infections among unvaccinated European travellers due to ongoing outbreak in Brazil, July 2017 to March 2018. Euro Surveill 23.
30.
Oliveira S, Rocha J, Sousa CA, Capinha C. 2021. Wide and increasing suitability for Aedes albopictus in Europe is congruent across distribution models. Sci Rep 11:9916.
31.
Wouthuyzen-Bakker M, Knoester M, van den Berg AP, GeurtsvanKessel CH, Koopmans MP, Van Leer-Buter C, Oude Velthuis B, Pas SD, Ruijs WL, Schmidt-Chanasit J, Vreden SG, van der Werf TS, Reusken CB, Bierman WF. 2017. Yellow fever in a traveller returning from Suriname to the Netherlands, March 2017. Euro Surveill 22:30488.
33.
Global arbovirus initiative [press release]. 2022
34.
Increasing risk of mosquito-borne diseases in EU/EEA following spread of Aedes species. 2023
35.
Wolford T, Sutton J, Mangal CN. 2023. Laboratory response to pandemic threats: challenges, needs, and solutions. Health Secur 21:S56–S59.
36.
Reusken CB, Ieven M, Sigfrid L, Eckerle I, Koopmans M. 2018. Laboratory preparedness and response with a focus on arboviruses in Europe. Clin Microbiol Infect 24:221–228.
37.
Perkins MD, Kessel M. 2015. What Ebola tells us about outbreak diagnostic readiness. Nat Biotechnol 33:464–469.
38.
Doti P, Castro P, Martínez MJ, Zboromyrska Y, Aldasoro E, Inciarte A, Requena-Méndez A, Milisenda J, Fernández S, Nicolás JM, Muñoz J. 2013. A case of Japanese encephalitis in a 20 year-old Spanish sportsman, February 2013. Euro Surveill 18:20573.
39.
Huits R, Eelen Y, Jorens PG, Ariën KK, Van Esbroeck M, Duval EL. 2020. Japanese encephalitis in a young traveler returning from a short-term holiday in Khao Lak, Thailand. Travel Med Infect Dis 34:101580.
40.
ECDC. 2019. Rapid risk assessment: autochthonous cases of dengue in Spain and France
41.
Mögling R, Zeller H, Revez J, Koopmans M, Reusken C, ZIKV reference laboratory group. 2017. Status, quality and specific needs of Zika virus (ZIKV) diagnostic capacity and capability in National Reference Laboratories for arboviruses in 30 EU/EEA countries, May 2016. Euro Surveill 22:30609.
42.
Lemmer K, Donoso Mantke O, Bae HG, Groen J, Drosten C, Niedrig M. 2004. External quality control assessment in PCR diagnostics of dengue virus infections. J Clin Virol 30:291–296.
43.
Commission designates first European reference laboratories for public health. 2024
44.
Domingo C, Ellerbrok H, Koopmans M, Nitsche A, Leitmeyer K, Charrel RN, Reusken CBEM. 2018. Need for additional capacity and improved capability for molecular detection of yellow fever virus in European expert laboratories: external quality assessment, March 2018. Euro Surveill 23:1800341.
45.
Esser HJ, Mögling R, Cleton NB, van der Jeugd H, Sprong H, Stroo A, Koopmans MPG, de Boer WF, Reusken CBEM. 2019. Risk factors associated with sustained circulation of six zoonotic arboviruses: a systematic review for selection of surveillance sites in non-endemic areas. Parasit Vectors 12:265.
46.
Gossner CM, Dhollander S, Presser LD, Briet O, Bakonyi T, Schaffner F, Figuerola J. 2024. Potential for emergence of Japanese encephalitis in the European Union. Zoonoses Public Health 71:274–280.
47.
Regulation (EU) 2017/746 of the European Parliament and of the Council of 5 April 2017 on in vitro diagnostic medical devices and repealing Directive 98/79/EC and Commission Decision 2010/227/EU. 2023
48.
Pastorino B, Bessaud M, Grandadam M, Murri S, Tolou HJ, Peyrefitte CN. 2005. Development of a TaqMan RT-PCR assay without RNA extraction step for the detection and quantification of African Chikungunya viruses. J Virol Methods 124:65–71.
49.
Panning M, Grywna K, van Esbroeck M, Emmerich P, Drosten C. 2008. Chikungunya fever in travelers returning to Europe from the Indian Ocean region, 2006. Emerg Infect Dis 14:416–422.
50.
Jääskeläinen AJ, Kareinen L, Smura T, Kallio-Kokko H, Vapalahti O. 2020. Chikungunya virus infections in Finnish travellers 2009-2019. Infect Ecol Epidemiol 10:1798096.
51.
Mishra N, Ng J, Rakeman JL, Perry MJ, Centurioni DA, Dean AB, Price A, Thakkar R, Angus AG, Williamson P, Delwart E, Carrington C, Sahadeo N, Che X, Briese T, Tokarz R, Lipkin WI. 2019. One-step pentaplex real-time polymerase chain reaction assay for detection of zika, dengue, chikungunya, West nile viruses and a human housekeeping gene. J Clin Virol 120:44–50.
52.
Waggoner JJ, Gresh L, Mohamed-Hadley A, Ballesteros G, Davila MJV, Tellez Y, Sahoo MK, Balmaseda A, Harris E, Pinsky BA. 2016. Single-reaction multiplex reverse transcription PCR for detection of zika, chikungunya, and dengue viruses. Emerg Infect Dis 22:1295–1297.
53.
Lanciotti RS, Kosoy OL, Laven JJ, Panella AJ, Velez JO, Lambert AJ, Campbell GL. 2007. Chikungunya virus in US travelers returning from India, 2006. Emerg Infect Dis 13:764–767.
54.
Thirion L, Pezzi L, Corcostegui I, Dubot-Pérès A, Falchi A, de Lamballerie X, Charrel RN. 2019. Development and evaluation of a duo chikungunya virus real-time RT-PCR assay targeting two regions within the genome. Viruses 11:755.
55.
Santiago GA, Vergne E, Quiles Y, Cosme J, Vazquez J, Medina JF, Medina F, Colón C, Margolis H, Muñoz-Jordán JL. 2013. Analytical and clinical performance of the CDC real time RT-PCR assay for detection and typing of dengue virus. PLoS Negl Trop Dis 7:e2311.
56.
Leparc-Goffart I, Baragatti M, Temmam S, Tuiskunen A, Moureau G, Charrel R, de Lamballerie X. 2009. Development and validation of real-time one-step reverse transcription-PCR for the detection and typing of dengue viruses. J Clin Virol 45:61–66.
57.
Huhtamo E, Hasu E, Uzcátegui NY, Erra E, Nikkari S, Kantele A, Vapalahti O, Piiparinen H. 2010. Early diagnosis of dengue in travelers: comparison of a novel real-time RT-PCR, NS1 antigen detection and serology. J Clin Virol 47:49–53.
58.
Johnson BW, Russell BJ, Lanciotti RS. 2005. Serotype-specific detection of dengue viruses in a fourplex real-time reverse transcriptase PCR assay. J Clin Microbiol 43:4977–4983.
59.
Domingo C, Palacios G, Jabado O, Reyes N, Niedrig M, Gascón J, Cabrerizo M, Lipkin WI, Tenorio A. 2006. Use of a short fragment of the C-terminal E gene for detection and characterization of two new lineages of dengue virus 1 in India. J Clin Microbiol 44:1519–1529.
60.
Callahan JD, Wu SJ, Dion-Schultz A, Mangold BE, Peruski LF, Watts DM, Porter KR, Murphy GR, Suharyono W, King CC, Hayes CG, Temenak JJ. 2001. Development and evaluation of serotype- and group-specific fluorogenic reverse transcriptase PCR (TaqMan) assays for dengue virus. J Clin Microbiol 39:4119–4124.
61.
Lanciotti RS, Kosoy OL, Laven JJ, Velez JO, Lambert AJ, Johnson AJ, Stanfield SM, Duffy MR. 2007. Genetic and serologic properties of Zika virus associated with an epidemic, Yap State, Micronesia, 2007. Emerg Infect Dis 14:1232–1239.
62.
Corman VM, Rasche A, Baronti C, Aldabbagh S, Cadar D, Reusken CB, Pas SD, Goorhuis A, Schinkel J, Molenkamp R, Kümmerer BM, Bleicker T, Brünink S, Eschbach-Bludau M, Eis-Hübinger AM, Koopmans MP, Schmidt-Chanasit J, Grobusch MP, de Lamballerie X, Drosten C, Drexler JF. 2016. Assay optimization for molecular detection of Zika virus. Bull World Health Organ 94:880–892.
63.
Faye O, Faye O, Diallo D, Diallo M, Weidmann M, Sall AA. 2013. Quantitative real-time PCR detection of Zika virus and evaluation with field-caught mosquitoes. Virol J 10:311.
64.
Balm MND, Lee CK, Lee HK, Chiu L, Koay ESC, Tang JW. 2012. A diagnostic polymerase chain reaction assay for Zika virus. J Med Virol 84:1501–1505.
65.
Drosten C, Göttig S, Schilling S, Asper M, Panning M, Schmitz H, Günther S. 2002. Rapid detection and quantification of RNA of Ebola and Marburg viruses, Lassa virus, Crimean-Congo hemorrhagic fever virus, Rift Valley fever virus, dengue virus, and yellow fever virus by real-time reverse transcription-PCR. J Clin Microbiol 40:2323–2330.
66.
Domingo C, Patel P, Yillah J, Weidmann M, Méndez JA, Nakouné ER, Niedrig M. 2012. Advanced yellow fever virus genome detection in point-of-care facilities and reference laboratories. J Clin Microbiol 50:4054–4060.
67.
Xu Z, Peng Y, Yang M, Li X, Wang J, Zou R, Liang J, Fang S, Liu Y, Yang Y. 2022. Simultaneous detection of Zika, chikungunya, dengue, yellow fever, West Nile, and Japanese encephalitis viruses by a two-tube multiplex real-time RT-PCR assay. J Med Virol 94:2528–2536.
68.
Fischer C, Torres MC, Patel P, Moreira-Soto A, Gould EA, Charrel RN, de Lamballerie X, Nogueira RMR, Sequeira PC, Rodrigues CDS, Kümmerer BM, Drosten C, Landt O, Bispo de Filippis AM, Drexler JF. 2017. Lineage-specific real-time RT-PCR for yellow fever virus outbreak surveillance, Brazil. Emerg Infect Dis 23:1867–1871.
69.
Shao N, Li F, Nie K, Fu SH, Zhang WJ, He Y, Lei WW, Wang QY, Liang GD, Cao YX, Wang HY. 2018. TaqMan real-time RT-PCR assay for detecting and differentiating Japanese encephalitis virus. Biomed Environ Sci 31:208–214.
70.
Yang DK, Kweon CH, Kim BH, Lim SI, Kim SH, Kwon JH, Han HR. 2004. TaqMan reverse transcription polymerase chain reaction for the detection of Japanese encephalitis virus. J Vet Sci 5:345–351.
71.
Bharucha T, Sengvilaipaseuth O, Vongsouvath M, Vongsouvath M, Davong V, Panyanouvong P, Piorkowski G, Garson JA, Newton PN, de Lamballerie X, Dubot-Pérès A. 2018. Development of an improved RT-qPCR Assay for detection of Japanese encephalitis virus (JEV) RNA including a systematic review and comprehensive comparison with published methods. PLoS One 13:e0194412.
72.
Patel P, Landt O, Kaiser M, Faye O, Koppe T, Lass U, Sall AA, Niedrig M. 2013. Development of one-step quantitative reverse transcription PCR for the rapid detection of flaviviruses. Virol J 10:58.
73.
Barros SC, Ramos F, Zé-Zé L, Alves MJ, Fagulha T, Duarte M, Henriques M, Luís T, Fevereiro M. 2013. Simultaneous detection of West Nile and Japanese encephalitis virus RNA by duplex TaqMan RT-PCR. J Virol Methods 193:554–557.
74.
Scaramozzino N, Crance JM, Jouan A, DeBriel DA, Stoll F, Garin D. 2001. Comparison of flavivirus universal primer pairs and development of a rapid, highly sensitive heminested reverse transcription-PCR assay for detection of flaviviruses targeted to a conserved region of the NS5 gene sequences. J Clin Microbiol 39:1922–1927.
75.
Giry C, Roquebert B, Li-Pat-Yuen G, Gasque P, Jaffar-Bandjee MC. 2017. Improved detection of genus-specific Alphavirus using a generic TaqMan assay. BMC Microbiol 17:164.
76.
Eshoo MW, Whitehouse CA, Zoll ST, Massire C, Pennella T-TD, Blyn LB, Sampath R, Hall TA, Ecker JA, Desai A, Wasieloski LP, Li F, Turell MJ, Schink A, Rudnick K, Otero G, Weaver SC, Ludwig GV, Hofstadler SA, Ecker DJ. 2007. Direct broad-range detection of alphaviruses in mosquito extracts. Virology (Auckl) 368:286–295.
77.
Sánchez-Seco MP, Rosario D, Quiroz E, Guzmán G, Tenorio A. 2001. A generic nested-RT-PCR followed by sequencing for detection and identification of members of the alphavirus genus. J Virol Methods 95:153–161.
78.
Sánchez-Seco MP, Rosario D, Domingo C, Hernández L, Valdés K, Guzmán MG, Tenorio A. 2005. Generic RT-nested-PCR for detection of flaviviruses using degenerated primers and internal control followed by sequencing for specific identification. J Virol Methods 126:101–109.
79.
Vina-Rodriguez A, Sachse K, Ziegler U, Chaintoutis SC, Keller M, Groschup MH, Eiden M. 2017. A novel pan-Flavivirus detection and identification assay based on RT-qPCR and microarray. Biomed Res Int 2017:4248756.
80.
Moureau G, Temmam S, Gonzalez JP, Charrel RN, Grard G, de Lamballerie X. 2007. A real-time RT-PCR method for the universal detection and identification of flaviviruses. Vector Borne Zoonotic Dis 7:467–477.
81.
Sule WF, Oluwayelu DO. 2016. Analysis of Culex and Aedes mosquitoes in southwestern Nigeria revealed no West Nile virus activity. Pan Afr Med J 23:116.
82.
Long KC, Ziegler SA, Thangamani S, Hausser NL, Kochel TJ, Higgs S, Tesh RB. 2011. Experimental transmission of Mayaro virus by Aedes aegypti. Am J Trop Med Hyg 85:750–757.
83.
Cavrini F, Della Pepa ME, Gaibani P, Pierro AM, Rossini G, Landini MP, Sambri V. 2011. A rapid and specific real-time RT-PCR assay to identify Usutu virus in human plasma, serum, and cerebrospinal fluid. J Clin Virol 50:221–223.
84.
Eiden M, Vina-Rodriguez A, Hoffmann B, Ziegler U, Groschup MH. 2010. Two new real-time quantitative reverse transcription polymerase chain reaction assays with unique target sites for the specific and sensitive detection of lineages 1 and 2 West Nile virus strains. J Vet Diagn Invest 22:748–753.
85.
Jöst H, Bialonski A, Maus D, Sambri V, Eiden M, Groschup MH, Günther S, Becker N, Schmidt-Chanasit J. 2011. Isolation of usutu virus in Germany. Am J Trop Med Hyg 85:551–553.
86.
Klaus C, Hoffmann B, Hering U, Mielke B, Sachse K, Beer M, Süss J. 2010. Tick-borne encephalitis (TBE) virus prevalence and virus genome characterization in field-collected ticks (Ixodes ricinus) from risk, non-risk and former risk areas of TBE, and in ticks removed from humans in Germany. Clin Microbiol Infect 16:238–244.
87.
Nikolay B, Fall G, Boye CSB, Sall AA, Skern T. 2014. Validation of a structural comparison of the antigenic characteristics of Usutu virus and West Nile virus envelope proteins. Virus Res 189:87–91.
88.
Vlaskamp DR, Thijsen SF, Reimerink J, Hilkens P, Bouvy WH, Bantjes SE, Vlaminckx BJ, Zaaijer H, van den Kerkhof HH, Raven SF, Reusken CB. 2020. First autochthonous human West Nile virus infections in the Netherlands, July to August 2020. Euro Surveill 25:2001904.

Information & Contributors

Information

Published In

cover image Journal of Clinical Microbiology
Journal of Clinical Microbiology
Volume 63Number 131 January 2025
eLocator: e00910-24
Editor: Bobbi S. Pritt, Mayo Clinic Minnesota, Rochester, Minnesota, USA
PubMed: 39679671

History

Received: 17 June 2024
Accepted: 24 October 2024
Published online: 16 December 2024

Keywords

  1. external quality assessment
  2. EQA
  3. chikungunya virus
  4. zika virus
  5. dengue virus
  6. yellow fever virus
  7. Japanese encephalitis virus
  8. arbovirus
  9. orthoflavivirus
  10. alphavirus

Contributors

Authors

National Institute for Public Health and the Environment (RIVM), Center for Infectious Disease Control, Bilthoven, the Netherlands
Author Contributions: Formal analysis, Methodology, Project administration, Visualization, Writing – original draft, and Writing – review and editing.
Cécile Baronti
Unite des Virus Emergents (UVE: Aix-Marseille Univ, Universita di Corsica, IRD 190, Inserm 1207, IRBA), Marseille, France
Author Contributions: Investigation and Methodology.
National Institute for Public Health and the Environment (RIVM), Center for Infectious Disease Control, Bilthoven, the Netherlands
Author Contributions: Formal analysis, Methodology, and Writing – original draft.
Unite des Virus Emergents (UVE: Aix-Marseille Univ, Universita di Corsica, IRD 190, Inserm 1207, IRBA), Marseille, France
National Reference Center for Arboviruses, Inserm-IRBA, Marseille, France
Author Contributions: Methodology and Validation.
Central Virology Laboratory, Public Health Services, Ministry of Health and Sheba Medical Center, Ramat-Gan, Israel
Author Contribution: Validation.
Disease Programme Unit, European Centre for Disease Prevention and Control, Solna, Sweden
Author Contributions: Conceptualization and Resources.
National Institute for Public Health and the Environment (RIVM), Center for Infectious Disease Control, Bilthoven, the Netherlands
Author Contributions: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, and Writing – review and editing.
Unite des Virus Emergents (UVE: Aix-Marseille Univ, Universita di Corsica, IRD 190, Inserm 1207, IRBA), Marseille, France
Laboratoire des Infections Virales Aigues et Tropicales, AP-HM Hôpitaux Universitaires de Marseille, Marseille, France
Author Contributions: Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, and Writing – review and editing.
on behalf of EVD-LabNet

Editor

Bobbi S. Pritt
Editor
Mayo Clinic Minnesota, Rochester, Minnesota, USA

Notes

Chantal B. E. M. Reusken and Rémi N. Charrel contributed equally to this article.
The authors declare no conflict of interest.

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