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Molecular surveillance of arboviruses in Nigeria

Abstract

Arboviral infections are fast becoming a global public health concern as a result of its high fatality rate and sporadic spread. From the outbreak of Zika virus in the Americas, the endemicity of Yellow fever in West Africa and South America, outbreaks of West Nile virus in South Africa to the year-round and national risk of Dengue fever in Mainland China and India. The war against emerging and re-emerging viral infection could probably lead to the next pandemic. To be above the pending possible arboviral pandemic, consistent surveillance of these pathogens is necessary in every society. This study was aimed at conducting a surveillance for Yellow fever virus, Zika virus, Chikungunya virus, Dengue virus and Rift Valley fever virus in four states in Nigeria using molecular techniques. A cross-sectional study involving 1600 blood samples collected from febrile patients in Lagos, Kwara, Ondo and Delta States between 2018 and 2021 was conducted using Real time polymerase chain reaction for detection of the pathogens. Extraction and purification of viral RNA were done using Qiagen Viral RNA Mini Kit. Samples were analyzed using One Step PrimeScript III RT-PCR mix (Takara Bio) alongside optimized primers and probes designed in-house. Positive samples were sequenced on MinION platform (Nanopore technologies). Bioinformatic and phylogenetic analysis were performed with DNASTAR Lasergene 17.3. All the RNA extracted from samples collected from the four states were negative for ZIKV RNA, RVFV RNA, CHIKV RNA and DENV RNA. However, twelve of the samples (2%) tested positive for YFV RNA. Three full genomes of sizes 10,751 bp, 10,500 bp and 10,715 bp were generated and deposited in GenBank with accession numbers: ON323052, ON323053 and ON323054 respectively. Phylogenetic analysis shows clustering within lineage 3 of West African genotype. This result shows an active spread of Yellow fever in Delta State, Nigeria. However, there is no emergence of a new genotype There is a need for an intense surveillance of Yellow fever virus in Nigeria to avert a major outbreak.

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Introduction

Arboviruses are arthropod or insect-borne viruses classified under four major families: Bunyaviridae, Togaviridae, Flaviviridae and Reoviridae. Examples are; Yellow fever virus (YFV), Zika Virus (ZIKV) and Dengue virus (DENV) {the three belong to the family Flaviviridae}; Chikungunya virus (CHIKV) {belongs to Togaviridae family}; Rift valley fever virus (RVFV) and Crimean Congo Haemorrhagic Fever Virus (CCHFV) {both belong to Bunyaviridae family}. The incubation period varies from virus to virus, but is usually limited between 2 and 15 days for arboviruses [1]. The most common clinical features of infection are fever, headache, and malaise, but encephalitis and viral hemorrhagic fever may also occur [2].

The arboviruses spread mainly through insect bites with the most common been mosquito. It is reported that the viruses can also spread through: blood transfusion, organ transplant, sexual contact, pregnancy and childbirth from mother to child [3,4,5,6]. On a global scope, dengue virus may be the most challenging, infecting 100 to 390 million people and leading to 12,500 deaths per year [7]. Zika virus has been implicated in complications such as Guillain-Barre syndrome and other neurological disorders in adults, microcephaly, severe brain malformations, and other birth defects [8]. In November 2020, NCDC reported an outbreak of Yellow Fever in Delta State. Out of 48 suspected cases, 30 deaths (CFR 62.5%) were recorded [9].

The emergence and re-emergence of these infections have been hinged of factors such as urbanization and rapid population growth which results in human crowding, higher waste generation, and provision of conducive environment for the thriving of vectors of these viruses. In addition, human-human transmission has been aided by rapid rise in movement of people from one country to another. In most rural areas in Nigeria, screening for infections or disease manifestation with febrile feelings are limited to either malaria and/or typhoid. In cases where the results come out negative for these pathogens, there are no further screenings for possible viral infections. The patients whose immune systems were able to fight the infection survive and those who could not die. This kind of death has been tagged as “mysterious” death superstitiously.

In Nigeria and other low-income countries, there is paucity of information on molecular characterization of these viruses as a result of limited researches. Most often, because of fund limitations, studies are restricted only to serological studies to investigate the level of exposure of people to these viruses. However, serological techniques are limited with respect to detection of active infection, tracking of strains in circulation, identifying mutations and their possible effect on vaccines, drugs and diagnostics. Hence, this study was aimed at conducting surveillance for Zika, Yellow, Rift Valley, Dengue and Chikungunya viruses in Nigeria using molecular methods.

Materials and methods

Ethical consideration

The ethical approval (IRB-17-049) for this studied was obtained from Institutional Review Board of Nigerian Institute of Medical Research (NIMR), Yaba. Informed consents were sought from the participants by them filling the informed consent form and understood what the project is all about. Personal details of the participants were delinked from this study. At the site of sample collection, the ethical approval obtained from NIMR -IRB was presented to the authority in-charge of the hospital for approval to collect samples. The information gathered from participants were kept confidential. Their names were delinked from the outcome of the research on their samples.

Study design/area

This is a cross sectional study aimed at molecular detection and characterization of some arboviruses among febrile patients. The samples were collected from hospitals in Delta State, Lagos State, Ondo State and Kwara State. Lagos and Ondo State are in the South Western part of Nigeria, Kwara State is in the North Central and Delta State in the South Southern part. The choice of these states was on the previous records of arboviral infections reported by researchers and Nigerian Centre for Disease prevention and Control (NCDC) and a chance of higher effect if there is an outbreak of any of these viruses. In Delta state, the samples were collected from Ika North-East LGA, in Lagos, from Alimosho, Shomolu, Isolo, Surulere and Gbagada general hospitals, in Ondo, from Federal medical centre, Owo; in Kwara, from Ilorin West LGA. These hospitals are where most of referrals in the states are taken to. People from both urban and rural parts of the states visit the hospitals where samples were collected, however, majority of the participants are from a semi-urban settlement. Participants’ demographic information (age and gender) were also collected.

Sample collection/processing

A total of 1600 blood samples were collected from febrile patients who attended the health centres under sampling for treatment in the period between 2018 and 2021 using a simple convenience sampling method. The samples were collected in 10 millilitres EDTA vacutainer tubes, and transported to the laboratories in the various states for separation. Plasma were then transported in triple package to Centre for Human Virology and Genomics (ISO 15,189 accredited), Nigerian Institute of Medical Research, Yaba, Lagos state, Nigeria for storage at -80oC and further processing.

RNA EXTRACTION

The viral RNA were extracted using Viral RNA + DNA preparatory kit (Jena Biosciences, Germany) in accordance to the manufacturers’ instructions.

RT-qPCR amplification

One-step reverse transcriptase (RT) real-time (qPCR) was carried out to detect the pathogens in a single run for each of the viruses using optimized primers and probes (Table 1). A total volume of 25ul containing: 12.5 ul One-Step PrimeScript mix (Takara bio, France), 0.8ul each for forward and reverse primers, 0.6ul for probe, 5.3ul for Rnase free water and 5ul of RNA template was ran on Quant Studio 5 (Applied Biosystems) as follows: 52 °C for 10 min, 95 °C for 10 s, then 45 cycles of 95oC for 5s and 56oC for 45s.

Table 1 Primers and probes for the detection of selected arboviruses

cDNA SYNTHESIS AND MULTIPLEX PCR

Synthesis of highly structured and long cDNA fragments was performed using SCRIPT cDNA Synthesis Kit (Jena Bioscience, GmbH, Germany) according to the manufacturer’s instructions. To enhance the amplicon yield and to concentrate amplifications along the multiple primers, a multiplex PCR was conducted using the pairs of in-house designed primers in (Table 2) (designed from conserved regions using Oligo Primer Analysis Software v.7). In the PCR process, a total volume of 20ul of reaction mix was prepared with; 3.7ul of nuclease-free water, 0.05ul of primers (Table 2), 6.25ul of Q5 HS PCR mix and 10ul of cDNA each for pool 1 and pool 2 using the cycling condition of 98oC for 30 s, 35 cycles of 98oC for 15 s and 65oC for 5 min, and 4oC for infinity on MiniAmp plus thermal cycler by Thermofischer scientific.

Table 2 Comparison of percentage identity of consensus sequences with YFV whole genome sequences of Nigerian origin mined from NCBI

MinION sequencing

Sequencing run was carried out on MinION (Nanopore Technology) using a procedure that was developed by Quick et al., 2017 to sequence whole genome of Zika virus during 2016 outbreak. Using the pipeline, 35 pairs of primers (Table 3) were generated to cover the whole length of YFV, the primers were pooled with the odd numbers in one tube and the even number in the other. The pooled primers were used in multiplex PCR as stated earlier to generate amplicons with respect to each pair of the primer used in the pools. The amplicons from both pools were then pooled together to serve as the DNA template for the library preparation for sequencing. The library preparation was carried out using SQK-RBK110-96 kit with a flow cell (FLO-MIN106) following kit manufacturer’s instructions which entails four basic processes: multiplex PCR, barcoding of samples, pooling of samples and clean up, and priming and loading of flow cell.

Table 3 List of primers used for sequencing

Sequence assembly

The fastQ files were copied and analyzed using DNASTAR Lasergene v.17.3 software. The assemblage was carried out relative to the reference strain. Base calling for variant analysis was carried out at Qcall = 30% and minimum depth coverage of 5.

Phylogenetic analysis

Forty-one (41) sequences of YFV which cut across the already identified genotypes across Africa were mined from NCBI GenBank database and aligned alongside the consensus sequences (ON323052, ON323053 and ON323054) assembled from this study, using MAFFT vs7.1 Alignment software. Phylogenetic tree was constructed using same software by applying Neighbor-joining method [13] and Jukes-cantor model with Bootstrap resampling at 1000. The tree was viewed on archaeopteryx.js software and downloaded on Newick.

Results

Out of the 1600 samples analyzed, 450(28%) were collected from Lagos State, 400(25%) from Delta State, 400(25%) from Kwara State, and 350(22%) from Ondo State. Averagely, 480(30%) were males while 1120(70%) were females. RT-qPCR analysis of all the RNA extracted from samples collected from the four states were negative for ZIKV RNA, RVFV RNA, CHIKV RNA and DENV RNA. However, twelve of the samples (0.75%) (when compared with the total number of samples screened across the four states) tested positive for YFV RNA (Ct values: 32–38) while others where negative for YFV RNA. The twelve positive samples were from Delta state. Of the positive samples, 10(83.3%) are males while 2(16.7%) are females within the age range of 20–29 years. Clinical symptoms observed among cases that tested positive for YFV RNA were: jaundice (58.3%), body pain (75%), fever above 38oC (100%), vomiting (75%), bleeding from nose, gums and eyes (25%). However, majority of the participants from Delta state had general body pains, fever, headache and vomiting but tested negative for all the viruses. None of the samples tested positive for two or more pathogens analyzed though they all share common vector.

Sequencing

Sequencing was performed on three samples out of the twelve positives. These three samples had the lowest ct values (< 30) and also the ones that showed bands on gel after conventional PCR. In addition, two of the participants from which the samples were collected had severe manifestations of bleeding from the orifices in addition to the other symptoms which were common to the rest. (Table 2). Sequencing was run for 19 h and 14 min, one million and fifty thousand (1.05 M) reads were generated with a total passed bases of 136.44 Mb out of an estimated 363.35 Mb (37.5%). The quality score for the base calling was around the 75% quartile.

Sequence assembly

The assembled sequences were successfully deposited in NCBI public database and have been assigned the following accession numbers: ON323052, ON323053 and ON323054 for sample codes YFV-1, YFV-2 and YFV-3 with sizes 10,751 bp, 10,500 and 10,715 bp respectively. The percentage identity of ON323052, ON323053 and ON323054 relative to NC_002031.1 are 98.33%, 98.54% and 97.98% respectively. Comparison of percentage identities of the consensus sequences with other full genome sequences of Nigerian origin on NCBI is summarized on Table 2.

Phylogenetic analysis

Analysis of the consensus strains alongside other sequences generated across West Africa showed a clustering around Lineage 3 of the West African genotype. They revealed close relationship with other strains from Senegal (JX898871, JX898872) (Fig. 1). Figure 2, phylogeny analysis indicated that the three new consensus sequences are different strains for the previously identified ones. It showed that ON323053 and ON323054 are more closely related relative to ON323052.

Fig. 1
figure 1

Phylogenetic analysis of the consensus sequences (ON323052, ON323053, ON323054) in relation to other sequences across West Africa

Fig. 2
figure 2

Phylogenetic analysis of the consensus sequences (ON323052, ON323053, ON323054) in relation to other whole genome sequences across Nigeria mined from NCBI. It shows a relatively different strain from the previous ones

Discussion

The threat from infections of arboviral origin are fast becoming a global concern. Most infections that were at a time localized are beginning to spread out to several nations of the world and hence becoming global threat to World Health Organization and other national health organizations. In the list of WHO priority diseases, arboviral infections are of majority. In Nigeria, Nigeria Centre for Disease Control (NCDC) has highlighted mosquito-borne infections arising from viruses such as Yellow fever, Dengue, Chikungunya, Rift Valley fever and other viral haemorrhagic fever viruses as emerging diseases of concern and under surveillance. Of the infections from these viruses, yellow fever, a disease caused by yellow fever virus has been a consistent concern with sporadic outbreak yearly. Serological evidence of these viruses has been recorded in previous studies conducted in some states across the country with seroprevalences of 16.4–32.4% [14,15,16] for CHIKV; 21.5% [17] for RVFV; 11.1–50% [18,19,20] for YFV and 2-55.6% [18, 20,21,22]. However, there is limited molecular information on these virus neccesiating this molecular surveillance study to investigate the real time true burden of these infections (which most times have been misdiagnosed) within Nigeria. The PCR results from the screening of the viruses in this study signifies that as at the period the samples were collected, there were no active spread of Zika, Chikungunya, Dengue and Rift valley fever viruses in the four states sampled. Although the individuals whose samples were analyzed had fever, it could be deduced that the fever did not arise from these viral infections. Also knowing that the viruses are RNA viruses, mode of sample storage before and during transportation is important to maintaining the integrity of the RNA. Furthermore, it could imply that the participants were already at the recovery phase of the infection and as such; viral loads below the limit of detection of the assays.

However, 12(0.75%) of the total number of samples collected from the four states tested positive for YFV. This samples were all from Delta state implying an active prevalence of 3% of the population from the state. This signified an active spread of yellow fever in Delta state which agreed with the fact that Delta state has being endemic for yellow fever in the past few years as reported by NCDC and WHO [9]. Environmental conditions of the residential areas could play a role in nurturing vectors; usually, people living in rural areas where there are bushes, stagnant bodies of water, untidy dark spot at corners and limited access to the use of insecticides and mosquito nets are more exposed to mosquito bite and consequently, a higher chance of coming down with fever. Although fever as a symptom is not only limited to mosquito bites, however, in Africa, most fever cases could be attributable to mosquito bite. Narrowing down to Delta state, it could be deduced that regular exposure to mosquito especially of the Aedes sp which is the vector of YFV, is a predisposing factor to being infected with the virus which could manifest in fever. Apart from fever, other symptoms such as jaundice (58.3%), general body pains (75%), bleeding from nose, gum and eyes (25%), headache (75%) and vomiting (75%) reported among the participants are clear signs of probable active spread of YFV in these communities. The negative samples recorded within the same communities pointed to a possibility that at the time of sample collection, some of the patients have shed the virus and the viral was no longer at the level to be detected.

This study also reported a higher prevalence of active YFV infection among males (83.3%) than females (16.7%) in Delta state. This could be as a result of certain habits of males such as farming and hunting in bushes, staying out late in the dark and exposure of their bodies while sleeping [16]. These habits predispose them to regular mosquito bites and human-human transmission of infections.

Furthermore, the clustering of the sequences around lineage 3 (around strains from Senegal (JX898872 & JX898871) is contrary to previous reports of the circulation of lineage 1 and lineage 5 in Nigeria [23]. This could be a possible hint of the route or source of infection and possible gradual emergence of a sub-lineage.

Despite the clustering around a lineage that is not usual in previous reports in Nigeria, there is no sign of emergence of a new genotype of YFV circulating in Delta state from this study.

Conclusion

This study has revealed that there is currently no active circulation of DENV, ZIKV, CHIKV and RVFV in the four states where the study was conducted. However, it reported an active spread of YFV of Lineage 3 in Delta state which is a deviation from the regular lineages previously identified in Nigeria. There is a possibility of a future sub-lineage emerging.

Recommendation

In order to effectively prevent, control or manage disease outbreak, routine surveillance is required to investigate levels of exposure and active infection with the population. There is a need for further studies to track the origin of the lineage 3 of the virus in circulation. On the national level, a nationwide surveillance of these viral pathogens across Nigeria to understand the true burden is necessary for effective management of febrile cases.

Data Availability

Sequences data generated from this study are available in NCBI GenBank with accession numbers: ON323052, ON323053 and ON323054. The sequences are attached as supplementary documents.

Abbreviations

DENV:

Dengue virus

CHIKV:

Chikungunya virus

RVFV:

Rift valley fever virus

YFV:

Yellow fever virus

ZIKV:

Zika virus

NCDC:

Nigerian Centre for Disease prevention and control

WHO:

World health organization

References

  1. Mostashari F, Bunning ML, Kitsutani PT, Singer DA, Nash D, Cooper MJ, Katz N et al. “Epidemic West Nile encephalitis, New York, 1999: results of a household-based seroepidemiological survey.“ The lancet 358, no. 9278 (2001): 261–264.

  2. Stephen. Arbovirus Infection Symptoms; 2013.

  3. Tambyah PA, Evelyn SC, Koay, Michelle LM, Poon RVTP. Lin, and Benjamin KC Ong. “Dengue hemorrhagic fever transmitted by blood transfusion. N Engl J Med. 2008;359(14):1526–7.

    Article  CAS  PubMed  Google Scholar 

  4. Iwamoto M, Jernigan DB, Guasch A, Trepka MJ, Blackmore CG, Hellinger WC, Si M, Pham, et al. Transmission of West Nile virus from an organ donor to four transplant recipients. N Engl J Med. 2003;348(22):2196–203.

    Article  PubMed  Google Scholar 

  5. Teo D, Ng LC, Lam S. Is dengue a threat to the blood supply. Transfus Med. 2009;19(2):66–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Petersen EE, Meaney-Delman D, Neblett-Fanfair R, Havers F, Oduyebo T, Hills SL, Ingrid B, Rabe, et al. Update: interim guidance for preconception counseling and prevention of sexual transmission of Zika virus for persons with possible Zika virus exposure—United States, September 2016. Morb Mortal Wkly Rep. 2016;65(39):1077–81.

    Article  Google Scholar 

  7. Ann Pietrangelo. : What is Arbovirus and How it is Treated, 2017.

  8. Oyefolu AO, Bola JO, Shaibu, Abdul-Azeez A, Anjorin, Kabiru O. Akinyemi. “A REVIEW ON THE STATE OF ZIKA VIRUS IN NIGERIA.“ (2018).

  9. WHO., https://www.who.int/emergencies/disease-outbreak-news/item/2020-DON299.

  10. Faye O, Freire CCM, Iamarino A, Faye O, Velasco J, de Oliveira C. Mawlouth Diallo, Paolo MA Zanotto, and Amadou Alpha Sall. “Molecular evolution of Zika virus during its emergence in the 20th century. PLoS Negl Trop Dis. 2014;8(1):e2636.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Mwaengo D, Lorenzo G, Iglesias J, Warigia M, Sang R, Bishop RP, Brun A. “Detection and identification of Rift Valley fever virus in mosquito vectors by quantitative real-time PCR.“ Virus research 169, no. 1 (2012): 137–143.

  12. Lanciotti RS, Olga L, Kosoy, Janeen J, Laven, Amanda J, Panella JO, Velez AJ, Lambert, Grant L. Campbell. “Chikungunya virus in US travelers returning from India, 2006.“ Emerging infectious diseases 13, no. 5 (2007): 764.

  13. Saitou N. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4(4):406–25.

    CAS  PubMed  Google Scholar 

  14. Kolawole O, Matthew KE, Bello. Adetola Adebimpe Seriki, and Ahmad Adebayo Irekeola. “Serological survey of chikungunya virus in Ilorin metropolis, Nigeria. Brazilian J Infect Dis. 2017;21:365–6.

    Article  Google Scholar 

  15. Olajiga OM, Olajumoke E, Adesoye, Adewale P, Emilolorun, Abiodun J, Adeyemi EO, Adeyefa IA, Aderibigbe, Salmot A, Adejumo, et al. Chikungunya virus seroprevalence and associated factors among hospital attendees in two states of southwest Nigeria: a preliminary assessment. Immunol Investig. 2017;46(6):552–65.

    Article  Google Scholar 

  16. Omatola CA, Onoja BA, Peter K, Fassan SA, Osaruyi M, Iyeh MA, Samuel, Peace U. Haruna. “Seroprevalence of chikungunya virus infection in five hospitals within Anyigba, Kogi State of Nigeria. Brazilian J Infect Dis. 2020;24(1):1–6.

    Article  Google Scholar 

  17. Kolawole OM, Ajibola O, Ayodeji, Jeremiah I, Ogah. Prevalence of Rift Valley fever virus in febrile malaria patients using serological and molecular-based evidence. Annals of Science and Technology. 2018;3(1):1–6.

    Article  Google Scholar 

  18. Fagbami AH. Zika virus infections in Nigeria: virological and seroepidemiological investigations in Oyo State. Epidemiol Infect. 1979;83(2):213–9.

    CAS  Google Scholar 

  19. Kolawole O, Matthew AA, Irekeola AA, Seriki, Kizito Eneye Bello. Investigation of risk factors associated with malaria and yellow fever coinfection among febrile patients in Ilorin, Nigeria. J Med Soc. 2018;32(1):33.

    Article  Google Scholar 

  20. Oluwole T, Fowotade A, Mirchandani D, Almeida S, Plante KS, Weaver S, Bakare R. Seroprevalence of some arboviruses among pregnant women in Ibadan, Southwestern, Nigeria. Int J Infect Dis. 2022;116:130.

    Article  Google Scholar 

  21. Anejo-Okopi J, Gotom DY, Chiehiura NA, Okojokwu JO, Amanyi DO, Egbere JO, Adetunji J, Ujah OI, Audu O. The seroprevalence of zika virus infection among HIV positive and HIV negative pregnant women in Jos. Nigeria " Hosts Viruses. 2020;7:129–36.

    CAS  Google Scholar 

  22. Shaibu J, Ojonugwa AP, Okwuraiwe AbdulRoqeeb, Jakkari A, Dennis KO, Akinyemi J, Li RA, Audu, Akeeb O. Bola Oyefolu. “Sero-molecular prevalence of Zika Virus among pregnant women attending some Public Hospitals in Lagos State, Nigeria. Eur J Med Health Sci. 2021;3(5):77–82.

    Google Scholar 

  23. Mutebi J-P, Wang H, Li L, Bryant JE, Alan DTB. Phylogenetic and evolutionary relationships among yellow fever virus isolates in Africa. J Virol. 2001;75(15):6999–7008.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

I want to acknowledge the members of staff of both Department of Microbiology, Lagos state University, Ojo and Centre for Human Virology and Genomics, Nigerian Institute of Medical Research, Yaba for their support in getting this work done. Also, I want to appreciate Prof Li Jiandong of VHF department, China CDC for his support.

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Conceptualization - All authorsMethodology - ShaibuSupervision - Oyefolu, Akinyemi and AuduManuscript writing - ShaibuReview of manuscript - all authors.

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Correspondence to Joseph Ojonugwa Shaibu.

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The authors declare no competing interests.

Ethical approval

and consent to participate: Ethical approval was obtained from Nigerian Institute of Medical Research Institutional Review Board (IRB-17-049). Also, approvals were obtained from the management of each of the hospitals where samples were collected from with consent forms signed by the participants after the purpose of the study was explained to them. These consents from participants were informed and their personal details delinked from this study. All methods in the course of this study were carried out according to the guidelines and regulations by the IRB, various hospital managements and best laboratory practices.

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Shaibu, J.O., Akinyemi, K.O., Uzor, O.H. et al. Molecular surveillance of arboviruses in Nigeria. BMC Infect Dis 23, 538 (2023). https://doi.org/10.1186/s12879-023-08526-z

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