Chikungunya Outbreak Research Articles

Integrated control strategies for dengue, Zika, and Chikungunya virus infections.

Arboviruses are a major threat to public health in tropical regions, encompassing over 534 distinct species, with 134 capable of causing diseases in humans. These viruses are transmitted through arthropod vectors that cause symptoms such as fever, headache, joint pains, and rash, in addition to more serious cases that can lead to death. Among the arboviruses, dengue virus stands out as the most prevalent, annually affecting approximately 16.2 million individuals solely in the Americas. Furthermore, the re-emergence of the Zika virus and the recurrent outbreaks of chikungunya in Africa, Asia, Europe, and the Americas, with one million cases reported annually, underscore the urgency of addressing this public health challenge. In this manuscript we discuss the epidemiology, viral structure, pathogenicity and integrated control strategies to combat arboviruses, and the most used tools, such as vaccines, monoclonal antibodies, treatment, etc., in addition to presenting future perspectives for the control of arboviruses. Currently, specific medications for treating arbovirus infections are lacking, and symptom management remains the primary approach. However, promising advancements have been made in certain treatments, such as Chloroquine, Niclosamide, and Isatin derivatives, which have demonstrated notable antiviral properties against these arboviruses in vitro and in vivo experiments. Additionally, various strategies within vector control approaches have shown significant promise in reducing arbovirus transmission rates. These encompass public education initiatives, targeted insecticide applications, and innovative approaches like manipulating mosquito bacterial symbionts, such as Wolbachia. In conclusion, combatting the global threat of arbovirus diseases needs a comprehensive approach integrating antiviral research, vaccination, and vector control. The continued efforts of research communities, alongside collaborative partnerships with public health authorities, are imperative to effectively address and mitigate the impact of these arboviral infections on public health worldwide.

Phylogenetic analysis of Aedes species distributed in Taif Province, Saudi Arabia, based on mitochondrial COX1 sequences

AbstractAs Aedes mosquitoes are the predominant carriers of arboviruses responsible for global dengue fever and chikungunya outbreaks, understanding their genetic diversity and population structure can enhance dengue prevention and vector control efforts. Although sympatric cryptic species have been acknowledged in Aedes species subgroups in Southeast Asia, little information is available regarding the occurrence and dispersal of cryptic Aedes species in Saudi Arabia. In the present investigation, we intend to analyze genetic variations and perform a phylogenetic study of sympatric Aedes samples collected from various locations in Taif Province, Saudi Arabia. The locus of mitochondrial DNA cytochrome c oxidase subunit 1 (COX1, analyzed with DNA barcoding) was utilized to determine genetic variance and to build phylogenetic trees. For species identification, the COX1 sequences of Aedes samples from Taif Province were compared with those of Aedes samples from GenBank (National Center for Biotechnology Information, NCBI). To identify phylogenetic relationships and genetic variability, phylogenetic trees were created using Taif Province samples, GenBank A. albopictus samples, and GenBank A. aegypti samples. The phylogenetic analysis revealed that some Taif samples (A3, A7, F2, F4, F1, A4, A1, F9 and F6) were closer to A. aegypti and A. albopictus samples from Africa and East Asia, especially Kenya and Malaysia. Whereas other samples (F9, F6, A4, F1 and A1) were closer to the GenBank A. aegypti samples KP843383 (Thailand), HM399357(Australia), MK533632 (Kenya), KX420460 (Kenya), KU495081 (Australia) and MF179160 (China) than the remaining Taif samples. Overall, our findings demonstrate that examining the genetic diversity and phylogenetic linkages of Aedes samples can aid in understanding the evolution of Aedes cryptic species in the western regions of Saudi Arabia.

Temephos resistance levels in populations of Aedes aegypti (Diptera: Culicidae) from Havana, Cuba

Aedes aegypti chemical control remains an indispensable alternative to prevent dengue, Zika, and Chikungunya outbreaks. Havana City requires constant surveillance due to its bioecological characteristics favor the proliferation of mosquito vectors of these diseases, which constitutes a high risk to the health of its inhabitants. The goal of this study was to determine temephos resistance levels in the populations of Ae. aegypti from five municipalities of Havana. The susceptibility of the larvae was evaluated by bioassays described by the World Health Organization. Aedes aegypti populations evaluated showed high resistance to temephos, with values that oscillated for the FR50 between 26,8 and 82,5 and for the FR90 between 16,6 and 42,5 respectively. The National Control Program of Aedes aegypti in Cuba must promote insecticide rotation policies to avoid or prevent the evolution of temephos resistance in Havana. In addition, an evaluation of the Abate doses applied by the operators in the municipalities studied must be carried out, since this could be influencing resistance development due to operational factors.

Viral RNA in Mosquitoes (Diptera: Culicidae) Collected between 2019 and 2021 in Germany.

Due to globalisation and climate change, mosquito-borne pathogens are emerging in new areas on all continents, including Europe, which has recently faced outbreaks of dengue, chikungunya and West Nile fever. The present study complements previous investigations to evaluate the circulation of mosquito-borne viruses in Germany, with the aim of identifying potential vector species and risk areas. Mosquitoes collected from 2019 to 2021 and identified to species or species group level were screened for viruses of the families Flaviviridae, Peribunyaviridae and the genus Alphavirus of the family Togaviridae. In total, 22,528 mosquitoes were examined, thus providing the most comprehensive study on West Nile virus (WNV) circulation so far in the German mosquito population. Usutu virus (USUV) RNA was detected in six samples, Sindbis virus (SINV) RNA in 21 samples and WNV RNA in 11 samples. Samples containing RNA of USUV and WNV consisted of mosquitoes collected in the East German federal states of Brandenburg, Saxony and Saxony-Anhalt, while samples with RNA of SINV originated from more widespread locations. Although minimum infection rates have remained relatively low, the intensity of virus circulation appears to be increasing compared to previous studies. Continuous mosquito screening contributes to the early detection of the introduction and spread of mosquito-borne pathogens.

Model-based estimates of chikungunya epidemiological parameters and outbreak risk from varied data types

Assessing the factors responsible for differences in outbreak severity for the same pathogen is a challenging task, since outbreak data are often incomplete and may vary in type across outbreaks (e.g., daily case counts, serology, cases per household). We propose that outbreaks described with varied data types can be directly compared by using those data to estimate a common set of epidemiological parameters. To demonstrate this for chikungunya virus (CHIKV), we developed a realistic model of CHIKV transmission, along with a Bayesian inference method that accommodates any type of outbreak data that can be simulated. The inference method makes use of the fact that all data types arise from the same transmission process, which is simulated by the model. We applied these tools to data from three real-world outbreaks of CHIKV in Italy, Cambodia, and Bangladesh to estimate nine model parameters. We found that these populations differed in several parameters, including pre-existing immunity and house-to-house differences in mosquito activity. These differences resulted in posterior predictions of local CHIKV transmission risk that varied nearly fourfold: 16% in Italy, 28% in Cambodia, and 62% in Bangladesh. Our inference method and model can be applied to improve understanding of the epidemiology of CHIKV and other pathogens for which outbreaks are described with varied data types.

Reporting delays of chikungunya cases during the 2017 outbreak in Lazio region, Italy.

Emerging arboviral diseases in Europe pose a challenge due to difficulties in detecting and diagnosing cases during the initial circulation of the pathogen. Early outbreak detection enables public health authorities to take effective actions to reduce disease transmission. Quantification of the reporting delays of cases is vital to plan and assess surveillance and control strategies. Here, we provide estimates of reporting delays during an emerging arboviral outbreak and indications on how delays may have impacted onward transmission. Using descriptive statistics and Kaplan-Meyer curves we analyzed case reporting delays (the period between the date of symptom onset and the date of notification to the public health authorities) during the 2017 Italian chikungunya outbreak. We further investigated the effect of outbreak detection on reporting delays by means of a Cox proportional hazard model. We estimated that the overall median reporting delay was 15.5 days, but this was reduced to 8 days after the notification of the first case. Cases with symptom onset after outbreak detection had about a 3.5 times higher reporting rate, however only 3.6% were notified within 24h from symptom onset. Remarkably, we found that 45.9% of identified cases developed symptoms before the detection of the outbreak. These results suggest that efforts should be undertaken to improve the early detection and identification of arboviral cases, as well as the management of vector species to mitigate the impact of long reporting delays.

The 2013 Chikungunya outbreak in the Caribbean was structured by the network of cultural relationships among islands.

In 2013, the Caribbean underwent an unprecedented epidemic of Chikungunya that affected 29 islands and mainland territories throughout the Caribbean in the first six months. Analysing the spread of the epidemic among the Caribbean islands, we show that the initial patterns of the epidemic can be explained by a network model based on the flight connections among islands. The network does not follow a random graph model and its topology is likely the product of geo-political relationships that generate increased connectedness among locations sharing the same language. Therefore, the infection propagated preferentially among islands that belong to the same cultural domain, irrespective of their human and vector population densities. Importantly, the flight network topology was also a more important determinant of the disease dynamics than the actual volume of traffic. Finally, the severity of the epidemic was found to depend, in the first instance, on which island was initially infected. This investigation shows how a simple epidemic model coupled with an appropriate human mobility model can reproduce the observed epidemiological dynamics. Also, it sheds light on the design of interventions in the face of the emergence of infections in similar settings of naive subpopulations loosely interconnected by host movement. This study delves into the feasibility of developing models to anticipate the emergence of vector-borne infections, showing the importance of network topology, bringing valuable methods for public health officials when planning control policies. Significance statement: The study shows how a simple epidemic model associated with an appropriate human mobility model can reproduce the observed epidemiological dynamics of the 2014 Chikungunya epidemic in the Caribbean region. This model sheds light on the design of interventions in the face of the emergence of infections in similar settings of naive subpopulations loosely interconnected by the host.

Metagenomic analysis of coastal Kenya female Aedes aegypti mosquito RNA metaviromes reveal presence of diverse insect specific viruses

Background: Coastal Kenya has experienced repeated outbreaks of Chikungunya (CHIKV) and Dengue (DENV) viruses mediated by competent Aedes aegypti mosquito populations. These mosquitoes harbor insect specific viruses (ISVs), some of which can prevent arboviral transmission. However, there has been no systematic molecular entomological surveillance in coastal Kenya and the diversity of viruses in local Aedes aegypti populations remains largely unknown. Methods: To obtain a snapshot of the Aedes aegypti viromes from coastal Kenya, we took advantage of a cross-sectional survey of mosquitoes to determine the prevalence of Zika virus. We collected adult mosquitoes using lured Biogent’s sentinel traps at 16 different localities along the Kenyan coast between May to September 2017. Pools of 20 female Aedes aegypti mosquitoes were generated following grouping by morphological characteristics. Presence of arboviruses in the mosquito pools was determined using virus-specific and genera-specific primers with real-time PCR. Metagenomic next generation sequencing (mNGS) on Illumina Miseq and analysis was used to characterize the virome. Results: A total of 16,520 female Aedes aegypti grouped into 826 pools were analysed. Flaviviruses were detected in 69/826 (8.4%) pools by real time PCR. Sequencing generated 8,459/971,754 (0.87%) clean reads that were taxonomically assigned to 16 and 28 viral families and species, respectively. The family Phenuiviridae represented by Phasi Charoen-like phasivirus (PCLV) species was the most abundant, detected in 64/73 (87%) mosquito pools. No pathogenic viruses were identified by mNGS. Phylogenetic analysis revealed local PCLV and Cell fusing agent virus (CFAV) were distinct from global sequences. Conclusions: Our data provides information about virus diversity and composition of the Aedes aegypti mosquitoes from coastal Kenya and contributes to the body of knowledge of the Aedes aegypti virome. To the best of our knowledge, this is the first study to provide this information from this region.

Chikungunya outbreak in Africa: a review of the literature.

Data were collected from medical journals published on Pubmed and Google Scholar, and from the official World Health Organisation, African and United States of America's Centres for Disease Control and Prevention websites. All articles considering CHIKV in Africa, including epidemiology, aetiology, prevention and management, were sought after. Since 2015, the number of Chikungunya cases in Africa has increased, reaching the highest values ever recorded, especially in 2018 and 2019. Even though numerous vaccination and therapeutic intervention trials are still ongoing, no advancement has been made so far, including drug approval. Current management is supportive, with preventative measures, such as insecticides, repellents, mosquito nets and habitat avoidance, paramount to halting disease spread. In light of the recent CHIKV outbreak in Africa, local and global attempts are re-emerging to mitigate the eruption of the case of the lack of vaccines and antivirals, controlling the virus may be an arduous feat. Improving risk assessment, laboratory detection and research facilities should be a priority.

Susceptibility of Aedes albopictus, Ae. aegypti and human populations to Ross River virus in Kuala Lumpur, Malaysia.

Emerging arboviruses such as chikungunya and Zika viruses have unexpectedly caused widespread outbreaks in tropical and subtropical regions recently. Ross River virus (RRV) is endemic in Australia and has epidemic potential. In Malaysia, Aedes mosquitoes are abundant and drive dengue and chikungunya outbreaks. We assessed risk of an RRV outbreak in Kuala Lumpur, Malaysia by determining vector competence of local Aedes mosquitoes and local seroprevalence as a proxy of human population susceptibility. We assessed oral susceptibility of Malaysian Ae. aegypti and Ae. albopictus by real-time PCR to an Australian RRV strain SW2089. Replication kinetics in midgut, head and saliva were determined at 3 and 10 days post-infection (dpi). With a 3 log10 PFU/ml blood meal, infection rate was higher in Ae. albopictus (60%) than Ae. aegypti (15%; p<0.05). Despite similar infection rates at 5 and 7 log10 PFU/ml blood meals, Ae. albopictus had significantly higher viral loads and required a significantly lower median oral infectious dose (2.7 log10 PFU/ml) than Ae. aegypti (4.2 log10 PFU/ml). Ae. albopictus showed higher vector competence, with higher viral loads in heads and saliva, and higher transmission rate (RRV present in saliva) of 100% at 10 dpi, than Ae. aegypti (41%). Ae. aegypti demonstrated greater barriers at either midgut escape or salivary gland infection, and salivary gland escape. We then assessed seropositivity against RRV among 240 Kuala Lumpur inpatients using plaque reduction neutralization, and found a low rate of 0.8%. Both Ae. aegypti and Ae. albopictus are susceptible to RRV, but Ae. albopictus displays greater vector competence. Extensive travel links with Australia, abundant Aedes vectors, and low population immunity places Kuala Lumpur, Malaysia at risk of an imported RRV outbreak. Surveillance and increased diagnostic awareness and capacity are imperative to prevent establishment of new arboviruses in Malaysia.

Live-attenuated Chikungunya vaccine: a possible new era

Chikungunya virus is a mosquito-borne pathogen that causes periodic explosive outbreaks of chikungunya, an illness characterised by severe polyarthralgia and myalgia that can progress to chronic debilitating rheumatic disease. 1 Bartholomeeusen K Daniel M LaBeaud DA et al. Chikungunya fever. Nat Rev Dis Primers. 2023; 9: 17 Crossref PubMed Scopus (0) Google Scholar The pandemic potential of chikungunya virus was best exemplified in 2013, when a major outbreak in South America led to over 1 million infections in a matter of months. 2 Zeller H Van Bortel W Sudre B Chikungunya: its history in Africa and Asia and its spread to new regions in 2013–2014. J Infect Dis. 2016; 214: S436-S440 Crossref PubMed Scopus (22) Google Scholar The pooled incidence of post-chikungunya chronic articular symptoms in the Americas was 52% in studies done between 2014 and 2018, 3 Edington F Varjão D Melo P Incidence of articular pain and arthritis after chikungunya fever in the Americas: a systematic review of the literature and meta-analysis. Joint Bone Spine. 2018; 85: 669-678 Crossref PubMed Scopus (19) Google Scholar leading to the loss of over 150 000 disability-adjusted life-years in Latin America in 2014 alone. 4 Cardona-Ospina JA Diaz-Quijano FA Rodríguez-Morales AJ Burden of chikungunya in Latin American countries: estimates of disability-adjusted life-years (DALY) lost in the 2014 epidemic. Int J Infect Dis. 2015; 38: 60-61 Summary Full Text Full Text PDF PubMed Scopus (27) Google Scholar In 2018, chikungunya virus was listed as a priority pathogen for vaccine development by WHO, 5 Mehand MS Al-Shorbaji F Millett P Murgue B The WHO R&D blueprint: 2018 review of emerging infectious diseases requiring urgent research and development efforts. Antiviral Res. 2018; 159: 63-67 Crossref PubMed Scopus (171) Google Scholar and candidate vaccines have been in various stages of clinical trials for over 60 years. However, no chikungunya virus vaccine has yet met the threshold for regulatory approval based on efficacy or surrogate marker data. Safety and immunogenicity of a single-shot live-attenuated chikungunya vaccine: a double-blind, multicentre, randomised, placebo-controlled, phase 3 trialThe strong immune response and the generation of seroprotective titres in almost all vaccinated participants suggests that VLA1553 is an excellent candidate for the prevention of disease caused by chikungunya virus. Full-Text PDF Open Access

Long lasting anti-IgG chikungunya seropositivity in the Mayotte population will not be enough to prevent future outbreaks: A seroprevalence study, 2019.

Chikungunya is an arboviral disease causing arthralgia which may develop into a debilitating chronic arthritis. In Mayotte, a French overseas department in the Indian Ocean, a chikungunya outbreak was reported in 2006, affecting a third of the population. We aimed at assessing the chikungunya seroprevalence in this population, after over a decade from that epidemic. A multi-stage cross sectional household-based study exploring socio-demographic factors, and knowledge and attitude towards mosquito-borne disease prevention was carried out in 2019. Blood samples from participants aged 15-69 years were taken for chikungunya IgG serological testing. We analyzed associations between chikungunya serological status and selected factors using Poisson regression models, and estimated weighted and adjusted prevalence ratios (w/a PR). The weighted seroprevalence of chikungunya was 34.75% (n = 2853). Seropositivity for IgG anti-chikungunya virus was found associated with living in Mamoudzou (w/a PR = 1.49, 95%CI: 1.21-1.83) and North (w/a PR = 1.41, 95%CI: 1.08-1.84) sectors, being born in the Comoros islands (w/a PR = 1.30, 95%CI: 1.03-1.61), being a student or unpaid trainee (w/a PR = 1.35, 95%CI: 1.01-1.81), living in precarious housing (w/a PR = 1.30, 95%CI: 1.02-1.67), accessing water streams for bathing (w/a PR = 1.72, 95%CI: 1.1-2.7) and knowing that malaria is a mosquito-borne disease (w/a PR = 1.42, 95%CI: 1.21-1.83). Seropositivity was found inversely associated with high education level (w/a PR = 0.50, 95%CI: 0.29-0.86) and living in households with access to running water and toilets (w/a PR = 0.64, 95%CI: 0.51-0.80) (n = 1438). Our results indicate a long-lasting immunity from chikungunya exposure. However, the current population seroprevalence is not enough to protect from future outbreaks. Individuals naïve to chikungunya and living in precarious socio-economic conditions are likely to be at high risk of infection in future outbreaks. To prevent and prepare for future chikungunya epidemics, it is essential to address socio-economic inequalities as a priority, and to strengthen chikungunya surveillance in Mayotte.

Environmental Variables Related to Aedes aegypti Breeding Spots and the Occurrence of Arbovirus Diseases

Outbreaks of dengue fever, Zika and chikungunya are realities that manifest themselves in almost the entire world. These are diseases whose main vector is Aedes aegypti. This is a synanthropic that needs three factors in order to survive: water, food, and shelter, which are available under favorable socio-environmental conditions. The goal of this work was to identify and evaluate the pertinence of environmental variables that can allow the growth of Aedes aegypti breeding spots and the eventual increase of dengue fever, Zika and chikungunya in rural areas. A systematic literature review was conducted by searching for works published in bibliometric databases, and the results were analyzed in qualitative and quantitative forms (statistical analysis). This search found 1007 works, of which 50 were considered pertinent to the subject. Each work was analyzed individually, and 16 distinct variables were found to be relevant and were afterward grouped into three categories: sanitation (SAN), climatology (CLIM) and socio-environmental factors, which are named “integrative” (INT) variables. The use of two or more categories was present in 52% of the works, highlighting the SAN + INT combination. Around 16% of the works have included rural areas, relating the arbovirus diseases in these regions to socio-economic and sanitation conditions. The paper analyses the impact of water characteristics on the growth of the mosquito, as well as on the increase of the three diseases. The monitoring of these 16 variables may allow for better arbovirus disease control and could be integrated into entomological vigilance programs for helping make decision processes concerning the prevention of diseases associated with water.

Genomic Characterization of Mosquito Isolates of Chikungunya Virus (Outbreak Strains 2022) Using Next-Generation Sequencing.

Background: A massive outbreak of dengue-like illness was reported from Pune district of Maharashtra, India during May-June 2022. Isolation and characterization of the etiological agent at genomic level for possible mutations that led to higher transmissibility is the topic of the study. Methods: Entomological investigations were carried out by ICMR-National Institute of Virology (Pune, India); Aedes aegypti mosquitoes were collected and processed for virus detection by molecular techniques. Positive mosquito pools were processed for virus isolation in cell culture. Sanger sequencing and whole-genome sequencing (WGS) using Oxford Nanopore Technology platform were used for genomic characterization. Results: Reverse transcriptase RT-PCR and qRT-PCR analysis detected chikungunya virus (CHIKV) in mosquito samples. Six CHIKV isolates were obtained. WGS revealed four nonsynonymous mutations in the structural polyprotein region, and five in the nonstructural polyprotein encoding region when compared with Yawat-2000 and Shivane-2016 strains. Sixty-four nucleotide changes in the nonstructural polyprotein region and 35 in the structural polyprotein region were detected. One isolate had an exclusive amino acid change, T1123I, in the nsP2 (protease) region. Conclusion: Abundant Ae. aegypti breeding and detection of CHIKV RNA in mosquitoes confirmed it as a chikungunya outbreak. Novel mutations detected in the epidemic strain warrants investigations to address their role in disease severity, transmission, and fitness.

Chikungunya Outbreak in Country with Multiple Vectorborne Diseases, Djibouti, 2019–2020

During 2019-2020, a chikungunya outbreak occurred in Djibouti City, Djibouti, while dengue virus and malaria parasites were cocirculating. We used blotting paper to detect arbovirus emergence and confirm that it is a robust method for detecting and monitoring arbovirus outbreaks remotely.

Behavior of Adult Aedes aegypti and Aedes albopictus in Kinshasa, DRC, and the Implications for Control

Yellow fever and chikungunya outbreaks-and a few dengue cases-have been reported in the Democratic Republic of the Congo (DRC) in recent years. However, little is known about the ecology and behavior of the adult disease vector species, Aedes aegypti and Aedes albopictus, in DRC. Preliminary studies showed important differences in Aedes behavior in DRC and Latin-American sites. Therefore, this study aimed to assess the host-seeking and resting behaviors of female Ae. aegypti and Ae. albopictus, and their densities in four communes of Kinshasa (Kalamu, Lingwala, Mont Ngafula and Ndjili). Two cross-sectional surveys were carried out, one in the dry season (July 2019) and one in the rainy season (February 2020). We used three different adult vector collection methods: BG-Sentinel 2, BG-GAT, and prokopack. Both Aedes species were clearly exophagic, exophilic, and sought breeding sites outdoors. The adult house index for Ae. aegypti exceeded 55% in all communes except Lingwala, where it was only 27%. The Adult Breteau Index (ABI) for Ae. aegypti was 190.77 mosquitoes per 100 houses inspected in the rainy season and 6.03 in the dry season. For Ae. albopictus, the ABI was 11.79 and 3.52 in the rainy and dry seasons, respectively. Aedes aegypti showed unimodal host-seeking activity between 6 h and 21 h. The exophagic and exophilic behaviors of both species point to the need to target adult mosquitoes outdoors when implementing vector control.

Metagenomic analysis of coastal Kenya female Aedes aegypti mosquito RNA metaviromes reveal presence of diverse insect specific viruses

Background: Coastal Kenya has experienced repeated outbreaks of Chikungunya (CHIKV) and Dengue (DENV) viruses mediated by competent Aedes aegypti mosquito populations. These mosquitoes harbor insect specific viruses (ISVs), some of which can prevent arboviral transmission. However, there has been no systematic molecular entomological surveillance in coastal Kenya and the diversity of viruses in local Aedes aegypti populations remains largely unknown. Methods: To obtain a snapshot of the Aedes aegypti viromes from coastal Kenya, we took advantage of a cross-sectional survey of mosquitoes to determine the prevalence of Zika virus. We collected adult mosquitoes using lured Biogent’s sentinel traps at 16 different localities along the Kenyan coast between May to September 2017. Pools of 20 female Aedes aegypti mosquitoes were generated following grouping by morphological characteristics. Presence of arboviruses in the mosquito pools was determined using virus-specific and genera-specific primers with real-time PCR. Metagenomic next generation sequencing (mNGS) on Illumina Miseq and analysis was used to characterize the virome. Results: A total of 16,520 female Aedes aegypti grouped into 826 pools were analysed. Flaviviruses were detected in 69/826 (8.4%) pools by real time PCR. Sequencing generated 8,459/971,754 (0.87%) clean reads that were taxonomically assigned to 16 and 28 viral families and species, respectively. The family Phenuiviridae represented by Phasi Charoen-like phasivirus (PCLV) species was the most prevalent, detected in 64/73 (87%) mosquito pools. No pathogenic viruses were identified by mNGS. Phylogenetic analysis revealed local PCLV and Cell fusing agent virus (CFAV) were distinct from global sequences. Conclusions: Our data provides information about virus diversity and composition of the Aedes aegypti mosquitoes from coastal Kenya and contributes to the body of knowledge of the Aedes aegypti virome. To the best of our knowledge, this is the first study to provide this information from this region.

Tackling chikungunya and dengue crisis in Paraguay amidst COVID-19: an epidemiological alert - a correspondence.

Tackling chikungunya and dengue crisis in Paraguay amidst COVID-19: an epidemiological alert - a correspondence.

Using a delphi technique to determine the likelihood and tourism impact of a Chikungunya outbreak in the United States

ABSTRACT The Delphi technique is a qualitative technique which consists of a series of systematic steps to combine the knowledge and opinion of experts regarding a specific topic and reach a consensus as a means of scenario building and forecasting. This technique is rarely used in tourism, albeit it has been recommended since 1990 (Green, H., Hunter, C., & Moore, B. [1990]. Assessing the environmental impact of tourism development: Use of the Delphi technique. Tourism Management, 11(2), 111–120). The goal of this research note is to demonstrate use of the Delphi technique as a means of building a richer depth of understanding about the likelihood of a Chikungunya outbreak and the impact to the tourism industry.

Complex network analysis of arboviruses in the same geographic domain: Differences and similarities

Arbovirus can cause diseases with a broad spectrum from mild to severe and long-lasting symptoms, affecting humans worldwide and therefore considered a public health problem with global and diverse socio-economic impacts. Understanding how they spread within and across different regions is necessary to devise strategies to control and prevent new outbreaks. Complex network approaches have widespread use to get important insights on several phenomena, as the spread of these viruses within a given region. This work uses the motif-synchronization methodology to build time varying complex networks based on data of registered infections caused by Zika, chikungunya, and dengue virus from 2014 to 2020, in 417 cities of the state of Bahia, Brazil. The resulting network sets capture new information on the spread of the diseases that are related to the time delay in the synchronization of the time series among different municipalities. Thus the work adds new and important network-based insights to previous results based on dengue dataset in the period 2001–2016. The most frequent synchronization delay time between time series in different cities, which control the insertion of edges in the networks, ranges 7 to 14 days, a period that is compatible with the time of the individual-mosquito-individual transmission cycle of these diseases. As the used data covers the initial periods of the first Zika and chikungunya outbreaks, our analyses reveal an increasing monotonic dependence between distance among cities and the time delay for synchronization between the corresponding time series. The same behavior was not observed for dengue, first reported in the region back in 1986, either in the previously 2001–2016 based results or in the current work. These results show that, as the number of outbreaks accumulates, different strategies must be adopted to combat the dissemination of arbovirus infections.