West Nile Virus In Mosquitoes Research Articles

CO-OCCURRENCE OF MOSQUITO COMMUNITIES IN DISTURBED ENVIRONMENTS USING MARKOV RANDOM FIELDS (MRFs) IN ST. JOHNS COUNTY, FLORIDA

The distribution of mosquito communities is predicted by complex micro- and macrohabitat systems. While macrohabitat variables are significant in modeling the distribution of individual mosquito species, the distribution of mosquito communities in disturbed urban and semi-urban environmental gradients was overlooked in most of the previous models. In our study, we used conditional Markov Random Fields (CRF) to evaluate spatial co-occurrence patterns between mosquito vectors of eastern equine encephalitis (EEEV) and west Nile virus (WNV) in a disturbed urban environment in Saint John’s County, Florida. We aimed to 1) quantify the strength and direction of spatial unconditional and conditional correlations between mosquito assemblages in disturbed environments, and 2) evaluate whether the strength of correlations between mosquito assemblages is conditional on landscape or climate variables. We leveraged the longitudinal surveillance effort using Biogents sentinel traps (BGS) conducted by Anastasia Mosquito Control Districts in disturbed urban environments during 2017-2020. The distribution of high mosquito abundance, especially Aedes albopictus, Ae. aegypti, Ae. vexans, Ae. taeniorhynchus, Culex nigripalpus, Cx. salinarius, and Cx. quinquefasciatus, were conditionally correlated with other EEEV and WNV vector species in reduced woody and herbaceous wetlands and evergreen forests (-54.44%), and in urban developed landscapes (3.44%) during 2019 and 2020. Moreover, conditional correlations between mosquito species pairs were positively associated with increased total precipitation and in areas with high average minimum and maximum temperatures. Our results show that the micro- and macrohabitat characteristics demonstrated spatial effects on distribution and correlations between species pairs of EEEV and WNV mosquito vectors across disturbed environments. Our findings could be used to better understand the joint effects of drivers on mosquito diversity at a specific locality, interspecific interactions among mosquito assemblages, and how this diversity changes across environmental gradients.

First Isolation and Genome Sequence Analysis of West Nile Virus in Mosquitoes in Brazil.

West Nile virus is a flavivirus transmitted by mosquitoes, mainly of the genus Culex. In Brazil, serological studies have already indicated the circulation of the virus since 2003, with the first human case detected in 2014. The objective of the present paper is to report the first isolation of WNV in a Culex (Melanoconion) mosquito. Arthropods were collected by protected human attraction and CDC light bait, and taxonomically identified and analyzed by viral isolation, complement fixation and genomic sequencing tests. WNV was isolated from samples of Culex (Melanoconion) mosquitoes, and the sequencing analysis demonstrated that the isolated strain belonged to lineage 1a. The finding of the present study presents the first evidence of the isolation and genome sequencing of WNV in arthropods in Brazil.

Using metagenomics to detect West Nile virus in mosquitoes collected in Oklahoma

Mosquito-borne diseases are a major public health concern and given the current expansion of the distribution of invasive species of mosquitoes, active arboviral surveillance is necessary to inform public health applications. Metagenomics has been used as a molecular tool to detect and discover pathogens in arthropod vectors. We used the portable next-generation sequencing MinION from Oxford Nanopore Technologies to detect the West Nile virus in mosquitoes collected in Oklahoma during the summer of 2019. Our sampling efforts resulted in 3,200 mosquitoes collected from four counties in Oklahoma. The species composition was diverse, with 19 species from five genera. Following species identification and pooling, total RNA was extracted, and samples were screened for mosquito-borne arbovirus by quantitative reverse transcriptase-polymerase chain reaction (RT-qPCR) using primers targeting conserved regions of the flavivirus arboviral family. A DNA library was constructed with cDNA from samples tested positive for flavivirus and sequenced on single MinION R9.4 flow cells generating 3,190,000 reads. Base-calling was done using the built-in tool in the MinKnow ONT software that implements quality filtering (QC). A total of 2,494,315 reads were analyzed; and 83,016 reads were classified and 2,411,299 were unclassified using the cloud-based EPI2ME data analysis platform from ONT. MinION sequencing uncovered that the dominant superkingdoms were bacteria (51.1%), followed by eukaryote (42.9%), viruses (5.2%), and archaea (0.8%) with 354 reads mapping to the arboviral West Nile virus.

Survey of West Nile and Banzi Viruses in Mosquitoes, South Africa, 2011-2018.

We collected >40,000 mosquitoes from 5 provinces in South Africa during 2011-2018 and screened for zoonotic flaviviruses. We detected West Nile virus in mosquitoes from conservation and periurban sites and potential new mosquito vectors; Banzi virus was rare. Our results suggest flavivirus transmission risks are increasing in South Africa.

Molecular Surveillance of West Nile Virus in Mosquitoes and Sentinel Chickens.

Arboviral surveillance is a critical step in any effective mosquito control program. Surveillance aids in the early detection of pathogen transmission as well as establishes a baseline of transmission activity. Two of the most practical forms of arboviral surveillance is through the use of testing mosquito pools for the presence of pathogen and screening sentinel chickens for pathogen exposure. This chapter describes the process for each of these methods for West Nile virus.

Using Rapid Analyte Measurement Platform (RAMP) as a Tool for an Early Warning System Assessing West Nile Virus Epidemiological Risk in Bucharest, Romania.

West Nile virus (WNV) is the most widely spread arbovirus in the world. Early detection of this virus in mosquito populations is essential for implementing rapid vector control measures to prevent outbreaks. Real-time reverse transcription polymerase chain reaction (real-time RT-PCR) is a powerful tool for the detection of WNV in mosquito pools, but it is a time- and resource-consuming assay. We used a Rapid Analyte Measurement Platform (RAMP) assay in a vector surveillance program for rapid detection of WNV in mosquitoes collected in Bucharest city, Romania, in 2021. The positive mosquito pools were tested for confirmation with real-time RT-PCR. Three out of the 24 RAMP assay positive pools were not confirmed by real-time RT-PCR. We consider that RAMP assay can be used as a fast and reliable method for the screening of WNV presence in mosquito pools, but we recommend that samples with values ranging from 30 to 100 RAMP units should fall in a grey zone and should be considered for real-time RT-PCR confirmation.

Culex pipiens distribution in Tunisia: Identification of suitable areas through Random Forest and MaxEnt approaches

Tunisia has experienced several West Nile virus (WNV) outbreaks since 1997. Yet, there is limited information on the spatial distribution of the main WNV mosquito vector Culex pipiens suitability at the national level. In the present study, our aim was to predict and evaluate the potential and current distribution of Cx. pipiens in Tunisia. To this end, two species distribution models were used, i.e. MaxEnt and Random Forest. Occurrence records for Cx. pipiens were obtained from adult and larvae sampled in Tunisia from 2014 to 2017. Climatic and human factors were used as predictors to model the Cx. pipiens geographical distribution. Mean decrease accuracy and mean decrease Gini indices were calculated to evaluate the importance of the impact of different environmental and human variables on the probability distribution of Cx. pipiens. Suitable habitats were mainly distributed next to oases, in the north and eastern part of the country. The most important predictor was the population density in both models. The study found out that the governorates of Monastir, Nabeul, Manouba, Ariana, Bizerte, Gabes, Medenine and Kairouan are at highest epidemic risk. The potential distribution of Cx. pipiens coincides geographically with the observed distribution of the disease in humans in Tunisia. Our study has the potential for driving control effort in the fight against West Nile vector in Tunisia.

First detection of WNV RNA presence in field-collected mosquitoes in Cyprus

West Nile virus (WNV) infections have increased over recent years to the extent that WNV has become one of the most widespread arboviruses in the world, with potential consequences for both human and animal health. While much is known about WNV and the vectors that transmit it from their primary hosts across continental Europe, little is known about the epidemiology of the disease on the island of Cyprus. In this study, the aim was to investigate the prevalence of WNV infection in potential mosquito vectors for the first time in the Republic of Cyprus, using WNV surveillance of mosquitoes. Mosquitoes were collected in 2019, during which an outbreak in humans had occurred, and sampled mosquitoes were then examined for WNV infection by testing them for the presence of WNV RNA. Of 126 mosquito pools tested, one pool, containing Culex pipiens mosquitoes sampled from the Nicosia district, was found to be positive for the presence of WNV RNA. The positive pool found in this study represents the first demonstration of WNV in mosquitoes in Cyprus and confirms that human cases in Cyprus are likely the result of transmission via local Culex mosquitoes.

Detection of West Nile Virus in Overwintering Mosquitoes in the Volgograd Region

Introduction: West Nile fever is a zoonotic, vector-borne viral infection caused by West Nile virus. The possibility of persistence of West Nile virus in overwintering mosquitoes in regions with a temperate climate is of great importance for understanding the mechanisms of pathogen circulation. Objective: To detect West Nile virus in mosquitoes during the inter-epizootic period in the Volgograd Region. Materials and methods: In 2013–2021, we collected overwintering mosquitoes in different locations of the Volgograd Region using a battery-powered aspirator with a Krishtal’s trap to detect West Nile virus RNA in them using a real-time reverse transcription polymerase chain reaction. An isolate (WNV Volgograd_o16/19) was obtained from sample o16/19 (Cx. pipiens, collected on April 2, 2019) with detected West Nile virus RNA using a VERO cell culture. After that, total RNA was isolated from the filtered cell supernatant of that isolate. Metagenomic sequencing of the sample was performed using a high-throughput Illumina MiSeq sequencer, Illumina Inc., USA. Results: In total, we collected 4,070 mosquitoes in wintering shelters and tested 157 pools of the insects for West Nile virus RNA. The latter was detected in two pools of Culex pipiens and in one pool of Anopheles maculipennis complex. The phylogenetic analysis showed that the WNV Volgograd_о16/19 strain isolated from the pool of wintering mosquitoes belonged to lineage 2 of West Nile virus. We also established its belonging to the monophyletic clade of West Nile virus strains isolated in the Volgograd, Astrakhan, and Rostov regions in the years 2007 and 2018–2020. Conclusions: We were first to detect West Nile virus in overwintering mosquitoes in the Volgograd Region. Our findings confirm the hypothesis that lineage 2 strains of encephalitic West Nile virus persist in mosquitoes during the inter-epizootic period and can be transmitted from mosquito to bird in springtime as one of the mechanisms of forming autochthonous foci in WNV endemic areas of the Russian Federation in the absence of the annual import of this infection.

Optimal pooled testing design for prevalence estimation under resource constraints

Accurate estimation of disease prevalence is essential for mitigation efforts. Due to limited testing resources, prevalence estimation is often conducted via pooled testing, in which multiple specimens are combined and tested via a single test. The pool design, i.e., the number and sizes of testing pools, has a substantial impact on estimation accuracy. Determining an optimal pool design is challenging, especially for emerging or seasonal diseases for which information on the status of the disease is unreliable or unavailable prior to testing. We develop novel optimization models for testing pool design under uncertainty and limited resources, and characterize structural properties of optimal pool designs. We apply our models to estimate the prevalence of West Nile virus in mosquitoes (the main vector of transmission to humans). Our findings suggest that estimation accuracy can be substantially improved over the status quo through the proposed optimal pool designs.

Composition, toxicity and developmental potential of three essential oils on the West Nile virus mosquito, Culex pipiens L

The toxic and developmental properties of the three essential oils isolated from Artemisia monosperma, Origanum vulgare and Schinus molle were evaluated against Culex pipiens. Gas chromatography/mass spectrometry (GC/MS) analysis showed that capillene (36.86%), d-pulegone (77.45%) and α-phellandrene (29.78%) were the most dominant compounds in A. monosperma, O. vulgare and S. molle, respectively. The toxicity of the oils was evaluated against larvae, pupae and adults of C. pipiens after treatments of the 1st instar mosquito larvae with different concentrations of oils. The oils of O. vulgare, A. monosperma and S. molle caused 77.33, 64.0 and 56.67% larval mortality at 100 mg/L, respectively. The oils showed a strong cumulative toxicity with LC50 values of 10.27, 12.75 and 14.52 mg/L for O. vulgare, S. molle and A. monosperma, respectively. Moreover, the oil of O. vulgare strongly inhibited adult eclosion with IC50 value of 10.50 mg/L. Furthermore, the oils caused significant prolongation of the larval and pupal periods. In contrary, the oils drastically shortened adult periods of C. pipiens. Moreover, the three oils induced pupal and adult malformation.

Early detection of West Nile Virus mosquitoes and cases in Frisco and Dallas in 2019 using DNA &RNA testing and Climatic prediction with Math lab followed by Descriptive statistical analysis using R-programming

West Nile Virus is a mosquito borne disease that is initially caused in continental US that leads to neurological disease and death. There exists no vaccine or particular antiviral treatment for WNV.The mosquitoes become infected when they bite the infected birds. WNV is confined to the family Flaviviridae containing single stranded positive RNA with 11kb length. The purpose of this paper is to study WNV human cases and WNV positive mosquito traps in Frisco 75035 from Sep-Oct 2019. Also, the paper aims in explaining the current CDC data on WNV cases in detail using descriptive computer statistical analysis method. The data describes the current 2019 WNV neuro cases, WNV non-neuro cases, Death and presumptive viremic blood donors. According to (DSHS, 2019), there is no WNV cases reported yet in Frisco 2019 and one positive WNV case in Dallas county. According to CDC (2019), out of total 777, 98 were presumptive viremic blood donors, 504 was neuro-invasive cases, 273 were non-neuro-invasive cases, and 39 death was reported. Arizona and Colorado have the highest number of WNV Neuro invasive and Non-neuro-invasive cases of 132 and 60. This summary statistics reveals Neuro invasive cases have higher mean of 11.45 to non-neuro-invasive with 6.205. On the T-test it reveals at 95 % confidence level (P=0.007681) a significant difference in total cases versus the presumptive blood donors. It also represents more positive relationship on the scatter plots. According to Texas Department of state Health and Human Services (2019), reported human cases of reportable West Nile Disease of 19; out of which West Nile encephalitis is 15 and West Nile fever is 4. This shows that in Texas there is a drastic reduction of West Nile disease cases reported in 2019 related to good surveillance plans. This review summarizes descriptive statistical analysis of 2019 WNV cases which has shown a new increase in Presumptive viremic blood donors which is the hall mark of this review. Finally, the paper has completed a climatic niche prediction model using Math lab computer software for the future prediction of WNV positive mosquitoes using climatic conditions like high temperature, low temperature, humidity, rainfall, and precipitation.

A Comparison of Adult Mosquito Trapping Methods to Assess Potential West Nile Virus Mosquito Vectors in Greece during the Onset of the 2018 Transmission Season.

West Nile virus (WNV) threatens the health of humans and equines worldwide. Culex (Cx.) pipiens complex mosquitoes are major vectors but numerous other species have been implicated. Due to variations in blood-feeding behaviour, Cx. pipiens biotypes and hybrids influence transmission, from enzootic cycles (between mosquitoes and birds), to spill-over transmission to humans and equines. In this study, mosquitoes were collected in May–June 2018 during the early period of the transmission season from two regional units of Greece, where WNV cases had been reported in the previous four years (Palaio Faliro and Argolida). A total of 1062 mosquitoes were collected with Biogents Sentinel 2 traps collecting both a greater number of all mosquito species and the Cx. pipiens complex than CDC miniature light traps or Heavy Duty EVS traps. Molecular identification confirmed additional species including Aedes albopictus. The proportion of Cx. pipiens biotypes in Palaio Faliro was 54.5% pipiens, 20.0% molestus and 25.5% hybrids. In Argolida, the collection comprised 68.1% pipiens biotype, 8.3% molestus biotype and 23.6% hybrids. Screening resulted in WNV detection in three females of the pipiens biotype and in one hybrid. As hybrids play a role in spill-over transmission, these findings highlight the importance of entomological surveillance programs incorporating molecular xenomonitoring as an early warning before human cases at the onset of the transmission season.

West Nile Virus Mosquito Vectors (Diptera: Culicidae) in Germany

In 2018, West Nile virus (WNV) broke out for the first time in Germany, with continuation of the epidemic in 2019, involving birds, horses and humans. To identify vectors and characterize the virus, mosquitoes were collected in both years in zoological gardens and on a horse meadow immediately following the diagnosis of disease cases in birds and horses. Mosquitoes were identified and screened for WNV by qRT-PCR, with virus-positive samples being sequenced for the viral envelope protein gene. While no positive mosquitoes were found in 2018, seven mosquito pools tested positive for WNV in 2019 in the Tierpark (Wildlife Park) Berlin. The pools consisted of Cx. pipiens biotype pipiens (n = 5), and a mixture of Cx. p. biotype pipiens and Cx. p. biotype molestus (n = 2), or hybrids of these, and were collected between 13 August and 24 September 2019. The virus strain turned out to be nearly identical to two WNV strains isolated from birds diseased in 2018 in eastern Germany. The findings represent the first demonstration of WNV in mosquitoes in Germany and include the possibility of local overwintering of the virus.

Seroprevalence and molecular characterization of West Nile Virus in Egypt

West Nile Virus (WNV) is a flavivirus, mosquito-borne infection and have public health importance worldwide. WNV infection have highly significant impact on animal and human health. The virus has been detected serologically in Egypt among equids. Therefore, the aim of the present study to investigate the serological situation of WNV among horse in north of Egypt and identification of WNV in vector. The serological survey was conducted on 500 serum samples that collected from horses from four governorates at north of Egypt. The infection rate was non-significant differed between four localities and the highest rate was reported in Qalyubia governorate (25.5 %) in comparison with other areas. Moreover, the WNV RNA was detected in mosquitoes and the obtained WNV sequence showed high similarity with Eg101 strain and characterized as lineage 1. The obtained findings confirm the circulation of WNV in mosquitoes and animals in Egypt.

Evidence of circulation of West Nile virus in Culex pipiens mosquitoes and horses in Morocco

West Nile virus (WNV) is one of the most widely distributed mosquito-borne viruses in the world. In North Africa, it causes human cases of meningoencephalitis with fatalities in Algeria and in Tunisia, whereas only horses were affected in Morocco. The aims of this study were to detect WNV in mosquitoes and to determine seroprevalence of WNV in Moroccan horses by the detection of IgG antibodies. A total of 1455 mosquitoes belonging to four different species were grouped by collection site, date, and sex with 10 specimens per pool and tested for 38 arboviruses using a high-throughput chip based on the BioMark Dynamic array system. Out of 146 mosquito pools tested, one pool was positive for WNV. This positive pool was confirmed by real time RT-PCR. The serosurvey showed that 33.7% (31/92) of horses were positive for competitive enzyme-linked immunosorbent assay (cELISA) test. The flavivirus-sphere microsphere immnoassay (MIA) test, targeting three flaviviruses (WNV, Usutu virus (USUV) and Tick borne encephalitic virus (TBEV)) showed that 23 sera out of 31 were positive for WNV, two for USUV, two for USUV or WNV, and four for an undetermined flavivirus. Virus neutralization tests with USUV and WNV showed that 28 of 31 sera were positive for WNV and all sera were negative for USUV. This study reports, for the first time, the detection of WNV from Culex pipiens mosquitoes in Morocco and its circulation among horses. This highlights that the detection of arboviruses in mosquitoes could serve as an early warning signal of a viral activity to prevent future outbreaks in animals and humans.

Entomological Data and Detection of West Nile Virus in Mosquitoes in Greece (2014-2016), Before Disease Re-Emergence in 2017.

West Nile virus (WNV) cases were seasonally recorded in humans and animals in Greece, from 2010 to 2014, and circulation of the virus was detected in different Regional Units of the country. Small scale entomological surveillance activities were carried out by several regions and regional units in Greece, during 2014-2016, with the participation of subcontractors for the vector control programs aiming to record presence/absence of mosquito species, and monitor and control mosquito populations. Mosquito traps were placed in rural and urban sites; specimens were collected, morphologically characterized, and pooled by date of collection, location, and species types. Mosquito pools containing Culex pipiens, Aedes caspius, and Aedes albopictus were examined for the presence of WNV and positive pools were detected in different areas of the country. Sequencing of a selected number of amplicons revealed WNV lineage 2 partial NS5 gene sequences. In this study, we present data on the mosquito species composition in the areas of study and WNV detection from several parts of Greece, in 6, 11, and 26 mosquito pools corresponding to the years 2014, 2015, and 2016, respectively. A total of 15 WNV human infections were reported to the public health authorities of the country in 2014, whereas no human cases were detected for 2015-2016. Taking into consideration the complex epidemiological profile of WNV and unforeseen changes in its circulation, re-emergence of WNV human cases in Greece was possible and expected, thus rendering surveillance activities imperative.

Modeling and Surveillance of Reporting Delays of Mosquitoes and Humans Infected With West Nile Virus and Associations With Accuracy of West Nile Virus Forecasts

West Nile virus (WNV) is the leading cause of domestically acquired arboviral disease. To develop real-time WNV forecasts of infected mosquitoes and human cases. Real-time forecasts of WNV in 4 geographically dispersed locations in the United States were generated using a WNV model-inference forecasting system previously validated with retrospective data. Analysis was performed to evaluate how observational reporting delays of mosquito WNV assay results and human medical records were associated with real-time forecast accuracy. Mosquitoes positive for WNV and human cases. Delays in reporting mosquito WNV assay results and human medical records and the association of these delays with real-time WNV forecast accuracy. Substantial delays in data reporting exist for both infected mosquitoes and human WNV cases. For human cases, confirmed data (n = 37) lagged behind the onset of illness by a mean (SD) of 5.5 (2.3) weeks (range, 2-14 weeks). These human case reporting lags reduced mean forecast accuracy for the total number of human cases over the season in 110 simulated outbreaks for 2 forecasting systems by 26% and 14%, from 2 weeks before to 3 weeks after the predicted peak of infected mosquitoes. This period is the time span during which 47% of human cases are reported. Of 7064 mosquito pools, 500 (7%) tested positive; the reporting lag for these data associated with viral testing at a state laboratory was a mean (SD) of 6.6 (2.6) days (range, 4-11 days). This reporting lag was associated with decreased mean forecast accuracy for the 3 mosquito infection indicators, timing, magnitude, and season, by approximately 5% for both forecasting systems. Delays in reporting human WNV disease and infected mosquito information are associated with difficulties in outbreak surveillance and decreased real-time forecast accuracy. Infected mosquito lags were short enough that skillful forecasts could still be generated for mosquito infection indicators, but the human WNV case lags were too great to support accurate forecasting in real time. Forecasting WNV is potentially an important evidence-based decision support tool for public health officials and mosquito abatement districts; however, to operationalize real-time forecasting, more resources are needed to reduce human case reporting lags between illness onset and case confirmation.

The influence of weather and weather variability on mosquito abundance and infection with West Nile virus in Harris County, Texas, USA

Early warning systems for vector-borne diseases (VBDs) prediction are an ecological application where data from the interface of several environmental components can be used to predict future VBD transmission. In general, models for early warning systems only consider average environmental conditions ignoring variation in weather variables, despite the prediction from Schmalhausen's law about the importance of environmental variability for biological systems. We present results from a long-term mosquito surveillance program from Harris County, Texas, USA, where we use time series analysis techniques to study the abundance and West Nile virus (WNV) infection patterns in the local primary vector, Culex quinquefasciatus Say. We found that, as predicted by Schmalhausen's law, mosquito abundance was associated with the standard deviation and kurtosis of environmental variables. By contrast, WNV infection rates were associated with 8-month lagged temperature, suggesting environmental conditions during overwintering might be key for WNV amplification during summer outbreaks. Finally, model validation showed that seasonal autoregressive models successfully predicted mosquito WNV infection rates up to 2 months ahead, but did rather poorly at predicting mosquito abundance, a result that might reflect impacts of vector control for mosquito population reduction, geographic scale, and other artifacts generated by operational constraints of mosquito surveillance systems.

Towards a thermodynamic mechanistic model for the effect of temperature on arthropod vector competence for transmission of arboviruses

Arboviruses such as West Nile virus (WNV), bluetongue virus (BTV), dengue virus (DENV) and chikungunya virus (CHIKV) infect their arthropod vectors over a range of average temperatures depending on the ambient temperature. How the transmission efficiency of an arbovirus (i.e. vector competence) varies with temperature influences not only the short term risk of arbovirus outbreaks in humans and livestock but also the long term impact of climate change on the geographical range of the virus. The strength of the interaction between viral surface (glyco)protein (GP) and the host cell receptor (Cr) on binding of virus to host cell is defined by the thermodynamic dissociation constant Kd_receptor which is assumed to equal 10−3 M (at 37 °C) for binding of a sialic acid (SA) on the arthropod midgut epithelial cell surface to a SA-binding site on the surface of BTV, for example. Here virus binding affinity is modelled with increasing number of GP/Cr contacts at temperatures from 10 °C to 35 °C taking into account the change in entropy on immobilization of the whole virus on binding (ΔSa_immob). Based on published data, three thermodynamic GP/Cr binding scenarios, namely enthalpy-driven, entropy-assisted and entropy-driven, are shown to affect the temperature sensitivity of virus binding in different ways. Thus for enthalpy-driven GP/Cr binding, viruses bind host cells much more strongly at 10 °C than 35 °C. A mechanistic model is developed for the number of arthropod midgut cells with bound virus and by building in a kinetic component for the rate of arbovirus replication and subsequent spread to the arthropod salivary glands, a model for the effect of temperature on vector competence is developed. The model separates the opposing effects of temperature on midgut cell binding affinity from the kinetic component of virogenesis. It successfully accommodates both increases in vector competence with temperature as for DENV and WNV in mosquitoes and decreases as for the CHIKV 2010–1909 strain in various populations of Aedes albopictus mosquitoes. Enhanced cell binding at lower temperatures through enthalpy-driven GP/Cr binding compensates for the lower replication rate to some degree such that some transmission can still occur at lower temperatures. In contrast, the strength of entropy-driven GP/Cr binding diminishes at low temperatures although there is no minimum temperature threshold for transmission efficiency. The magnitude of ΔSa_immob is an important data gap. It is concluded that thermodynamic and kinetic data obtained at the molecular level will prove important in modelling vector competence with temperature.