Vector Potential Index: Bridging competence and contribution as an integrative measure of relative transmission capability

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

1. Vectorial capacity (VC) is a powerful tool for estimating species’ importance in the transmission of vector-borne pathogens and predicting impacts specific control measures on those pathogens. However, VC rarely estimated zoonotic multi-vector, multi-host disease (VBD) systems, due to inherent difficulties measuring several parameters, especially biting rate daily probability survival. 2. We present Vector Potential Index (VPI), novel metric evaluating comparing potential blood-feeding arthropod vectors contribute VBD using West Nile virus (WNV) eastern United States as model system. Taking meta-analysis approach, VPI combines vector competence host use data obtained from scientific literature assign relative absolute ranks across species cycles. 3. Our case study WNV demonstrates that framework effectively quantifies enzootic epizootic Most exhibited low although Aedes were most competent laboratory, only Culex assigned higher ranks. Additionally, suggests contribution Culex salinarius U.S. may be greater than previously assumed based assessments individual parameters. Relative aligned with recent work reviewing their role cycles, indicating by jointly considering use, provides realistic approximation natural environment. 4. The practical highly versatile useful either stand-alone application or integrated existing approaches, where it can used evaluate compare different systems spatiotemporal scales at species, population, community level. recommend objective reproducible yet simple scientists public health practitioners, this trait-based approach has considerable provide new insights into enhance surveillance intervention strategies.

Language: Английский

---

Chijiahe virus, a novel mosquito-associated virus of the Iflaviridae family Found in Shandong Province, China

Heliyon, Journal Year: 2025, Volume and Issue: 11(4), P. e42532 - e42532

Published: Feb. 1, 2025

Highlights:•Chijiahe virus is a novel arbovirus and first identified from mosquitoes in Shandong province, 2022.•A total of 2910 were sampled Yantai area Province qRT-PCR performed to confirm the presence Chijiahe virus, with minimum infection rate 0.34%.•Phylogenetic analysis showed that most closely related Arthropod iflavirus, which belongs Iflaviridae.•Chijiahe was widely distributed local relatively conservative evolution.AbstractClimate change increasing threat arboviruses globally, amplifying their geographic distribution virulence. This poses grave risk public health as mosquito-transmitted viral infections resurge spread. Unbiased metagenomics plays crucial role identifying unknown pathogens monitoring significant ones. Using this approach, mosquito-associated named discovered. We collected 2,910 divided them into 65 pools based on species collection site. To ascertain existence we utilized nested PCR alongside real-time quantitative reverse transcription (RT-qPCR). Further virus's genomic characteristics phylogenetic relationships revealed its detection 10 out mosquito pools, yielding (MIR) 0.34%. The genome consists 9,654-nucleotide single-stranded RNA, containing an open reading frame (ORF) encodes essential proteins, including capsid protein, RNA helicase, RNA-dependent polymerase (RdRp). Pairwise distance high nucleotide identity among all obtained sequences. Phylogenetic demonstrated close relationship member family Iflaviridae. Additional analyses confirmed

Language: Английский

---

Mathematical analysis of scrub typhus seasonal infection with re-scaled transmission rate considering Northeast India reported data from 2010 to 2022

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 28, 2025

Healthcare reporting methods have seen a common problem with actual incidence of scrub typhus cases in Northeast India that were reported during post rainy season. We propose Host-Vector model, first its kind, significant modification the disease infection transmission rate. Our work aims to investigate mathematical model by Atangana-Baleanu fractal-fractional operator has seasonal pattern incorporating 2010-2022 data. The existence-uniqueness property is investigated using fixed point theory, and also Ulam-Hyers stability performed. Based on Lagrange's interpolation polynomial numerical scheme, investigation for various values fractional parameters presented. simulation phase plane trajectories demonstrates excellent performance suggested as number individuals who recover rises gradually after herd immunity threshold points turning points. Furthermore, information gathered here may be useful enhancing spatiotemporally dynamic models.

Language: Английский

---

WIMANET: The Power of a Network in Wildlife Malaria Research

Integrative Zoology, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

ABSTRACT The Wildlife Malaria Network (WIMANET) is an EU‐COST‐funded global network of researchers and stakeholders interested in wildlife malaria related haemosporidian parasites. has six working groups covering a diverse range core topics within research, focusing on genetics genomics, species identification, vectors, haematology, communities, communication. Up to now, the includes 229 members from 45 countries including Europe, America, Africa, Asia, but this number continually growing. This review outlines aims goals WIMANET, providing summary activities plans for each next years. open new members, we provide details how both existing can get involved take part activities. WIMANET provides platform collaborative innovative encourage all community (and beyond) advantage opportunities offers.

Language: Английский

---

Comprehensive Mosquito Wing Image Repository for Advancing Research on Geometric Morphometric- and AI-Based Identification

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: April 29, 2025

Abstract Accurate identification of mosquito species is essential for effective vector control and mitigation mosquito-borne disease outbreaks. Traditional morphological requires highly specialized personnel time-consuming, while molecular techniques can be cost-effective dependent on comprehensive genetic information. Wing geometric morphometry has emerged as a promising alternative, leveraging detailed measurements wing shapes vein patterns to distinguish between detect intraspecies variations. This paper presents curated dataset 18,104 images, collected from 10,500 specimens, annotated with extensive meta-information, designed support research in the development machine learning models, ultimately supporting efforts surveillance research.

Language: Английский

---

Clinical and immunological aspects of mosquito allergy

Alergologia, Journal Year: 2024, Volume and Issue: 2(8), P. 80 - 80

Published: Jan. 1, 2024

Language: Английский

---

Mosquito Wing Image Repository for Advancing Research on Geometric Morphometric- and AI-Based Identification

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 15, 2024

Abstract Accurate identification of mosquito species is essential for effective vector control and mitigation mosquito-borne disease outbreaks. Traditional morphological requires highly specialized personnel time-consuming, while molecular techniques can be cost-effective dependent on comprehensive genetic information. Wing geometric morphometry has emerged as a promising alternative, leveraging detailed measurements wing shapes vein patterns to distinguish between detect intraspecies variations. This paper presents curated dataset 18,104 images, collected from 10,500 specimens, annotated with extensive meta-information, designed support research in the development machine learning models, ultimately supporting efforts surveillance research.

Language: Английский

---

Mosquito diversity, abundance and phenology in Mexico City: a heavily urbanized environment

Acta Tropica, Journal Year: 2024, Volume and Issue: unknown, P. 107484 - 107484

Published: Nov. 1, 2024

Language: Английский

---