Journal of Vector Borne Diseases最新文献

Background objectives: To understand the distribution and presence of West Nile (WN) among the acute encephalitis syndrome (AES) patients, a prospective facility-based study was conducted over 13 years (2007-2019).

Methods: During the period, 8957 patients hospitalized with AES in northeastern India were tested for the evidence of WN virus infection by IgM ELISA followed by Plaque reduction neutralization test (PRNT).

Results: Of the samples tested 324 (3.62%) were found positive for WN IgM antibodies and 73 paired sera showed a fourfold rise in neutralizing antibody titre by PRNT. The study establishes WN as a noteworthy cause of encephalitis in an erstwhile endemic area for Japanese encephalitis (JE).

Interpretation conclusion: Therefore, it is important that WN is recognized as an important acute encephalitis syndrome (AES) causing aetiology in this region and the National centre for vector borne disease control (NCVBDC) guidelines for detection of AES may be modified accordingly. Thus, inclusion of WN in routine diagnosis, along with establishment of an integrative surveillance network with one-health approach will be important.

Background objectives: Compressive mapping and in-depth analysis of malaria vulnerability risk foci are important tools for strategic planning, vector surveillance, implementing necessary interventions, and managing scarce resources to combat the daunting challenges of malaria infections in Nigeria.

Methods: The study utilized environmental risk factors and spatial multi-criteria decision analysis techniques to analyze and map the spatial variations in malaria-endemic prone areas within the Northern Zone of Plateau State.

Results: Analysis of the criteria's weights of environmental risk factors and the stratification of the malaria risk vulnerability revealed that high-risk areas covered a total of 4017.25 Km2, while low-risk areas covered 1294.83Km2, having a close resemblance to the corresponding ground conditions. The results showed that a significant 60% of the study areas were characterized by high risk of malaria transmission, particularly in most settlements around the Jos North, Jos South and Barkin Ladi Local Government Areas. The malaria risk map's predictive abilities demonstrated a high level of accuracy, as indicated by the area under the curve score of 0.989. Furthermore, the risk map demonstrates a high-performance rate in identifying malaria hotspots, with a sensitivity of 98%, a proficiency rate of 54%, and a statistical significance confidence level ranging from 90% to 99% for identifying malaria hotspots and coldspots.

Interpretation conclusion: The malaria risk analysis and mapping within the endemic prone areas of the Northern Zone of Plateau State not only equips policymakers with effective tools for identifying malaria foci but also offers a deeper comprehension of the appropriate intervention measures to be implemented.

Background objectives: Mosquito-bome diseases are a major health issue among communities in Asia, and dengue has become a serious public health concern in Sri Lanka with varying magnitude since 1960. With the realization of the failures and limitations of current vector control strategies, the authorities are moving towards simple, low- cost, and eco-friendly vector management methods. Thus, the present study was devised to evaluate the potential densities of mosquito natural enemies in natural water habitats in Galle district, Sri Lanka, and to investigate the feeding efficacy of prominent mosquito natural enemies on main dengue vectors (Aedes sp.) in a laboratory setting.

Methods: The survey was carried out using eight sentinel sites in Galle district, and samples of mosquito natural enemies and mosquito larvae were collected, and identified using taxonomic keys.

Results: Study records, the aquatic insects of family Hydrometridae, Belostomatidae, Notonectidae, Nepidae, Ranat- ridae, and Corixidae as dominant mosquito natural enemies, and Libellulidae and Dytiscidae insects as sub-dominant families. The highest density of the family Hydrometridae was recorded in rural, natural inland, and rocky study sites. The order Hemiptera was recorded as the key order of the mosquitos' natural enemies in Galle district. The family Hydrometridae had the highest density of recorded mosquito natural enemies.

Interpretation conclusion: Aedes aegypti and Ae. albopictus were recorded as abundant vector mosquitoes. Family Nepidae is the most effective natural mosquito predator on Ae. aegypti and Ae. albopictus, and this knowledge will be vital for implementing future biological control strategies for Aedes vectors in Sri Lanka.

Dengue fever is one of the most widespread vector-borne viral infections in the world, resulting in increased socio-economic burden. WHO has reported that 2.5 billion people are infected with dengue fever across the world, resulting in high mortalities in tropical and subtropical regions. The current article endeavors to present an overview of predicting dengue outbreaks through data-based machine-learning models. This artificial intelligence model uses real world data such as dengue surveillance, climatic variables, and epidemiological data and combines big data with machine learning algorithms to forecast dengue. Monitoring and predicting dengue incidences has been significantly enhanced through innovative approaches. This involves gathering data on various climatic factors, including temperature, rainfall, relative humidity, and wind speed, along with monthly records of dengue cases. The study functions as an efficient warning system, enabling the anticipation of dengue outbreaks. This early warning system not only alerts communities but also aids relevant authorities in implementing crucial preventive measures.

Canine leishmaniasis (CanL) is a zoonotic disease caused by infection with Leishmania infantum and transmitted by female phlebotomine sandflies. It is prevalent in the Mediterranean basin, including the Maghreb region which comprises of Algeria, Tunisia, and Morocco. The environmental conditions in this area provide a suitable habitat for the proliferation of the phlebotomine sandfly, making it an endemic region for CanL. In this context, we carried out a systematic review and meta-analysis on the prevalence of canine leishmaniasis in these three Maghreb countries, identifying the risk factors for L. infantum infection. Data were collected from 27 papers published between 1973 and 2022 selected from five databases: PubMed, Google Scholar, ResearchGate, ScienceDirect and Scopus. Our selection criteria included both descriptive and analytical studies on canine leishmaniasis in Maghreb, as well as epidemiological studies that reported the prevalence of leishmaniasis infection. The meta-analysis was performed using Review Manager (RevMan) software version 5.4.1. based on predefined inclusion criteria. A total of 11,736 dogs were included in the analysis, among which 2481 were tested Leishmania positive cases. Over the years, the highest prevalence (68.32%) was recorded in Tiaret (Algeria) and the lowest (4.3%) in Tunisia. The examination of the risk factors revealed a heightened incidence of the disease in dogs of shepherd breeds, living in rural environments, displaying no apparent symptoms, and falling within the age range of 2 to 4 years. The findings presented in this study contribute a significant value to the exploration of leishmaniasis in this region, particularly by shedding light on the associated risk factors. Ultimately, substantial endeavors are warranted to enhance prevention, treatment, and overall control of the disease.

Background objectives: Malaria, a vector-borne diseases caused by Plasmodium species and transmitted by Anopheles species. Among them, Anopheles subpictus has emerged as a potent malarial vector in coastal areas of India. Numerous studies highlighted that bacterial communities within mosquito influence vector competence. The present study was designed to isolate and characterize bacterial microbiota from A. subpictus larvae.

Methods: Isolation and purification of the predominant bacterial strain (AL1). Morphological, biochemical, antibiotic susceptibility and molecular characterization of the isolated bacteria.

Results: Bacterial isolate (AL1) was found to be rod, gram negative, catalase positive and oxidase negative. AL1 was identified as Leclercia adecarboxylata (Accession number: OR649235) through 16S rRNA ribotyping. Further, leaf extract of Nyctanthes arbortristis showed inhibitory effect against AL1.

Interpretation conclusion: This is the first report on isolation of symbiotic bacteria (L. adecarboxylata) from A. subpictus and its control by leaf extract of Nyctanthes arbortristis. Isolated gram-negative bacterial strain might inhibit the development of mosquito vector and might use for various biological control strategies to combat malaria transmission.

Background objectives: Anopheles funestus is playing an increasingly important role in malaria transmission in sub-Saharan Africa. Trehalase, an enzyme required for trehalose breakdown, is important for mosquito flight and stress adaptation. Hence, its inhibition has emerged as a promising malaria management strategy.

Methods: A collection of 1900 natural compounds from the ZINC database were screened against the 3D modeled structure of the A. funestus trehalase protein using in-silico tools. ADMET-AI, a web-based platform, was used to predict the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of the selected compounds.

Results: Here in this study, we report 5 natural compounds namely, ZINC00488388, ZINC00488525, ZINC00488566, ZINC00488304, and ZINC00488456 demonstrated strong binding affinity to the trehalase protein. These compounds interacted with critical residues of the trehalase protein and exhibited good drug-like characteristics.

Interpretation conclusion: These compounds show promise as trehalase protein inhibitors for malaria management. Nonetheless, additional experimental studies are required to optimize these compounds as potential trehalase inhibitors.

Background objectives: Aedes aegypti (Linnaeus) is the vector of multiple arboviruses, the most important being dengue viruses (DENV) that causes more than 90 million cases per year. The expanded range of Ae. aegypti into temperate climates has contributed to the increasing risk of DENV to new human populations. As an effort to better understand the ecology of Ae. aegypti in a temperate climate, larval surveillance was conducted to identify oviposition locations of this species from 2016-2018 in two nonincorporated communities located in El Paso, Texas and Ciudad Juárez, Chihuahua, Mexico.

Methods: This survey was conducted inside and outside private residences examining any possible water holding containers to collect with a dipper, turkey baster, or Pasteur pipette. Larvae and pupae were transported to the laboratory and reared to adults for morphological identification. A total of 601 Ae. aegypti larvae were collected and reared to adults from 24 containers in the Sparks community. In contrast, a total of 68 Ae. aegypti were collected and reared to adults from seven containers in the Anapra community.

Results: In both locations, the predominant container type that yielded immature mosquitoes were plastic buckets. Although the results were based on a small sample size, the finding provided a preliminary understanding of the oviposition sites of Ae. aegypti in two urban communities in a temperate climate region.

Interpretation conclusion: The identification of oviposition sites can be used to develop and implement vector control strategies.

From ancient times until 21st century, Malaria has remained a fatal disease. It causes death in many poor and developing countries. Excluding vector control, Antimalarial drugs are the most reliable and effective weapon to tackle this severe disease. The emergence of antimalarial drug resistance in Plasmodium spp. becomes a barrier in Malaria elimination program as there has been no effective antimalarial vaccine till today. Apart from artemisinin, most of the antimalarial drugs have become resistant against malaria at present. Although, reduced efficacy of artemisinin-based combination therapy (ACT) has also been reported from southeast regions of Asia. Mutation of some genes within the parasite play a vital role in this drug resistance. Therefore, malaria is still a prime threat to human death and an unsolved problem. Newly emerging approaches like, vaccine development, plants based antimalarial drugs, nanoparticles, next generation antimalarial drugs should be taken & supported. In addition to that, public awareness is much needed for understanding the fatality of the disease and for encouraging self-protection and early treatment.

Background objectives: Hantavirus and leptospirosis infections are zoonotic diseases with similar clinical and laboratory findings. The aim of this study is identifying the distinguishing features of these two diseases, for which a definitive diagnosis can take a long time.

Methods: Between September 2021 and June 2023, a total of 45 patients who were admitted to our hospital and were diagnosed with HFRS or leptospirosis were retrospectively evaluated. Patients were compared in terms of demographic data, clinical, and laboratory parameters. The role of these variables in predicting HFRS or leptospirosis was investigated. The two diseases were compared with regard to outcomes. Receiver operating characteristics were employed for the calculation of cut-off values, sensitivity, specificity, and positive and negative predictive values for parameters showing significant differences. A statistical significance level of p<0.05 was considered.

Results: Fifteen patients diagnosed with HFRS and thirty patients diagnosed with leptospirosis were included in the study. In both groups, hospital admissions were observed with non-specific and similar symptoms. There was no statistically significant difference observed between the two groups in terms of length of hospital stay, blood product transfusion, requirement for hemodialysis, intensive care unit admission, the rate of return to normal renal function and mortality. Elevated ferritin levels were statistically significant in favor of HFRS, while lymphopenia, elevated bilirubin, CRP, and ESR were statistically significant in favor of leptospirosis.

Interpretation conclusion: The use of laboratory findings and clinical symptoms can aid in the challenging task of accurately diagnosing and using appropriate treatment for these two diseases.