Disease Transmission Research Articles

Comparison of utility and organizational impact of reusable and single-use rhinolaryngoscopes in a tertiary otorhinolaryngology department.

Flexible rhinolaryngoscopes are an important tool in otolaryngology. In recent years, single-use rhinolaryngoscopes (SURLs), which have been developed as an alternative to reusable scopes (RRLs), offer various advantages including less risk of contamination and elimination of the need for cleaning and reprocessing between procedures. This study aimed to compare procedure efficiency, organizational impact, and economic impact between SURLs and RRLs used for elective procedures conducted outside the otorhinolaryngology department in the hospital environment. In this randomized prospective study, either type of endoscope was tested by on-call otolaryngologists over a total of twelve weeks. The organizational impact was investigated using a quantitative research design. All categories of stakeholders responded to specific surveys based on profession; these included doctors (n = 13), those in managerial positions (n = 3), and other healthcare staff including technicians and nurses (n = 11). A micro-costing approach was used to evaluate resource utilization and cost of services. The trial was uploaded to clinicaltrials.gov (ID number: NCT0519821, https://clinicaltrials.gov/study/NCT05198219?intr=rhinolaryngo&rank=1). Overall, 14 and 12 procedures were performed using the SURLs and RRLs, respectively. No significant differences were observed between the endoscopes in terms of procedure duration, reported image quality, or maneuverability. The SURLs were significantly superior in terms of four organizational impact parameters, namely, modes of cooperation and communication, vigilance and monitoring methods, working conditions and safety, and logistics. The estimated per-procedure cost of the RRLs was SEK 536 (€ 34,68). The cost and effectiveness of RRLs and SURLs is influenced by the healthcare setting, procedure volume, and duration of device use. The adoption of SURLs can improve safety, streamline processes, and potentially reduce the risk of disease transmission.

Respiratory Isolation for Tuberculosis: A Historical Perspective.

Although tuberculosis is an ancient disease, recognition of its airborne route of transmission, with implications for respiratory isolation, is only relatively recent. Since the time of Hippocrates, the dogma among health practitioners was that the disease was hereditary or that it could be contracted by inhaling "miasma", or corrupted air. Consequently, isolation of patients was not routine practice, and, in fact, patients with scrofula (morbus regius, or "king's evil) sought to be cured by the "royal touch" throughout the middle ages. The sanatorium, which emerged in the mid-19th century, initially served as a place of healing, where patients could receive the appropriate diet, rest therapy, graduated exercise, and abundant fresh air. Major scientific breakthroughs, including Robert Koch's 1882 discovery of the tubercle bacillus as the disease's etiological agent and early 20th century experimental evidence that the organism could be transmitted via expectorated droplet nuclei, helped to reinforce the important public health role of sanatoria and tuberculosis hospitals in preventing disease transmission through isolation. The advent of highly efficacious and oral antitubercular regimens in the mid-20th century and the concurrent declining incidence of the disease contributed to the closure of tuberculosis sanatoria and hospitals in the US and western Europe. Over the past several decades, tuberculosis treatment in the US has been conducted in the outpatient setting under the supervision of local public health departments. Patients receiving treatment are required to remain in respiratory isolation in the home until they are deemed noninfectious based on multiple sputum samples. This historical review demonstrates that despite changing medical knowledge, drug therapies, and social conditions over time, the role of isolation remains an important topic of debate in the treatment of patients with pulmonary tuberculosis.

Integrating ethics in public health guideline development: a case-study of the NTCA guidelines on respiratory isolation for persons with TB in community settings.

Public health interventions often involve explicit tradeoffs in which the health of the many must be weighed against burdens imposed on individuals. We describe development of public health guidelines for respiratory isolation in community settings for persons with tuberculosis. While stopping the spread of disease is a core moral imperative in public health, the duty to prevent disease transmission does not supersede all other considerations. Community wellbeing must be balanced with individual wellbeing, liberty, and social justice. In response to these challenges, the National TB Coalition of America's (NTCA) 2024 Guidelines for persons with tuberculosis in community settings were developed using a modified GRADE approach supported by a complementary, comprehensive, and context-specific ethical framework. By addressing the distinct roles that evidence (subject to uncertainty), values, justificatory conditions, and procedural legitimacy all play in ethical guideline development, we promote rigor and transparency in the integration of ethics in public health guidelines.

Multicentric Study on Enteric Protists Occurrence in Zoological Parks in Portugal.

Parasitic infections of the gastrointestinal tract of domestic animals play a major role in the transmission of disease, which in turn may result in financial and productive losses. Notwithstanding, studies on the burden and distribution of diarrheagenic protists in zoological gardens are still insufficient. Given the close animal-animal and animal-human interaction in these settings, Public Health concerns under the One Health context are raised. Using molecular detection tools and phylogenetic analysis, the goal of this study was to assess the occurrence of four potentially zoonotic protists-Balantioides coli, Blastocystis sp., Cryptosporidium spp. and Giardia spp.-in animals residing in zoological parks in Portugal. Occurrence of Eimeria spp. was also assessed because of its veterinary relevance. Although Blastocystis sp. represents most of the positive samples obtained (11.6%; 95% CI: 0.08-0.17), all parasites were detected (B. coli (2.9%; 95% CI: 0.01-0.06), and Cryptosporidium spp., Eimeria spp. and Giardia spp. presented the same prevalence (0.5%; 95% CI: 0.00-0.03)). We also describe the first molecular detection of B. coli in a collared peccary (Tayassu tajacu), of Blastocystis sp. in three different python species, and G. muris in a central bearded dragon (Pogona vitticeps), suggesting the broadening of the host range for these parasites.

Vaccines and vaccination in prison settings: availability and model of service delivery in 20 European countries.

Prisons, due to various risk factors, are environments that are conducive to infectious disease transmission, with significantly higher prevalence of infectious diseases within prisons compared to the general population. This underscores the importance of preventive measures, particularly vaccination. As part of the international project "Reaching the hard-to-reach: Increasing access and vaccine uptake among the prison population in Europe" (RISE-Vac), this study aimed to map the availability and delivery framework of vaccination services in prisons across Europe and beyond. A questionnaire designed to collect data on the availability and delivery model of vaccination services in prisons was validated and uploaded in SurveyMonkey in July 2023. Then, it was submitted to potential participants, with at least one representative from each European country. Potential participants emailed an invitation letter by the RISE-Vac partners and by the European Organization of Prison and Correctional Services (EUROPRIS). Twenty European countries responded. Vaccines are available in European countries, although their availability differs by country and type of vaccine. The first dose is offered to people living in prisons (PLP), mostly within one month, COVID-19 is the most widely offered vaccine. In all countries, vaccines are actively offered by healthcare workers; in most countries, there is no evaluation of vaccination status among people who work in prison. The survey shows variance in vaccine availability for PLP and staff across countries and vaccine types. Quality healthcare in prisons is not only a matter of the right to health but also a critical public health investment: enhancing vaccine uptake consistently among PLP and staff should be prioritized.

Assessing measles risk transmission in Iran: a utilization of the World Health Organization’s programmatic risk assessment tool,2022

BackgroundDespite successful efforts to eliminate measles in Iran, imported measles cases continue to be reported. Because measles is endemic in neighboring countries. This research aims to evaluate the risk of measles transmission in different regions of Iran.MethodsMeasles case-based surveillance data of the Expanded Program of Immunization containing 31 provinces and 463 districts from 2019 to 2021 were assessed. The WHO Measles Programmatic Risk Assessment tool was used to evaluate the risk of disease transmission in four domains: population immunity, surveillance quality, program delivery performance, and threat assessment. scores were categorized as low, medium, high, or very high risk.ResultsDuring 2019–2021, the average incidence of measles was 1.9 per 1 million. Chabahar and Mashhad with 76 and ./6per million reported the highest and lowest incidence respectively. All 463 districts were categorized as low risk in risk assessment. Andimeshk, Chabahar, and Bojnurd obtained the highest risk scores with 27, 24, and 25 respectively. All districts were classified as low risk for population immunity. The average coverage of (MMR1) and (MMR2) was 95% or higher. All districts received the minimum points for surveillance quality.ConclusionAll regions are placed at a low level of disease transmission risk. However, the tool is not able to assess the risk at the rural or peripheral sectors level. The indicators used in this tool are the same for all countries with different epidemiological features (elimination, endemic). Sensitivity analysis can optimize the use of this tool for countries with different disease conditions.

Mosquito bloodmeals can be used to determine vertebrate diversity, host preference, and pathogen exposure in humans and wildlife

The surveillance and detection of zoonotic pathogens in animals is essential for predicting disease transmission pathways and the risks of spillover, but challenges include the costs, ethics and technical expertise required for vertebrate trapping, serum sampling and antibody or virus screening. Surveillance using haematophagous arthropods as a sampling tool offers a unique opportunity to obtain blood samples from a wide range of vertebrate species, allowing the study of host-mosquito associations, and host exposure to pathogens. We explored vertebrate diversity and potential Ross River virus (RRV) transmission pathways by analysing blood-fed mosquitoes collected in Brisbane, Australia. Host origins were identified using barcode sequencing, and host exposure to RRV was assessed using a modified plaque reduction neutralisation test. In total, 480 blood-fed mosquitoes were collected between February 2021 and May 2022. The host origins of 346 (72%) bloodmeals were identified, with humans (73%) and cattle (9%) comprising the dominant hosts. RRV seroprevalence was high in both vertebrate species with evidence of RRV exposure in 70% (21/30) of cattle and 52% (132/253) of humans. This is a novel, non-invasive method of estimating seroprevalence in vertebrate host populations. Our results highlight the potential of blood-fed mosquitoes to provide species-specific insights into pathogen transmission dynamics.

Evaluation of the Safety and Immunogenicity of a Multiple Epitope Polypeptide from Canine Distemper Virus (CDV) in Mice.

Morbillivirus canis is the etiological agent of a highly contagious disease that affects diverse domestic and wild animals. Vaccination is considered the most suitable strategy for controlling CDV dissemination, transmission, and distemper disease. However, the emergence of new CDV strains has led to the need to update the current vaccine strategies employed to prevent CDV infection in domestic and wild animals. Currently, there is a lack of effective alternatives for wild animals. Diverse computational tools, especially peptide-based therapies, enable the development of new universal vaccines. The aim of this study was to evaluate the safety and humoral and cellular immune response of a new generation of vaccines based on CDV peptides as single-peptide mixtures or multiepitope CDV polypeptides in mice. Twenty-four BALB/c mice were subjected to a three-dose regimen for 28 days. Seroconversion was evaluated via ELISA, and cellular immune responses were evaluated via flow cytometry through activation-induced markers (AIMs). Compared with the placebo, the peptide mixture and multiepitope CDV polypeptide were safe, and seroconversion was statistically significant in the multiepitope CDV polypeptide and commercial vaccine (CV) groups. The numbers of antigen-specific CD4+CD134+ and IFN-γ+ T cells, CD8+ T cells and TNF-α- and IL-6-producing cells were greater in the mice immunized with the multiepitope CDV polypeptide than in the control mice. This combined approach represents a potential step forward in developing new immunization candidates or enhancing current commercial vaccines to control CDV disease in domestic dogs and wild animals.

The Potential of Deep Learning Object Detection in Citizen-Driven Snail Host Monitoring to Map Putative Disease Transmission Sites

The Potential of Deep Learning Object Detection in Citizen-Driven Snail Host Monitoring to Map Putative Disease Transmission Sites

Pairwise Accelerated Failure Time Regression Models for Infectious Disease Transmission in Close-Contact Groups With External Sources of Infection.

Many important questions in infectious disease epidemiology involve associations between covariates (e.g., age or vaccination status) and infectiousness or susceptibility. Because disease transmission produces dependent outcomes, these questions are difficult or impossible to address using standard regression models from biostatistics. Pairwise survival analysis handles dependent outcomes by calculating likelihoods in terms of contact interval distributions in ordered pairs of individuals. The contact interval in the ordered pair is the time from the onset of infectiousness in to infectious contact from to , where an infectious contact is sufficient to infect if they are susceptible. Here, we introduce a pairwise accelerated failure time regression model for infectious disease transmission that allows the rate parameter of the contact interval distribution to depend on individual-level infectiousness covariates for , individual-level susceptibility covariates for , and pair-level covariates (e.g., type of relationship). This model can simultaneously handle internal infections (caused by transmission between individuals under observation) and external infections (caused by environmental or community sources of infection). We show that this model produces consistent and asymptotically normal parameter estimates. In a simulation study, we evaluate bias and confidence interval coverage probabilities, explore the role of epidemiologic study design, and investigate the effects of model misspecification. We use this regression model to analyze household data from Los Angeles County during the 2009 influenza A (H1N1) pandemic, where we find that the ability to account for external sources of infection increases the statistical power to estimate the effect of antiviral prophylaxis.

Impact of compound warm and wet events on dengue fever infection in South and Southeast Asian countries

BackgroundMultiple studies have reported the profound influence of various climate factors on dengue fever infection, while the effects of joint exposure to warm and wet environment, a condition favouring dengue vectors, on disease transmission were less evaluated. This study aims to investigate the impact of various compound temperature, rainfall, and relative humidity exposures on dengue fever infection in the South and Southeast Asia regions. MethodsWeekly dengue fever surveillance data from 2012 to 2020 were collected from 48 locations in four countries named Singapore (1 location), Sri Lanka (15 locations), Malaysia (9 locations), and Thailand (23 locations, with 11 locations having different study periods). The distributed lag non-linear models were built to assess the impacts of compound temperature, rainfall, and relative humidity exposures on dengue fever infection risks. ResultsA total of 1,359,993 dengue fever cases were reported with 9.33%, 24.02%, 48.73%, and 17.91% cases contributed by Singapore, Sri Lanka, Malaysia, and Thailand, respectively. Compared to non-warm-non-wet, compound warm-wet was associated with an increased dengue risk (RR:1.32, 95% CI:1.21–1.44). Compared to moderate temperature-humidity, warm-wet environment was also associated with an increase in dengue risk (RR:1.37, 95% CI:1.22–1.55). In comparison to weeks with moderate temperature-rainfall, warm-wet weeks was linked to an elevated dengue risk (RR:1.39, 95% CI:1.27–1.52), whereas cold-dry weather would significantly reduce the infection risk (RR:0.70, 95% CI:0.62–0.80). Modification effects showed that the hot effect on dengue infection was more pronounced under higher humidity, while the impact of rainfall increased with warmer temperature. ConclusionWarm-wet events were associated with an increased dengue fever risk, while the infection risk would decline in cold-dry environment, and modification effects exist among exposures. Findings from this study highlight the importance of considering joint temperature, humidity, and rainfall dependency of dengue fever infection in disease prevention and control.

Effectiveness of donning and doffing personal protective equipment education using video debriefing among Korean undergraduate nursing students

BackgroundThe use of appropriate personal protective equipment (PPE) in healthcare settings is a very important factor of infection control activities to prevent transmission of infection. In this study, we aimed to develop a non-face-to-face method that can reduce transmission of infection and an educational method that allows self-learning and self-training, and verify the effectiveness of a donning and doffing PPE education using video debriefing on third-year nursing students in clinical train.MethodsThe researcher assigned groups through random sampling using a random number table from the list of research subjects who agreed to participate. Therefore, 35 subjects in the experimental group with an education on donning and doffing PPE using video debriefing and 34 subjects in the control group with video-based training (VBT) were participated in April 2023 at a university in Incheon, South Korea. The evaluation phase involved verifying effects of the education on observer evaluation donningand doffing PPE performance and self-evaluation donningand doffing PPE performance. Satisfaction with the education also assessed immediately after intervention by the experimental group.ResultsThe experimental group had significantly higher scores for observer evaluationdonning (t = 7.84, p < .001) and observer evaluation doffing (t = 6.52, p < .001) PPE performances than the control group. However, there was no significant difference in self-evaluation donning (t = 0.98, p < .330) or doffing PPE performance (t = 0.17, p < .869) between the two groups. In the experimental group that applied video debriefing, learning satisfaction was 4.33 ± 0.82 points out of 5 points.ConclusionsThe education on donning and doffing PPE applying video debriefing was effective. If the education developed in this study is used as a self-learning method to improve the infection control capacity necessary to respond to a disaster crisis caused by infectious diseases, it is considered to be useful for preventing the transmission of infectious diseases in the future.

Dynamics of Feline Sporotrichosis in Espírito Santo, Brazil: Impact of Urbanisation.

Sporotrichosis is a chronic infectious mycosis caused by traumatic implantation of Sporothrix spp., which poses a significant challenge to public health because of its zoonotic nature. It affects humans and other animals, particularly cats. This study investigated epidemiological trends and spatial distribution of feline sporotrichosis in Espírito Santo between 2017 and 2022. This study collected diagnostic data on sporotrichosis from the Veterinary Pathology Laboratory and Center for Infectious Diseases in Espírito Santo from 2017 to 2022. Statistical analyses were performed using STATA and spatial analyses were performed using ArcGIS software to create maps and identify hotspots. Kernel density estimation and directional mean statistics were applied to visualise the disease concentration and transmission trends. The results showed a significant increase in feline sporotrichosis cases in Espírito Santo from 2017 to 2022, with hotspots identified in urban and densely populated areas. Anchieta, Aracruz and Vila Velha reported the highest numbers of cases. Spatial analysis indicated a spread towards the central and northern coastal regions. This study highlights the growing threat of feline sporotrichosis in Espírito Santo, Brazil, particularly in densely populated urban areas. This underscores the urgent need for comprehensive public health strategies that address urbanisation, human-animal interactions and managing stray cat populations. Effective control measures and enhanced surveillance are crucial to mitigate the spread of this zoonotic disease. Importantly, this study provides valuable insights into the epidemiology of sporotrichosis in Brazil and offers a framework for other regions identified as emerging hotspots that face similar challenges.

A new model of the impact of information dissemination with emotional responses on disease transmission in multilayer networks

During disease transmission, the dissemination of information about the disease prompts safety concerns among individuals. Individuals’ various emotional responses to information may affect infection prevention measures and, consequently, disease transmission. In this paper, we propose a new coupled information and disease transmission model with emotional factors in multiplex networks. Our specific focus is on the impact of diverse emotional responses on the dynamics process. We employ the Microscopic Markov Chain Approach (MMCA) to analyze the model, and obtaining state transfer equations, and deriving the disease transmission threshold. Extensive numerical simulations show that dissemination of information by relevant authorities motivates individuals to adopt scientific self-protective behaviors, thus helping to control disease transmission. Furthermore, individuals who have different emotional responses after obtaining information have varying effects on disease transmission, and reducing the anxiety response or increasing the calm response of individuals can more effectively decrease the scale of disease transmission and increase the disease transmission threshold. In summary, improving the quality of information released by the emergency management department, reducing the individual’s anxiety response, and encouraging the adoption of positive and effective protective measures are of paramount importance for epidemic prevention and control.

Climate Change and Vector-Borne Diseases: A Scoping Review on the Ecological and Public Health Impacts

Climate change is increasingly recognized as a significant driver of ecological and public health changes, particularly concerning vectorborne diseases. This scoping review aims to systematically map the current research on the impact of climate change on vector ecology and the subsequent effects on disease transmission dynamics. We conducted a comprehensive literature review across multiple databases to identify critical vectors, such as mosquitoes, ticks, and fleas. We examined how climate variables like temperature, precipitation, and humidity affect their populations, behaviors, and life cycles. Additionally, we explored the shifting geographic distributions of these vectors, investigating how climate change influences their spread and the emergence of diseases such as malaria, dengue, and Lyme disease in new regions. The review highlights the complex and multifaceted interactions between climate change and vector-borne diseases, emphasizing the necessity of understanding these relationships to inform effective public health strategies. Our findings indicate considerable variability in the impacts of climate change across different regions and vector species, underscoring the need for localized studies and tailored interventions. Moreover, significant research gaps were identified, particularly in predictive modeling, long-term surveillance, and the socio-economic impacts of vector-borne diseases exacerbated by climate change. We suggest directions for future research, including the development of integrated climate-health models and enhanced disease surveillance systems, to better anticipate and mitigate the effects of climate change on vector-borne disease transmission. This review underscores the urgency of addressing climate change as a critical component of global health initiatives and the importance of interdisciplinary approaches in tackling this complex issue. Bangladesh Journal of Medical Science Vol. 23 No. 04 October’24 Page : 915-933

Intelligent computing framework to analyze the transmission risk of COVID-19: Meyer wavelet artificial neural networks

The optimum control methods for the epidemiology of the COVID-19 model are acknowledged using a novel advanced intelligent computing infrastructure that joins artificial neural networks with unsupervised learning-based optimizers i.e., Genetic Algorithms (GA) and sequential quadratic programming (SQP). Unsupervised learning strategy is provided which depends on the wavelet basis's sequential deconstruction of stochastic data. The weights or selection values of neural networks are utilizing cumulative algorithms of Meyer wavelet artificial neural networks (MWANNs) optimized with global search Genetic Algorithms (GAs) and Sequential Quadratic Programming (SQP), referred to as MWANNs-GA-SQP and the design technique is utilized to determine the COVID-19 model for five different scenarios employing different step sizes and input intervals. The findings of this research article examined that in order to minimize the total disease transmission at the lowest cost and complexity, safety, focused medical care, and exterior sterilization methods applicability. The provided data is validated through various graphical simulations, which surely authenticate the effectiveness and robustness of the proposed solver. The suggested solver, MWANNs-GA-SQP, is tested in a variety of circumstances to examine that how reliable, safe, and tolerant. Using the proposed MWANNs hubristic intelligent approach, an objective optimization function is created in feed forward neural networking to minimize the mean square error. An investigation of the hybrid GA-SQP is used to confirm the accuracy and dependability of the MWANNs model results. Mean absolute graphs have been constructed to assess the integrity and efficiency of the proposed methodology. The accuracy and reliability of the suggested method are demonstrated by constantly achieving maximum variables of analytical assessment criteria computed for a large appropriate variety of distinct trials.

Harnessing the gut microbiome: a potential biomarker for wild animal welfare.

The welfare of wild animal populations is critically important to conservation, with profound implications for ecosystem health, biodiversity, and zoonotic disease transmission. Animal welfare is typically defined as the accumulated affective mental state of an animal over a particular time period. However, the assessment of animal welfare in the wild poses unique challenges, primarily due to the lack of universally applicable biomarkers. This perspective explores the potential role of the gut microbiome, a dynamic and non-invasive biomarker, as a novel avenue for evaluating animal welfare in wild animals. The gut microbiome, through interactions with the host's physiology, behavior, and cognition, offers a promising opportunity to gain insights into the well-being of animals. In this synthesis, we discuss the distinction between fitness and welfare, the complexities of assessing welfare in wild populations, and the linkages between the gut microbiome and aspects of animal welfare such as behavior and cognition. We lastly elucidate how the gut microbiome could serve as a valuable tool for wildlife managers, with the potential to serve as a non-invasive yet informative window into the welfare of wild animals. As this nascent field evolves, it presents unique opportunities to enhance our understanding of the well-being of wild animals and to contribute to the preservation of ecosystems, biodiversity, and human health.

Contrasting Perceptions, Knowledge, and Actions around Lyme Disease in an Urban Area of Emerging Lyme Disease and an Area of Endemic Lyme Disease in the Northeastern United States.

Lyme disease transmission dynamics in the northeastern United States vary by context. Periurban regions, including Block Island, RI, have experienced decades of endemic transmission. In urban areas, including Staten Island, a borough in New York City, NY, Lyme disease is an emerging issue. Knowledge, attitudes, and practices around Lyme disease evolve as an area progresses from emergent to endemic. We conducted focus group discussions and household surveys within Staten Island, NY and Block Island, RI to compare knowledge, attitudes, and practices surrounding Lyme disease and other tick-borne diseases. Qualitative data were coded into themes, and survey data were used to provide more general context of the focus group discussions. Using item response theory, we developed an index of knowledge from relevant factors within the household survey. We identified a significant difference in knowledge scores between the two study areas. Additionally, we identified key differences across multiple domains. Participants from Block Island were more likely to report prior tick exposure and Lyme disease in themselves or household members and were more likely to express concerns about the environmental impact of mitigation strategies. Individuals on Staten Island were more likely to assign responsibility of prevention and control to local, state, and federal government than to take personal prevention measures. Prevention of Lyme disease and other tick-borne diseases must be tailored to the community context and monitored over time as perceptions and priorities may evolve as transmission dynamics transition from emergent to endemic.

Long-Lasting Insecticidal Net Campaigns for Malaria Control Considering Prioritization and Equity

Malaria remains a significant public health concern in several developing countries. Tropical weather, coupled with poor environmental and socioeconomic conditions, increases mosquito activity and disease transmission in impoverished nations. The most effective strategy to prevent and control malaria is the use of long-lasting insecticidal nets, or LLINs. Ensuring that LLINs are effectively and equitably distributed to those who need them most is crucial yet challenging, especially since financial and health resources are scarce in endemic countries. Through a real-world case study conducted in the Brazilian Amazon, which accounts for 99% of malaria cases in Brazil, we propose a Malaria Vulnerability Index (MVI). This composite index encompasses epidemiological, socioeconomic, and environmental factors. Using the MVI, we developed a prioritization-based location-allocation model to maximize the benefits of targeting the most vulnerable municipalities for malaria interventions. Our mathematical model relies on discrete coverage levels, which makes the allocation of LLINs more flexible while ensuring community-wide protection. We also explore the theoretical relationship between our proposed model and classical demand covering problems. Finally, we discuss some approaches to delivering more equitable solutions by minimizing the number of underserved areas. Our results include comparisons between various malaria interventions and provide practical insights. In particular, we show that we can drastically reduce the number of underserved areas without compromising the effectiveness of the LLINs allocation through lexicographic optimization. The results also reveal that with investment levels up to 50% of the ideal, we can fully protect the endemic area after 2 years of successive interventions.

Scanning of antennae and maxillary palps of anthropophilic Aedes aegypti and ornithophilic Culex pipiens as potential arbovirus vectors

Background and Aim: Efficient mosquito vectors are required to persist and propagate arthropod-borne diseases that seriously affect impoverished populations worldwide. Mosquito sensilla plays a crucial role in host-seeking and disease transmission to humans. This study aimed to distinguish between the several types of sensilla found on the antennae and maxillary palps of Culex pipiens and Aedes aegypti, matching this diversity with host preference and disease transmission. Materials and Methods: Overall, 1300 mosquitoes were collected and examined using dissection and light microscopy. Scanning electron microscopy was used to identify and describe the diverse types of sensilla found on the antennae and maxillary palps of C. pipiens and A. aegypti. Results: In total, 900 C. pipiens and 400 A. aegypti mosquitoes were identified. The antennae and maxillary palps of C. pipiens and A. aegypti carry both sensilla trichoidea and sensilla chaetica. The C. pipiens antenna has long and short grooved peg sensilla, whereas A. aegypti lacks long pegs and expresses only occasional short pegs. The maxillary palps express Capitate pegs in both mosquito species and exclusively show sensilla campaniform in A. aegypti. Conclusion: The lack of long-grooved pegs and the presence of few short pegs, along with campaniform sensilla, limit the host range of A. aegypti and reduce its susceptibility to many infections, unlike C. pipiens. Keywords: Aedes aegypti, Culex pipiens, Scanning electron microscopy, Sensilla.