Risk Of Disease Transmission Research Articles

Relating Wildlife Camera Trap Data to Tick Abundance: Testing the Relationship in Different Habitats.

The increase in acarological risk of tick bites is significantly driven by profound changes in landscape, which alter the density and distribution of wildlife that support tick populations. As a result of habitat shifts and land abandonment, which create environments conducive to tick proliferation, the risk of disease transmission to humans and animals is increasing. In this context, it is important to explore tick ecology by applying a comprehensive methodology. In this study, we examined the relationship between wildlife temporal occupancy and tick abundance in two distinct regions: an alpine hunting district and a natural park in the Apennines. For each sampling point, we calculated wildlife temporal occupancy from camera trap pictures and estimated ticks' abundance from dragging transects in the area immediately surrounding camera traps. In modelling the relationship between those two variables, we included abiotic factors such as saturation deficit, normalized difference vegetation index, and altitude. Results show the importance of altitude and wildlife temporal occupancy (itself related to different habitat and land management characteristics) on the ecology of questing ticks. If employed in management decisions for natural environments, such information is useful to modulate the acarological risk and thus the risk of tick-borne pathogens' transmission.

Exploring the influence of environmental indicators and forecasting influenza incidence using ARIMAX models.

Influenza is a respiratory infection that poses a significant health burden worldwide. Environmental indicators, such as air pollutants and meteorological factors, play a role in the onset and propagation of influenza. Accurate predictions of influenza incidence and understanding the factors influencing it are crucial for public health interventions. Our study aims to investigate the impact of various environmental indicators on influenza incidence and apply the ARIMAX model to integrate these exogenous variables to enhance the accuracy of influenza incidence predictions. Descriptive statistics and time series analysis were employed to illustrate changes in influenza incidence, air pollutants, and meteorological indicators. Cross correlation function (CCF) was used to evaluate the correlation between environmental indicators and the influenza incidence. We used ARIMA and ARIMAX models to perform predictive analysis of influenza incidence. From January 2014 to September 2023, a total of 21,573 cases of influenza were reported in Fuzhou, with a noticeable year-by-year increase in incidence. The peak of influenza typically occurred around January each year. The results of CCF analysis showed that all 10 environmental indicators had a significant impact on the incidence of influenza. The ARIMAX(0, 0, 1) (1, 0, 0)12 with PM10(lag5) model exhibited the best prediction performance, as indicated by the lowest AIC, AICc, and BIC values, which were 529.740, 530.360, and 542.910, respectively. The model achieved a fitting RMSE of 2.999 and a predicting RMSE of 12.033. This study provides insights into the impact of environmental indicators on influenza incidence in Fuzhou. The ARIMAX(0, 0, 1) (1, 0, 0)12 with PM10(lag5) model could provide a scientific basis for formulating influenza control policies and public health interventions. Timely prediction of influenza incidence is essential for effective epidemic control strategies and minimizing disease transmission risks.

Rewiring cattle movements to limit infection spread

Cattle tracing databases have become major resources for representing demographic processes of livestock and assessing potential risk of infections spreading by trade. The herds registered in these databases are nodes of a network of commercial movements, which can be altered to lower the risk of disease transmission. In this study, we develop an algorithm aimed at reducing the number of infected animals and herds, by rewiring specific movements responsible for trade flows from high- to low-prevalence herds. The algorithm is coupled with a generic computational model based on the French cattle movement tracing database (BDNI), and used to describe different scenarios for the spread of infection within and between herds from a recent outbreak (epidemic) or a five-year-old outbreak (endemic). Results show that rewiring successfully contains infections to a limited number of herds, especially if the outbreak is recent and the estimation of disease prevalence frequent, while the respective impact of the parameters of the algorithm depend on the infection parameters. Allowing any animal movement from high to low-prevalence herds reduces the effectiveness of the algorithm in epidemic settings, while frequent and fine-grained prevalence assessments improve the impact of the algorithm in endemic settings. Our approach focusing on a few commercial movements is expected to lead to substantial improvements in the control of a targeted disease, although changes in the network structure should be monitored for potential vulnerabilities to other diseases. This general algorithm could be applied to any network of controlled individual movements liable to spread disease.

Use of autologous dentin matrix in bone defects augmentation - a literature review.

A number of regenerative materials are currently used to regenerate or preserve the alveolar pro- cess. One of these is autogenous dentin matrix. With many valuable properties such as easy availability, simple preparation, low cost, low risk of disease transmission and no risk of triggering an immune response against the graft, autogenous dentin matrix appears to be a very good material of choice. The following article is intended to provide an overview of the use of autogenous dentin matrix.

Effective methods for the decontamination of healthcare waste: Ozone and UV-C radiation process

ABSTRACT Human-generated waste, including infectious healthcare waste, poses significant risks to public health and the environment. The COVID-19 pandemic has increased the global production of infectious waste, emphasizing the need for safe and sustainable waste management practices. While autoclaves are commonly used for on-site disposal, alternative methods like ozone gas and UV-C radiation offer environmentally friendly options that effectively eliminate pathogens without leaving toxic residues. Inadequate waste management can contribute to disease transmission, while open burning releases harmful pollutants. This study investigated the effectiveness of different disinfection agents – ozone gas and UV-C radiation – on infectious solid waste contaminated with bacteria. The bacterial indicators examined were Staphylococcus aureus, Bacillus subtilis, and Pseudomonas aeruginosa. The experimental methods included operating each ozone and UV-C radiation individually and simultaneously using ozone gas and UV-C radiation. The study also investigated exposure times and various concentrations of ozone gas. The findings demonstrated that the simultaneous application of ozone gas and UV-C radiation was the most effective method for decontaminating infectious solid waste and targeting the selected bacteria. The concentration of ozone gas ranged from 165 to 5000 ppm, depending on generation time and treatment chamber volume, while exposure times varied from 1 to 180 minutes. In applying UV-C rays, complete elimination of S. aureus was observed after 60 minutes up to 6-log, while the reduction of B. subtilis and P. aeruginosa were 2-log and 3-log, respectively. Ozone gas had the ability to inactivate all strains, but when ozone gas and UV-C rays were used simultaneously, this process was accelerated and improved. The total reduction in the bacterial load was 8-log. Considering the increase in population and the subsequent increase in waste generation, adopting an environmentally friendly waste management method can be very advantageous. Implications: This study highlights the effectiveness of simultaneously applying ozone gas and UV-C radiation for decontaminating infectious solid waste, offering an environmentally friendly alternative to traditional thermal treatments like autoclave and incineration. By optimizing ozone concentrations and exposure times, this method reduces disease transmission risks and minimizes environmental impact. These findings are crucial, especially during outbreaks such as the COVID-19 pandemic, providing scalable, sustainable waste management solutions for healthcare facilities. Implementing these techniques can protect public health and the environment, setting a new standard for safe infectious waste disposal worldwide, mitigating hazardous pollutants, and reduce the exposure risk of bio-hazardous residues.

Pregnancy in women with mitochondrial disease-A literature review and suggested guidance for preconception and pregnancy care.

Mitochondrial donation to reduce the risk of primary mitochondrial disease transmission from mother to child is now permitted under Australian law as part of a clinical trial. The energy demands of pregnancy have the potential to worsen mitochondrial disease symptoms and severity in affected women. We conducted a systematic literature review on mitochondrial disease in pregnancy; five cohort studies and 19 case reports were included. For many women with mitochondrial disease, pregnancy does not have a negative effect on health status. However, serious adverse outcomes may occur. We provide suggested guidelines for preconception counselling and antenatal care.

Mosquito dynamics and their drivers in peri-urban Antananarivo, Madagascar: insights from a longitudinal multi-host single-site survey

BackgroundAntananarivo, the capital city of Madagascar, is experiencing a steady increase in population growth. Due to the abundance of mosquito vectors in this locality, the population exposed to mosquito-borne diseases is therefore also increasing, as is the risk of epidemic episodes. The aim of the present study was to assess, in a resource-limited setting, the information on mosquito population dynamics and disease transmission risk that can be provided through a longitudinal entomological study carried out in a multi-host single site.MethodsMosquitoes were collected every 15 days over 16 months (from January 2017 to April 2018) using six CDC-light traps in a peri-urban area of Antananarivo. Multivariable generalised linear models were developed using indoor and outdoor densities of the predominant mosquito species as response variables and moon illumination, environmental data and climatic data as the explanatory variables.ResultsOverall, 46,737 mosquitoes belonging to at least 20 species were collected, of which Culex antennatus (68.9%), Culex quinquefasciatus (19.8%), Culex poicilipes (3.7%) and Anopheles gambiae sensu lato (2.3%) were the most abundant species. Mosquito densities were observed to be driven by moon illumination and climatic factors interacting at different lag periods. The outdoor models demonstrated biweekly and seasonal patterns of mosquito densities, while the indoor models demonstrated only a seasonal pattern.ConclusionsAn important diversity of mosquitoes exists in the peri-urban area of Antananarivo. Some well-known vector species, such as Cx. antennatus, a major vector of West Nile virus (WNV) and Rift-Valley fever virus (RVFV), Cx. quinquefasciatus, a major vector of WNV, Cx. poicilipes, a candidate vector of RVFV and An. gambiae sensu lato, a major vector of Plasmodium spp., are abundant. Importantly, these four mosquito species are present all year round, even though their abundance declines during the cold dry season, with the exception of Cx. quinquefasciatus. The main drivers of their abundance were found to be temperature, relative humidity and precipitation, as well as—for outdoor abundance only—moon illumination. Identifying these drivers is a first step towards the development of pathogen transmission models (R0 models), which are key to inform public health stakeholders on the periods of most risk for vector-borne diseases.Graphical

Bolstering community resilience through health-focused climate change adaptation: moving from talk to action in Western Canadian communities

ABSTRACT The impacts of climate change have been recognized as a global health emergency. Worsening climate stressors are resulting in injury, illness and death. As this threat to health grows, so does the need to adapt. Climate change adaptation has been noted to reduce the risk of disease transmission, chronic illness exacerbation, physical trauma, and the mental health impacts associated with climate change. Cities across Western Canada have initiated the process of implementing health-focused climate change adaptation; however, progress has been slow, leaving communities vulnerable to health threats. Exploring five case study communities in Western Canada, this research sheds light on factors that enable and constrain progress on health-focused climate change adaptation. Research objectives are addressed through analysis of 16 key actor interviews (with experts in public health, planning, local governance, and other related fields), and a scan of relevant strategic planning documents. Results indicate that political will, expertise, and awareness has resulted in the development of health-focused climate change adaptation policy/ plans. However, implementation of these plans lags in practice. This lag stems from a lack of implementation detail in climate change adaptation plans, limited understanding of the impact of climate change on health, and jurisdictional confusion.

Bayesian spatio-temporal modeling to assess the effect of land-use changes on the incidence of Cutaneous Leishmaniasis in the Brazilian Amazon

Cutaneous Leishmaniasis (CL) is a vector-borne disease caused by a protozoan of the genus Leishmania and is considered one of the most important neglected tropical diseases. The Brazilian Amazon Forest harbors one of the highest diversity of Leishmania parasites and vectors and is one of the main focuses of the disease in the Americas. Previous studies showed that some types of anthropogenic disturbances have affected the abundance and distribution of CL vectors and hosts; however, few studies have thoroughly investigated the influence of different classes of land cover and land-use changes on the disease transmission risk. Here, we quantify the effect of land use and land-cover changes on the incidence of CL in all municipalities within the Brazilian Amazon Forest, from 2001 to 2017. We used a structured spatiotemporal Bayesian model to assess the effect of forest cover, agriculture, livestock, extractivism, and- deforestation on CL incidence, accounting for confounding variables such as population, climate, socioeconomic, and spatiotemporal random effects. We found that the increased risk of CL was associated with deforestation, especially modulated by a positive interaction between forest cover and livestock. Landscapes with ongoing deforestation for extensive cattle ranching are typically found in municipalities within the Amazon Frontier, where a high relative risk for CL was also identified. These findings provide valuable insights into developing effective public health policies and land-use planning to ensure healthier landscapes for people.

Beliefs, taboos, usages, health perceptions, and practices toward wildlife among different ethnicities in Tak and Mae Hong Son Provinces, Thailand

This concurrent qualitative study was carried out with the main objective to determine wildlife beliefs, taboos, usages, health perceptions, and practices among ten ethnic groups in four communities in Tak and Mae Hong Son provinces of Thailand from November 2020 to January 2021. We also gathered comprehensive information on study respondents’ knowledge related to potential risk behaviors that could lead to zoonotic disease transmission and infection. Furthermore, we intended to use the study’s findings to develop communication strategies and health literacy improvement interventions for mitigating risky behaviors, with a focus on ethnic groups and particular individuals who live in close proximity to forests and wildlife, to prevent future pandemics. Sixty-five respondents were purposively selected based on their extensive knowledge, active participation in local cultural contexts, beliefs, and exposure to wildlife contact or consuming game animals. Twenty (30.8%) participated in in-depth interviews (IDIs), while 45 (69.2%) participated in eight focused group discussions (FGDs). The results revealed that the characteristics of wildlife contact are similar and distinct based on their beliefs and taboos among various ethnic groups and study locations, which are influenced by cultural backgrounds and traditions. Although some ethnic groups do not have explicit restrictions on the consumption of wildlife, others adhere to specific beliefs and taboos that forbid the consumption or killing of specific wild animals. These beliefs frequently correspond with conservation initiatives, thereby facilitating the preservation of threatened species. The study also revealed a lack of appropriate health knowledge, perceptions, and practices regarding wildlife contact and consumption. As a result, it is recommended that public health officials and local governments develop and execute communication and education initiatives. These campaigns should aim to increase health literacy and promote safe handling, preparation, and cooking practices to reduce the risk of zoonotic disease transmission and infection effectively. Moreover, it is necessary to design and implement wildlife conservation education and outreach activities. The programs should promote environmental stewardship while considering the cultural contexts, beliefs, and practices of various ethnic groups. The activities should involve diverse stakeholders, including local leaders, religious influencers, community members, schoolteachers, students, health professionals, village health volunteers, and civil society organizations.

Risk of BSE transmission when fishmeal derived from fish fed bovine spray-dried red blood cells is included in calf milk replacers

The use of residual streams from agricultural production and food consumption containing animal proteins entails the risk of disease transmission as illustrated by the epidemics of bovine spongiform encephalopathy (BSE) and African swine fever. To combat this risk, the use of animal proteins in livestock feed was banned in the European Union, resulting in a drain of valuable proteins from the agricultural system. With an increasing call for a circular food system, the use of residual streams as a feed ingredient needs to be reconsidered with the associated disease risks being assessed and mitigated where needed. In this study, we assessed the BSE risk of bovine spray-dried red blood cells (SDRBC) as an ingredient of aquafeed. Fish fed with bovine SDRBC could indirectly result in exposure of ruminants to BSE infectivity because one of the exemptions of the feed ban is the use of fishmeal as an ingredient in calf milk replacers. A quantitative risk model was built to evaluate the BSE infectivity present in blood sourced from a slaughtered BSE-infected cow and the reduction of infectivity due to processing steps along the production chain. The end point of the model was the BSE infectivity, expressed in cattle oral ID50 (CoID50), reaching calves fed calf milk replacer containing fishmeal, and the corresponding probability that this will result in at least one new BSE infection.The expected BSE infectivity in blood from a BSE-infected cow at the clinical end state of infection is 0.75 CoID50 (median value). Infectivity in blood mainly results from cross-contamination with brain tissue during stunning at the slaughterhouse. The initial infectivity is reduced along the pathway from slaughtered cow to calf milk replacer, with the highest reduction achieved by clearance of infectivity by fish fed bovine SDRBC as an ingredient of aquafeed, although this parameter has high uncertainty. The final infectivity reaching calves via inclusion of fishmeal in calf milk replacer is estimated to be very low (median value: 1.1 × 10−5 CoID50). Assuming an exponential dose-response model, this corresponds with an expected probability that < 10 out of a million slaughtered BSE-infected cows will result in new BSE infections, which is far below the threshold value of 1 for the basic reproduction number (R0) to initiate a new epidemic. We thus conclude that it is very unlikely that the use of bovine SDRBC as ingredient of aquafeed will result in a new BSE epidemic in cattle. What-if analysis indicated that this conclusion is robust, despite high uncertainty for some input parameters.

Enhancing bone regeneration: Unleashing the potential of magnetic nanoparticles in a microtissue model.

Bone tissue engineering addresses the limitations of autologous resources and the risk of allograft disease transmission in bone diseases. In this regard, engineered three-dimensional (3D) models emerge as biomimetic alternatives to natural tissues, replicating intracellular communication. Moreover, the unique properties of super-paramagnetic iron oxide nanoparticles (SPIONs) were shown to promote bone regeneration via enhanced osteogenesis and angiogenesis in bone models. This study aimed to investigate the effects of SPION on both osteogenesis and angiogenesis and characterized a co-culture of Human umbilical vein endothelial cells (HUVEC) and MG-63 cells as a model of bone microtissue. HUVECs: MG-63s with a ratio of 4:1 demonstrated the best results among other cell ratios, and 50 μg/mL of SPION was the optimum concentration for maximum survival, cell migration and mineralization. In addition, the data from gene expression illustrated that the expression of osteogenesis-related genes, including osteopontin, osteocalcin, alkaline phosphatase, and collagen-I, as well as the expression of the angiogenesis-related marker, CD-31, and the tube formation, is significantly elevated when the 50 μg/mL concentration of SPION is applied to the microtissue samples. SPION application in a designed 3D bone microtissue model involving a co-culture of osteoblast and endothelial cells resulted in increased expression of specific markers related to angiogenesis and osteogenesis. This includes the design of a novel biomimetic model to boost blood compatibility and biocompatibility of primary materials while promoting osteogenic activity in microtissue bone models. Moreover, this can improve interaction with surrounding tissues and broaden the knowledge to promote superior-performance implants, preventing device failure.

Assessing the risk of transfusion-transmitted variant Creutzfeldt-Jakob disease: a European perspective.

Several countries have recently reassessed the international risk of variant Creutzfeldt-Jakob disease (vCJD) transmission through transfusion of blood and blood components (red blood cells, platelets and plasma) and relaxed donor deferrals based on geographic and transfusion exposure in countries formerly considered to be high risk, such as the UK. In this regard, the European Blood Alliance organised a consensus meeting of experts and involved professionals to discuss current knowledge, epidemiological data, prevention and various methods for assessing the risk of transfusion-transmitted vCJD, as well as to develop an appropriate position on possible approaches to address these challenges in Europe. Participants reached a consensus that the current risk of transfusion-transmitted vCJD associated with blood donors who either travelled to or received transfusions in the UK during the vCJD outbreak is minimal. In addressing such risks, it would be pragmatic that assessments and guidelines are developed by European expert bodies, rather than individual assessments by Member States. Regardless of the approach used, European or national, a qualitative risk assessment based on a review and analysis of available data, considering all the uncertainties and experiences of other countries, would provide crucial information to reassess blood donation strategies regarding the transfusion-associated vCJD risk.

Detection of equine herpesvirus antibodies in large-scale donkey farms in Liaocheng area.

Equine herpesvirus (EHV) can cause respiratory, reproductive and neurological diseases in equine animals, including donkeys. The main pathogens responsible for these diseases are EHV type 1 (EHV-1) and EHV-4. In this study, we collected serum samples from 230 donkeys on 27 large-scale donkey farms to detect EHV-1 and EHV-4 antibodies. We analyzed the presence of EHV antibodies based on region, age and season. Out of the 27 farms, 62.96% (17/27) tested positive for EHV. Of the 230 donkeys tested, 2.61% (6/230) were positive only for EHV-1, 5.22% (12/230) were positive only for EHV-4, and 4.78% (11/230) were positive for both EHV-1 and EHV-4. The highest percentage of positive donkeys (21.28%) was found in Dong'e County. The seropositivity rate among donkeys aged 1-4 years was significantly higher compared to the group of donkeys aged 0-1 year (p < 0.05). Additionally, the positive rate was significantly higher in fall and winter compared to spring and summer (p < 0.05). Altogether, our findings indicate that large-scale donkey farms in the Liaocheng area have a high prevalence of EHV antibodies. Since Liaocheng is an important donkey trading market in Shandong Province, it is crucial to consider the risk of disease transmission based on our test results. This will help in early detection and prevention of EHV outbreaks.

Managing risk of infectious disease transmission at religious mass gatherings.

Managing risk of infectious disease transmission at religious mass gatherings.

Efficacy and safety of therapeutic vaccines for the treatment of chronic hepatitis B: A systematic review and meta-analysis of randomized controlled trials update.

Most people diagnosed with chronic hepatitis B (CHB) need treatment to help reduce the risk of liver disease and limit disease transmission. Therapeutic vaccine (TV) candidates have been under study for their clinical effects on inducing HBV-specific host immune responses. This review aimed to systematically synthesize updated evidence on the efficacy and safety of TVs in patients with CHB. This systematic review was performed by searching different databases from January to February 2021. Completed randomized controlled trials that reported TVs' efficacy and/or safety for treating CHB compared with the standard of care (SOC) or placebo were included. Efficacy and safety estimates were reported as the logarithm of the odds ratio and risk differences, respectively. I2 > 50% was considered significant heterogeneity. Significant publication bias was considered when Egger's test P value < .10. The risk of bias was assessed using the Cochrane Risk of Bias tool. The GRADE methodology was used to assess the certainty of the evidence for each outcome. Twenty-four articles with 2889 pooled samples were included. TVs made a significant difference in hepatitis B envelope antigen (HBeAg) SC (log OR = 0.76, P = .01) and (log OR = 0.40, P = .03) compared to placebo and combination therapy, respectively. HBeAg SC was significantly affected by TVs at the end of follow up (log OR = 0.49, P = .01), with significant HBsAg mean difference (MD = -0.62, P = .00). At the end of treatment, the TVs had no significant effect on HBV DNA negativity over the SOC (log OR = 0.62, P = .09) or placebo (log OR = -0.07, P = .91). TVs do not significantly affect the risk of serious adverse events (RD 0.02, 95% CI 0.00-0.04). In patients with CHB, TVs had significant effects on HBeAg SC compared to the SOC or placebo. There was no significant difference between serious adverse events. TVs are promising treatment strategy to overcome CHB.

The Impact of Solid Waste Management Practices on Vector-Borne Disease Risk in Thiruvanathapuram

Vector-borne diseases (VBDs), including dengue, chikungunya, and malaria, present ongoing public health challenges, particularly in urban areas of tropical regions. Thiruvananthapuram, the capital city of Kerala, has seen a concerning rise in VBD cases, correlating with the city's rapid urbanization and inadequate solid waste management (SWM) practices. Poorly managed waste contributes to the proliferation of disease vectors, such as mosquitoes, by providing ideal breeding grounds, thereby exacerbating the risk of disease transmission. Despite the known association between inadequate SWM and VBDs, there is a paucity of localized studies that quantitatively examine this relationship in Thiruvananthapuram. This study seeks to bridge this gap by investigating the impact of existing SWM practices on the incidence of VBDs in the city. The findings aim to inform public health strategies and policy interventions that can mitigate the risk of VBDs through improved waste management. This cross-sectional study was conducted across 20 wards in Thiruvananthapuram, selected based on their varying levels of SWM effectiveness and reported VBD cases. Data collection involved field surveys to assess SWM practices, structured interviews with residents, and observational studies to identify potential breeding sites for vectors. Health records were analyzed to map the distribution of VBD cases in these wards. Statistical analyses, including correlation and regression, were employed to explore the relationship between SWM practices and VBD incidence. The study revealed a significant correlation between poor SWM practices and elevated VBD risk. Wards with inadequate waste management infrastructure exhibited a 40% higher incidence of dengue and chikungunya cases compared to areas with better-managed waste disposal systems (p &lt; 0.01). Notably, 65% of households in the high-risk wards were found to dispose of waste improperly, contributing to the creation of vector breeding sites. Additionally, only 42% of residents were aware of the link between improper waste disposal and increased VBD risk, highlighting a critical gap in public awareness. This study concludes that inadequate SWM practices are a major contributor to the elevated risk of VBDs in Thiruvananthapuram. Addressing these challenges through improved waste management infrastructure and increased public awareness is crucial for reducing disease incidence. The outcomes of this research provide essential insights for local authorities and policymakers, emphasizing the urgent need for effective interventions to combat VBDs in urban areas.

First identification of Angiostrongylus spp. in Lissachatina fulica and Cornu aspersum in Antioquia, Colombia

Abdominal and neural angiostrongyliasis caused by Angiostrongylus costaricensis and A. cantonensis, respectively, are zoonotic diseases involving snails as intermediate hosts. Colombia has already reported human cases, and the increasing distribution of Lissachatina fulica and Cornu aspersum raises public health concerns due to the potential risk of disease transmission in areas where parasites and hosts coexist. To identify the presence of Angiostrongylus spp. in snail species L. fulica and C. aspersum in Antioquia, Colombia. This prospective cross-sectional study had a population of 5,855 L. fulica and C. aspersum snails captured in the ten towns of the Valle de Aburrá (Antioquia, Colombia), 169 samples were collected in 28 sampling points. Lung tissues of the collected snails were dissected and analyzed to detect Angiostrongylus spp. through molecular techniques. Angiostrongylus spp. were identified in both L. fulica and C. aspersum. Angiostrongylus costaricensis was detected in 18 pooled prevalence of 30% (95% CI = 19.2-43.3), and Medellín was the municipality with the highest number of positive samples (33.3%). Seventy-two-point-two percent of the positive places reported the presence of rodents. None of the tests were positive for A. cantonensis. Our findings provide important insights into the epidemiology and distribution of Angiostrongylus spp. in Antioquia, Colombia. The identification of these parasitic nematodes in L. fulica and C. aspersum highlights the potential role of these snails as intermediate hosts in the transmission of Angiostrongylus spp. infections in the Valle de Aburrá, with implications for human and veterinary health.

Spatiotemporal Modeling of Aedes aegypti Risk: Enhancing Dengue Virus Control through Meteorological and Remote Sensing Data in French Guiana.

French Guiana lacks a dedicated model for developing an early warning system tailored to its entomological contexts. We employed a spatiotemporal modeling approach to predict the risk of Aedes aegypti larvae presence in local households in French Guiana. The model integrated field data on larvae, environmental data obtained from very high-spatial-resolution Pleiades imagery, and meteorological data collected from September 2011 to February 2013 in an urban area of French Guiana. The identified environmental and meteorological factors were used to generate dynamic maps with high spatial and temporal resolution. The study collected larval data from 261 different surveyed houses, with each house being surveyed between one and three times. Of the observations, 41% were positive for the presence of Aedes aegypti larvae. We modeled the Aedes larvae risk within a radius of 50 to 200 m around houses using six explanatory variables and extrapolated the findings to other urban municipalities during the 2020 dengue epidemic in French Guiana. This study highlights the potential of spatiotemporal modeling approaches to predict and monitor the evolution of vector-borne disease transmission risk, representing a major opportunity to monitor the evolution of vector risk and provide valuable information for public health authorities.

Impact of initial outbreak locations on transmission risk of infectious diseases in an intra-urban area

Infectious diseases usually originate from a specific location within a city. Due to the heterogenous distribution of population and public facilities, and the structural heterogeneity of human mobility network embedded in space, infectious diseases break out at different locations would cause different transmission risk and control difficulty. This study aims to investigate the impact of initial outbreak locations on the risk of spatiotemporal transmission and reveal the driving force behind high-risk outbreak locations. First, we built a SLIR (susceptible-latent-infectious-removed)-based age-stratified meta-population model, integrating mobile phone location data, to simulate the spreading process of an infectious disease across fine-grained intra-urban regions (i.e., 649 communities of Shenzhen City, China). Based on the simulation model, we evaluated the transmission risk caused by different initial outbreak locations by proposing three indexes including the number of infected cases (CaseNum), the number of affected regions (RegionNum), and the spatial diffusion range (SpatialRange). Finally, we investigated the contribution of different influential factors to the transmission risk via machine learning models. Results indicate that different initial outbreak locations would cause similar CaseNum but different RegionNum and SpatialRange. To avoid the epidemic spread quickly to more regions, it is necessary to prevent epidemic breaking out in locations with high population-mobility flow density. While to avoid epidemic spread to larger spatial range, remote regions with long daily trip distance of residents need attention. Those findings can help understand the transmission risk and driving force of initial outbreak locations within cities and make precise prevention and control strategies in advance.