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Pestology Blog
Lyme Disease, Fire Ant Detection, and Salmonella Vectors
Fairfax, VA – September 1, 2026
In this month's episode, we discuss new research looking into the relationship between tick hosts and Lyme disease prevalence, new tools to detect fire ants, and the potential link between cockroaches and mice as vectors of Salmonella. We're joined this episode by our special guest, Matthew Mehr at Hawx Pest Control!
Featured Article Summaries
Alpha-Gal Data
Host Contributions to Borrelia burgdorferi (Spirochaetales: Spirochaetaceae) Infection Prevalence in Ixodes scapularis (Acari: Ixodidae) Nymphs
Lyme disease is the fastest growing arthropod-vectored disease in the US, with an estimated 476,000 people diagnosed and treated for this illnesses each year. We know the bacterium responsible for the disease is primarily vectored by the blacklegged tick Ixodes scapularis. And we know that several other animals in urban environments that serve as hosts for the blacklegged tick, such as white-footed mice, can serve as important reservoir hosts for the bacterium. Reservoir hosts are animals that can become infected with a pathogen without dying, allowing them to be a continuous source of infection for the ticks. The fact that white-footed mice are important vectors is an important factor, so keep that in mind as I run through this summary.
With the number of annual Lyme disease cases on the rise, the need to better understand the transmission cycle of Lyme disease continues to increase. One important relationship that researchers have used to model disease transmission for other pathogens is the relationship between disease vectors and other wild animal hosts, known as sylvatic hosts. Sylvatic hosts tend to be wild animals that are not as competent at maintaining the disease transmission cycle as reservoir hosts. Researchers refer to this relationship as the dilution effect. The hypothesis behind the dilution effect is that greater wildlife biodiversity in an area could translate to lower disease risk for humans. The logic behind how this theory could apply to Lyme disease transmission is that if you throw a bunch of tick hosts into a community, then infected blacklegged ticks may end up feeding on animals that don't pass along the Lyme bacterium nearly as well as white-footed mice do.
To understand what the dilution effect could tell us about Lyme disease transmission risks, researchers at the University of Texas developed a modeling framework that would examine compiled data sets from previous studies. Two ways their model measured tick-borne disease risk in a given area were nymphal infection prevalence (NIP), which is the percentage of nymphs in an area that are carrying the Lyme disease bacterium. And density of infected nymphs (DIN), the actual number of infected nymphs per unit of land. These two numbers are often used in disease ecology studies and they usually move together, but not always. You can have a community with a very high number of nymphs but fewer nymphs that are actually infected. This would translate to the actual number of infected ticks in the community being just as high, or higher when compared to another community with fewer nymphs overall. Most dilution effect research has leaned heavily on NIP, so the authors at the University of Texas set out to build a model that tracks both metrics side by side.
The researchers combed the literature for biological data on 15 common tick host species found in the northeastern and upper midwestern US (including mice, voles, shrews, chipmunks, squirrels, deer, opossums, raccoons, several songbirds, and even a couple of lizards). For each species they compiled numbers like host density, how many larval ticks it typically attracts, and reservoir competence (essentially, how good that species is at infecting a feeding tick). They then built a mathematical model with a twist most previous models skip: their model accounted for the fact that when a host species disappears from a community, ticks don't always successfully relocate to a different host. In the real world, larvae can just fail to find a replacement blood meal, something previous field studies on lizard removals have documented directly.
Running various host communities through the model turned up some counterintuitive results. Most birds, reptiles, and larger mammals like raccoons, opossums, and deer had little effect on infection prevalence either way, with one big exception: the five-lined skink, which turned out to be a serious dilution host on both nymphal infection prevalence (NIP) and density of infected nymphs (DIN). Skinks attract plenty of hungry larvae but are terrible at passing along the pathogen, so loading a habitat with skinks pulls ticks away from more competent hosts without significantly infecting them. Small mammals, on the other hand, told a much more complicated story. Chipmunks, Sorex shrews, and red-backed voles acted as dilution hosts when added to a mouse-only environment. But, they flipped to amplification hosts once removed from a more diverse community. In other words, whether a species helps or hurts depends entirely on what else is sharing the habitat with it.
Something else I thought was interesting was that the model also uncovered "tipping point" densities. These were where abundance thresholds in a community suddenly shifted from producing mostly uninfected nymphs to mostly infected ones. For mice, that tipping point arrived at a much lower density in a small-mammal-only community versus a fully diverse community, which suggests biodiversity could buffer against a mouse population boom in terms of infection prevalence. But here's where it gets interesting. When the researchers simulated habitat fragmentation by progressively removing species groups, lowering biodiversity consistently raised percentage of infected nymphs (NIP) but often lowered the actual number of infected nymphs per unit of land (DIN). Fewer host species meant a higher proportion of infected nymphs, but also fewer total nymphs being produced, since there were simply fewer animals around to feed the tick population in the first place. A mice-only community, in fact, produced the highest infection prevalence of any scenario tested, but the lowest overall density of infected nymphs.
The takeaway here isn't that the dilution effect is wrong, it's that it's incomplete on its own. And, that this disease transmission cycle is a lot more complicated. A habitat that looks "safer" by percentage of infected nymphs could still be dumping just as many, or more, infected ticks into the landscape once you account for total tick abundance. For pest management professionals doing tick work, especially around wooded areas, edge habitats, and properties bordering wildlife corridors, this is a good reminder that host diversity on a property isn't simply defined as "risky" and "safe." What matters is the whole community of animals using that yard, not just whether mice are present, and both how common infected ticks are and how many of them there actually are on the ground. That means providing recommendations for addressing conducive conditions for wide range of wildlife can be just as important as the treatment itself, since an important factor in disease pressure may be everything other than the ticks themselves living on and around your client’s property.
Article by Michael Bentley, PhD, BCE
References
Fire Ant Detection
SolenopsisDetector: Development of an Automatic Detection System for Fire Ants Using Computer Vision and Deep Learning
Solenopsis invicta, known commonly as the red imported fire ant, is one of the most relevant invasive insect pests in the US right now. They are rapidly spreading from the southeast with their range expanding every year. These ants are ecological terrorists, disrupting native species of ants, agriculture, and of course being a threat to human and pet health from their painful bites and stings.
As with any invasive species, it is critical that we are able to track the spread of these ants and know what areas they have infiltrated. Pest control professionals need to know what they are up against, so they can control these ants. The basis for tracking the spread of any invasive species is proper identification.
Now, ant ID can be very tricky and relies on small features that can be very similar to other kinds of ants. Misidentification of key species can delay control and containment efforts.
Enter, computer vision and deep learning. There are already precedents for computer programs assisting with ant ID. Back in 2024, Mike even covered a paper on the podcast that had robotic dogs identifying fire ant nests with accuracy over 90%. So the basis was there.
The researchers here developed a program called SolenopsisDetector or SolenopD which was based on curated images from veritable sources like AntWeb and iNaturalist. They also got high-quality images from museum specimens. Basically, they made sure to use only the most reliable images and not the general internet which could be riddled with misinformation. They also made sure to get as many angles and specific body parts as possible. This resulted in thousands of images overall. Their image data set contained varying images with different lighting and background types which allow it to be usable for many real-world conditions which are most likely going to be photos under a microscope or under a magnifying glass to see the fine details.
The program was designed to analyze what they call “regions of interest” which are sections of the whole. For example, the head or the abdomen could be different regions to be analyzed. They also used something called bounding boxes, which to oversimplify, is like circling a feature on an image and telling the computer to compare only the boxed in areas to each other.
They tested the program to see how accurate it was and they assessed this based on different metrics asking things like did it correctly identify a specimen, did it say something was a fire ant when it wasn’t or did it say something was NOT a fire ant when it was. These differences affect the associated coding and programming, and the paper details how they went through that process. It gets really in the weeds if you are interested in the software deep dive.
Their comparisons and analysis of accuracy told them that generally, the program was about 18% better at identifying whole ants rather than parts. The most accurate regions amongst the sections were the thorax and abdomen. Which makes sense as a main part for IDs is the nodes or petioles which are next to the abdomen. The reasons for this were a little beyond my computer programming comprehension, but basically the whole ant gave them more info.
But ultimately these two styles of ID were combined into the model to create the best overall product. So the program uses the smaller sections and the overall image to make its identification assessment with the greatest accuracy.
Ultimately, the intended usage of the program is to discern Solenopsis genus ants from other similar often confused genera. This actually aligns itself quite well with the mission of helping invasive ant detection programs as it can differentiate the ants that individuals might mistake for the target species.
The researchers point out a few limitations on what is stopping this from spreading to be an id system for everyone. Namely, that it takes a lot of manpower to vet the images to be used for even one genus, so expanding it to other genera or species would continue to be very time consuming and would have to be strategic about the most pressing species id concerns. Also, that this was trained on worker ants and may not be accurate on male reproductives or queens.
So SolenopD is not necessarily ready to be deployed in your neighborhood, but this paper that outlines the process for such machine learning id potential means we are one step closer to a better pest id tool.
Ellie Sanders, BCE
Salmonella Vectors
Experimental Evaluation of Fecal-Mediated Transfer of Salmonella typhi from Blattella germanica to Mice
It is well-known in our industry that cockroaches are an extremely important public health pest due to their ability to mechanically transmit diseases. Previously, we assumed that because cockroaches crawl through gross stuff, this meant that they were also carrying that gross stuff to the places that we don’t want gross stuff. However, recent research (research I previously covered on the podcast!) has shown that Blattella germanica, or the German cockroach is likely an even more important actor in the spread of Salmonella, which is a causative agent of food-borne illness, than we previously assumed. As a recap for those who happened to miss me yapping about it the first time: this study suggested that German cockroaches may be acting as a vector of Salmonella, where the Salmonella actually multiplies in the gut of the cockroach, and then is eventually excreted by the cockroach, increasing its potential spread.
But questions remained about whether cockroach feces were a viable means of transference of the Salmonella pathogen. In other words, would the Salmonella be passed on in a way that could pass on the pathogen to another organism or even beyond? Is the German cockroach actually working as a vector in this scenario? That’s right- we’re going to learn the answer to the age-old question about what happens if you give a mouse a cockroach-vectored Salmonella infection!
The researchers began feeding German cockroaches with Salmonella enterica serovar Typhi. However, this particular strain of Salmonella was genetically modified to fluoresce when exposed to a certain wavelength. This meant that if the researchers examined the various organisms under a fluorescent microscope, they could track the bright green Vegas lights as an indicator for the presence of Salmonella in the samples. The researchers additionally validated that the amount of fluorescence correlated to the actual numbers of bacteria present as well. In other words, the brighter something glowed, the more bacteria were present in the samples.
The researchers released the cockroaches into a controlled environment with both food and water sources to examine if environmental contamination would occur. The researchers discovered the green fluorescent Salmonella in both the food and the water sources, reinforcing that cockroaches are, in fact, a public health risk and are able to spread the Salmonella simply by being present in the same closed environment.
In addition, the researchers also examined the feces and the guts of the cockroach, and Salmonella was still fluorescing in both up to 7 days post-Salmonella introduction to the cockroach. Therefore, the Salmonella can survive and be shed by the cockroach up to a week after the original encounter with the pathogen, further emphasizing the importance of management of these pests as quickly as possible.
Lastly, the researchers took the feces of the cockroaches that had been fed Salmonella after 24 hours and fed them to mice. Mice are another common culprit in the spread of Salmonella, but the way that they obtain that Salmonella is not fully clear. Following ingestion of the feces, fluorescent signals were detected in the mice feces and intestinal tracts as soon as half an hour after ingestion and persisted up to twelve hours later. It’s important to note that this study did not measure whether the mice got sick, but focused more on if the Salmonella could be detected at all after going through the gauntlet of a mammal’s immune system. And unfortunately for us, this appears that this could be a potential avenue for the transmission of Salmonella.
It is important to note that this is a bit of an unusual scenario for this to occur. This more represents a high-dose exposure scenario, rather than natural transmission. In fact, the researchers even state that they have been conducting preliminary cohousing experiments with mice and infected cockroaches and have not detected the Salmonella in mice. However, what this study still emphasizes is that this is a potential avenue for Salmonella transmission through multiple pests that we are charged with managing. If anything, this study underscores the importance of the work we do, and that understanding how these pathogens are transmitted by these public health pests is essential.
Article by Laura Rosenwald, MS, BCE
References
Geng, Dong-fen, Zhao, Teng, Liu, Xiao-hui, Zhang, Rui-xiang, Yu, Hao-tian, Chen, Xiao-li, Xing, Dan, Wu, Jia-hong, Li, Chun-xiao, Experimental Evaluation of Fecal-Mediated Transfer of Salmonella Typhi From Blattella germanica to Mice, Journal of Tropical Medicine, 2026, 5010895, 10 pages, 2026. https://doi.org/10.1155/jotm/5010895
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