Field Notes & Dispatches

Introduction to Cyclospora cayetanensis and Cyclosporiasis

Cyclosporiasis is an enteric diarrheal illness caused by the apicomplexan protozoan parasite Cyclospora cayetanensis. First formally described and named roughly twenty-five years ago, the pathogen is globally distributed and has become a prominent cause of foodborne enteric disease in developed nations^[1]. Cases of domestically acquired foodborne cyclosporiasis in the United States primarily occur during a defined seasonal window spanning from late spring through late summer. Accordingly, the annual cyclosporiasis season is typically recognized by federal health agencies as extending from May 1 through August 31, a period historically associated with the importation and consumption of contaminated fresh produce^[2].

The 2026 epidemiological season, however, presented a severe departure from historical baselines, escalating into one of the largest and most complex cyclosporiasis events in recent United States history^[2]. Commencing precisely on May 1, the 2026 outbreak season tested the limits of national surveillance systems and public health response mechanisms^[2]. By mid-summer, health agencies were tracking tens of thousands of confirmed and probable cases across the country, heavily driven by a massive multistate outbreak linked to contaminated iceberg lettuce sourced from central Mexico^[2].

The scale of the 2026 outbreak highlights critical vulnerabilities within the globalized fresh produce supply chain. It also underscores systemic challenges in infectious disease surveillance, specifically the inevitable lags between local case identification and federal reporting, as well as the inherent biological and molecular complexities involved in tracing parasitic pathogens. This report provides an exhaustive analysis of the 2026 cyclosporiasis outbreak, transitioning from a high-level epidemiological overview to an in-depth examination of the pathogen’s unique biology, the advanced molecular diagnostic tools utilized in genomic surveillance, and the broader structural public health implications of the crisis.

Epidemiological Landscape of the 2026 Outbreak

National Surveillance and Case Distribution

The sheer volume of cases reported during the 2026 season represents a substantial increase compared to historical baselines. For context, by mid-July of 2025, the Centers for Disease Control and Prevention (CDC) had reported only 249 cases nationally^[4]. In stark contrast, as of August 3, 2026, the CDC recorded 10,468 laboratory-confirmed, domestically acquired cases of cyclosporiasis across 47 states^[2]. These domestic figures represent individuals who developed symptoms after consuming food within the United States and reported no international travel during the 14-day incubation period prior to illness onset^[2].

The demographic distribution of the affected population is remarkably broad. Domestically acquired cases ranged in age from 1 to 98 years, with a median age of 45 years^[2]. There is a slight female predominance, with females comprising 56 percent of the reported domestic cases^[2]. The median date for illness onset was identified as July 4, 2026, though the full range of onset dates extends from May 1 through late July^[2]. Alongside these domestic cases, federal surveillance networks tracked 1,341 travel-associated cases during the same period. These travel-related illnesses occurred in individuals aged 10 months to 95 years across 44 states, bringing the total number of confirmed cases actively tracked by federal authorities to nearly 12,000^[2].

The table below summarizes the core epidemiological data reported by federal authorities as of early August 2026.

State-Level Disparities and Surveillance Lags

While the national data presents a severe outbreak, an analysis of localized state-level data reveals critical disparities, suggesting the true burden of the disease is significantly higher than federal numbers indicate. The CDC explicitly noted awareness of more than 12,255 additional cases of cyclosporiasis requiring further investigation or lacking definitive laboratory confirmation^[2].

The state of Michigan emerged as the undisputed epicenter of the 2026 outbreak. State-level data published by the Michigan Department of Health and Human Services (MDHHS) reported 11,234 total cases and 193 hospitalizations, a figure that alone surpasses the CDC's total confirmed domestic case count^[3]. Furthermore, health officials confirmed two cyclosporiasis-related deaths in Michigan^[3]. Both fatalities occurred in individuals who possessed significant underlying health conditions that were exacerbated by the severe dehydration and physiological stress associated with the parasitic infection^[3].

Other states similarly reported localized surges that eclipsed their historical averages. North Carolina, for instance, historically identifies approximately 150 cases of cyclosporiasis annually^[6]. By August of 2026, the state had already recorded 867 cases, dwarfing the 332 cases seen in 2025 and the 151 cases recorded in 2023^[6]. Even states on the West Coast, which did not receive direct distribution of the implicated food vehicles, felt the ripple effects through domestic travel. Washington State identified 38 cases by late July 2026; notably, two of these cases involved individuals who became ill after traveling to Michigan and dining at restaurants linked to the primary outbreak^[7].

The vast discrepancy between state and federal reporting numbers highlights a persistent structural issue in public health data aggregation: the surveillance lag. Federal authorities operate with an estimated six-week reporting lag between the onset of a patient's illness and the formal registration of the case at the CDC^[2]. Additionally, federal surveillance updates strictly tabulate laboratory-confirmed cases, whereas state health departments often aggregate both confirmed and epidemiologically linked probable cases^[2]. Consequently, real-time outbreak management relies heavily on localized data, as the federal picture remains inherently retrospective.

The Role of FoodNet in Modern Surveillance

The rapid expansion of the 2026 outbreak prompted scrutiny regarding recent changes to federal surveillance networks. In 2025, the CDC's Foodborne Disease Active Surveillance Network (FoodNet) underwent a structural shift, reducing the number of pathogens it actively tracked to only two: Salmonella and Shiga toxin-producing Escherichia coli (STEC)^[8]. Some public health observers speculated that removing Cyclospora from routine FoodNet tracking contributed to the severity of the 2026 outbreak by blinding federal health officials to the early warning signs^[8].

However, infectious disease experts have clarified that this speculation misinterprets the fundamental purpose of the FoodNet system. Dr. Craig Hedberg, a prominent epidemiologist, noted that FoodNet was never designed or utilized to spot emerging foodborne illnesses or detect acute outbreaks in real-time^[8]. Instead, the network is intended to monitor long-term trends over time, helping officials estimate the overall national burden of illness associated with specific pathogens year over year^[8]. The failure to rapidly detect the 2026 outbreak was not a failure of FoodNet, but rather a reflection of the inherent difficulties in tracing a pathogen with a long incubation period through complex, multi-layered supply chains.

Source Attribution and Traceback Investigations

The Iceberg Lettuce Vector and the Taylor Farms Recall

Identifying the source of a Cyclospora outbreak is notoriously difficult due to the pathogen's prolonged incubation period. Symptoms typically manifest approximately one week after exposure, but the incubation can range from two days to over two weeks^[4]. By the time a patient becomes symptomatic, seeks medical care, undergoes specific parasitic testing, and is interviewed by state health departments, weeks have often passed. Patients struggle to recall specific dietary exposures with granular accuracy, complicating the identification of a common food vehicle^[5].

Despite these challenges, rigorous epidemiological investigations and ingredient-level traceback analyses successfully converged on a single agricultural source for the primary 2026 outbreak cluster: shredded iceberg lettuce^[2]. Specifically, the traceback data linked the contamination to iceberg lettuce grown and processed in central Mexico and distributed by Taylor Farms de Mexico^[2].

On July 17, 2026, Taylor Farms de Mexico initiated a massive voluntary recall, removing all iceberg lettuce sourced from central Mexico from the United States market^[2]. The recall parameters included both bulk products distributed to food service operations and bagged salads sold directly to consumers at retail grocery chains, most notably the Marketside-brand products distributed at Walmart^[5]. Distribution records provided to the Food and Drug Administration (FDA) indicated that the implicated lettuce had been shipped to at least 27 states across the South, Midwest, and East Coast between June 29 and July 16, 2026^[5].

The Restaurant Industry Impact: The Taco Bell Sub-Cluster

A critical mass of the epidemiological data driving the traceback investigation was derived from a massive sub-cluster of cases linked to a single commercial entity: Taco Bell^[5]. Because fast-food restaurants rely on highly centralized supply chains, identifying a point-source outbreak across multiple regional locations often points back to a shared distributor.

Public health officials identified at least 1,947 individuals infected with Cyclospora who explicitly reported consuming food from Taco Bell restaurants in the two weeks preceding their illness^[5]. This specific sub-cluster spanned across nine states and resulted in at least 98 hospitalizations^[5]. To narrow down the specific contaminated ingredient, the Michigan Department of Health and Human Services conducted granular ingredient-level analyses on 190 cases linked to the restaurant chain. The analysis revealed a remarkable 90 percent exposure rate to shredded iceberg lettuce among the interviewed patients^[5]. Following this determination, the restaurant chain immediately ceased the use of the implicated lettuce at all affected locations^[5].

The distribution of cases within the Taco Bell sub-cluster is detailed in the table below, reflecting the geographic concentration of the contaminated supply chain distribution in the Midwest.

Data reflects minimum confirmed cases linked to the restaurant sub-cluster as of late July 2026. The true number of cases is likely higher due to untested individuals recovering without medical care^[9].

Chronology of the Outbreak Response

The timeline of the outbreak underscores the rapid escalation of the crisis and the delayed response of federal agencies, a point of significant contention among infectious disease experts. The table below details the critical milestones of the 2026 outbreak.

Biology and Pathogenesis of Cyclospora cayetanensis

To understand the intractability of cyclosporiasis outbreaks and the difficulty in halting transmission, it is necessary to examine the fundamental biology and lifecycle of the causative agent. Cyclospora cayetanensis is a microscopic, single-celled protozoan parasite belonging to the phylum Apicomplexa, class Sporozoasida, and family Eimeriidae^[1]. While oocysts resembling Cyclospora have been found in the feces of various animals—including dogs, mice, primates, and avian species—these are often different species or represent transient passage without tissue infection^[1]. C. cayetanensis is the only species within its genus known to infect humans, and it acts as an obligate human parasite^[1]. It strictly requires a human host for the parasitic phases of its lifecycle, meaning that environmental contamination invariably indicates the introduction of human fecal material into agricultural water or soil^[1].

The Parasitic Lifecycle and Environmental Maturation

The lifecycle of C. cayetanensis features a necessary environmental maturation phase, a biological characteristic that heavily influences public health guidance. When an infected human host defecates, they excrete unsporulated oocysts in their feces^[1]. These freshly excreted oocysts are not immediately infectious to other humans^[8]. Therefore, direct person-to-person transmission—even in congregate or healthcare settings—is highly unlikely, provided basic sanitation is maintained^[4].

Once introduced into the environment, typically through contaminated irrigation water or agricultural soil, the oocysts require days to weeks of favorable temperature and humidity conditions to undergo sporulation^[1]. During sporulation, the internal structure of the oocyst develops into two ovoidal sporocysts, measuring approximately 4 by 6 micrometers^[1]. These sporocysts contain both Stieda and substieda bodies, alongside a large residuum. Each sporocyst further contains two elongated sporozoites, measuring roughly 1 by 9 micrometers, which apparently lack crystalloid or refractile bodies^[1]. The resulting mature, infectious oocyst relies on its robust wall to persist in the environment until ingested.

Infection is initiated when a susceptible human ingests these environmentally matured, sporulated oocysts via contaminated food or water^[1]. Upon reaching the human gastrointestinal tract, the oocyst wall degrades, and the sporozoites excyst within the lumen of the small intestine^[1]. The sporozoites actively invade the epithelial cells (enterocytes) lining the duodenum and jejunum, transforming into trophozoites^[1].

Inside the host enterocytes, the parasite initiates asexual multiplication, forming distinct schizonts^[1]. Type I schizonts produce between 8 and 12 small merozoites (measuring 3 to 4 micrometers), which rupture the host cell and proceed to invade adjacent enterocytes, exponentially amplifying the infection^[1]. Eventually, Type II schizonts form, producing 4 larger merozoites (12 to 15 micrometers long) that initiate the sexual phase of the lifecycle^[1]. These Type II merozoites differentiate into male microgamonts and female macrogamonts^[1]. Following fertilization, a zygote is formed which develops a resilient cell wall, becoming a new unsporulated oocyst that is shed into the intestinal lumen and excreted in the feces, perpetuating the cycle^[1].

Pathogenesis and Clinical Manifestations

The cyclical invasion, intracellular replication, and subsequent destruction of enterocytes in the upper small intestine lead to significant mucosal damage. This disruption impairs the intestine's ability to absorb water and nutrients, resulting in the hallmark symptom of cyclosporiasis: profound, explosive, and prolonged watery diarrhea^[3].

Secondary symptoms are characterized by severe systemic and gastrointestinal distress, including anorexia, substantial weight loss, intense abdominal cramping, bloating, increased gas, nausea, and debilitating fatigue^[5]. If left untreated with targeted antimicrobial therapy, the infection is generally self-limiting in healthy, immunocompetent individuals, but symptoms can persist in a relapsing-remitting pattern for over a month^[1]. In vulnerable populations, particularly those with underlying health conditions or compromised immune systems, the profound dehydration and nutrient malabsorption can trigger cascading systemic failures. The parasite may even colonize extra-intestinal organs in severely immunocompromised patients^[1]. This severe pathological trajectory was tragically observed in the two fatalities reported in Michigan^[1].

Resistance to Environmental Degradation and Disinfection

A major factor contributing to the widespread transmission of C. cayetanensis via fresh produce is the extreme resilience of the sporulated oocyst. The oocyst wall is highly robust, allowing the parasite to persist in agricultural environments for extended periods^[1].

Crucially, the oocyst is practically impervious to standard chemical disinfection protocols utilized in agricultural processing, municipal water treatment, and commercial kitchens. Routine chlorine-based disinfectants and standard sanitizing washes applied to produce do not effectively inactivate or kill the parasite, as no EPA-registered disinfectant products have been demonstrated to be effective against Cyclospora on food surfaces^[4]. Consequently, even produce that is commercially labeled as pre-washed or triple-washed can still harbor infectious oocysts if the original agricultural water was contaminated^[4]. Health authorities advise that while thoroughly washing fresh produce under running water mechanically removes dirt and some surface contaminants, it does not guarantee the elimination of the parasite^[4]. Thermal inactivation remains the only reliable method of destruction; heating produce to an internal temperature of at least 70 degrees Celsius (158 degrees Fahrenheit) will successfully kill the pathogen^[5].

Within healthcare and clinical settings, the resistance of the oocyst necessitates specific environmental protocols. If a patient presenting with severe gastroenteritis is incontinent, the risk of surface contamination increases^[4]. Environmental surfaces must first be scrubbed vigorously with detergent to physically remove visible soil, followed by the application of an EPA-registered hospital-grade disinfectant^[4]. Healthcare personnel must adhere to rigorous Standard and Contact Precautions. Because alcohol-based hand sanitizers are ineffective against the resilient cysts, personnel must vigorously wash their hands with soap and water for 15 to 20 seconds if hands are visibly soiled, relying on mechanical friction to remove the pathogen^[4].

Molecular Diagnostics and Genomic Surveillance

One of the most complex dimensions of the 2026 cyclosporiasis outbreak involves the laboratory techniques required to identify the pathogen and link individual clinical cases to agricultural sources.

The Challenge of Cultivation and Whole Genome Sequencing

In the realm of foodborne bacterial pathogens, such as Listeria monocytogenes or Salmonella enterica, outbreak surveillance relies heavily on Whole Genome Sequencing (WGS). Bacterial isolates are easily cultured from clinical stool samples or contaminated food, and their entire genomes are sequenced and uploaded to national databases to instantly identify genetically related clusters^[8].

This standard paradigm fails completely with Cyclospora cayetanensis. The parasite cannot be routinely propagated or amplified via conventional microbiological culture methods^[10]. Furthermore, the quantity of oocysts present in environmental or food samples is typically microscopic, making physical recovery and concentration extraordinarily difficult^[10]. Because the organism cannot be cultured to yield large amounts of purified DNA, Whole Genome Sequencing of clinical or environmental samples is not a practical or viable option for real-time epidemiological investigations^[11]. Consequently, investigators must rely on targeted molecular diagnostic and typing techniques to extract genomic insights.

Evolution of Multilocus Sequence Typing (MLST)

To circumvent the inability to culture the parasite, researchers and federal agencies have developed specific genomic surveillance tools that target highly informative genetic markers within the Cyclospora genome^[10]. The primary goal of these tools is to generate parasite sequence profiles from different patients and compare them to determine if they are genetically similar enough to constitute an epidemiological cluster sharing a common foodborne exposure^[10].

Early attempts at molecular typing utilized a nested Polymerase Chain Reaction (PCR) approach targeting five specific microsatellite loci in the nuclear genome^[13]. However, this 5-marker methodology suffered from significant limitations due to the nucleotide repeat features of the markers. For instance, the CYC15 locus demonstrated limited inter-specimen variability, rendering it less useful for distinguishing unique strains^[13]. Conversely, the CYC3 and CYC13 loci frequently yielded poor-quality or completely unreadable DNA sequences^[13]. Ultimately, researchers often had to rely on the remaining two loci, CYC21 and CYC22, to detect sequence types^[13]. Retrospective analyses demonstrated that this older method produced complete, interpretable typing information for only 53 to 59 percent of the tested specimens, primarily due to the genetic heterogeneity often present in mixed clinical infections^[13].

To improve discriminatory power, the CDC developed and implemented a highly refined Multilocus Sequence Typing (MLST) scheme based on eight distinct genetic markers^[12]. This updated system targets six loci located in the parasite's nuclear genome and two loci situated in the mitochondrial genome^[12]. The inclusion of mitochondrial markers is highly advantageous; mitochondrial DNA is present in multiple copies within a single cell, making it vastly easier to detect and amplify from clinical or produce samples containing only trace amounts of degraded parasite material^[10].

The CDC's 8-marker genotyping tool operates by performing conventional PCR on these specific loci in separate reactions, followed by sequence library preparation and next-generation sequencing of the pooled amplicons^[12]. The resulting genetic data is processed through an ensemble of bioinformatic algorithms that calculate genetic distances and assign sequences to specific genetic clusters^[15]. During outbreak scenarios, this tool has proven highly sensitive. For example, the algorithms can successfully differentiate sub-clusters based on slight variations in mitochondrial genotypes, even when the nuclear genotypes suggest a broader ancestral linkage^[15].

Next-Generation Targeted Amplicon Deep Sequencing

Despite the success of the 8-marker MLST, molecular epidemiologists recognize that its genetic discriminatory power remains limited compared to WGS, especially when attempting to differentiate between closely related strains circulating in a single endemic agricultural region^[12]. The parasite's genome is inherently complicated, and conventional Sanger sequencing struggles to decipher specimens containing multiple different sequence variants, a common occurrence when patients ingest a heterogeneous population of oocysts^[8].

To achieve higher resolution, researchers are actively validating Expanded Nuclear Marker Panels utilizing Targeted Amplicon Deep Sequencing (TAS)^[10]. Recent research has focused on identifying candidate markers using novel workflows for the detection of segregating single nucleotide polymorphisms (SNPs)^[16]. In one study, four candidate markers covering 13 SNPs were shown to successfully resolve parasites from 57 stool specimens into 19 new unique genotypes^[16].

Scaling this approach, a newly developed TAS assay encompasses 52 distinct loci, blanketing numerous phylogenetically informative SNPs across the genome^[12]. Unlike conventional sequencing, deep sequencing amplifies these regions at exceptionally high depth, allowing bioinformatics software to detect and quantify multiple distinct sequence variants within a single patient specimen^[10]. This transition to high-density TAS assays provides the requisite sensitivity not only for clustering clinical cases but for the elusive goal of source attribution: extracting trace Cyclospora DNA directly from contaminated fresh produce and definitively matching its genetic signature to the clinical samples obtained from outbreak victims^[11].

The table below contrasts the various genotyping methodologies employed in Cyclospora surveillance.

Public Health Response and Systemic Challenges

The sheer magnitude of the 2026 cyclosporiasis outbreak has not only strained clinical resources but has also exposed significant procedural and structural weaknesses within the national public health response apparatus. Epidemiologists and infectious disease experts have voiced stringent critiques regarding how the outbreak was managed, particularly concerning communication delays and inter-agency coordination.

Communication Delays and Risk Management

A primary critique leveled against the federal response centers on the timing and efficacy of public health messaging. Federal authorities were reportedly receiving preliminary data indicating a surge in cyclosporiasis cases as early as May 1, coinciding with the historic start of the outbreak season^[8]. Despite these early warning signs, the CDC did not issue a formal Health Alert Network (HAN) advisory regarding the multistate outbreak until July 14, 2026, which was more than two months after the onset of the initial cases^[4].

Prominent infectious disease experts, including Dr. Michael T. Osterholm, characterized this delay as a profound communications failure^[8]. In epidemiological crisis management, rapid risk communication is paramount. Delaying notifications until mid-July meant that public health recommendations for reducing risk reached consumers only after the outbreak had reached its peak^[8]. This vacuum of information bred confusion among the public, leaving consumers uncertain about whether they should continue eating leafy greens or take specific precautions.

Dr. Craig Hedberg noted that in the absence of precise, timely data, there is a distinct danger of the public adopting overly broad avoidance behaviors^[8]. Advising the public to avoid all fresh produce causes unnecessary economic damage to the agricultural sector and deprives consumers of nutritional benefits, as the vast majority of fresh produce remains entirely safe^[8]. Accurate, targeted, and immediate communication is essential to prevent such collateral economic and public health damage.

Structural Critiques of the Investigational Apparatus

Beyond communication delays, structural and jurisdictional issues within the federal health bureaucracy have been deeply scrutinized. Under standard operating procedures, outbreaks of common foodborne illnesses are managed by highly specialized foodborne and waterborne disease groups within the CDC^[8]. These units possess vast experience in coordinating multi-state traceback investigations, navigating complex agricultural supply chains, and liaising directly with the FDA and the commercial food industry to identify common commercial denominators.

However, because Cyclospora cayetanensis is a biological parasite rather than a bacteria, the jurisdiction for investigating the outbreak fell strictly to the CDC's Parasitic Diseases Branch^[8]. Experts have openly criticized this structural delegation, noting that personnel within the parasitic diseases division, while expertly trained in microscopic parasitology, lack the specialized, fast-paced epidemiological experience required to manage a massive, fast-moving domestic foodborne outbreak spanning complex corporate supply chains^[8]. This mismatch of institutional expertise likely contributed to the delayed deployment of public health alerts and the slower integration of state-level restaurant cluster data into the federal purview.

The Critical Role of Active Patient Surveillance

The investigation also highlighted the indispensable role of grassroots epidemiological surveillance. Because standard WGS cannot be utilized, and molecular tracing requires high-quality DNA that is rarely found in adequate amounts on old, wilted produce, public health agencies remain heavily reliant on classic epidemiology^[10]. As Dr. Hedberg emphasized, the raw data required to solve complex foodborne outbreaks must be derived directly from the afflicted population^[8].

To trace a pathogen like Cyclospora backward through a tangled international supply chain to a specific farm in central Mexico, epidemiologists must conduct exhaustive interviews with hundreds of patients. These interviews require patients to recall, with high specificity, their food consumption and travel history over a two-week period prior to symptom onset^[4]. Without patients actively seeking medical care, requesting specific stool tests for parasites, and willingly participating in these exhaustive health department interviews, identifying the common denominator—in this instance, the shredded iceberg lettuce consumed at Taco Bell franchises—would have been statistically impossible.

Conclusion

The 2026 multistate cyclosporiasis outbreak serves as a critical inflection point in the epidemiological surveillance of foodborne parasitic diseases. Driven by the widespread commercial distribution of contaminated iceberg lettuce sourced from central Mexico, the outbreak resulted in thousands of severe infections, widespread hospitalizations, and tragic fatalities among vulnerable individuals. The event underscores the inherent biological resilience of Cyclospora cayetanensis, particularly its ability to withstand standard agricultural chemical decontamination protocols and its complex lifecycle that evades traditional laboratory cultivation.

Furthermore, the outbreak has acted as a severe stress test for molecular diagnostic technologies. The transition from older, less reliable typing methods to sophisticated 8-marker Multilocus Sequence Typing, and eventually to the deep sequencing of 52-marker targeted amplicons, represents a vital technological leap forward. As genomic surveillance tools continue to evolve toward these higher-resolution panels, public health agencies will increasingly gain the capability to genetically link clinical illnesses directly to trace amounts of parasite DNA found on agricultural products, reducing the heavy reliance on prolonged, retrospective patient interviews.

However, advanced molecular tools cannot compensate for structural inefficiencies in public health administration. The prolonged lag between state-level data collection and federal reporting, coupled with significant delays in risk communication, severely hampered the early mitigation of the outbreak. Future readiness will require breaking down bureaucratic silos within federal health agencies, specifically by integrating the specialized outbreak-response expertise of foodborne disease units with the distinct biological expertise of parasitology branches. Ultimately, safeguarding the globalized food supply against resilient pathogens like Cyclospora will demand a highly integrated approach: rigorous agricultural water testing at the source, the rapid deployment of next-generation deep sequencing diagnostics, and the immediate, transparent communication of targeted risk factors to the public.

Works Cited

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2. Surveillance of Cyclosporiasis - CDC, https://www.cdc.gov/cyclosporiasis/php/surveillance/index.html
3. Cyclospora outbreak update: Michigan sees first two deaths linked to explosive diarrhea, https://www.hindustantimes.com/world-news/us-news/cyclospora-outbreak-update-michigan-sees-first-two-deaths-linked-to-explosive-diarrhea-101785780668152.html
4. Domestically Acquired Cyclosporiasis Cases in Multiple U.S. States, https://www.cdc.gov/han/php/notices/han00531.html
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6. Cyclosporiasis Cases in North Carolina | Division of Public Health, https://www.dph.ncdhhs.gov/programs/epidemiology/communicable-disease/foodborne-illnesses/cyclosporiasis/cases
7. 2026 Cyclosporiasis Outbreak | Washington State Department of, https://doh.wa.gov/you-and-your-family/illness-and-disease-z/foodborne-illness/outbreaks/2026-cyclosporiasis-outbreak
8. What we truly know about the huge US Cyclospora outbreak—and, https://www.cidrap.umn.edu/cyclospora/what-we-truly-know-about-huge-us-cyclospora-outbreak-and-what-we-don-t
9. Where People Got Sick: Cyclospora Outbreak, July 2026 - CDC, https://www.cdc.gov/cyclosporiasis/outbreaks/07-26/locations.html
10. Cyclospora Molecular Diagnostics & Genomic Surveillance - AffiGEN, https://affigen.com/blogs/news/cyclospora-molecular-diagnostics-genomic-surveillance
11. Development of a targeted amplicon sequencing method ... - Frontiers, https://www.frontiersin.org/journals/microbiology/articles/10.3389/fmicb.2023.1212863/full
12. Evaluation of the Increased Genetic Resolution and Utility for Source, https://pmc.ncbi.nlm.nih.gov/articles/PMC11124223/
13. Evaluation of Multilocus Sequence Typing of Cyclospora ... - PMC, https://pmc.ncbi.nlm.nih.gov/articles/PMC6354607/
14. Mitochondrial Junction Region as Genotyping Marker for Cyclospora, https://opus.lib.uts.edu.au/rest/bitstreams/ae800380-6194-49dd-bf9a-245687d95c18/retrieve
15. Genotyping Cyclospora cayetanensis From Multiple Outbreak, https://academic.oup.com/jid/article/225/12/2176/6381183
16. Development of a workflow for identification of nuclear genotyping, https://pmc.ncbi.nlm.nih.gov/articles/PMC7147239/