NEHA September 2025 Journal of Environmental Health

FIGURE 1

Rate and Number of Enteric Illness Outbreaks by State, 2009–2019 ( N = 38,395)

667

229

312

681

258

2077

651

1982

187

3017

1833

87

2483

224

1516

697

Rate ( 4 uartiles)

816

2313

764

288

389

514

2399

165

593

<8.3

2203

479

908

619

437

557

2296

1272

566

770

1039

8.3–<15.8

974

835

373

137

184

983

396

399

212

15.8–<23.6

DC (85)

247

1266

165

816

PR (162)

≥23.6

285

Source: Wikswo et al., 2022. Note. DC = District of Columbia; PR = Puerto Rico.

50% of unvaccinated COVID-19 cases. Epide- miologist Ziyad Al-Aly has noted, “The pub- lic does not react very well to saying ‘between 15% and 50%’” (Ledford, 2022).

ited, and 7.2% of the time it was the fourth or an even earlier restaurant. Some misconceptions of foodborne ill- ness on the part of public health profession- als appear to show up in the attention given to foodborne disease in di›erent states in the U.S. According to Figure 1 from CDC’s population-based National Outbreak Report- ing System (NORS), the reported number of outbreaks per million population varies widely, with the highest reporting rate being more than 20 times higher than the lowest reporting rate (Wikswo et al., 2022). Wikswo et al. (2022) attribute much of the di›erence to the expansion of the surveillance pro- gram to include person-to-person spread in 2009. The public, however, has a role to play in reporting their illnesses, such as seeking medical care and providing a stool specimen, which could lead to more accurate reporting of foodborne illness numbers. Charles Bartleson, then of the Washing- ton State Department of Social and Health Services, reported to the 1986 Conference for Food Protection that possibly because of “untrained or poorly qualified sta›” or “lack of concern,” some states report foodborne

outbreaks at 1/200th the rate of other states (Bartleson, 1987). To provide guidance for environmental public health sta›, Torok et al. (2022) published recommendations for train- ing on how to detect, investigate, and respond to foodborne illness outbreaks. Misconceptions About COVID-19 It is important to acknowledge that there were people across the world who believed the pandemic was a hoax. An article in HuPost discussed “what makes COVID-19 pandemic myths so easy to trust, and who is more likely to believe them” (Ries Wexler, 2020). A Busi- ness Insider article proclaimed, “Recent study indicated that nearly one third of Americans believe in a conspiracy theory about the coro- navirus, such as one that claims the outbreak is linked to 5G internet” (Guzewich, 2020). There is some evidence that political division and partisanship in the U.S., combined with social isolation during the pandemic, set the stage for conspiracy theories about COVID- 19 to take root (Allen, 2021). Another popular but baseless theory is that doctors and hospitals were exaggerating deaths due to COVID-19 for profit (Fichera,

Misconceptions

Misconceptions About Foodborne Disease

The most widespread misconception about foodborne disease is reflected in the term “food poisoning,” which many people use. This term leads to the common miscon- ception that the last meal consumed was the one that caused the illness, leading to erroneous conclusions about the incuba- tion period and implicated food. According to FINDER (Foodborne IllNess DEtector in Real time), a project developed by Google and the Harvard T.H. Chan School of Pub- lic Health (Hartman, 2020a; Sadilek et al., 2018), the restaurant most likely to have caused a person’s illness was the one they visited most recently only 62% of the time, and furthermore,19.4% of the time it was the second most recently visited, 11.5% of the time it was the third most recently vis-

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September 2025 • Journal of Environmental Health

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