Abstract
The ongoing effects of climate change have exacerbated two significant challenges to global populations: the transmission of foodborne pathogens and antimicrobial resistance (AMR) through the food chain. Using the latest available scientific information this review explores how climate-related factors such as rainfall, floods, storms, hurricanes, cyclones, dust, temperature and humidity impact the spread of the foodborne pathogens Salmonella, E. coli, Campylobacter, Vibrio, Listeria, and Staphylococcus aureus. We explore the complex dynamics between environmental changes and the heightened risk of foodborne diseases, analysing the contribution of wildlife, insects and contaminated environments in the proliferation of AMR and climate change. This review paper combines a thorough analysis of current literature with a discussion on findings from a wide variety of studies to provide a comprehensive overview of how climatic factors contribute to the survival, persistence and transmission of bacterial pathogens in the food chain. In addition, we discuss the necessity for effective mitigation strategies and policies. By providing insights into the interrelationships between climate change and food safety, this review hopes to inform future research and policy development to promote safer and more sustainable food systems and further integration within the One Health approach.
Keywords: One Health, Foodborne pathogens, Climate change, Climate events
1. Introduction
Over one hundred zoonotic pathogens have been identified as impacting humans through the food chain [1]. Despite this abundance, most food-related human disease can be traced back to just a few species. Climate change increasingly influences environmental contamination. Higher temperatures have the potential to boost the survival and presence of disease-associated bacteria in the environment and heavy rainfall events augment the spread of bacteria from farms and sewage systems into river catchments [2]. The importance of these climate factors cannot be overstated when developing future mitigation strategies and infrastructure to address the effects of climatic changes on public health. In recent decades, the changes in the production of food, processing and distribution have heightened the risk of foodborne diseases creating new opportunities for pathogen transmission to humans, specifically zoonotic pathogens like Salmonella, E. coli, Vibrio spp. and Campylobacter [3]. The global populations increase in demand for food has led to the expansion of industrial production systems, including the intensification of animal production, agriculture, large-scale food processing, catering, and distribution [3]. We will review documented studies and climate models, which are useful tools for simulating and predicting future climatic conditions and their impact upon agriculture, prices, delivery, quality, and food safety [4]. The global approach to food supply has already reshaped food consumption patterns and climate change is will further shift food production lines, stemming in a more global and diverse food supply for consumers [4].
As climate change continues to alter environmental conditions, understanding the impact on foodborne disease transmission becomes increasingly critical. As displayed in Fig. 1, this review explores the complex interplay between climate change, specific pollutants (antibiotics, microplastics, and heavy metals), the transmission of bacterial pathogens and antimicrobial resistance (AMR) within the food chain. By examining the influence of major environmental factors such as water (rains, floods, storms), air (hurricanes, cyclones, dust), temperature, and humidity, the review seeks to understand how these climatic changes facilitate the spread of zoonotic pathogens like Salmonella, E. coli, Campylobacter, Vibrio, Listeria, and Staphylococcus aureus. Furthermore, the review will address the role of wildlife, insects and environmental contamination in the proliferation of AMR, providing insights into potential mitigation strategies to enhance public health and food safety in the context of a changing climate. (See Table 1).
Fig. 1.
The impact of climate events on Vibrio spp., Campylobacter spp., Listeria monocytogens, S. aureus and Salmonella spp., within the One Health approach to climate change and impact on agri-food industry.
Table 1.
Climate events with impact on foodborne pathogen spread and transmission.
| Climate events | Impact | Reference |
|---|---|---|
| Floods and rainfalls |
|
[5] [6] [7] [8] [7] [9] |
| Surface and waste waters |
|
[7] [7] [9] [7] [9] |
| Foodborne Aerosolised Microorganisms and their Dispersal |
|
[6] [10] [11] [12] [10,11]. [11,12] [11]. |
2. Impact of climate events on the growing threat of specific foodborne pathogens
2.1. Vibrio spp
Vibrio spp., a bacterium commonly found in marine and estuarine waters worldwide, is particularly concerning, because previous similar incursions were only observed in tropical and subtropical locations, which are now changing due to climate dynamics [13]. In shellfish, Vibrio spp., presence is highly dependent on seawater temperature, with studies demonstrating enhanced Vibrio spp. loads in aquatic environments with increased temperatures, resulting in more frequent disease outbreaks [13,14].
Rising water temperatures, as a consequence of global warming, promotes the growth of Vibrio spp. with studies showing a water temperature above 12 °C and with low to moderate salinity (1–25 g/L) to be optimal [15]. This paper demonstrates that global warming is undeniably contributing to the spread and higher prevalence of Vibrio spp., and to an increased risk of human infections rates in coastline areas and estuaries [15]. The permanent rise in water temperatures will likely amplify Vibrio contamination in the European fishing and farming sectors, extending beyond the summer and autumn. Over the last 30 years, heatwaves in northern Europe have been linked to an increase in Vibrio soft tissue infections. Incidences of these bacterial pathogens are particularly alarming in regions with elevated water temperatures, especially in the Southern Hemisphere, while the occurrence rates in several Northern Hemisphere countries are also rising due to water acidification, increasing temperatures and altered salinity [16]. In 2014, the highest number of annual Vibrio-associated soft tissue infections reported in Sweden and Finland coincided with the region's most severe heatwave [17]. In Denmark, human Vibrio infections have been steadily increasing since 2016, [16] from 26 in 2017 to 60 in 2018 and 69 in 2019 and are in correlation with high summer coast line water temperatures and low salinity [13]. These were primarily involving the species V. cholerae and V. parahaemolyticus [16]. Recent findings suggest that high pH and elevated temperatures in the Belgian regions of Wallonia, Flanders and the North Sea are favourable factors for the growth of Vibrio spp., specifically V. alginolyticus and V. parahaemolyticus [14].
In addition to increased temperatures, several climatic conditions such as precipitation, salinity and wind speed influence the growth and transmission of Vibrio spp. [18]. A positive correlation has been observed between the frequency of infectious Vibrio spp., including V. vulnificus, Vibrio cercariae, V. parahaemolyticus, and V. alginolyticus in coastal waters and turbidity or recent heavy rainfall [18]. In relation to turbidity, a field study in the Florida Keys showed that the growth of total Vibrio spp. intensified with the addition of dust to seawater [18] and the same study conducted in synthetic iron-diminished seawater showed that the growth of V. alginolyticus and V. cholerae increased when dust was added to the medium [18].
2.2. Campylobacter spp
Approximately 30 % of all human infections are attributed to poultry consumption, 20–30 % from beef and a smaller percentage of infections arise due to pathogenic strains from other sources, including game animals [19]. Campylobacter levels in chicken flocks fluctuate with temperature and humidity, in contrast human cases are linked to fluctuations in temperature and precipitation, particularly during extreme precipitation events [20]. Seasonality significantly influences Campylobacter spread and contamination, with a statistical correlation observed between temperature and contamination levels [21]. Using Ontario as an example, an exploratory study revealed a positive correlation between climate and bacterial prevalence [21]. The knowledge that Campylobacter cannot replicate outside the host implies that the hotter temperatures attributed to climate change alter people's behaviour leading to riskier food consumption patterns, rather than the inherent replication capability of the bacteria [22].
In contrast, rainfall and wind speed have a lesser influence on the incidence of Campylobacteriosis [13]. In Europe, campylobacteriosis cases are clearly associated with changes in temperature rather than precipitation [13]. As the association with temperature was not direct, the relationship is probable indirect and might be influenced by other seasonal mechanical vectors, for instance, fly transmission [22]. Studies using national surveillance data to analyse the association between climate and campylobacteriosis in Denmark, Finland, Norway and Sweden have revealed that Campylobacter incidences are related to rises in temperature and in particular precipitation in the week preceding illness, proposing a non-food related spread route for the disease [20]. To concur with this, their models indicated that heat waves and winter precipitation (rain and snowfall) may reduce the total of reported cases. The past eight years have been the hottest on record, with 2022 seeing the total 10-year average temperature rise to 1.15 °C above preindustrial levels [23].If this trend continues, a recent study forecast an almost 200 % increase in campylobacteriosis in Scandinavian countries by the end of the century, which could result in nearly 6000 additional cases per year [22,23]. This rise is attributed to an extended transmission season and other climatic changes.
2.3. Escherichia coli
As ambient temperatures rise, the proliferation of E. coli in the environment and food products increases, elevating the risk of contamination and infection. For instance, EHEC O157:H7, notorious for its severe outbreaks often linked to undercooked meat and raw vegetables, can thrive in warmer conditions thus amplifying its transmission during heat waves [24]. In a study across the EU and EEA between 2015 and 2019, Gilligham et al observed that confirmed cases of STEC rose during the months April and May and peaked from June to September [13]. In England, from 2015 to 2019, STEC cases increased from April until July (in 2016) or August (in other years) before declining [13,25]. Moreover, in 2019, the highest incidence rate in the EU and EEA was among children aged 0 to 4 years, who comprised over a quarter of all confirmed cases, while the lowest incidence was between individuals aged 45 to 64 years.
A recent laboratory investigation showed that higher temperatures correlate with increased proliferation of E. coli in American oysters (Crassostrea virginica), a key seafood species [26,27]. Using oysters found in the southern waters of the Gulf of Mexico, this study demonstrated that E. coli proliferation escalated as water surface temperatures rose from 24 to 32 °C [26]. An experimental French study observed that a similar correlation between temperature and microbial growth occurred with unpasteurised milk [28]. The model predicted that warmer temperatures, combined with delays along the supply chain, would lead to greater concentrations of E. coli in milk, potentially increasing the infection risk from unpasteurised milk consumption in the future [28]. Furthermore, climate change is expected to have both positive and negative effects on the persistence of STEC O157 in manure, soil and water, which could consequently affect contamination levels in leafy green vegetables [28].
The frequency of E. coli O157:H7 infections in humans and the shedding of VTEC by cattle are known to exhibit seasonality [29]. This seasonality is partly attributed to the enhanced survival and proliferation of E. coli O157:H7 in faeces at higher temperatures [29]. E. coli O157 has been linked to pre-harvested leafy green vegetables. STEC grows optimally at 37 °C but can grow in temperatures varying from 7 °C to 50 °C [13]. A study on the level of STEC infections in children from Italy observed an increase in the frequency of cases during heatwaves and cases were of longer duration and greater magnitude [30]. Given the increased probability of more frequent heatwaves in the future, it is probable that the number of STEC infection cases will also rise [30] as warm ambient temperatures were recently linked to increased shedding of STEC in wild deer [31].
Heavy rain and flooding can overwhelm wastewater treatment facilities, contaminating water bodies with pathogenic E. coli strains. This is particularly concerning as ETEC is primarily transmitted through contaminated water and is a leading cause of Traveller's diarrhoea in developing regions with poor water sanitation. For instance, ETEC biofilm formation on drinking water contact surfaces in Bangladesh correlated with the warm and humid months, coinciding with epidemic levels of diarrheal disease in impoverished households [32].
Moreover, climate-induced changes in agricultural practices may influence the incidence of E. coli pathotypes. Warmer temperatures and altered rainfall can affect the persistence and distribution of E. coli on crops, with EAEC and DAEC posing significant risks due to their capacity to adhere to plants. Additionally, using untreated wastewater for irrigation, driven by water scarcity, can introduce pathogenic E. coli into the food supply chain, rising public health concerns. Furthermore, it becomes likely that enteropathogenic strains such as EPEC and EIEC, which are commonly associated with person-to-person transmission and foodborne outbreaks, may see altered transmission dynamics due to changes in human behaviour and hygiene practices during extreme weather conditions.
2.4. Listeria monocytogenes (L. monocytogenes)
L. monocytogenes has the ability to multiply at temperatures just above freezing, unlike other bacteria. [33]. Typically, optimal storage at 4 °C slows its growth, often limiting its presence in food to non-harmful levels [34]. Warmer temperatures and higher humidity levels provide favourable conditions for the growth and persistence of L. monocytogenes in the natural environment and food industry. For instance, increased temperatures can enhance the persistence and proliferation of L. monocytogenes in soil and water, leading to higher contamination levels in crops and livestock [35]. Recent reviewed studies from the USA have highlighted that using surface water for irrigation could be a significant cause of contamination [36]. L. monocytogenes was detected in up to 27 % of pond water samples and up to 99 % of wastewater samples from stabilization ponds in the Arctic region of Canada [36].
Temperature may influence the persistence of L. monocytogenes in certain regions associated with seafood industry [37]. In this context, temperature plays an important role as it has been shown that L. monocytogenes was more likely to be isolated from the springs of Moore region of New York State where air temperatures (10 to 15 °C) matched those in the Salinas region during winter and spring [37]. When contaminated, ready-to-eat foods enable L. monocytogenes growth at low temperatures this represents a significant food safety and public health risk [33]. Moreover, temperature fluctuations due to breaks in the cold chain can accelerate the multiplication of these pathogens, causing foods with initially low pathogen levels to exceed safety thresholds in fairly short time periods. Experimental examples in ready-to-eat food matrices have demonstrated that the growth rate of L. monocytogenes duplicates as the temperature grows from 4 °C to 8 °C and from 8 °C to 12 °C [33].
Precipitation changes are also affecting the dissemination of L. monocytogenes. Heavy rainfall and flooding can lead to the contamination of water sources with L. monocytogenes, which has the potential to spread to agricultural fields and food processing plants [38]. In several studies listeriosis outbreaks were linked to waterborne contamination following extreme weather events [39]. Changes in agricultural practices driven by climate change, such as the increased use of untreated wastewater for irrigation due to water scarcity, can introduce L. monocytogenes into the food supply and elevated levels of L. monocytogenes have been detected in irrigation water from semi-arid regions of South Africa. This would suggest there could be an enhanced risk of human exposure through the consumption of such water. Furthermore, evidence from various African regions indicates excessive precipitation and flooding are related with an elevated risk of Listeria-associated foodborne diseases [33,40]. It is hypothesized that conditions concentrate pathogens in limited water sources, increasing the risk of contamination. Analyses from African low-and middle-income countries observed a 5 % increase in the risk of diarrhoea during mild and severe droughts [33,41]. This highlights the need for stringent monitoring and adaptive management strategies to ease the impact of climate changes on food safety.
2.5. Staphylococcus aureus (S. aureus)
Temperature is instrumental in the survival and spread of S. aureus. Higher ambient temperatures, which may further escalate due to climate change, can enhance the pathogen's survival in the environment [42]. For many bacteria the favourable growth temperatures are above 30 °C. Evidence suggests that increased temperatures facilitate plasmid transfer and potentially the gene transfer of resistance genes. Therefore, climate change can directly influence the onset of antibiotic resistance through temperature increases [42]. A study in the United States collected data from 1980 to 2010 on temperature and antibiotic resistance from hospitals and laboratories [[43], [44], [45]] found that antibiotic resistance in three bacterial species (S. aureus, E. coli and Klebsiella pneumoniae) increased with rising local temperatures [[43], [44], [45]]. Similarly, in European countries the impact of climate change on the epidemiology of Staphylococcus aureus has been stark and other results have shown that infections inflicted by S. aureus occurred more warmer seasons [42]. In 2015, researchers estimated higher infection rates with antibiotic-resistant bacteria such as MRSA, third-generation cephalosporin-resistant E. coli, carbapenem-resistant Pseudomonas aeruginosa and third-generation cephalosporin-resistant K. pneumoniae [46]. These findings were confirmed by a 2019 European systematic analysis, which highlighted regional differences in the AMR burden. The rates were higher in Mediterranean countries like Greece and Italy than in Northern European countries, potentially due to climatic differences [46]. For these pathogens, climate related events such as floods, storms, warming, precipitation and droughts were associated with increased antimicrobial resistance [42].
Precipitation patterns and humidity levels also play crucial roles in the survival and transmission of S. aureus. Increased humidity can promote the growth of S. aureus on surfaces and in the air, potentially leading to higher contamination rates in healthcare settings and community environments [47]. Conversely, acute weather events such as substantial rainfall and floodings can disrupt sanitation infrastructure, leading to increased exposure to such pathogens [42,47]. Hospitals and food sectors should be particularly wary of cockroaches, as they have been found to spread nosocomial pathogens including S. aureus and E. coli [48]. The geographical proximity of Fuzhou to Taiwan advise that bacterial spreading may frequently occur via environmental vectors such as migratory wildlife and seawater [49].
Farm animals can disseminate S. aureus in the environment through air and faeces, contaminated soil, water and crops [50]. The finding of S. aureus in surface and air samples backs the idea that farm environments act as carriers of the bacterium. S. aureus can become airborne via dust particles [50,51]. Airborne bacteria can reach stable surfaces or can directly assimilated by animals or humans. S. aureus carried by livestock and poultry faecal are posing a risk of infection to animals and humans [51].
2.6. Salmonella spp
Earlier models predicted an increase in Salmonella infection rates as ambient temperatures rose, due to climate change, and could lead to around 1000 additional cases annually and a significant increase ($120.000) in healthcare and surveillance costs by 2050. Ambient temperature directly impacts upon the replication rate of Salmonella, leading to an increased incidence of disease. The pathogen's ability to survive in dry and dusty conditions makes it capable of persisting in animal feed and low-moisture food processing environments [52]..Other factors such as insufficient aeration, poor ventilation and dust dispersion can favour Salmonella persistence in feed and low-moisture food processing plants. This was was previously shown in a study in a feed processing plant, indentifying the intake pit as a key location for contamination [52,53]. However, it can also persist in high-moisture food environments involving eggs, meat, and poultry [52] and global warming is predicted to encourage the colonisation and growth of Salmonella in broiler flocks [54].
The influence of ambient temperature on Salmonella development at various stages of the food chain is well-documented. This includes bacterial contamination during transport, raw food production and improper storage [15]. The optimal temperature for Salmonella growth is between 35 °C and 37 °C, with growth significantly inhibited at 15 °C [8]. Previous estimations have shown that a 1 °C increase in the average weekly maximum temperature can lead to an 8.8 % increase in weekly salmonellosis incidences [15,55]. A study identified that a 1 °C increase in the average weekly minimum temperature is associated with a 5.8 % increase weekly in the number of cases [15,55]. Salmonella survival in soils, animal effluents and surface waters is reduced at higher temperatures and during fluctuations of ambient temperature or freeze-thawing circumstances [13]. In contrast, Salmonella is detected in poultry and oyster samples more frequently at increased temperatures [13].The consequence of temperature on the survival and growth is not uniform across all environments. In the absence of proper surveillance strategies, monitoring, and disinfection, prolonged increased temperatures can lead to an increase in the counts of Salmonella cells in poultry flocks [54]. Based on the research, there is a clear need for targeted interventions to address the specific challenges posed by climate change to different sectors of the food chain.
In the Republic of Ireland, climate changes are expected to increase the incidence of salmonellosis by 2 % and campylobacteriosis by 3 % [56]. The seasonality of Salmonella is a direct result of its sensitivity to temperature. Almost all salmonellosis cases in Europe are reported during the summer months, with the incidence of Salmonella typically reduced in colder, northern countries compared to those with warmer climates [13,15]. In 2017, the WHO reported that in Europe, climate change caused a 5–10 % increase in salmonellosis cases for each 1 °C rise in weekly temperatures when ambient temperatures surpassed 5 °C [10,57]. Additionally, a study completed in Kazakhstan found that salmonellosis cases has the potential to rise to 5.5 million with a 1 °C increase in the average monthly temperature [57]. In New Zealand, the infection risk of salmonellosis is related with moderately high temperatures in Auckland and Christchurch, yet interestingly no significant association between temperature and salmonellosis risk was found in Wellington, which is further south and has lower ambient temperatures [13]. To underline the importance of the temperature, a study conducted in New York, USA, demonstrated inconsistent results or no relationship between the incidence of Salmonella and variables such as precipitation and humidity - only ambient temperature impacted upon Salmonella infections [13,58]. Data from Maryland observed a 4.1 % increase in salmonellosis risk due to temperature increase and a 5.6 % increase due to increase in precipitation with higher risks posed in coastal communities compared to non-coastal ones [13,59]. In conclusion, the Mississippi study identified a significant positive correlation between temperatures and Salmonella infections, with small temperature rises related to four Salmonella-associated cases [60]. Anticipating changes in salmonellosis patterns due to climate change is challenging because of the inherent complexity and uncertainty surrounding the effects on the host-agent-environment interactions. Additionally, methodological issues, such as the high correlation between climatic variables, complicate the identification of true explanatory factors and risk prediction [13].
3. Conclusions
Most of the available literature points towards a rise in climate-associated foodborne pathogen associated outbreaks across the globe due to the varying responses of different serovars and in their transmission patterns to ambient temperature. Future One Health projections will help to mitigate the impact of climate change on the spread of foodborne pathogens which should differentiate between specific virulence factors affected and transmission mechanisms.
Funding resources
None.
CRediT authorship contribution statement
Igori Balta: Writing – review & editing, Writing – original draft, Conceptualization. Joanne Lemon: Writing – review & editing, Writing – original draft, Conceptualization. Ciara Murnane: Writing – review & editing, Writing – original draft. Ioan Pet: Writing – review & editing, Writing – original draft, Conceptualization. Teodor Vintila: Writing – review & editing, Writing – original draft, Conceptualization. David McCleery: Writing – review & editing, Writing – original draft, Conceptualization. Todd Callaway: Writing – review & editing, Writing – original draft, Conceptualization. Alastair Douglas: Writing – review & editing, Writing – original draft, Conceptualization. Lavinia Stef: Writing – review & editing, Writing – original draft, Conceptualization. Nicolae Corcionivoschi: Writing – review & editing, Writing – original draft, Conceptualization.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Contributor Information
Lavinia Stef, Email: laviniastef@usvt.ro.
Nicolae Corcionivoschi, Email: Nicolae.corcionivoschi@afbini.gov.uk.
Data availability
No data was used for the research described in the article.
References
- 1.Nadeem A., et al. Vol. 1. Unique Scientific Publishers; Faisalabad, Pakistan: 2023. Zoonosis in the Food Chain. Zoonosis; pp. 361–373. [Google Scholar]
- 2.Demeter K., et al. Modelling the interplay of future changes and wastewater management measures on the microbiological river water quality considering safe drinking water production. Sci. Total Environ. 2021;768 doi: 10.1016/j.scitotenv.2020.144278. [DOI] [PubMed] [Google Scholar]
- 3.Antunes P., Novais C., Peixe L. Microbial Transmission. 2019. Food-to-Humans Bacterial Transmission; pp. 161–193. [Google Scholar]
- 4.Stewart L.D., Elliott C.T. The impact of climate change on existing and emerging microbial threats across the food chain: an island of Ireland perspective††this paper is one of a series of reviews on “climate change and food safety – an island of Ireland perspective”. Trends Food Sci. Technol. 2015;44(1):11–20. [Google Scholar]
- 5.Kotzekidou P. In: Food Hygiene and Toxicology in Ready-to-Eat Foods. Kotzekidou P., editor. Academic Press; San Diego: 2016. Chapter 3 - factors influencing microbial safety of ready-to-eat foods; pp. 33–50. [Google Scholar]
- 6.Nga D.D.Y., et al. Study on the concentration, composition, and recovery rate of bacterial bioaerosols after rainfall in Ho Chi Minh City. Environ. Monit. Assess. 2024;196(3):295. doi: 10.1007/s10661-024-12442-3. [DOI] [PubMed] [Google Scholar]
- 7.Iwu C.D., Okoh A.I. Preharvest transmission routes of fresh produce associated bacterial pathogens with outbreak potentials: a review. Int. J. Environ. Res. Public Health. 2019;16(22):4407. doi: 10.3390/ijerph16224407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Levy K., et al. Untangling the impacts of climate change on waterborne diseases: a systematic review of relationships between diarrheal diseases and temperature, rainfall, flooding, and drought. Environ. Sci. Technol. 2016;50(10):4905–4922. doi: 10.1021/acs.est.5b06186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Hazards E., Panel O.B., et al. Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain. EFSA J. 2021;19(6) doi: 10.2903/j.efsa.2021.6651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Rupasinghe R., Chomel B.B., Martínez-López B. Climate change and zoonoses: a review of the current status, knowledge gaps, and future trends. Acta Trop. 2022;226 doi: 10.1016/j.actatropica.2021.106225. [DOI] [PubMed] [Google Scholar]
- 11.Hellberg R.S., Chu E. Effects of climate change on the persistence and dispersal of foodborne bacterial pathogens in the outdoor environment: a review. Crit. Rev. Microbiol. 2016;42(4):548–572. doi: 10.3109/1040841X.2014.972335. [DOI] [PubMed] [Google Scholar]
- 12.Hara K., Zhang D. Bacterial abundance and viability in long-range transported dust. Atmos. Environ. 2012;47:20–25. [Google Scholar]
- 13.Gillingham E.L., et al. Health Effects of Climate Change (HECC) in the UK: 2023 Report. 2023. Effect of climate change on infectious diseases in the UK. [Google Scholar]
- 14.Sacheli R., et al. Occurrence of Vibrio spp. in selected recreational water bodies in Belgium during 2021 bathing season. Int. J. Environ. Res. Public Health. 2023;20(20) doi: 10.3390/ijerph20206932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Dietrich J., et al. Impact of climate change on foodborne infections and intoxications. J. Health Monit. 2023;8(Suppl. 3):78–92. doi: 10.25646/11403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Brauge T., et al. Sources and contamination routes of seafood with human pathogenic Vibrio spp.: a farm-to-fork approach. Compr. Rev. Food Sci. Food Saf. 2024;23(1) doi: 10.1111/1541-4337.13283. [DOI] [PubMed] [Google Scholar]
- 17.Nel J., Richards L. Climate change and impact on infectious diseases. Wits J. Clin. Med. 2022;4(3):129–134. [Google Scholar]
- 18.Khan I., et al. In: Microbiomes and the Global Climate Change. Lone S.A., Malik A., editors. Springer Singapore; Singapore: 2021. Microbes and climate: A tangled relation; pp. 3–15. [Google Scholar]
- 19.Abebe E., Gugsa G., Ahmed M. Review on major food-borne zoonotic bacterial pathogens. J. Trop. Med. 2020;2020 doi: 10.1155/2020/4674235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Kuhn K.G., et al. Campylobacter infections expected to increase due to climate change in northern Europe. Sci. Rep. 2020;10(1):13874. doi: 10.1038/s41598-020-70593-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Smith B.A., et al. Seasonality and zoonotic foodborne pathogens in Canada: relationships between climate and Campylobacter, E. Coli and Salmonella in meat products. Epidemiol. Infect. 2019;147 doi: 10.1017/S0950268819000797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Semenza J.C., Paz S. Climate change and infectious disease in Europe: impact, projection and adaptation. Lancet Reg. Health – Europe. 2021:9. doi: 10.1016/j.lanepe.2021.100230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Semenza J.C. Climate change and contagion: the circuitous impacts from infectious diseases. J. Infect. Dis. 2024;229(4):928–930. doi: 10.1093/infdis/jiad571. [DOI] [PubMed] [Google Scholar]
- 24.Kim E., Kim B.I. Characteristics and related factors of waterborne and foodborne infectious disease outbreaks before and after the onset of the COVID-19 pandemic (2017-2021) in the Republic of Korea: a descriptive study. Osong. Public Health Res. Perspect. 2023;14(6):483–493. doi: 10.24171/j.phrp.2023.0221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Organization, W.H . Vol. 19. World Health Organization; 2019. Shiga Toxin-producing Escherichia Coli (STEC) and Food: Attribution, Characterization and Monitoring. [Google Scholar]
- 26.Maruf Billah M., Rahman M.S. Impacts of anthropogenic contaminants and elevated temperature on prevalence and proliferation of Escherichia coli in the wild-caught American oyster, Crassostrea virginica in the southern Gulf of Mexico coast. Mar. Biol. Res. 2021;17(9–10):775–793. [Google Scholar]
- 27.Billah M.M., Rahman M.S. Salmonella in the environment: a review on ecology, antimicrobial resistance, seafood contaminations, and human health implications. J. Hazard. Mater. Adv. 2024;13 [Google Scholar]
- 28.Feliciano R., et al. Probabilistic modelling of Escherichia coli concentration in raw milk under hot weather conditions. Food Res. Int. 2021;149 doi: 10.1016/j.foodres.2021.110679. [DOI] [PubMed] [Google Scholar]
- 29.Larsen M.H., et al. Persistence of foodborne pathogens and their control in primary and secondary food production chains. Food Control. 2014;44:92–109. [Google Scholar]
- 30.Acquaotta F., et al. Role of climate in the spread of Shiga toxin-producing Escherichia coli infection among children. Int. J. Biometeorol. 2017;61(9):1647–1655. doi: 10.1007/s00484-017-1344-y. [DOI] [PubMed] [Google Scholar]
- 31.Soare C., McNeilly T.N., Seguino A. A review of potential risk factors linked to Shiga toxin-producing Escherichia coli (STEC) in wild deer populations and the practices affecting the microbial contamination of wild deer carcasses with enteric bacteria. Food Control. 2021;127 [Google Scholar]
- 32.Aijuka M., Buys E.M. Persistence of foodborne diarrheagenic Escherichia coli in the agricultural and food production environment: implications for food safety and public health. Food Microbiol. 2019;82:363–370. doi: 10.1016/j.fm.2019.03.018. [DOI] [PubMed] [Google Scholar]
- 33.Sibanda T., et al. Listeria monocytogenes at the food–human interface: a review of risk factors influencing transmission and consumer exposure in Africa. Int. J. Food Sci. Technol. 2023;58(8):4114–4126. [Google Scholar]
- 34.Schoder D., Pelz A., Paulsen P. Transmission scenarios of Listeria monocytogenes on small ruminant on-farm dairies. Foods. 2023;12(2):265. doi: 10.3390/foods12020265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Goulet V., et al. Increasing incidence of listeriosis in France and other European countries. Emerg. Infect. Dis. 2008;14(5):734–740. doi: 10.3201/eid1405.071395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Schoder D., Guldimann C., Märtlbauer E. Asymptomatic carriage of Listeria monocytogenes by animals and humans and its impact on the food chain. Foods. 2022;11(21):3472. doi: 10.3390/foods11213472. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Gorski L., et al. Prevalence and clonal diversity of over 1,200 Listeria monocytogenes isolates collected from public access waters near produce production areas on the Central California coast during 2011 to 2016. Appl. Environ. Microbiol. 2022;88(8) doi: 10.1128/aem.00357-22. e00357–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Weller D., Wiedmann M., Strawn L.K. Spatial and temporal factors associated with an increased prevalence of Listeria monocytogenes in spinach fields in New York state. Appl. Environ. Microbiol. 2015;81(17):6059–6069. doi: 10.1128/AEM.01286-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Hellberg R.S., Chu E. Effects of climate change on the persistence and dispersal of foodborne bacterial pathogens in the outdoor environment: a review. Crit. Rev. Microbiol. 2016;42(4):548–572. doi: 10.3109/1040841X.2014.972335. [DOI] [PubMed] [Google Scholar]
- 40.Iwu C.D., et al. Modelling the potential risk of infection associated with Listeria monocytogenes in irrigation water and agricultural soil in two district municipalities in South Africa. Microorganisms. 2022;10(1):181. doi: 10.3390/microorganisms10010181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Wang P., et al. Associations between long-term drought and diarrhea among children under five in low-and middle-income countries. Nat. Commun. 2022;13(1):3661. doi: 10.1038/s41467-022-31291-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Meinen A., et al. Antimicrobial resistance in Germany and Europe - a systematic review on the increasing threat accelerated by climate change. J. Health Monit. 2023;8(Suppl. 3):93–108. doi: 10.25646/11404. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Pepi M., Focardi S. Antibiotic-resistant Bacteria in aquaculture and climate change: a challenge for health in the Mediterranean area. Int. J. Environ. Res. Public Health. 2021;18(11):5723. doi: 10.3390/ijerph18115723. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Kaba H.E.J., Kuhlmann E., Scheithauer S. Thinking outside the box: association of antimicrobial resistance with climate warming in Europe – a 30 country observational study. Int. J. Hyg. Environ. Health. 2020;223(1):151–158. doi: 10.1016/j.ijheh.2019.09.008. [DOI] [PubMed] [Google Scholar]
- 45.MacFadden D.R., et al. Antibiotic resistance increases with local temperature. Nat. Clim. Chang. 2018;8(6):510–514. doi: 10.1038/s41558-018-0161-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Cassini A., et al. Attributable deaths and disability-adjusted life-years caused by infections with antibiotic-resistant bacteria in the EU and the European economic area in 2015: a population-level modelling analysis. Lancet Infect. Dis. 2019;19(1):56–66. doi: 10.1016/S1473-3099(18)30605-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.McMichael A.J., Woodruff R.E. The Social Ecology of Infectious Diseases. Elsevier; 2008. Climate change and infectious diseases; pp. 378–407. [Google Scholar]
- 48.Donkor E.S. Cockroaches and food-borne pathogens. Environm. Health Insight. 2020;14 doi: 10.1177/1178630220913365. p. 1178630220913365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Pang R., et al. The genomic context for the evolution and transmission of community-associated Staphylococcus aureus ST59 through the food chain. Front. Microbiol. 2020;11 doi: 10.3389/fmicb.2020.00422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Song M., et al. Staphylococcus aureus and biofilms: transmission, threats, and promising strategies in animal husbandry. J. Anim. Sci. Biotechnol. 2024;15(1):44. doi: 10.1186/s40104-024-01007-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Schmithausen R.M., et al. Reservoirs and transmission pathways of resistant Indicator Bacteria in the biotope pig stable and along the food chain: a review from a one health perspective. Sustainability. 2018;10(11):3967. [Google Scholar]
- 52.Hazards E.P.O.B., et al. Persistence of microbiological hazards in food and feed production and processing environments. EFSA J. 2024;22(1) doi: 10.2903/j.efsa.2024.8521. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Hoorfar J. Elsevier; 2012. Case Studies in food SAFETY and Authenticity: Lessons from Real-Life Situations. [Google Scholar]
- 54.Duchenne-Moutien R.A., Neetoo H. Climate change and emerging food safety issues: a review. J. Food Prot. 2021;84(11):1884–1897. doi: 10.4315/JFP-21-141. [DOI] [PubMed] [Google Scholar]
- 55.Zhang Y., Bi P., Hiller J.E. Climate variations and Salmonella infection in Australian subtropical and tropical regions. Sci. Total Environ. 2010;408(3):524–530. doi: 10.1016/j.scitotenv.2009.10.068. [DOI] [PubMed] [Google Scholar]
- 56.Heidari T., et al. Significance of climate change in food safety and hygiene. Jundishapur J. Health Sci. 2023;15(4) [Google Scholar]
- 57.Khan I., et al. Microbes and climate: a tangled relation. Microbiom. Glob. Climate Chang. 2021:3–15. [Google Scholar]
- 58.Welch K., et al. Salmonella and the changing environment: systematic review using New York state as a model. J. Water Health. 2018;17(2):179–195. doi: 10.2166/wh.2018.224. [DOI] [PubMed] [Google Scholar]
- 59.Jiang C., et al. Climate change, extreme events and increased risk of salmonellosis in Maryland, USA: evidence for coastal vulnerability. Environ. Int. 2015;83:58–62. doi: 10.1016/j.envint.2015.06.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Akil L., Ahmad H.A., Reddy R.S. Effects of climate change on Salmonella infections. Foodborne Pathog. Dis. 2014;11(12):974–980. doi: 10.1089/fpd.2014.1802. [DOI] [PMC free article] [PubMed] [Google Scholar]
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Data Availability Statement
No data was used for the research described in the article.

