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Review

The Impact of Climate Change on Cholera: A Review on the Global Status and Future Challenges

1
Medical School, University of Cyprus, Nicosia 1678, Cyprus
2
Department of Medicine, Nicosia General Hospital, Nicosia 2029, Cyprus
*
Author to whom correspondence should be addressed.
Atmosphere 2020, 11(5), 449; https://doi.org/10.3390/atmos11050449
Received: 21 March 2020 / Revised: 27 April 2020 / Accepted: 27 April 2020 / Published: 29 April 2020

Abstract

:
Water ecosystems can be rather sensitive to evolving or sudden changes in weather parameters. These changes can result in alterations in the natural habitat of pathogens, vectors, and human hosts, as well as in the transmission dynamics and geographic distribution of infectious agents. However, the interaction between climate change and infectious disease is rather complicated and not deeply understood. In this narrative review, we discuss climate-driven changes in the epidemiology of Vibrio species-associated diseases with an emphasis on cholera. Changes in environmental parameters do shape the epidemiology of Vibrio cholerae. Outbreaks of cholera cause significant disease burden, especially in developing countries. Improved sanitation systems, access to clean water, educational strategies, and vaccination campaigns can help control vibriosis. In addition, real-time assessment of climatic parameters with remote-sensing technologies in combination with robust surveillance systems could help detect environmental changes in high-risk areas and result in early public health interventions that can mitigate potential outbreaks.

Graphical Abstract

1. Introduction

Climate change exposes individuals and organized human societies to risk affecting human health both directly and indirectly. Risks are disproportionately distributed and greater for marginalized and disadvantaged people and communities. The direct impact (for example, heat-related morbidity and mortality or injuries) arises from changing patterns of temperature and rainfall, and changes in the frequency and strength of climatic extremes (heatwaves, hurricanes, and floods) [1,2]. Indirect pathways include effects of climate change on water resources, on food production systems, on population displacement, and on prevalence and incidence of infectious pathogens [3]. Climate change can affect the epidemiological dynamics of multiple infectious agents, including vector-borne, water-borne, and food-borne pathogens. For instance, high temperatures can change the replication, virulence, and survival of microbes; and heavier and frequent precipitation may overwhelm sanitation systems or the viability and geographical distribution of mosquitoes. Even pathogens that pass directly from an infected person to a susceptible one can be influenced by climate change. For instance, human immunodeficiency virus (HIV) and sexually transmitted infections are likely to occur in settings of climate change-related conflicts or in the context of forced population movement, as people will increasingly compete for valuable but scarce natural resources.
Water-borne diseases are those associated with water, i.e., people become infected following contact with water or ingestion of water or consumption of contaminated seafood [4]. Common water-borne transmitted pathogens include Campylobacter, Vibrios, Calicivirus, Giardia, and Cryptosporidium [5]. Cholera and other diseases caused by Vibrio (V.) species (Vibrio parahaemolyticus, Vibrio vulnificus) comprise major water-borne ailments in some areas and a priority health issue given projected further warming and long-lasting impacts on all elements of the climate system, including oceans and the water cycle [6]. Cholera is a gastrointestinal infectious disease caused by V. cholerae, a comma-shaped Gram-negative rod. V. cholerae is found in salty and fresh water, commonly in coastal areas or estuaries [6]. Under adverse environmental conditions and organic nutrient depletion, V. cholerae can form biofilms and survive in a dormant state [7]. V. cholerae, as other pathogenic Vibrio species, such as V. parahaemolyticus, V. vulnificus, and V. alginolyticus, have seasonal distribution, with a predominance of infections occurring in the warmer months in temperate zones [6].
This narrative review aimed to summarize the existing evidence and to enhance our understanding of climate-induced changes in the epidemiology of diseases caused by Vibrio species and especially from cholera. The review attempts to cover a range of topics including a short introduction to the influence of climate change on oceans, cryosphere, and aquatic systems; basic knowledge about cholera and other Vibrio species, their transmission, and previous large-scale epidemics; the association between climatic variability and occurrence of cholera and other diseases from Vibrio pathogens; tools and technologies currently available to predict changes in the burden and distribution of cholera and non-cholera vibrio-related disease; and options and potential interventions to manage and mitigate the consequences of vibrio-related diseases due to climate change.

2. Impacts of Climate Change on Aquatic Ecosystems Related to Vibrio Infections—An Overview of Evidence

Oceans have certainly become warmer, especially on the surface, with the upper 75 m warmed by 0.11 °C per decade between 1971 and 2010 [8]. Although ocean warming is slower, the pace of climate change and seasonal shift in the ocean is as high as on land [9]. Moreover, around one-third of the emitted anthropogenic CO2 is stored in the oceans. Oceanic uptake of increased atmospheric CO2 has resulted in decreased pH of ocean surface water by 0.1, which corresponds to a 26% increase in acidity [8,10]. Ocean acidification poses marine ecosystems, and especially coral reefs and polar ecosystems, significant risk [8]. Moreover, ocean acidification acts in synergy with other global impacts, such as warming and gradually reduced oxygen levels, and with local phenomena, such as pollution and eutrophication, resulting in shifts in species’ geographic ranges, seasonal activities, migration patterns, abundances, and interactions with other species [10]. Redistribution or even extinction of marine species and reduced biodiversity can challenge the productivity of fisheries and other services but also propagate growth and transmission of some pathogens, and may result in serious outbreaks (e.g., zoo-plankton blooms and Vibrio infections) [2,11,12,13,14,15,16,17]. Finally, climate change affects the amount of salt in the oceanic surface. Since the 1950s, seawater of high surface salinity, where evaporation dominates, has become more saline, while areas of low saltiness, where precipitation is frequent, have become fresher [8]. The abundance of some pathogens, like that of cholera, depends on salinity [14,15,16,18,19,20].
Table 1 summarizes the environmental risk factors and their effect on V. cholerae expansion, spread, or disease potential. Ocean surface temperature, CO2 and oxygen concentrations, and ocean acidification, pollution, and salinity affect bacterial replication, while ocean level, rainfall, or floods and droughts affect the spread of V. cholerae.
Due to climate change, the amount of sea ice has diminished considerably. Over the period 1992-2011, the Greenland and Antarctic ice sheets have been losing mass, while the yearly averaged Arctic sea-ice extent declined from 1979 to 2012, with a decennial rate between 3.5% to 4.1% [8]. Ice melting and ocean thermal expansion due to warming have largely contributed to sea-level rise [21]. The global averaged sea level rose by 0.19 m between 1901 and 2010, demonstrating a rapid increasing rate since the mid-19th century compared with the mean rate during the previous two millennia [8]. Climate change and especially the upward shift of the sea surface severely affect coastal locations over and above the impact of other important factors, including increased population density, runoff and pollution, and human activities, such as overfishing. According to recent analyses and despite some spatial and seasonal variation, approximately 71% of the coastlines analyzed also showed significant increases in sea surface temperature (SST) [15,22]. Along with oxygen concentration that has decreased in coastal waters [8], warming affects the biodiversity of coastal systems. Moreover, the elevation of sea level is likely to cause an intrusion of seawater into coastlands, coastal rivers, and freshwater, erosion, serious regular flooding events, and even covering of low-lying areas. Under these circumstances, the likelihood of transmission of water-borne (e.g., cholera) and rodent-borne (e.g., leptospirosis) pathogens increases substantially [2,21]. If stagnant water is also trapped following a flooding event, vulnerability to mosquito-borne diseases (e.g., malaria or dengue fever) becomes larger.
In the context of climate change, rainfall patterns are dynamic. Heavier and frequent precipitation in some areas can overwhelm wastewater treatment plants and septic systems, resulting in contamination of surface water and wells. On the other hand, lower rainfall in other regions may cause droughts and water scarcity, leading to increased microbial load in limited water supplies, use of contaminated rainwater, or competition for scarce water [23]. Altered rainfall patterns, higher temperatures, and intense and more frequent weather extremes, often resulting in natural disasters in countries with vulnerable infrastructure, are likely to compromise the supply of clean and safe water, sanitation, and the function of drainage systems with important consequences to the spread of water-borne diseases including cholera [4,11,13,15,24,25,26,27,28,29,30].
The schematic representation of the major drivers for cholera infection or cholera outbreaks is presented in Figure 1.

3. Vibrio cholera—An Overview of Epidemiology, Transmission, and Clinical Disease

It is estimated that about 2.86 million (1.3 m–4.0 m) cholera cases occur annually in endemic countries with 95,000 (21,000–143,000) deaths per year [31]. Cholera is endemic in several developing countries in Asia, Africa, and Latin America. In countries with high population density, limited access to safe drinking water and suboptimal sanitation practices or disruption of public health systems, continue to cause significant morbidity and mortality. On the other hand, in developed countries, there is an increased frequency of Vibrio spp. infections, which may be associated with anthropogenic climate change.
Over 200 serotypes of V. cholerae have been identified; however, serotypes O1 and O139 are those predominantly causing disease and outbreaks in human populations [31]. Serotype O1 is further characterized based on phenotypic characteristics as classical or El Tor biotype. The El Tor O1 strains have spread around the globe and displaced the classical biotype strains during the last decades [32,33].
V. cholerae spp. are transmitted through the ingestion of contaminated water or food and by the fecal-oral route. The incubation period ranges from 1 to 5 days [34]. Non-cholera Vibrio spp., such as V. parahaemolyticus, V. vulnificus, and V. alginolyticus, are transmitted through contaminated seafood and direct exposure to water. They cause a considerable number of infections, especially in the United States (US), where sufficient data are collected due to the strong surveillance system for vibrioses [6]. Most Vibrios cause gastrointestinal disease, however, some (i.e., V. vulnificus) can cause severe wound infections. Clinically, cholera is characterized by profuse diarrhea resulting in severe dehydration and death without therapeutic intervention. Treatment is supportive, and the most important therapeutic measure is the administration of oral rehydration solution (ORS) or intravenous fluids [12]. Antimicrobials are also effective; however, antimicrobial resistance to sulfamethoxazole–trimethoprim, ciprofloxacin, aminoglycosides, chloramphenicol, and azithromycin has been described [33]. There are four available oral vaccines, two primarily for travelers (Dukoral, Vaxchora) and two mainly used in mass campaigns for populations at risk (Shanchol, Euvichol) [35]; however global supply is limited. From a public health perspective, prompt detection of an outbreak followed by source identification and control are paramount measures in the management of cholera. Improving sanitation systems, securing access to clean water, and vaccination campaigns have been shown to decrease disease burden associated with cholera.

Climate-Driven Changes in the Epidemiology of Cholera and Other Vibrio Species

V. cholerae, like other pathogens, requires certain environmental conditions (30 °C temperature, pH 8.5, 15% salinity), to survive and thrive [6]. When encountered with more hostile circumstances, V. cholerae persists for long periods in its aquatic niche in a dormant state, or interacts with tiny planktonic crustaceans and animals, such as oysters and copepods [36,37]. Ocean currents can displace plankton together with attached Vibrios [38].
During the nineteenth century, six pandemics occurred, first at coastlines, while dispersion was achieved through maritime activity. All pandemics were attributed to contaminated water from rivers or swampy waters. Moreover, they started from Bangladesh and were caused by V. cholerae serotype O1 [38,39]. Details about the cholera pandemics are presented in Table 2. During 1926–1960 and in light of improvements in water management, it was assumed that cholera pandemics could be a part of history. However, at the end of the twentieth century, a different spread of a new V. cholerae biotype (El Tor) was observed, causing the seventh pandemic. It started in Indonesia in 1961 and spread to Africa and South America over the next decades [38]. Almost all South American countries were involved during the last pandemic, and climate change seems to have played a role. In South America (from January 1991 in Peru until February 1991 in Ecuador), there was an almost simultaneous appearance of outbreaks at a distance of more than 2100 km. The El-Nino event, which causes phytoplacton blooms due to the confluence of rain and nutrients from land into the warm SST, could explain the geographically distant cholera outbreaks since a large “infectious dose” of V. cholerae may have originated from river overflow [36]. In detail, the infectious dose of 10³ V. cholerae cells could be provided by one copepod as each one usually carries more than 10⁴ V. cholerae cells, and during a plankton bloom, several copepods are contained in a glass of untreated water. In 1992 an outbreak of the new V. cholerae serogroup 0139 caused a large outbreak in India and Southeast Asia [36,39].
The El Niño/Southern Oscillation (ENSO) periodicity has been connected to many cholera outbreaks and is characterized as a ‘powerful natural experiment’ [40]. The extreme weather conditions of higher temperature, increased rainfall, and consequent flooding, associated with one of the strongest ENSO events, which occurred in 1997 and lasted until 1998, may explain the global surge of outbreaks observed between 1997 through 1999 [40]. As Mercedes et al. showed in their study [41], the interannual variability of cholera cases correlates with the ENSO time series. In this regard, climate variability seems to affect disease dynamics. During the last two decades of the 20th century, this strong association between ENSO and cholera accounts for more than 70% of the disease variance [42]. Moreover, other events, such as the Northern Hemisphere Temperature and Atlantic Multidecadal Oscillation, are known to correlate positively with Vibrios abundance [43].
Climate variations may also affect the genetic diversity of strains between epidemics through environmentally driven changes in the expression of virulence factors [44]. Genetic variability of clinical and environmental strains during and between epidemics occurring in the last 20 years in Bangladesh and neighboring countries, as well as clonal variability of toxigenic V. cholera, have been well documented [45,46,47,48]. Environmental factors, such as rainfall, seem to influence serotype selection (between O1 and O139 strains), as shown by Goel et al., in two subsequent epidemics in India [49]. Rainfall, as well as increased salinity and water temperature, enhances V. cholerae biofilm formation, potentially by affecting the expression of genes responsible for vibrio polysaccharide synthesis (vps) [50,51]. Another example is the predominance of the El Tor biotype over the classical one during suboptimal climatic conditions due to its better fitness, owing again to the expression of the vps gene [52]. Moreover, transduction, which can give rise to novel toxigenic clones, is enhanced by certain environmental conditions, including optimal temperature, sunlight, and osmotic conditions [16].
An increase in SST seems to be a critical factor not only for Vibrio persistence but also for the emergence of new Vibrio spp. habitats (Table 3). Data from the Baltic Sea during the last decades have confirmed these warming patterns, which correspond closely with the emergence and spread of Vibrio infections in the area. Furthermore, many reports of Vibrio-associated wound infections were recorded during the warm summers of 1994, 2003, and 2006 when SST exceeded 19 °C for more than three weeks. Baker-Austin et al. [6] showed that climate change has affected aquatic bacterial communities and the emergence of Vibrio disease in temperate areas. The authors explain the variability of Vibrio-related disease using generalized linear models (GLM) by maximum SST and time, concluding in a very strong association between SST and Vibrio cases. Several biological explanations support these results, including increased bacterial replication in high temperatures, temperature mediated pathogenicity of Vibrio spp., and increased leisure activities, such as bathing during such circumstances. Vezzulli et al. [53] also proposed a similar relationship between climate change and Vibrio disease using generalized additive models. Abundance of Vibrio was induced by an increase in SST, up to 1.5 °C during the past 54 years, and this was positively correlated with northern hemisphere temperatures [43,53]. From a different perspective, another study, involving the coastal Bay of Bengal, concluded that the association between SST and cholera could be explained from the presence and dominance of high river discharge [54]. This was proposed after showing that phytoplankton-related chlorophyll and SST were positively correlated during high river discharge and negatively correlated during low river discharge. Based on this finding, the authors suggested that cholera prediction models will benefit from the inclusion of nutrient influx and phytoplankton and zooplankton blooms, in addition to other climatic variables for the early detection of outbreaks. In addition, Lipp et al. [16] highlighted in their review that the likelihood of consuming an infectious dose of Vibrios during community use of untreated water is higher during the bloom of copepods. The association of cholera and commensal copepods could also inform models of early outbreak risk recognition based on SST, surface height, and plankton blooms. High salinity and elevated water temperature could influence the expression of regulatory and virulence genes found in V. cholerae, such as TfoX and the activity of Chi A2 [55]. Increased water temperature enhances V. cholerae growth by decreasing replication time, underlining the importance of environmental conditions and V. cholerae transmission dynamics [16]. Finally, another study found that the number of clinical cases in Bangladesh correlated with an air temperature of more than 28.6 °C and more than 4 hours of sunshine daily [56].
Interestingly, using artificial intelligence applications, it has been shown that cholera cases were associated with periods of low precipitation and higher temperatures. Asadgol and colleagues [57] used artificial neural networks projecting from 2021 to 2050 to study the effect of climate change in cholera disease, using data from 1998 to 2016 of daily cholera infections in Qom city, Iran. A trend towards increasing cholera cases was observed with a significant correlation between low precipitation and cholera infection. Higher temperatures in warmer months could also contribute to this trend [57]. Similar tools, using artificial intelligence methods to model the association between disease cases and environmental conditions, could predict the risk for future outbreaks and thus inform early public health interventions. Other crucial predisposing factors that contribute to the occurrence of cholera outbreaks are rainfall patterns and floodings. After studying an outbreak of cholera in 2015 in South Sudan, investigators analyzed the rainfall patterns using deterministic and stochastic models [58]. They concluded that rainfall patterns are fundamental drivers for a cholera epidemic, and they were able to capture seasonal trends as well as short term seasonal fluctuations. Possible mechanistic ways for this rainfall drive are the increased exposure to contaminated water and contamination with bacteria from open-air defecation sites and overflows. Heavy rainfall and flooding are considered as important as well as common risk factors for cholera outbreaks worldwide during 1995-2005, explaining the global increase in such outbreaks during 1997 and 1999 [38].
Apart from endemic countries, the risk of imported V. cholerae is substantial in non-endemic countries with weak healthcare infrastructure and public health systems. The cholera outbreak in Haiti in 2010, following the large earthquake, was believed to have initiated from an imported strain from South Asia via international personnel [59,60]. However, the outbreak may have resulted in propagation due to favorable environmental conditions since the average temperature and rainfall had been above average around that time and before it began [61]. Notably, disruption of the public health system and lack of access to safe water also contributed to its course. Natural disasters and extreme weather events can cause the breakdown of healthcare infrastructure, jeopardize sanitation systems and access to clean water, and, overall, increase vulnerability to cholera epidemics in endemic regions.

4. Prevention of Cholera—Future Directions

The World Health Organization (WHO) has estimated that up to 90% of wastewater is discharged, without treatment, directly into the environment (rivers, lakes, and the ocean), in developing countries [62]. Moreover, approximately 1.8 billion people worldwide drink water from a fecally contaminated source [63]. With overburdened healthcare systems, which lack resources for optimal surveillance, outbreaks of V. cholerae can occur. In addition, when there is a breakdown of healthcare infrastructure during catastrophic events or weakened health systems, these outbreaks can cause significant mortality. Water source control, local or centralized sanitation systems, and wastewater management are paramount for the prevention of V. cholerae transmission. Improving vaccination effectiveness in developing countries by geographical targeting of routine mass vaccination programs [64] and access to vaccination by increasing global supply will also enhance efforts to reduce the burden of cholera. Overall, strengthening public health infrastructure and laboratory diagnostic capacity in developing countries is of paramount importance in outbreak detection and control of V. cholerae transmission.
There is also a need for a robust national, regional, and global surveillance system that would generate epidemiologic data regarding existing and emerging areas of risk for Vibrio infections [65,66]. To date, only the US gathers epidemiological data systematically since 1988 through the Cholera and Other Vibrio Information Service (COVIS) CDC program [67]. Assessment of risk should focus on coastal hotspots and regions undergoing rapid warming (i.e., the Pacific northwest, the East China Sea) [22]. Early warning systems that integrate climatic variables, remotely sensed spatial data, and global climate trends could help detect areas with environmental factors conducive to Vibrio growth and transmission and thus inform public health measures to mitigate potential cholera outbreaks. However, these systems must be built on previously well-characterized associations between certain environmental phenomena and V. cholerae-related disease [68]. Participatory surveillance using cell phone applications for the collection and dissemination of citizen observations may assist in the early detection of unusual cholera activity [69]. High-risk areas with Vibrio populations in their coastal estuaries could develop long-term monitoring programs for drinking and recreational water. Intermittent sampling to test for organic nutrient content, salinity, zooplankton concentration, and bacterial abundance is important to maintaining water quality and monitoring for major changes in the microenvironment that could suggest a change in Vibrio populations [65]. Furthermore, the development of educational programs about the risks of water-borne diseases and best hygienic practices are of great relevance and importance in view of climate change adaptation [70].

5. Conclusions

Vibrio related diseases cause significant morbidity and mortality worldwide, though some countries, such as Southeast Asia and Africa, are currently more heavily affected. Non-endemic countries are at risk given favorable environmental conditions and disruptions of their public health infrastructure. Global surveillance networks can inform local institutions regarding current cholera or other vibrioses geographic burden. Enforcing local surveillance systems, improving hygiene practices and sanitation systems, combined with educational programs and vaccination campaigns, wherever needed, in vulnerable areas, could reduce the burden of cholera disease in human populations. Moreover, real-time measurement through remote sensing technologies of climate variability, micro-environmental conditions of oceanic regions and coastal areas, as well as the integration of information from population demographics and mobility, could inform predictive models of cholera outbreak risk in endemic and non-endemic areas.

Author Contributions

Conceptualization, G.K.N; methodology, E.C. and G.K.N; investigation, E.C., P.D., and K.P.; writing—original draft preparation, E.C., P.D., K.P..; writing—review and editing, E.C., P.D., K.P., and G.K.N; supervision, E.C. and G.K.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Watts, N.; Amann, M.; Arnell, N.; Ayeb-Karlsson, S.; Belesova, K.; Berry, H.; Bouley, T.; Boykoff, M.; Byass, P.; Cai, W.; et al. The 2018 report of the Lancet Countdown on health and climate change: Shaping the health of nations for centuries to come. Lancet 2018, 392, 2479–2514. [Google Scholar] [CrossRef]
  2. Costello, A.; Abbas, M.; Allen, A.; Ball, S.; Bell, S.; Bellamy, R.; Friel, S.; Groce, N.; Johnson, A.; Kett, M.; et al. Managing the health effects of climate change: Lancet and University College London Institute for Global Health Commission. Lancet 2009, 373, 1693–1733. [Google Scholar] [CrossRef]
  3. Watts, N.; Amann, M.; Ayeb-Karlsson, S.; Belesova, K.; Bouley, T.; Boykoff, M.; Byass, P.; Cai, W.; Campbell-Lendrum, D.; Chambers, J.; et al. The Lancet Countdown on health and climate change: From 25 years of inaction to a global transformation for public health. Lancet 2018, 391, 581–630. [Google Scholar] [CrossRef]
  4. Nichols, G.; Lake, I.; Heaviside, C. Climate change and water-related infectious diseases. Atmosphere 2018, 9, 385. [Google Scholar] [CrossRef][Green Version]
  5. ECDC. Annual Epidemiological Report on Communicable Diseases in Europe 2010; ECDC: Solna Stad, Sweden, 2010; ISBN 9789291932221. [Google Scholar]
  6. Baker-Austin, C.; Oliver, J.D.; Alam, M.; Ali, A.; Waldor, M.K.; Qadri, F.; Martinez-Urtaza, J. Vibrio spp. infections. Nat. Rev. Dis. Prim. 2018, 4, 8. [Google Scholar] [CrossRef] [PubMed]
  7. Clemens, J.D.; Nair, G.B.; Ahmed, T.; Qadri, F.; Holmgren, J. Cholera. Lancet 2017, 390, 1539–1549. [Google Scholar] [CrossRef]
  8. Intergovermental Panel on Climate Change. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change; Intergovermental Panel on Climate Change: Geneva, Switzerland, 2014.
  9. Burrows, M.T.; Schoeman, D.S.; Buckley, L.B.; Moore, P.; Poloczanska, E.S.; Brander, K.M.; Brown, C.; Bruno, J.F.; Duarte, C.M.; Halpern, B.S.; et al. The pace of shifting climate in marine and terrestrial ecosystems. Science 2011, 334, 652–655. [Google Scholar] [CrossRef][Green Version]
  10. Hoegh-Guldberg, O.; Bruno, J.F. The impact of climate change on the world’s marine ecosystems. Science 2010, 328, 1523–1528. [Google Scholar] [CrossRef]
  11. Walker, J.T. The influence of climate change on waterborne disease and Legionella: A review. Perspect. Public Health 2018, 138, 282–286. [Google Scholar] [CrossRef]
  12. Pounds, J.A.; Bustamante, M.R.; Coloma, L.A.; Consuegra, J.A.; Fogden, M.P.L.; Foster, P.N.; La Marca, E.; Masters, K.L.; Merino-Viteri, A.; Puschendorf, R.; et al. Widespread amphibian extinctions from epidemic disease driven by global warming. Nature 2006, 439, 161–167. [Google Scholar] [CrossRef]
  13. Marcogliese, D.J. The distribution and abundance of parasites in aquatic ecosystems in a changing climate: More than just temperature. Integr. Comp. Biol. 2016, 56, 611–619. [Google Scholar] [CrossRef] [PubMed][Green Version]
  14. Marcogliese, D.J. The impact of climate change on the parasites and infectious diseases of aquatic animals. OIE Rev. Sci. Tech. 2008, 27, 467–484. [Google Scholar] [CrossRef]
  15. Baker-Austin, C.; Trinanes, J.; Gonzalez-Escalona, N.; Martinez-Urtaza, J. Non-cholera vibrios: The microbial barometer of climate change. Trends Microbiol. 2017, 25, 76–84. [Google Scholar] [CrossRef] [PubMed][Green Version]
  16. Lipp, E.K.; Huq, A.; Colwell, R.R. Effects of global climate on infectious disease: The cholera model. Clin. Microbiol. Rev. 2002, 15, 757–770. [Google Scholar] [CrossRef][Green Version]
  17. Altizer, S.; Ostfeld, R.S.; Johnson, P.T.J.; Kutz, S.; Harvell, C.D. Climate change and infectious diseases: From evidence to a predictive framework. Science 2013, 341, 514–519. [Google Scholar] [CrossRef][Green Version]
  18. Singleton, F.L.; Attwell, R.W.; Jangi, M.S.; Colwell, R.R. Influence of salinity and organic nutrient concentration on survival and growth of Vibrio cholerae in aquatic microcosms. Appl. Environ. Microbiol. 1982, 43, 1080–1085. [Google Scholar] [CrossRef][Green Version]
  19. Baker-Austin, C.; Trinanes, J.A.; Taylor, N.G.H.; Hartnell, R.; Siitonen, A.; Martinez-Urtaza, J. Emerging Vibrio risk at high latitudes in response to ocean warming. Nat. Clim. Chang. 2013, 3, 73–77. [Google Scholar] [CrossRef]
  20. Motes, M.L.; DePaola, A.; Cook, D.W.; Veazey, J.E.; Hunsucker, J.C.; Garthright, W.E.; Blodgett, R.J.; Chirtel, S.J. Influence of water temperature and salinity on Vibrio vulnificus in Northern Gulf and Atlantic Coast oysters (Crassostrea virginica). Appl. Environ. Microbiol. 1998, 64, 1459–1465. [Google Scholar] [CrossRef][Green Version]
  21. Dvorak, A.C.; Solo-Gabriele, H.M.; Galletti, A.; Benzecry, B.; Malone, H.; Boguszewski, V.; Bird, J. Possible impacts of sea level rise on disease transmission and potential adaptation strategies, a review. J. Environ. Manag. 2018, 217, 951–968. [Google Scholar] [CrossRef]
  22. Lima, F.P.; Wethey, D.S. Three decades of high-resolution coastal sea surface temperatures reveal more than warming. Nat. Commun. 2012, 3, 704. [Google Scholar] [CrossRef][Green Version]
  23. Mora, C.; Spirandelli, D.; Franklin, E.C.; Lynham, J.; Kantar, M.B.; Miles, W.; Smith, C.Z.; Freel, K.; Moy, J.; Louis, L.V.; et al. Broad threat to humanity from cumulative climate hazards intensified by greenhouse gas emissions. Nat. Clim. Chang. 2018, 8, 1062–1071. [Google Scholar] [CrossRef]
  24. Soneja, S.; Jiang, C.; Romeo Upperman, C.; Murtugudde, R.; Mitchell, C.S.; Blythe, D.; Sapkota, A.R.; Sapkota, A. Extreme precipitation events and increased risk of campylobacteriosis in Maryland, U.S.A. Environ. Res. 2016, 149, 216–221. [Google Scholar] [CrossRef] [PubMed]
  25. Checkley, W.; Epstein, L.D.; Gilman, R.H.; Figueroa, D.; Cama, R.I.; Patz, J.A.; Black, R.E. Effects of El Nino and ambient temperature on hospital admissions for diarrhoeal diseases in Peruvian children. Lancet 2000, 355, 442–450. [Google Scholar] [CrossRef]
  26. Curriero, F.C.; Patz, J.A.; Rose, J.B.; Lele, S. The association between extreme precipitation and waterborne disease outbreaks in the United States, 1948–1994. Am. J. Public Health 2001, 91, 1194–1199. [Google Scholar] [CrossRef] [PubMed]
  27. Naumova, E.N.; Jagai, J.S.; Matyas, B.; DeMaria, A.; MacNeill, I.B.; Griffiths, J.K. Seasonality in six enterically transmitted diseases and ambient temperature. Epidemiol. Infect. 2007, 135, 281–292. [Google Scholar] [CrossRef] [PubMed]
  28. Lal, A.; Ikeda, T.; French, N.; Baker, M.G.; Hales, S. Climate variability, weather and enteric disease incidence in New Zealand: Time series analysis. PLoS ONE 2013, 8, e83484. [Google Scholar] [CrossRef] [PubMed]
  29. Cann, K.F.; Thomas, D.R.; Salmon, R.L.; Wyn-Jones, A.P.; Kay, D. Extreme water-related weather events and waterborne disease. Epidemiol. Infect. 2013, 141, 671–686. [Google Scholar] [CrossRef]
  30. Levy, K.; Smith, S.M.; Carlton, E.J. Climate change impacts on waterborne diseases: Moving toward designing interventions. Curr. Environ. Health Rep. 2018, 5, 272–282. [Google Scholar] [CrossRef]
  31. Ali, M.; Nelson, A.R.; Lopez, A.L.; Sack, D.A. Updated global burden of cholera in endemic countries. PLoS Negl. Trop. Dis. 2015, 9, e0003832. [Google Scholar] [CrossRef][Green Version]
  32. Piarroux, R.; Faucher, B. Cholera epidemics in 2010: Respective roles of environment, strain changes, and human-driven dissemination. Clin. Microbiol. Infect. 2012, 18, 231–238. [Google Scholar] [CrossRef][Green Version]
  33. Charles, R.C.; Ryan, E.T. Cholera in the 21st century. Curr. Opin. Infect. Dis. 2011, 24, 472–477. [Google Scholar] [CrossRef] [PubMed]
  34. Schmid-Hempel, P.; Frank, S.A. Pathogenesis, virulence, and infective dose. PLoS Pathog. 2007, 3, e147. [Google Scholar] [CrossRef] [PubMed][Green Version]
  35. World Health Organization. Cholera vaccines: WHO position paper—August 2017. Wkly Epidemiol Rec. 2017, 92, 477–498. [Google Scholar]
  36. Colwell, R.R.; Huq, A. Environmental reservoir of vibrio cholerae the causative agent of cholera. Ann. N. Y. Acad. Sci. 1994, 740, 44–54. [Google Scholar] [CrossRef] [PubMed]
  37. Islam, S.; Drasar, B.S.; Bradley, D.J. Long-term persistence of toxigenic Vibrio cholerae 01 in the mucilaginous sheath of a blue-green alga, Anabaena variabilis. J. Trop. Med. Hyg. 1990, 93, 133–139. [Google Scholar] [PubMed]
  38. Griffith, D.C.; Kelly-Hope, L.A.; Miller, M.A. Review of reported cholera outbreaks worldwide, 1995–2005. Am. J. Trop. Med. Hyg. 2006, 75, 973–977. [Google Scholar] [CrossRef]
  39. Colwell, R.R. Global climate and infectious disease: The cholera paradigm. Science 1996, 274, 2025–2031. [Google Scholar] [CrossRef][Green Version]
  40. Kovats, R.S.; Bouma, M.J.; Hajat, S.; Worrall, E.; Haines, A. El Niño and health. Lancet 2003, 362, 1481–1489. [Google Scholar] [CrossRef]
  41. Pascual, M.; Rodo, X.; Ellner, S.P.; Colwell, R.; Bouma, M.J. Cholera dynamics and El Nino-Southern Oscillation. Science 2000, 289, 1766–1769. [Google Scholar] [CrossRef][Green Version]
  42. Rodó, X.; Pascual, M.; Fuchs, G.; Faruque, A.S.G. ENSO and cholera: A nonstationary link related to climate change? Proc. Natl. Acad. Sci. USA 2002, 99, 12901–12906. [Google Scholar] [CrossRef][Green Version]
  43. Vezzulli, L.; Colwell, R.R.; Pruzzo, C. Ocean warming and spread of pathogenic vibrios in the aquatic environment. Microb. Ecol. 2013, 65, 817–825. [Google Scholar] [CrossRef] [PubMed]
  44. Chowdhury, F.R.; Nur, Z.; Hassan, N.; Seidlein, L.; Dunachie, S. Pandemics, pathogenicity and changing molecular epidemiology of cholera in the era of global warming. Ann. Clin. Microbiol. Antimicrob. 2017, 16, 1–6. [Google Scholar] [CrossRef] [PubMed][Green Version]
  45. Mukhopadhyay, A.K.; Basu, A.; Garg, P.; Bag, P.K.; Ghosh, A.; Bhattacharya, S.K.; Takeda, Y.; Nair, G.B. Molecular epidemiology of reemergent Vibrio cholerae O139 Bengal in India. J. Clin. Microbiol. 1998, 36, 2149–2152. [Google Scholar] [CrossRef] [PubMed][Green Version]
  46. Faruque, S.M.; Roy, S.K.; Alim, A.R.M.A.; Siddique, A.K.; Albert, M.J. Molecular epidemiology of toxigenic Vibrio cholerae in Bangladesh studied by numerical analysis of rRNA gene restriction patterns. J. Clin. Microbiol. 1995, 33, 2833–2838. [Google Scholar] [CrossRef] [PubMed][Green Version]
  47. Faruque, S.M.; Ahmed, K.M.; Siddique, A.K.; Zaman, K.; Abdul Alim, A.R.M.; Albert, M.J. Molecular analysis of toxigenic Vibrio cholerae O139 Bengal strains isolated in Bangladesh between 1993 and 1996: Evidence for emergence of a new clone of the Bengal vibrios. J. Clin. Microbiol. 1997, 35, 2299–2306. [Google Scholar] [CrossRef] [PubMed][Green Version]
  48. Siddique, A.K.; Cash, R. Cholera outbreaks in the classical biotype era. Curr. Top. Microbiol. Immunol. 2014, 379, 1–16. [Google Scholar] [PubMed]
  49. Goel, A.K.; Jiang, S.C. Association of heavy rainfall on genotypic diversity in V. cholerae isolates from an outbreak in India. Int. J. Microbiol. 2011, 2011, 230597. [Google Scholar] [CrossRef][Green Version]
  50. Pardio Sedas, V.T. Influence of environmental factors on the presence of Vibrio cholerae in the marine environment: A climate link. J. Infect. Dev. Ctries. 2007, 1, 224–241. [Google Scholar] [CrossRef]
  51. Lü, H.; Yuan, Y.; Sun, N.; Bi, Z.; Guan, B.; Shao, K.; Wang, T.; Bi, Z. Characterization of Vibrio cholerae isolates from 1976 to 2013 in Shandong Province, China. Braz. Braz. J. Microbiol. 2017, 48, 173–179. [Google Scholar] [CrossRef][Green Version]
  52. Koelle, K.; Pascual, M.; Yunus, M. Pathogen adaptation to seasonal forcing and climate change. Proc. R. Soc. B Biol. Sci. 2005, 272, 971–977. [Google Scholar] [CrossRef][Green Version]
  53. Vezzulli, L.; Grande, C.; Reid, P.C.; Hélaouët, P.; Edwards, M.; Höfle, M.G.; Brettar, I.; Colwell, R.R.; Pruzzo, C. Climate influence on Vibrio and associated human diseases during the past half-century in the coastal North Atlantic. Proc. Natl. Acad. Sci. USA 2016, 113, E5062–E5071. [Google Scholar] [CrossRef] [PubMed][Green Version]
  54. Jutla, A.S.; Akanda, A.S.; Griffiths, J.K.; Colwell, R.; Islam, S. Warming oceans, phytoplankton, and river discharge: Implications for cholera outbreaks. Am. J. Trop. Med. Hyg. 2011, 85, 303–308. [Google Scholar] [CrossRef] [PubMed][Green Version]
  55. Mondal, M.; Chatterjee, N.S. Role of vibrio cholerae exochitinase ChiA2 in horizontal gene transfer. Can. J. Microbiol. 2015, 62, 201–209. [Google Scholar] [CrossRef] [PubMed]
  56. Ramamurthy, T.; Sharma, N.C. Cholera outbreaks in India. In Current Topics in Microbiology and Immunology; Springer: Berlin/Heidelberg, Germany, 2014. [Google Scholar]
  57. Asadgol, Z.; Mohammadi, H.; Kermani, M.; Badirzadeh, A.; Gholami, M. The effect of climate change on cholera disease: The road ahead using artificial neural network. PLoS ONE 2019, 14, 1–20. [Google Scholar] [CrossRef][Green Version]
  58. Lemaitre, J.; Pasetto, D.; Perez-Saez, J.; Sciarra, C.; Wamala, J.F.; Rinaldo, A. Rainfall as a driver of epidemic cholera: Comparative model assessments of the effect of intra-seasonal precipitation events. Acta Trop. 2019, 190, 235–243. [Google Scholar] [CrossRef]
  59. Chin, C.S.; Sorenson, J.; Harris, J.B.; Robins, W.P.; Charles, R.C.; Jean-Charles, R.R.; Bullard, J.; Webster, D.R.; Kasarskis, A.; Peluso, P.; et al. The origin of the Haitian cholera outbreak strain. N. Engl. J. Med. 2011, 364, 33–42. [Google Scholar] [CrossRef][Green Version]
  60. Enserink, M. Haiti’s cholera outbreak. Cholera linked to U.N. forces, but questions remain. Science 2011, 332, 776–777. [Google Scholar] [CrossRef]
  61. Jutla, A.; Whitcombe, E.; Hasan, N.; Haley, B.; Akanda, A.; Huq, A.; Alam, M.; Sack, R.B.; Colwell, R. Environmental factors influencing epidemic cholera. Am. J. Trop. Med. Hyg. 2013, 89, 597–607. [Google Scholar] [CrossRef]
  62. WHO. Progress on Sanitation and Drinking-Water; WHO: Geneva, Switzerland, 2014. [Google Scholar]
  63. Bain, R.; Cronk, R.; Wright, J.; Yang, H.; Slaymaker, T.; Bartram, J. Fecal contamination of drinking-water in low- and middle-income countries: A systematic review and meta-analysis. PLoS Med. 2014, 11, e1001644. [Google Scholar] [CrossRef][Green Version]
  64. Lee, E.C.; Azman, A.S.; Kaminsky, J.; Moore, S.M.; McKay, H.S.; Lessler, J. The projected impact of geographic targeting of oral cholera vaccination in sub-Saharan Africa: A modeling study. PLoS Med. 2019, 16, 1–17. [Google Scholar] [CrossRef][Green Version]
  65. Escobar, L.E.; Ryan, S.J.; Stewart-Ibarra, A.M.; Finkelstein, J.L.; King, C.A.; Qiao, H.; Polhemus, M.E. A global map of suitability for coastal Vibrio cholerae under current and future climate conditions. Acta Trop. 2015, 149, 202–211. [Google Scholar] [CrossRef] [PubMed]
  66. Ajayi, A.; Smith, S.I. Recurrent cholera epidemics in Africa: Which way forward? A literature review. Infection 2018, 47, 341–349. [Google Scholar] [CrossRef] [PubMed]
  67. Newton, A.; Kendall, M.; Vugia, D.J.; Henao, O.L.; Mahon, B.E. Increasing rates of vibriosis in the United States, 1996–2010: Review of surveillance data from 2 systems. Clin. Infect. Dis. 2012, 54 (Suppl. 5), S391–S395. [Google Scholar] [CrossRef] [PubMed]
  68. Mendelsohn, J.; Dawson, T. Climate and cholera in KwaZulu-Natal, South Africa: The role of environmental factors and implications for epidemic preparedness. Int. J. Hyg. Environ. Health 2008, 211, 156–162. [Google Scholar] [CrossRef]
  69. Akanda, A.; Aziz, S.; Jutla, A.; Huq, A.; Alam, M.; Ahsan, G.; Colwell, R. Satellites and cell phones form a cholera early-warning system. Eos 2018, 99. [Google Scholar] [CrossRef]
  70. Kopprio, G.A.; Streitenberger, M.E.; Okuno, K.; Baldini, M.; Biancalana, F.; Fricke, A.; Martínez, A.; Neogi, S.B.; Koch, B.P.; Yamasaki, S.; et al. Biogeochemical and hydrological drivers of the dynamics of Vibrio species in two Patagonian estuaries. Sci. Total Environ. 2017, 579, 646–656. [Google Scholar] [CrossRef]
Figure 1. Climate change on oceans and Vibrio cholerae: Schematic representation of the major drivers for cholera infection or cholera outbreaks.
Figure 1. Climate change on oceans and Vibrio cholerae: Schematic representation of the major drivers for cholera infection or cholera outbreaks.
Atmosphere 11 00449 g001
Table 1. Risk factors for cholera infection and effect of climate change on these risk factors resulting in altering Vibrio cholerae expansion, spread, or disease potential.
Table 1. Risk factors for cholera infection and effect of climate change on these risk factors resulting in altering Vibrio cholerae expansion, spread, or disease potential.
Risk FactorEffect of Climate ChangeVibrio cholerae Disease Potential
Ocean surface temperatureIncreaseBacterial replication
CO2 concentrationIncreaseBacterial replication
Oxygen levelsDecreaseBacterial replication
Ocean acidificationIncreaseBacterial replication
Ocean pollutionIncreaseBacterial replication
SalinityIncrease or decrease depending on decreasing or increasing precipitationBacterial replication
Ocean levelIncreaseFlooding events, disruption of water systems/Increased spread
Rainfall/FloodIncreaseDisruption of water systems/Increased spread
DroughtIncreaseIncreased spread
Table 2. Cholera pandemics.
Table 2. Cholera pandemics.
PeriodStart fromSpread toCholera Strain
1817–1823India (Bengal)China, Indonesia, Europe, East AfricaV. cholerae serotype O1, classical biotype
1829–1851IndiaRussia (Moscow),
America (New York, Manhattan, Philadelphia, New Orleans), Hungary, Germany, London, Egypt
V. cholerae serotype O1, classical biotype
1852–1859IndiaNorth Africa, South America (Brazil)V. cholerae serotype O1, classical biotype
1863–1879India (Ganges Delta)Naples, SpainV. cholerae serotype O1, classical biotype
1881–1896IndiaEurope, Asia, South AmericaV. cholerae serotype O1, classical biotype
1899–1923IndiaEgypt, Arabian peninsula, PersiaV. cholerae serotype O1, classical biotype
1961–ongoingIndonesiaEast Pakistan, the Soviet Union, North AfricaV. cholerae serotype O1, El Tor biotype
Table 3. New or expanding Vibrio cholerae habitats driven by climate variability/change.
Table 3. New or expanding Vibrio cholerae habitats driven by climate variability/change.
New or Expanding Vibrio cholerae HabitatsClimate Change Drivers
North Atlantic and North Sea [6]Sea surface temperature
Baltic Sea (Northern Europe) [7]Low salinity and rising water temperatures

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Christaki, E.; Dimitriou, P.; Pantavou, K.; Nikolopoulos, G.K. The Impact of Climate Change on Cholera: A Review on the Global Status and Future Challenges. Atmosphere 2020, 11, 449. https://doi.org/10.3390/atmos11050449

AMA Style

Christaki E, Dimitriou P, Pantavou K, Nikolopoulos GK. The Impact of Climate Change on Cholera: A Review on the Global Status and Future Challenges. Atmosphere. 2020; 11(5):449. https://doi.org/10.3390/atmos11050449

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Christaki, Eirini, Panagiotis Dimitriou, Katerina Pantavou, and Georgios K. Nikolopoulos. 2020. "The Impact of Climate Change on Cholera: A Review on the Global Status and Future Challenges" Atmosphere 11, no. 5: 449. https://doi.org/10.3390/atmos11050449

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