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When the H1N1 influenza virus struck in 1918, little was known about how infectious diseases emerge or their routes of transmission. Indeed, even the identification of the causative agent as a virus (that is, capable of passing through a filter) rather than the bacterium Haemophilus influenzae (championed by some leading microbiologists at the time) was in dispute until late in the course of the pandemic1. The 1918 virus had an estimated case fatality rate of 10–20%, spread to six continents, infected ∼500 million people and killed approximately 3% of the world's population2,3. The severe acute respiratory syndrome (SARS) coronavirus pandemic of 2002–2003, the first pandemic of the twenty-first century, had a case fatality rate of near 10%, but infected far fewer people (8,096) than the H1N1 influenza virus of the 1918 pandemic4. Transmissibility, as estimated by R0 (the basic reproduction number; that is, the number of cases generated through contact with one infected individual) was similar for the influenza pandemic of 1918 (R0 = 2–3)5 and the SARS pandemic of 2003 (R0 = 2–5)6,7. However, the global response to SARS was facilitated by advances in epidemiology and microbiology that enabled the rapid containment and identification of the causative agent as a novel coronavirus. The discovery process is faster still today. Whereas two large teams invested weeks using classical dideoxy sequencing techniques to characterize SARS coronavirus genetic material that had been amplified in tissue culture8,9, the high-throughput sequencing platforms that have been used in more recent outbreaks, such as the Lujo virus outbreak in South Africa in 2008, have allowed the identification of novel agents in clinical materials in only 48–72 hours10.

As a consequence of the globalization of travel and trade, infectious agents are expanding their geographical ranges and appearing in new contexts. Thus, clinicians and public health officials must be prepared to detect and respond to the unexpected. The ongoing development of new antimicrobial drugs, therapeutic antibodies, vaccines and probiotics means that early and accurate disease diagnosis can have profound implications for medical management and public health. This is particularly true for viral infections, for which, until recently, opportunities for effective intervention were limited to HIV, hepatitis C virus and herpesvirus infections. Surveillance and discovery efforts are bearing fruit in chronic disorders and in studies of normal physiology, as well as in the investigation of acute diseases such as pneumonia, diarrhoea, meningitis, encephalitis and haemorrhagic fevers. The role of Helicobacter pylori in causing peptic ulcers11, the role of human papillomavirus in cervical cancer12 and the role of polyomaviruses in Merkel cell carcinoma13 are prominent examples of the microbial contributions to the pathogenesis of disorders that were idiopathic only a few years ago. Insights into the role of the human microbiome in nutrition, allergies and autoimmunity have led to the implementation of the same surveillance and discovery platforms that are used to investigate classic infectious diseases14,15. Finally, although there have been no recent examples of bioterrorism, the risk has only increased with political instability and with the accessibility of synthetic genomics techniques that enable the creation or re-creation of virulent pathogens.

In this Essay, I discuss the factors that contribute to the emergence (and re-emergence) of infectious diseases, the evolution of strategies and tools for pathogen surveillance and discovery, and future prospects for the field. To guide the reader, I provide a timeline of the events and innovations described in the text (Timeline).

Factors in microbial emergence

Globalization of travel and trade. Travel and trade are increasingly global. For instance, the number of international airline flights has nearly doubled over the past 15 years from just fewer than 500,000 in 1996 to close to 850,000 in 2011 (see US Bureau of Transportation Statistics flight information; commercial flights by US domestic airlines). John F. Kennedy International Airport, for example, one of two international airports in the greater New York metropolitan area, USA, hosts non-stop flights to 100 international destinations and serves nearly 12 million international customers annually (see US airlines and foreign airlines US passengers continue to increase from 2009). Similar data apply worldwide for airports serving large urban centres. This means that an infected individual or mosquito can travel around the world in less than 24 hours, so it is not surprising that air travel has been implicated in the global dissemination of HIV, SARS coronavirus, West Nile virus, chikungunya virus, influenza viruses and Mycobacterium tuberculosis16,17,18.

Indeed, it is perhaps more remarkable that so few outbreaks of infectious disease have been attributed to air travel, especially given that the transportation of plants and animals has continued to increase dramatically with the development of global agribusinesses and urbanization. Whereas the global population and food production have increased at comparable rates since 1975 (74% and 100%), the international food trade has burgeoned by more than 200% (see World Population Prospects, the 2010 Revision; Table 'Total Population, Both Sexes' and FAOSTAT trade data). One hundred years ago, most fresh food was produced and consumed within a radius of a few kilometres, whereas it is now not unusual for individuals to consume plants and animals that were harvested thousands of kilometres away19.

Agricultural practices. Contamination of meat has affected the international trade of livestock on a number of occasions20, with examples including contamination by agents that can threaten humans, such as prions, influenza viruses and Rift Valley fever virus, or agents that threaten the livestock themselves, such as foot-and-mouth disease virus and Schmallenberg virus21. Furthermore, bacteria, viruses and parasites, particularly those present in faeces, can contaminate fruits and vegetables to cause disease in humans and other animals, resulting in costly food recalls and affecting consumer demand22,23. High-density farming of livestock, poultry and fish is frequently associated with the use of antibiotics as growth promoters, and this can result in the emergence of antibiotic-resistant bacteria24,25.

The centralization of food production and processing — particularly for ground meats, raw fruits and raw vegetables — has resulted in outbreaks of infectious diseases that have been distributed over large geographical areas. Furthermore, it is difficult to monitor the illegal trafficking of wildlife to the US, which is estimated to exceed US$10 billion and $15 billion per annum in pet and food sales, respectively (see US Department of State Wildlife Trafficking). Nonetheless, there is evidence that these activities are associated with the introduction of microorganisms into new environs, and that this might pose a threat to public health. An analysis of bat, rodent and non-human primate bushmeat that was confiscated in major ports has revealed evidence of foamy viruses, herpesviruses and pathogenic bacteria in these samples26. Imported pets have been linked to outbreaks of human infection with poxviruses and Salmonella, as well other pathogens27,28.

Although plant pathogens do not infect humans or other animals, the infection of food crops can have dire economic consequences. Recently, with a greater appreciation of the importance of pollinators in food production and with the recognition of colony collapse disorder, increased attention has been directed towards the potential for emerging infections of honeybees (Apis mellifera) and other pollinators, particularly with regard to viruses, fungi and external parasites29. Mariculture (ocean aquaculture) is also at risk of emerging infectious diseases, as demonstrated by recent reports of novel viruses in farmed salmon30,31,32. In addition, attention has become increasingly focused on the role of land use dynamics in infectious-disease emergence33. Deforestation and the expansion of both agriculture and the extractive industries, particularly in tropical regions with high wildlife biodiversity, have led directly or indirectly to the emergence of HIV/AIDS, Nipah virus and filoviruses34,35.

Climate change and mass migration. Global warming is already extending the geographical range of mosquitoes and ticks that harbour and transmit Plasmodium spp. and arboviruses, resulting in outbreaks of malaria, dengue fever and yellow fever in new locations36. Recent examples in the United States include the appearance of dengue fever in Florida from 2009 to 2010 (Refs 37, 38) and a surge in cases of West Nile encephalitis in Texas in 2012 (Ref. 39). Mass migration (owing to war, natural disaster, poverty and desertification) can lead to increases in the population density not only of humans, but also of disease vectors, such as rodents and ectoparasites, which carry pathogenic viruses and bacteria. These factors, along with poor sanitation, malnutrition, a lack of access to vaccines, and exposure to contaminated food and water create a perfect storm for the emergence and transmission of infectious diseases40,41.

Laboratory analyses

Culture — once the mainstay for the detection of organisms in the laboratory — is still emphasized in some public health organizations and remains vital to clinical microbiology, chiefly as a tool for testing the utility of drugs. However, genetic methods have moved to the forefront in microbial surveillance and diagnostics42,43,44,45,46. The foundation for most of these methods is PCR, which was developed in 1983 by Kary Mullis (Timeline). PCR requires minimal equipment and operator training, can be completed in minutes rather than days, is less expensive than culture and has been adapted to portable instruments that can be used in the field in developing countries or near a patient's bedside. Furthermore, like other genetic methods, PCR might succeed in detecting an organism that has fastidious requirements which confound cultivation. Most PCR assays that are approved for clinical applications test for the presence of a single type of bacterium or virus. Such assays, described as singleplex, are used to screen for any evidence of infection (for example, to find hepatitis B virus in blood products to be used for transfusion) or to quantify microorganism levels when assessing a response to therapy (for example, to determine the HIV burden in the serum or plasma of subjects receiving antiretroviral medication).

Timeline | Microbial surveillance and disease. Major events in microbial discovery, as listed in this Essay.

Multiplex assays. Multiplex PCR, which was initially implemented for screening human genetic polymorphisms, has now been extended to the field of microbiology, wherein assays have been developed that allow simultaneous screening for the presence of up to 30 different microorganisms42. Such assays are particularly important for differential diagnosis in medicine, in cases for which many distinct infectious agents can be implicated (for example, diseases like pneumonia, diarrhoea, meningitis or encephalitis). Thus, although multiplex PCR is rarely used other than in research and public health laboratories, there is reason to believe that this technique will ultimately gain wider acceptance.

An even broader platform is the DNA microarray, in which millions of genetic probes are bound to glass or silicon wafers and tested for their capacity to bind complementary sequences in clinical and environmental samples. Binding is typically detected through the measurement of fluorescent molecules attached to the nucleic acid amplified from sample extracts. Such microarrays have the potential to survey the entire known microbial world; however, their implementation in this capacity has been hampered by their low sensitivity and the cumbersome processing required. Recently developed prototypes indicate that it might be possible to circumvent these obstacles through the use of portable devices that use nanofluidics and electronic nanocircuitry47,48.

Genomics and metagenomics. The most dramatic advance in microbial surveillance has been achieved in DNA sequencing. The emergence of high-throughput sequencing over the past decade has enabled the discovery of new microorganisms, the rapid resolution of the causes of infectious-disease outbreaks and the development of metagenomics, a field in which investigators inventory the complex microbial communities found in humans, domesticated animals, wildlife, plants and various environments. Although high-throughput sequencing was initially confined to specialized laboratories owing to the high costs of instruments and supplies, along with the requirements for specially trained personnel, recent technical improvements have increased access to this technology to a broader segment of the research community. One index for the evolution of sequencing technology is the per-base cost, which decreased from $5,000 per megabase in 2001 (using classical dideoxy methods), to $15 per megabase in 2008 (using pyrosequencing; see DNA Sequencing Costs: Data from the NHGRI Genome Sequencing Program (GSP)), to $0.50 per megabase in 2012 (using the Illumina platform49). Another index is the time required to obtain sequence data. Whereas the SARS coronavirus genome was sequenced over the course of 1 week by a large team in 2003 (Ref. 8), a single investigator could sequence that same genome in a few hours in 2012. Recent examples of the power of advancements in genomic-sequencing methods include reports on the evolution of influenza viruses50, hepatitis C virus51 and HIV52, on the human origin of livestock-associated methicillin-resistant Staphylococcus aureus53 and on the spread of antibiotic-resistant Klebsiella pneumoniae in and between health care institutions54.

Metagenomic analyses42,55,56 have revealed dynamic microorganism–host relationships that influence normal physiological processes — for example, digestion57,58 and the immune response59, which might be factors in the pathogenesis of autoimmune diseases59 and cancer56 — and that probably also contribute to global climate regulation through effects on marine plankton60. The challenge now is not in obtaining sequence data but in analysing it. Millions of sequence reads must be assembled into continuous strings of genetic information and identified as originating from a particular microorganism or host by using algorithms that search for similarity between the sequences obtained from metagenomics and those already catalogued in existing databases. Few investigators currently have the in-house processing power and expertise required for these types of analyses; however, access to large computer clusters can be achieved through cloud computing and high-throughput sequencing software that is rapidly becoming more user friendly.

Microbial surveillance and forecasting

Passive and active surveillance. Surveillance is broadly divided into two categories: passive and active. Whereas passive surveillance uses data that already exist or are collected routinely, active surveillance involves a new investment in and/or new processes for microorganism collection and analysis. A classic example of passive surveillance is the concept of reportable diseases. Most regional and national public health authorities maintain lists of infectious diseases for which laboratory tests indicative of infection must be reported (see CDC National Notifiable Diseases Surveillance System). These diseases include those characterized by human-to-human transmission, such as sexually transmissible diseases (for example, syphilis or gonorrhoea) and vaccine-preventable diseases (for example, measles), as well as those for which detection indicates the presence, in the environment, of an infectious agent that poses a substantial threat to public health, such as haemorrhagic fever viruses or highly pathogenic bacteria (for example, Yersinia pestis, the causative agent of bubonic plague). On the non-human side, agricultural authorities monitor infections such as foot-and-mouth disease, which have important economic implications. Passive surveillance is informative and inexpensive, but might underestimate the true frequency of an agent or a disease. Furthermore, by definition, it cannot detect the risk of infection with a particular pathogen before the onset of symptoms.

Surveillance using social media. Today, Internet-based infectious-disease surveillance is well established, largely owing to the influence of Joshua Lederberg61, a pioneer in microbial genetics and the use of computers for communication as well as data analysis. ProMED-mail (Program for Monitoring Emerging Infectious Diseases), created in 1994, provides continuous free e-mail updates about new or evolving outbreaks and epidemics62. Submissions from a grass-roots network of readers are curated by a panel of experts, who post submissions with commentary in five languages to a listserv comprising more than 60,000 subscribers in 185 different countries. GPHIN (Global Public Health Intelligence Network)63 scans news services in nine languages across the globe for information concerning outbreaks. Unlike ProMED-mail, GPHIN is a fee-based, private subscription and does not systematically validate its posts, although the WHO began providing verification services when GPHIN was added to the Global Outbreak Alert Response Network (GOARN) in 2001.

HealthMap64 is a hybrid of the passive and active surveillance strategies that are used by ProMED-mail and GPHIN, respectively. HealthMap integrates reports from news media, ProMED-mail and official documents into a user-friendly map that displays real-time updates of disease emergence. HealthMap also allows public submission of georeferenced observations, or 'crowd sourcing' of apparent disease occurrences, via its website or a number of smart phone-based apps, such as Outbreaks Near Me. Google Flu Trends is similar, but aggregates search data to estimate global influenza virus activity.

InSTEDD (Innovative Support to Emergencies, Diseases and Disasters), which was proposed during Larry Brilliant's talk at the 2006 TED Conference, is developing open-source tools to improve global information collection and exchange. What is anticipated, although not yet achieved, is the development of systems that aggregate data about the use of medical services, data about prescription and over-the-counter drug purchases, and other chatter that could promote situational awareness and focus epidemiological investigations. Zoonoses (that is, infections that originate in wildlife or domestic animals) account for more than 70% of emerging infectious diseases65; thus, to be proactive, a substantive surveillance system66 for humans must also include surveillance of animals.

Modelling infectious-disease emergence. Quantitative analyses of emerging and re-emerging infectious diseases have enabled the identification of both geographical hot spots of infectious-disease emergence and the underlying drivers (primarily human activities) that facilitate the process33,67,68,69,70. The recent development of high-quality, global-scale data sets for human demographics, agricultural production, land-use change, travel patterns, trade patterns, climate and wildlife distribution has greatly improved the resolution and specificity of predictive modelling40. This has resulted in substantial advances in risk analyses from the original hotspot maps40 (Fig. 1). These risk algorithms are being used to focus passive and active surveillance programmes on the sites, populations, professions and domestic or wild animals for which there is an increased probability of known or novel high-threat pathogen emergence.

Figure 1: Hot spots of outbreaks for recently emerging and re-emerging infectious diseases.
figure 1

Zoonotic infections are highlighted in red text. Data from Ref. 103 and P. Daszak (EcoHealth Alliance; personal communication). E. coli, Escherichia coli; S. aureus, Staphylococcus aureus; vCJD, variant Creutzfeldt–Jakob disease.

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An example is the Emerging Pandemic Threats programme of the US Agency for International Development, which uses hotspot models to prioritize regions and countries for investments in surveillance, laboratory diagnostics, outbreak responses, and collaboration in 20 African, South American and Asian countries. The algorithms used to build hotspot models are continuously tested and modified in light of experimental data derived from human, domestic-animal and wildlife sample analysis.

Causation and mechanisms of pathogenesis

Finding footprints of a microorganism is only the first step in establishing a causative role for that microorganism in a disease. In some instances, the connection is immediately apparent because precedent supports plausibility — for example, finding a new type of Ebola virus in an individual with a haemorrhagic fever, or a new strain of Vibrio cholerae in a diarrhoea outbreak. However, in other instances, the link is more tenuous. Host factors can have a profound impact on susceptibility to infection and the consequences thereof. Agents that are normally innocuous can have high morbidity and mortality rates in individuals with immunological deficits, whether those deficits are due to genetic mutations, age, malnutrition, a co-occurring infection (for example, HIV/AIDS), or complications of cancer treatment or transplantation.

Mechanisms of disease can vary (Box 1). Microorganisms might cause damage at the site of infection, as a direct result of replication or an indirect effect of host innate or adaptive immune responses to microbial gene products. Microorganisms can also induce neoplasia through interference with cell cycle controls. Although not yet confirmed in human disease, work in animal models indicates that viruses can reduce the production of hormones or neurotransmitters that are vital to normal host physiology, and that they can do so without causing any apparent cell or organ damage71. Linkage of a disease to infection with a specific pathogen is facilitated in each of the forementioned examples because the microorganism, its nucleic acid or its protein is found at the site of pathology. More difficult to recognize are instances in which the expression of microbial toxins has remote effects, or infection induces immune responses to the microorganism that break tolerance to self. Clostridium spp., for example, can infect the skin or gastrointestinal tract and produce toxins that act on the nervous system to cause spasms (Clostridium tetani)72 or flaccid paralysis (Clostridium botulinum)73. Streptococcal infection of the skin or the oropharynx can result in autoimmunity, culminating in cardiac damage (known as rheumatic heart disease) and brain dysfunction (known as Sydenham chorea)74.

The best established criteria for proof of causation were formulated by Loeffler and Koch in the 1880s. Popularly known as Koch's postulates75, these criteria require that an agent be present in every case of the disease, be specific for the disease and be sufficient to reproduce the disease after culture and inoculation into a naive host. Rivers76 modified these postulates by acknowledging that the presence of neutralizing antibodies to an agent is evidence of infection. Fredericks and Relman77 noted that pathogens can often be recognized by molecular methods before they can be cultured, and therefore allowed as evidence the presence of microbial sequences as well as of infectious microorganisms. Thus, although Koch's postulates remain the gold standard, they need not be fulfilled to implicate an agent in a disease. Indeed, a focus on Koch's postulates might impede the successful discovery of, and response to, emerging pathogens and the development of models for infectious disease.

Through the discovery and characterization of nearly 500 viruses, my colleagues and I have developed a three-level scoring system for establishing the level of confidence in a particular association, from possible to definitive (Box 2). Poor design or execution of pathogen discovery projects can lead to spurious links being made between infectious agents and diseases, and this can result in the use of inappropriate and potentially dangerous treatments or the rejection of health-promoting interventions such as vaccines42. The effort required to break these links can be greater than that invested in building them, particularly for disorders with a grim prognosis and/or limited treatment options. From our experience with amyotrophic lateral sclerosis (linked to enteroviruses), mental illness (linked to bornaviruses), autism (linked to the measles, mumps and rubella (MMR) vaccine) and myalgic encephalomyelitis–chronic fatigue syndrome (linked to both xenotropic murine leukaemia virus-related virus and polytropic murine leukaemia virus), we have developed a strategy to try and acquit microorganisms by addressing social as well as scientific considerations (Box 3).

Progress in microbial detection: field cases

Over the past three decades, innovations in genetic and information technologies have enhanced and expedited the rate of detection and solution of infectious-disease outbreaks. The following examples illustrate the progress that has been made in methods for acquiring public health intelligence.

In 1976, the CDC was alerted that 11 war veterans had died from pneumonia after returning from the US Bicentennial Convention of the American Legion in Philadelphia, Pennsylvania78. A case definition was established78,79, and Pennsylvania health officials were notified of a potential state-wide epidemic. Public health personnel searched hospitals, news reports and obituaries, and a telephone hotline was established to accept tips from the general public. Ultimately, 221 cases of Legionnaire's disease, as it was called, were identified. All affected individuals had visited the lobby of the hotel hosting the convention or had walked along the adjacent street. Initial efforts to culture an infectious agent failed78,80. Histological staining of lungs from individuals with Legionnaire's disease revealed inflammation but no microorganisms.

The breakthrough came when Joseph McDade, a rickettsia expert at the CDC, recognized liver disease in some victims and in guinea pigs inoculated with extracts from patients. He inoculated embryonated chicken eggs with liver extracts from guinea pigs and then reproduced the disease by inoculating additional guinea pigs with the extracts from the embryonic chicken eggs. The pathogen enrichment through passage in these model systems resulted in the discovery of a novel fastidious Gram-negative bacterium, Legionella pneumophila.

The 4 months that elapsed between the onset of the outbreak in Philadelphia and the identification of the causative agent would not be required today. Whereas almost 2 weeks passed before the CDC was notified in 1976, alerts are now distributed in near real time through services like ProMED-mail and HealthMap. In addition, access to an electronic registry of the convention guests would have obviated the need for a state-wide, grass-roots search for cases. Modern culture-independent methods of pathogen discovery would also enhance response time.

Recent improvements in surveillance and microbial forensic science were illustrated by the 2011 European outbreak of the Shiga toxin-producing bacterium Escherichia coli O104:H4 (Ref. 81, 82). In May 2011, the German national public health agency — the Robert Koch Institute — sent representatives to investigate a cluster of haemolytic–uraemic syndrome cases associated with bloody diarrhoea in Hamburg. By the time the outbreak resolved, more than 3,000 people had been infected in Europe, and 40 had died. Economic losses were substantial, particularly in Spain, as an early inaccurate link to Spanish cucumbers led to an almost Europe-wide import ban on produce from Spain83,84.

The initial clues to the identity of the causal agent were obtained using PCR85,86. Genomic characterization was rapidly achieved using high-throughput sequencers87. Within 3 days of receipt of a clinical sample, sequence data were released into the public domain for global, crowd-sourced bioinformatic analysis88. Genome assembly was completed in the next 24 hours, which enabled the development of specific diagnostic tests and provided insights into the pathogenesis and phylogenetic origin of the bacterium. The integration of laboratory findings with patient surveys ultimately led to implication of bean sprouts from a single farm in Lower Saxony81.

Another comparison involves the discovery of Borna disease virus (BDV)89 and the related but distinct avian bornavirus (ABV). Borna disease is named after a town in Saxony where a characteristic fatal meningoencephalitis was described in horses, and the disease has been known in the veterinary literature since the 1700s90,91,92. The transmissibility of the disease was first demonstrated in the 1920s; however, it took nearly 60 years to establish methods for BDV culture and another 10 years to classify the virus as a novel non-segmented, negative-strand RNA virus93. The capacity to culture the virus led to the development of serological assays, and in 1983, these assays provided evidence of a connection to human neuropsychiatric diseases94.

Intrigued by the potential importance of BDV in human disease and challenged by the failure of efforts to characterize the virus by electron microscopy or to isolate BDV nucleic acids, I initiated a subtractive-cloning project that culminated in the determination of the first BDV sequences in 1990 (Ref. 95). It took an additional 4 years to determine the genomic organization of the virus96,97. With specific cloned reagents in hand, I reasoned that it would be straightforward to determine whether BDV was indeed a human pathogen; however, the issue lingered until 2012, when blinded multicentre analyses, both molecular and serological, ultimately revealed no evidence of human infection98.

By contrast, ABV, the causative agent of proventricular dilatation disease (a wasting syndrome in parrots), was identified in only a few days99,100. The breakthrough was enabled by access to genome databases and the availability of culture-independent methods for pathogen discovery, including viral microarrays and high-throughput sequencing. Subsequently, ABV PCR assays and serology have allowed the investigation and containment of outbreaks in aviaries101.

Future prospects

Although we will continue to see instances in which classical approaches to microorganism hunting, like culture and the pursuit of Koch's postulates, will succeed, pathogen discovery has evolved from a 'whodunit' exercise carried out by solitary investigators to a team effort involving microbiologists, cellular and systems biologists, geographers, mathematicians and other specialists. Models of diseases have expanded from simple one-to-one relationships between organ damage and the presence of a single agent therein to consider more complex mechanisms that might enable the recognition of links between microorganisms and mental illness, obesity, vascular disease, cancer and autoimmunity.

The increase in international travel and trade has led to the globalization of infectious diseases. It has also fostered a new appreciation of the relationship between land use, particularly in the developing world, and the appearance of zoonoses. This globalization of risk across national and species boundaries has promoted the development of international health regulations102 that emphasize technology transfer and data sharing, as well as programmes that proactively survey not only humans, but also the entire animal kingdom for insights into potential threats to public health and economic welfare.

The integration of human and animal medicine, the advent of tools for the rapid and efficient molecular characterization of microorganisms and hosts, and the emphasis on the use of social media to promote early detection of risk together have great potential for the development of a truly global immune system.