Literature DB >> 11812400

An epidemic of inhalation anthrax, the first in the twentieth century: I. Clinical features. 1960.

Stanley A Plotkin, Philip S Brachman, Milton Utell, Forest H Bumford, Mary M Atchison.   

Abstract

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Year:  2002        PMID: 11812400      PMCID: PMC7172370          DOI: 10.1016/s0002-9343(01)01050-6

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


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Acute respiratory infections are the most common illnesses experienced by people of all ages worldwide. Data collected by the Health Interview Survey have demonstrated the overall scope of these illnesses.1 The Health Interview Survey defines acute conditions as those not lasting more than 3 months but requiring a physician consultation or restriction of daily activity. Only illnesses with onsets in the 2 weeks before the survey were reported. Table 1 shows the 1995 survey data on all acute conditions, categorized by age of the patient and, more specifically, by conditions involving the respiratory tract. Of all acute illnesses, respiratory conditions are the most common, generally occurring twice as frequently as the next 2most common condition.1
Table 1

All Acute and Acute Respiratory Conditions Reported in the Health Interview Survey ∗

Age Group (yr)
All Ages<55–1718–2425–44≥45
All acute conditions174364236158157113
All respiratory conditions85.2159.5122.879.780.550.5
Common cold23.153.733.021.818.614.6
Influenza41.253.659.443.145.222.7
Other20.952.230.414.816.713.2

Adapted from Vital Health Stat.1

Annual incidence per 100 persons.

Illness or injury lasting less than 3 months that caused a person to limit daily activity or contact a physician.

Bronchitis, pneumonia, and other acute upper and lower respiratory conditions.

All Acute and Acute Respiratory Conditions Reported in the Health Interview Survey ∗ Adapted from Vital Health Stat.1 Annual incidence per 100 persons. Illness or injury lasting less than 3 months that caused a person to limit daily activity or contact a physician. Bronchitis, pneumonia, and other acute upper and lower respiratory conditions. Within the category of respiratory conditions, influenza was reported more frequently than the common cold, despite the fact that colds occur more commonly. Illnesses were identified based simply by name, and not based on clinical characteristics. Furthermore, the specific questions varied over time. This is likely because of the fact that reporting in this survey was limited to more severe conditions (those involving a physician consultation or restricted activity), which are more apt to be recalled by the respondent. Therefore, in the Health Interview Survey the incidence of influenza is probably overestimated and that of the common cold underestimated. Although this survey may not represent the true incidence of these infections, the data do report all respiratory illnesses in the context of conditions requiring physician consultation. They support the finding that respiratory infections cause significant morbidity and are a major reason for physician visits and restricted activity.

A historic overview: family and community studies

Early epidemiologic studies

Compared with the Health Interview Survey, a more accurate estimation of the frequency of viral respiratory infections (VRIs) in the US population is derived from long-term family and community studies. The data were gathered by means of regular contact with the households or individuals participating, in order to maximize illnesses reported and minimize recall bias. These studies began about 80 years ago and successfully documented the frequency of common respiratory illnesses, which are now recognized to be almost exclusively viral in cause.2 In studies reported during the 1920s and 1930s, observations were made that are supported by the findings of current epidemiologic studies. Very early studies showed that children are at particular risk of developing VRIs, that the frequency of respiratory illnesses is higher among females, and that illnesses with coryza peak in autumn.3, 4, 5 At the time these observations were reported, the causative pathogens had not been identified.2

The cleveland family study

In the late 1940s and 1950s there was an increased interest in respiratory illnesses, with research again concentrating on the influence of familial or household factors on incidence.2 These studies were important because of the emerging ability to identify viruses as the causative agents. The Cleveland family study was a seminal investigation conducted from 1948 to 1957.6 Its methods and observations provided a standard against which subsequent investigations were measured.2 This study serves as a bridge between the early studies that were carried out without any supporting virology and later studies in which laboratory data were an integral part of the investigation. When the study began in 1948, only influenza and “typical” bacteria could be identified. By 1953 adenovirus could also be identified.2 By the late 1950s and early 1960s it became possible to identify most viruses now known to be involved in respiratory illness, although the techniques have improved since, especially recently with the development of the polymerase chain reaction methodology.2 Furthermore, the longitudinal nature of the Cleveland family study allowed accumulation of sufficient numbers of observations to enable researchers to draw conclusions about subgroups and to take into account the year-to-year variation in the frequency and intensity of outbreaks.2 The Cleveland study followed nearly 100 families in association with the Case Western Reserve Medical Center; it identified common respiratory illnesses and their cause to the extent possible at the time.6 Families were contacted weekly by visiting nurses. The occurrence of VRIs was determined by home visits in which illness symptoms were recorded and by obtaining blood specimens for serological testing in an attempt to identify the organism involved. The cohabitating family unit was the focus of the study.6 The important contribution of the research was the reliable and accurate data obtained on the frequency of respiratory illnesses in the family setting and the importance of the family setting in transmission. The data obtained were probably the most accurate in terms of the annual frequency of respiratory infections.6 Table 2 shows the number of respiratory illnesses reported, categorized by age.6 The highest numbers of illnesses were in young children (up to 4 years of age); illnesses decreased with increasing age. The importance of young children has undoubtedly increased in recent years with the dramatic increase in day care, but the exact effect is hard to quantify because of the lack of comprehensive studies from which incidence can be determined. Although this study was relatively small, there was a concentrated effort to report information carefully so that the numbers were the most accurate as determined in a US population.
Table 2

Annual Frequency of Respiratory Illness by Age: Cleveland Family Study, 1948–1957 ∗

Age (yr)Common Respiratory Disease
<16.72
1–47.95
5–96.21
10–145.02
15–194.71
20–244.09
25–294.82
30–344.45
35–393.83
40–443.68
45–493.97

Adapted from Am J Hyg6 and Epidemiol Rev.2

Unweighted means of individual ages.

Annual Frequency of Respiratory Illness by Age: Cleveland Family Study, 1948–1957 ∗ Adapted from Am J Hyg6 and Epidemiol Rev.2 Unweighted means of individual ages. The investigators found that there was an increased risk of developing an illness if another family member was sick.6 In the family setting, it was found that the most likely introducers of infection were children in various age categories, particularly children in preschool; mothers were the next most common introducers. Fathers were the least likely introducers of illness into the family.

The Tecumseh, Michigan, studies

More recent investigations have continued to focus on the family, with the added ability to identify the causal agents. In the Tecumseh, Michigan, study, approximately 1,000 individuals living in a community were followed in 2 phases.7, 8 The studies of acute infection began in 1965 and continued through 1971, phase 1. The second part began again in 1976 and concluded in 1981. Data were collected using weekly questionnaires to identify illness onset, specimen collection for agent isolation from participants with illness, and regular blood collection for serologic identification of infection.2 Simple reporting of an illness without specific required symptoms was insufficient for an episode to be recognized as an acute respiratory illness. The mean annual incidence of total respiratory infections (mostly viral) is shown in Table 3. Because of the number of subjects followed, it was also possible to examine the difference in incidence between males and females (Figure 1).7
Table 3

Mean Annual Incidence of Total Respiratory Illness per Person-Year (Tecumseh, Michigan, 1966–1971∗)

Age Group (yr)Mean Annual Illness Incidence
Person-Years (n = 4,905)MalesFemalesBoth Sexes
<11216.36.06.1
1–23026.05.45.7
3–42844.45.14.7
5–98443.43.73.5
10–147202.43.12.7
15–193182.12.82.4
20–242342.23.32.8
25–293972.43.12.7
30–398971.92.72.3
40–495021.41.91.7
50–591251.31.81.6
≥601610.91.41.3

Adapted from JAMA.7

Figure 1

Mean annual incidence of total respiratory illness per person-year, Tecumseh, Michigan, 1966–1971. (Adapted from JAMA.7)

Mean Annual Incidence of Total Respiratory Illness per Person-Year (Tecumseh, Michigan, 1966–1971∗) Adapted from JAMA.7 Mean annual incidence of total respiratory illness per person-year, Tecumseh, Michigan, 1966–1971. (Adapted from JAMA.7) Illnesses were more frequent in young boys than in girls up to 3 years of age, at which point the incidence became more frequent in females. At age 5 to 9 years, the frequency of respiratory illnesses in general began to decrease. The increase in frequency at age 20 to 29 years might be explained by exposure of family members to young children with respiratory infections. The increase occurred to a greater extent in females. Further analysis of data from the study8 showed that women who did not work outside the home had higher rates of respiratory illness than women who worked out of the home. Among women working out of the home, however, the frequency of illness was still greater than that experienced by males. These data seemed to confirm that exposure to the children in the family increased the likelihood of respiratory illnesses. Additional analysis of infection occurrences shows an inverse relationship between income and frequency of respiratory illness (Table 4).7 This is probably a reflection of greater household crowding. This relationship has been directly demonstrated for rhinovirus infection by studies reporting the relationship between the number of individuals sharing a bedroom and seroconversion rates for the 3 most common rhinovirus serotypes (Table 5).9 Illness frequency increased with crowding of sleeping conditions.
Table 4

Relation of Family Income to Annual Incidence of Respiratory Illness

Income Range(US $)No. in GroupMean Annual No. of Respiratory Illnesses per Person
UnadjustedAge-Adjusted
<5,0001853.83.8
5,000–6,9996033.43.1
7,000–9,9991,5043.23.0
10,000–14,9999692.82.9
>15,0003712.73.0

Adapted from JAMA.7

Income data from 1974.

Table 5

Relation of Number Sharing Bedroom to Individual Conversion Rates for the 3 Most Common Rhinoviruses

No. in BedroomNo. of Conversions per Antibody-Deficient Individuals
(n)%Individuals Studied (n)
112/4030.024
252/12641.3120
353/9058.958
437/8444.048
545/7659.237
613/2748.117
713/1968.410
844/6468.833
No information5/862.57

Adapted from Am J Epidemiol.9

χ21 = 18.1

P <0.0001.

Relation of Family Income to Annual Incidence of Respiratory Illness Adapted from JAMA.7 Income data from 1974. Relation of Number Sharing Bedroom to Individual Conversion Rates for the 3 Most Common Rhinoviruses Adapted from Am J Epidemiol.9 χ21 = 18.1 P <0.0001. Illness incidence also varied by day of infection onset (Figure 2).9 Data were collected on the day of illness onset so the researchers could calculate secondary attack rates and determine family transmission. In the school-age children, illnesses were less frequent in the middle of the week. Assuming an incubation period of 2 to 4 days, school transmission could explain this kind of pattern, which is most pronounced in individuals 5 to 19 years old.
Figure 2

Proportion of respiratory illnesses that began on each day of the week. (Adapted from Am J Epidemiol.9)

Proportion of respiratory illnesses that began on each day of the week. (Adapted from Am J Epidemiol.9)

Cause of viral respiratory infections

Community-based studies have made it possible to determine the cause of common VRIs. Further specific causes have been determined by specially designed studies. In the Tecumseh study, the viruses causing all respiratory infections were reported. The distribution of pathogens was determined by self-reported illness, whether it was a specific syndrome (ie, influenza) or an illness with only 1 symptom. In the Tecumseh study, rhinoviruses were by far the most frequent viral isolate identified in the overall population (Figure 3).10
Figure 3

Percentage distribution of isolates of virus in the surveillance population in Tecumseh, Michigan, 1966–1981. (Adapted from J Infect Dis.13)

Percentage distribution of isolates of virus in the surveillance population in Tecumseh, Michigan, 1966–1981. (Adapted from J Infect Dis.13) In the first phase of the study, an infectious agent was detected in only approximately 25% of the specimens collected.2 Not all specimens collected yielded virus isolates, partly because advanced diagnostic techniques, such as polymerase chain reaction (PCR), were not available at the time the study was conducted. Table 6 shows the annual isolation rates of various respiratory viruses by age (actual rates per 1,000 person-years) during the second phase of the study, from 1976 to 1981. Rates per 100 person-years were adjusted by the proportion of illnesses actually sampled.8 The adjustments approximate isolation rates as if all infections had been sampled. Both rates were based on actual isolation of virus. Nonculturable viruses, or those lost during shipping from the site to the laboratory, were not included. Again, in this second phase, rhinoviruses were the most frequently isolated agents in all age groups.
Table 6

Annual Isolation Rates of Respiratory Viruses, Tecumseh, Michigan, 1976–1981: Actual Rates per 1,000 Person-Years, and Rates per 100 Person-Years Adjusted by Proportion of Illnesses Sampled (in parentheses)

Age Group (yr)
Agent0–4 (539)5–19 (1,541)20–39 (1,523)40+ (1,757)
Rhinoviruses113.2 (59.6)25.3 (13.2)38.7 (21.5)9.7 (8.8)
Influenza A (H3N2)16.7 (8.8)10.4 (5.5)5.9 (3.3)6.8 (6.2)
Influenza A (H1N1)7.4 (3.9)26.6 (14.0)2.0 (1.1)0.0 (0)
Influenza type B3.7 (1.9)20.8 (10.9)7.2 (4.0)3.4 (3.1)
Parainfluenza viruses53.8 (28.3)14.3 (7.5)3.9 (2.2)2.3 (2.1)
Respiratory syncytial viruses55.7 (29.3)7.1 (3.7)6.6 (3.7)2.3 (2.1)
Adenoviruses33.4 (16.6)6.4 (3.4)4.6 (2.6)1.1 (1.0)
Other9.2 (4.8)5.2 (2.7)2.0 (1.1)1.1 (1.0)
Total293.1 (154.3)116.1 (61.1)70.9 (39.4)26.7 (24.3)

Reprinted with permission from Epidemiol Infect.8

Number of person-years of observation.

Actual isolation rates per 1,000 (adjusted isolation rates per 100).

Annual Isolation Rates of Respiratory Viruses, Tecumseh, Michigan, 1976–1981: Actual Rates per 1,000 Person-Years, and Rates per 100 Person-Years Adjusted by Proportion of Illnesses Sampled (in parentheses) Reprinted with permission from Epidemiol Infect.8 Number of person-years of observation. Actual isolation rates per 1,000 (adjusted isolation rates per 100). Table 7 shows the relative role or impact of various respiratory viruses in producing acute respiratory infections.8 In this table, estimates were made of the degree to which virus-isolation techniques underestimated the actual role of each agent in infection, and an appropriate adjustment was made. (As mentioned, PCR techniques did not exist at the time this study was conducted.) Rhinovirus rates were adjusted based on a study of the common cold in which previous organ culture technique identified viruses that did not replicate in ordinary cell culture. Based on these studies, rhinoviruses were still the most common isolate. Of note is the large percentage of illnesses for which the cause could not be determined. Also, although rhinoviruses caused a less severe illness syndrome than some of the other pathogens, especially influenza, owing to its high frequency rhinovirus infection resulted in more physician consultations in the United States than any other single agent.
Table 7

Estimated Percentage of All Respiratory Illnesses Caused by Specific Etiologic Agents: Percentage of Such Illnesses with Physician Consultation and Annual Numbers of Each in the Population (N = 10,000) of Tecumseh, Michigan

Etiologic AgentPercentage of All IllnessesIllnesses per 10,000 Population (n)Illnesses with Consultation (%)Illnesses with Consultation per 10,000 Population (n)
Rhinoviruses348,32517.61,465
Coronaviruses143,42817.6603
Influenza92,20437.9835
Bacterial81,95948.6952
Parainfluenza viruses497926.2257
Respiratory syncytial viruses497955.6544
Adenoviruses249043.2212
Other viruses249027.8136
Unknown and/or noninfectious235,63021.51,211
Total10024,48425.46,215

Adapted from Epidemiol Infect.8

Estimated Percentage of All Respiratory Illnesses Caused by Specific Etiologic Agents: Percentage of Such Illnesses with Physician Consultation and Annual Numbers of Each in the Population (N = 10,000) of Tecumseh, Michigan Adapted from Epidemiol Infect.8

Seasonality of respiratory infection identified in epidemiologic studies

Virus isolation is valuable in determining seasonality of the pathogens causing respiratory infection.2 Seasonality is one of the characteristics of respiratory viruses that has been identified in epidemiologic studies, but the reasons for this seasonality are unclear. Although clinical signs and symptoms of various VRIs can overlap, it is possible to determine the probability of illnesses being caused by a specific virus based on the syndrome produced and on the differing seasonalities of those viruses. As shown in Figure 4, respiratory syncytial virus and influenza virus occur mainly in the winter to early spring.11 Although they occur in most months, parainfluenza viruses predominate in the late autumn into the winter. Rhinoviruses cause VRIs in all months of the year, with peaks of illness in the fall (the major peak) and in the spring, as shown in Figure 5.12 The rhinovirus outbreaks in the fall are a result of children returning to school. These seasonality data were confirmed in studies that used interferon-alpha for seasonal prophylaxis against rhinovirus infection in a university student population.13 The small peak in the spring has a variable pattern because of the size of the United States and differing seasonal weather patterns nationwide.2
Figure 4

Acute respiratory illness in the community, seasonality of respiratory agents: proportion isolated in each calendar month during study years. (Adapted from Am J Epidemiol.11)

Figure 5

Combined data for the 3-year period, March 1963 to March 1966, depicting the seasonal variation in the percentage of sampled respiratory illnesses yielding rhinoviruses and, in the rate of rhinovirus illness, derived by application of this percentage to the total rate of respiratory illness. (Adapted from N Engl J Med.12)

Acute respiratory illness in the community, seasonality of respiratory agents: proportion isolated in each calendar month during study years. (Adapted from Am J Epidemiol.11) Combined data for the 3-year period, March 1963 to March 1966, depicting the seasonal variation in the percentage of sampled respiratory illnesses yielding rhinoviruses and, in the rate of rhinovirus illness, derived by application of this percentage to the total rate of respiratory illness. (Adapted from N Engl J Med.12) Worldwide, the seasonality of rhinoviruses and other respiratory agents varies geographically, according to temperate versus cold and/or rainy climates.14 Whereas it is difficult to determine, based on current data, how climate affects the known occurrence of rhinovirus in temperate areas, such data are available for influenza, which is most prevalent in the rainy season in those areas with little temperature fluctuation. Nonetheless, it has been shown that rhinoviruses are the most common cause of viral respiratory disease globally. This is particularly true in the developing world, where crowding results in higher transmission and illness frequency early in life.

Transmission of rhinovirus infection

The pathogens that cause viral respiratory disease vary in their ability to initiate and transmit infection. The mode of transmission of rhinovirus has been widely debated over the years.2 Experimental studies of natural transmission of rhinovirus to determine routes and probability of transmission are rarely feasible and often cannot approximate natural transmission. Therefore, conclusions are typically drawn from epidemiologic observations. For example, influenza can transmit easily by airborne spread, that is, by aerosol as well as by large droplet.15 Colds were believed to be transmitted by large droplet only. However, it was shown experimentally that rhinovirus infection could be produced by inoculating contaminated secretions from infected individuals into the noses or eyes of volunteers.15 The question remained as to whether rhinovirus is transmitted primarily by direct contact, that is, by droplet nuclei or by indirect contact. The transmission issue is still controversial. Gwaltney and Hendley16 showed that rhinoviruses could survive on surfaces and that rhinoviruses could be transmitted by finger-to-nose inoculation. This group from the University of Virginia at Charlottesville considered that contact with infected secretions is the principal mode of transmission. They found that volunteers in contact with contaminated objects or with the fingers of individuals with rhinovirus colds had a high rate of infection if they inoculated their own noses or eyes. Furthermore, the investigators discovered that transmission could be interrupted by treating surfaces of contaminated objects with disinfectant or by applying iodine to the fingers. They found little evidence of transmission by means of droplets.17 In contrast, Dick et al,18 from the University of Wisconsin, showed that this mechanism is not required for rhinovirus transmission, and they found evidence that rhinovirus could be spread by droplet transmission. Those studies were carried out with volunteers, one of whom was inoculated with virus. Others were known to be susceptible to the virus and were exposed to the infected individuals under different circumstances. In the final experiment, the volunteers played cards with each other. One was experimentally infected, and all wore collars preventing their putting hands in their noses or eyes. Transmission still took place. In summary, whereas some experts agree that indirect contact with contaminated secretions appears to be the most efficient means of transmission,19 others find that large-droplet transmission of such secretions is more important.15 Both routes undoubtedly operate under natural conditions. It is probably futile to hope that hand disinfection alone will result in interruption of transmission. There are thus sufficient data to suggest that close exposure to a person with infection, especially in the family setting, is required and is a major risk factor for acquiring rhinovirus infection. This finding is further supported by data indicating that crowding in the home facilitates transmission.7

The epidemiologic significance of rhinovirus serotypes

The large number of rhinovirus serotypes (over 100) has been a challenge, both in terms of laboratory procedures and reagents required for identification and in the development of a vaccine or antiviral medication to combat rhinovirus. The finding of a multiplicity of serotypes allowed demonstration of the fact that the seasonal outbreaks were actually a summation of mini-outbreaks, in which a large number of serotypes spread in a similar fashion. It also allowed demonstration that even in the same family, more than 1 serotype can be circulating, which indicates multiple introductions.9, 10, 20 The number of serotypes became critical, because vaccine prevention initially appeared to be the ideal way to prevent rhinovirus infections. However, there were 2 related questions to address in vaccine development. The first question was whether the number of serotypes was fixed or whether, like influenza, new serotypes were continuing to evolve. It gradually emerged that the number of serotypes is fixed.10, 21 The second question related to whether there was a difference in the relative activity of various rhinovirus serotypes and whether certain rhinoviruses transmit more easily than others. This was initially based on recognition of certain types as more “common” causes of respiratory infections while others are rarely seen.2, 9, 20 These common serotypes would be a priority for vaccine development. The hypothesis of common serotypes causing respiratory infections was confirmed by several studies.10, 22, 23 It was finally determined, however, that although common serotypes existed, those that were common changed over time.2, 10 Because of this fact and similar findings, the development of specific antiviral agents appeared to offer more promise than vaccine development for control of VRIs resulting from rhinovirus.

Recent developments help to confirm the epidemiology of rhinovirus

Isolation rates of viruses have varied from early studies to the more recent studies as diagnostic testing has become more sophisticated. The development of PCR has allowed identification of rhinoviruses and confirmation of the proportion of respiratory infections caused by the rhinoviruses. PCR has been shown to be more sensitive and often more rapid than culture isolation of respiratory viruses.24 Another reason for the differences in picornavirus isolation rates between epidemiologic studies is at least in part related to the case definitions used and timing of the studies (eg, length of study and season in which it is conducted). Self-diagnosed illnesses in which only 1 respiratory symptom was required (as in the Tecumseh studies) yield fewer isolates than sampling illnesses in which more symptoms are required. For example, in Finland, a study in 200 young adults with self-diagnosed colds and clinical evidence of symptoms (rhinorrhea, nasal congestion, and sore throat confirmed by the physician) was conducted over a 10-month period.25 In total, a viral cause was found in 69% of cases. The rhinovirus isolation rate was 40%. An additional 12% of rhinovirus-positive samples were detected by PCR, with a total rhinovirus identification rate of 52%. A Virginia study of young adults with self-diagnosed colds confirmed that PCR increases the rate of picornavirus detection.26 This study was conducted over a 2-month period during the autumn peak of illness. The isolation rate of rhinoviruses (and a few other picornaviruses) using culture was 67%. With the addition of PCR, the total picornavirus identification rate increased to 82%.

Conclusions

Early epidemiologic studies documenting that children are at particular risk for VRIs have stood the test of time, as have other findings, such as a higher frequency of illnesses in females and autumn and spring peaks of illness. Rhinoviruses are by far the most frequent viral isolate identified in persons with colds. They cause VRIs in all months of the year, but major peaks occur in the fall and in the spring; the fall peak follows the opening of schools. The mechanism of transmission of rhinovirus remains unclear, and the significance of indirect transmission is still under debate. PCR techniques have been able to identify more completely rhinoviruses in studies of persons with suspected VRIs. However, they have not been used in population-based studies, so the actual role of these agents in important syndromes can only be inferred. A particular need for future work is to determine the seasonality of rhinoviruses in areas without a clear winter season and the role of symptoms in predicting which infections are likely caused by rhinovirus. Such determinations will be of value in identifying which patients with respiratory illnesses should be treated when antirhinovirus drugs are available.
  22 in total

1.  A study of illness in a group of Cleveland families. II. Incidence of the common respiratory diseases.

Authors:  G F BADGER; J H DINGLE; A E FELLER; R G HODGES; W S JORDAN; C H RAMMELKAMP
Journal:  Am J Hyg       Date:  1953-07

2.  Rhinovirus infections in Tecumseh, Michigan: frequency of illness and number of serotypes.

Authors:  A S Monto; E R Bryan; S Ohmit
Journal:  J Infect Dis       Date:  1987-07       Impact factor: 5.226

3.  Aerosol transmission of rhinovirus colds.

Authors:  E C Dick; L C Jennings; K A Mink; C D Wartgow; S L Inhorn
Journal:  J Infect Dis       Date:  1987-09       Impact factor: 5.226

4.  Acute respiratory illness in an American community. The Tecumseh study.

Authors:  A S Monto; B M Ullman
Journal:  JAMA       Date:  1974-01-14       Impact factor: 56.272

5.  The Tecumseh study of respiratory illness. II. Patterns of occurrence of infection with respiratory pathogens, 1965-1969.

Authors:  A S Monto; J J Cavallaro
Journal:  Am J Epidemiol       Date:  1971-09       Impact factor: 4.897

6.  A community study of respiratory infections in the tropics. 3. Introduction and transmission of infections within families.

Authors:  A S Monto
Journal:  Am J Epidemiol       Date:  1968-07       Impact factor: 4.897

Review 7.  Mechanisms of transmission of rhinovirus infections.

Authors:  J O Hendley; J M Gwaltney
Journal:  Epidemiol Rev       Date:  1988       Impact factor: 6.222

8.  Frequency and natural history of rhinovirus infections in adults during autumn.

Authors:  E Arruda; A Pitkäranta; T J Witek; C A Doyle; F G Hayden
Journal:  J Clin Microbiol       Date:  1997-11       Impact factor: 5.948

Review 9.  Studies of the community and family: acute respiratory illness and infection.

Authors:  A S Monto
Journal:  Epidemiol Rev       Date:  1994       Impact factor: 6.222

10.  Intranasal interferon-alpha 2b for seasonal prophylaxis of respiratory infection.

Authors:  A S Monto; T C Shope; S A Schwartz; J K Albrecht
Journal:  J Infect Dis       Date:  1986-07       Impact factor: 5.226

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  11 in total

1.  Anthrax lethal toxin induces endothelial barrier dysfunction.

Authors:  Jason M Warfel; Amber D Steele; Felice D'Agnillo
Journal:  Am J Pathol       Date:  2005-06       Impact factor: 4.307

2.  Combining anthrax vaccine and therapy: a dominant-negative inhibitor of anthrax toxin is also a potent and safe immunogen for vaccines.

Authors:  Benedikt A Aulinger; Michael H Roehrl; John J Mekalanos; R John Collier; Julia Y Wang
Journal:  Infect Immun       Date:  2005-06       Impact factor: 3.441

Review 3.  Anthrax: A disease of biowarfare and public health importance.

Authors:  Ajay Kumar Goel
Journal:  World J Clin Cases       Date:  2015-01-16       Impact factor: 1.337

4.  Bacillus anthracis lethal toxin induces TNF-alpha-independent hypoxia-mediated toxicity in mice.

Authors:  Mahtab Moayeri; Diana Haines; Howard A Young; Stephen H Leppla
Journal:  J Clin Invest       Date:  2003-09       Impact factor: 14.808

5.  Anthrax lethal toxin-mediated disruption of endothelial VE-cadherin is attenuated by inhibition of the Rho-associated kinase pathway.

Authors:  Jason M Warfel; Felice D'Agnillo
Journal:  Toxins (Basel)       Date:  2011-10-20       Impact factor: 4.546

6.  Anthrax vaccine design: strategies to achieve comprehensive protection against spore, bacillus, and toxin.

Authors:  Julia Y Wang; Michael H Roehrl
Journal:  Med Immunol       Date:  2005-03-24

7.  Inhalational anthrax outbreak among postal workers, Washington, D.C., 2001.

Authors:  Puneet K Dewan; Alicia M Fry; Kayla Laserson; Bruce C Tierney; Conrad P Quinn; James A Hayslett; Laura N Broyles; Andi Shane; Kevin L Winthrop; Ivan Walks; Larry Siegel; Thomas Hales; Vera A Semenova; Sandra Romero-Steiner; Cheryl Elie; Rima Khabbaz; Ali S Khan; Rana A Hajjeh; Anne Schuchat
Journal:  Emerg Infect Dis       Date:  2002-10       Impact factor: 6.883

8.  Anthrax infection inhibits the AKT signaling involved in the E-cadherin-mediated adhesion of lung epithelial cells.

Authors:  Taissia Popova; Virginia Espina; Charles Bailey; Lance Liotta; Emanuel Petricoin; Serguei Popov
Journal:  FEMS Immunol Med Microbiol       Date:  2009-04-08

9.  Pre-Columbian origins for North American anthrax.

Authors:  Leo J Kenefic; Talima Pearson; Richard T Okinaka; James M Schupp; David M Wagner; Alex R Hoffmaster; Carla B Trim; Carla P Trim; Wai-Kwan Chung; Jodi A Beaudry; Lingxia Jiang; Pawel Gajer; Jeffrey T Foster; James I Mead; Jacques Ravel; Paul Keim
Journal:  PLoS One       Date:  2009-03-13       Impact factor: 3.240

10.  Investigation of bioterrorism-related anthrax, United States, 2001: epidemiologic findings.

Authors:  Daniel B Jernigan; Pratima L Raghunathan; Beth P Bell; Ross Brechner; Eddy A Bresnitz; Jay C Butler; Marty Cetron; Mitch Cohen; Timothy Doyle; Marc Fischer; Carolyn Greene; Kevin S Griffith; Jeannette Guarner; James L Hadler; James A Hayslett; Richard Meyer; Lyle R Petersen; Michael Phillips; Robert Pinner; Tanja Popovic; Conrad P Quinn; Jennita Reefhuis; Dori Reissman; Nancy Rosenstein; Anne Schuchat; Wun-Ju Shieh; Larry Siegal; David L Swerdlow; Fred C Tenover; Marc Traeger; John W Ward; Isaac Weisfuse; Steven Wiersma; Kevin Yeskey; Sherif Zaki; David A Ashford; Bradley A Perkins; Steve Ostroff; James Hughes; David Fleming; Jeffrey P Koplan; Julie L Gerberding
Journal:  Emerg Infect Dis       Date:  2002-10       Impact factor: 6.883

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