Literature DB >> 16704773

Web-based surveillance and global Salmonella distribution, 2000-2002.

Eleni Galanis1, Danilo M A Lo Fo Wong, Mary E Patrick, Norma Binsztein, Anna Cieslik, Thongchai Chalermchikit, Awa Aidara-Kane, Andrea Ellis, Frederick J Angulo, Henrik C Wegener.   

Abstract

Salmonellae are a common cause of foodborne disease worldwide. The World Health Organization (WHO) supports international foodborne disease surveillance through WHO Global Salm-Surv and other activities. WHO Global Salm-Surv members annually report the 15 most frequently isolated Salmonella serotypes to a Web-based country databank. We describe the global distribution of reported Salmonella serotypes from human and nonhuman sources from 2000 to 2002. Among human isolates, S. Enteritidis was the most common serotype, accounting for 65% of all isolates. Among nonhuman isolates, although no serotype predominated, Salmonella enterica serovar Typhimurium was reported most frequently. Several serotypes were reported from only 1 region of the world. The WHO Global Salm-Surv country databank is a valuable public health resource; it is a publicly accessible, Web-based tool that can be used by health professionals to explore hypotheses related to the sources and distribution of salmonellae worldwide.

Entities:  

Mesh:

Year:  2006        PMID: 16704773      PMCID: PMC3291443          DOI: 10.3201/eid1205.050854

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


Foodborne diseases are among the most serious health problems affecting public health and development worldwide (). Industrialization, mass food production, decreasing trade barriers, and human migration have disseminated and increased the incidence and severity of foodborne diseases worldwide (–). Salmonellae are among the most common bacterial foodborne pathogens worldwide (). They cause an estimated 1.4 million cases of foodborne disease each year in the United States alone (). Salmonella serotyping is a surveillance tool that detects widespread outbreaks, identifies outbreak sources, monitors trends over time, and attributes human disease to various foods and animals (). Such surveillance is needed to help prevent foodborne disease outbreaks and raise awareness among health authorities, food producers, food regulators, and consumers (). A 1997 survey of national reference laboratories showed that only 69 (66%) of 104 responding countries conducted routine Salmonella serotyping for public health surveillance (). Consequently, the World Health Organization (WHO), the US Centers for Disease Control and Prevention, and the Danish Veterinary Laboratory (now the Danish Institute for Food and Veterinary Research) founded WHO Global Salm-Surv in 2000. Its mission is to promote integrated, laboratory-based surveillance and foster collaboration among human health, veterinary, and food-related disciplines to enhance the capacity to detect, respond, and prevent foodborne diseases (). By November 2005, WHO Global Salm-Surv had >800 members from 142 countries. A key component of this program is the Web-based country databank, to which member countries annually submit their 15 most frequently isolated Salmonella serotypes. This program is the only foodborne disease surveillance network that is global in scope and surveys all aspects of the food chain, from animal feed to humans. Data are updated annually and are publicly accessible for members and the scientific community to review (http://www.who.int/salmsurv). We describe the global distribution of Salmonella serotypes from human and nonhuman sources reported to the WHO Global Salm-Surv country databank from 2000 to 2002 and explore how the databank may become a valuable public health resource for foodborne disease surveillance.

Methods

WHO Global Salm-Surv has conducted annual regional training courses for national reference laboratories since 1999 and has managed an external laboratory quality assurance program since 2000 to facilitate a standard approach to isolating and serotyping salmonellae (). National reference laboratories can become WHO Global Salm-Surv members and share Salmonella serotype data with other members through the country databank. The country databank is a Web-enabled Oracle database that is password protected for data entry and accessible for public viewing at http://www.who.int/salmsurv. Each year, a designated national reference laboratory representative enters into the country databank the number of Salmonella isolates serotyped from human, animal, food, environmental, and feed sources and the 15 most frequently identified serotypes. Descriptive analysis was conducted by using Microsoft Excel (Microsoft Corp., Redmond, WA, USA) on data from all countries that submitted data for 2000, 2001, or 2002 as of June 2004. Analyses for trends over time were conducted on data from 2000 to 2002. More detailed analyses, including ranking of serotypes, comparison of human to nonhuman isolates, and regional comparisons are presented for 2002 data only, the year in which the most countries participated. Before 2001, nonhuman isolates were grouped together. Since 2001, countries have been able to submit food, animal, environmental, and feed data separately. For comparison purposes, all nonhuman data were combined in this analysis. Data were grouped into regions approximately corresponding to 6 geopolitical continents: Africa, Asia, Latin America and the Caribbean, Europe, North America, and Oceania. To accommodate local epidemiologic characteristics, New Caledonia was incorporated into Asia, and Israel was incorporated into Europe. For years in which a single country contributed data for a region, regional data are not presented, but the data are included in the overall results. A region-specific serotype was defined as a serotype that, for each of the years of the study period, was among the 15 most commonly reported serotypes and for which >90% of the isolates were from that region.

Results

Global

Forty-nine countries submitted data to the WHO Global Salm-Surv country databank from 2000 to 2002 (Table 1). Twenty countries reported both human and nonhuman results, 21 reported only human results, and 8 reported only nonhuman results. Reports of 376,856 human and 65,789 nonhuman Salmonella isolations were entered into the database during the 3-year period. North America and Europe accounted for 87.9% (389,134) of all reported isolates. The number of isolates reported to the country databank was stable during the study period; 113,782–137,329 human isolates and 16,506–25,761 nonhuman isolates were reported per year.
Table 1

Number of serotyped Salmonella isolates reported to the World Health Organization Global Salm-Surv country databank, 2000–2002

CountryHuman
Nonhuman
200020012002200020012002
Africa104406965331011,477
Cameroon2632471210
Mali34
Morocco76
Senegal104143220338991
Tunisia3881,376
Asia8,2336,6965,7714,0561,5131,631
China4398127
Indonesia219
Japan2,6312,4521,890
Korea1,260918843
Malaysia4991,390
New Caledonia3020
Philippines606
Thailand3,2333,2792,9222,4041,4151,504
Vietnam41796
Europe91,78873,55685,38510,6288,9513,113
Belgium13,64210,260
Bulgaria7891,0011,482
Cyprus5245
Czech Republic4,7744,03027,381
Denmark2,0632,6321,8445,9815,402
Estonia1783878
Germany3,068
Greece337842
Hungary16,27114,46214,6787481,4481,809
Israel4,4284,0433,859
Latvia139132
Luxembourg381
Norway1,2891,639
Poland38,13826,60128,705234524151
Portugal354539
Serbia and Montenegro5,1725,0034,87346
Slovakia301,35456
Slovenia3,4561,5762,563
Switzerland1,0311,770
Latin America and Caribbean2,0542,2392,491411633727
Argentina633608487124165147
Barbados27712423
Bolivia19982
Chile9299201,284218329395
Colombia1451351943152
Costa Rica491149
Cuba65
El Salvador149
Peru115120497519
Suriname18
Trinidad67
Venezuela232294165626040
North America29,20128,50829,3018,80810,3379,558
Canada4,7884,9924,9623,5884,7434,676
USA24,41323,51624,3395,2205,5944,882
Oceania5,9492,3771,8321,8251,987
Australia4,202
New Zealand1,7472,3771,8321,8251,987
Total countries293131202222
Total isolates serotyped137,329113,782125,74525,76123,52216,506
During the 3-year period, Salmonella enterica serovar Enteritidis was by far the most common serotype reported from human isolates globally. In 2002, it accounted for 65% of all isolates, followed by S. Typhimurium at 12% and S. Newport at 4%. Among nonhuman isolates, S. Typhimurium was the most commonly reported serotype in all 3 years, accounting for 17% of isolates in 2002. It was followed by S. Heidelberg (11%) and S. Enteritidis (9%) (Figure 1).
Figure 1

Number of Salmonella isolates reported by serotype worldwide in 2002. A) Human sources; B) nonhuman sources.

Number of Salmonella isolates reported by serotype worldwide in 2002. A) Human sources; B) nonhuman sources. In 2002, 26 (84%) of the 31 countries that reported human serotype results ranked S. Enteritidis and S. Typhimurium in their 10 most common human serotypes (Table 2). Approximately half of the countries ranked S. Infantis and S. Typhi in their 10 most common serotypes, but only a fourth ranked S. Newport and S. Heidelberg in their top 10. The relative ranking of serotypes by the number of countries reporting them in their 15 most frequent serotypes remained stable over the study period (data not shown). However, the proportion of countries reporting each serotype varied. For example, from 2000 to 2001, more than two thirds of countries reported S. Agona, compared to 39% in 2002.
Table 2

Number and proportion of countries (N = 31) that ranked in the top 10 each of the 20 most common Salmonella serotypes among human isolates, 2002

Global rankSerotypeEurope, n (%)Asia, n (%)Oceania, n (%)Africa, n (%)North America, n (%)Latin America and Caribbean, n (%)Total, n (%)
1Enteritidis8 (100)4 (80)1 (100)4 (80)2 (100)7 (70)26 (84)
2Typhimurium8 (100)5 (100)1 (100)4 (80)2 (100)6 (60)26 (84)
3Newport3 (38)1 (20)01 (20)2 (100)1 (10)8 (26)
4Heidelberg2 (25)2 (40)002 (100)2 (20)8 (26)
5Infantis8 (100)1 (20)1 (100)1 (20)2 (100)1 (10)14 (45)
6Hadar6 (75)3 (60)03 (60)2 (100)014 (45)
7Virchow5 (63)01 (100)2 (40)01 (10)9 (29)
8Javiana00001 (50)2 (20)3 (10)
9Saintpaul3 (38)1 (20)1 (100)02 (100)3 (30)10 (32)
10Montevideo2 (25)2 (40)1 (100)1 (20)2 (100)4 (40)12 (39)
11Agona6 (75)1 (20)002 (100)3 (30)12 (39)
12Oranienburg00002 (100)1 (10)3 (10)
13Thompson3 (38)1 (20)1 (100)02 (100)07 (23)
14Typhi1 (13)2 (40)1 (100)4 (80)1 (50)5 (50)14 (45)
15Muenchen00001 (50)01 (3)
16Paratyphi B
d-tartrate+2 (25)0002 (100)04 (13)
17Braenderup01 (20)01 (20)02 (20)4 (13)
18Blockley2 (25)000002 (6)
19Anatum1 (13)1 (20)0003 (30)5 (16)
20Weltevreden02 (40)0001 (10)3 (10)
In 2002, a total of 5 serotypes were reported among the 15 most common human serotypes from all 6 regions of the world: S. Enteritidis, S. Typhimurium, S. Infantis, S. Montevideo, and S. Typhi. However, the proportion of isolates of each serotype varied greatly. In 2002, for example, S. Enteritidis represented 85% of isolates in Europe but only 9% in Oceania. In Latin America and the Caribbean, S. Typhi accounted for the greatest proportion of salmonellae (13%). In 2000 and 2001, S. Enteritidis, S. Typhimurium, S. Typhi, and S. Agona were reported from all 6 regions (data not shown). S. Enteritidis, S. Typhimurium, and S. Typhi were ranked among the 15 most common human serotypes in all 6 regions throughout the 3-year study period. S. Agona, S. Infantis, S. Montevideo, S. Saintpaul, S. Hadar, S. Mbandaka, S. Newport, S. Thompson, S. Heidelberg, and S. Virchow were also widespread; they were reported from 4 to 6 of the regions from 2000 through 2002. Reporting of S. Montevideo increased from 4 regions in 2000 to all 6 regions in 2002. The reporting of S. Heidelberg increased from 3 to 5 regions in the same timeframe.

Regional

In Africa in 2002, S. Enteritidis and S. Typhimurium were each reported from approximately one fourth of isolates from humans (Figure 2). Among nonhuman sources (Figure 3), S. Anatum and S. Enteritidis constituted the largest proportion of isolates.
Figure 2

Proportion of most common serotypes of reported human Salmonella isolates by region, 2002.

Figure 3

Proportion of most common serotypes of reported nonhuman Salmonella isolates by region, 2002.

Proportion of most common serotypes of reported human Salmonella isolates by region, 2002. Proportion of most common serotypes of reported nonhuman Salmonella isolates by region, 2002. In Asia, from 2000 through 2002, Japan, Korea, and Thailand together reported S. Enteritidis as the most common human serotype. S. Weltevreden was the second most common serotype in 2000 and 2001 but dropped to fourth in 2002, when it was surpassed by S. Rissen and S. Typhimurium. In 2002, S. Enteritidis accounted for 38% of human isolates but only 7% of nonhuman isolates. S. Anatum, S. Rissen, and S. Stanley were the most common nonhuman serotypes in Asia. In Europe in 2002, S. Enteritidis accounted for most salmonellae among human isolates. This trend was constant from 2000 to 2002; S. Enteritidis accounted for 79% to 84% of isolates, followed by S. Typhimurium in second place and S. Hadar, S. Virchow, and S. Infantis alternating in the third to fifth places among the 8 countries that submitted data during the 3 years. Among nonhuman isolates, heterogeneity was greater; S. Infantis, S. Enteritidis, and S. Typhimurium together accounted for 72% of salmonellae in 2002. In 2002 in Latin America and the Caribbean, S. Enteritidis was the most common serotype among human and nonhuman isolates. S. Typhimurium, S. Typhi, S. Montevideo, and S. Paratyphi B were also commonly observed among human isolates and S. Typhimurium, S. Senftenberg, S. Mbandaka, and S. Agona, among nonhuman isolates. During the 3-year period of interest, S. Enteritidis, S. Typhimurium, and S. Typhi were the 3 most commonly isolated serotypes among humans in the 5 countries that reported data every year. In North America in 2002, S. Typhimurium was more common than S. Enteritidis among human isolates. S. Newport and S. Heidelberg also accounted for a sizeable proportion of the isolates. Among nonhuman isolates, a corresponding pattern emerges; S. Typhimurium, S. Heidelberg, and S. Newport were most common. S. Enteritidis was not reported among the 10 most common nonhuman serotypes. The relative ranking of serotypes did not change in the 3-year period; S. Typhimurium was the most common serotype in humans and nonhuman isolates from 2000 to 2002. In Oceania in 2000, the only year in which >1 country reported data, S. Typhimurium accounted for 62% of human Salmonella isolates, followed by S. Virchow and S. Enteritidis. Some serotypes were reported among the 15 most common serotypes in only 1 region during the 3-year period and therefore were classified as region-specific serotypes. Africa was the only region to report S. Brancaster among nonhuman isolates. Asia was the only region to report S. Rissen (human), S. Panama and S. Stanley (nonhuman), and S. Weltevreden (human and nonhuman). Europe was the only region to report S. Blockley, S. Kisangani, S. Kottbus, S. Ohio, and S. Stanleyville from human isolates and S. Indiana and S. Isangi from nonhuman isolates. Latin America and the Caribbean was the only region to report S. Bardo, S. Muenster, and S. Rubislaw among human isolates. North America was the only region to report S. Javiana (human) and S. Muenster (nonhuman).

Discussion

S. Enteritidis is the most common Salmonella serotype in humans globally but especially in Europe, where it accounts for 85% of Salmonella cases, Asia (38%), and Latin America and the Caribbean (31%). The S. Enteritidis pandemic was first noted in the late 1980s and has been attributed to contaminated eggs (). The proportion of Salmonella infections associated with this serotype seems to have increased over time. In 1995, 36% of salmonellae worldwide were S. Enteritidis, compared to 65% in 2002 (). S. Typhimurium has been 1 of the 2 most frequent serotypes in humans since 1990 (). Since S. Enteritidis and S. Typhimurium are so common, additional subtyping methods, including phage typing, antimicrobial susceptibility testing, and pulsed-field gel electrophoresis (PFGE), are needed to identify clusters of infection from the same source. WHO Global Salm-Surv includes antimicrobial susceptibility testing training in all regional courses and has introduced phage typing in the Eastern European region course. The country databank could include data from such subtyping efforts. PFGE subtyping data are exchanged in North American between PulseNet USA and PulseNet Canada (). PulseNet International is an affiliate member of WHO Global Salm-Surv, and the networks are coordinating their efforts to ensure synergy. S. Typhi is a pathogen of concern in the developing world, especially Asia (). However, in our analyses, S. Typhi was the ninth most frequent serotype in Asia in 2002. The Asian countries that contributed to the country databank did not include many of the developing countries in south-central and Southeast Asia, where S. Typhi is still highly prevalent. S. Typhi was the sixth most frequent serotype globally in 1995 and was decreasing in relative importance (). That trend seems to have continued; S. Typhi ranked 14th globally in 2002. S. Typhi has no animal reservoir, which makes it susceptible to improvements in hygiene and sanitation seen in many regions of the world, such as Latin America and the Caribbean. The distribution of nonhuman serotypes is more heterogeneous than that of human serotypes. The same serotypes appear among the top 5 in human and nonhuman sources, although in a different order. S. Enteritidis is only the third most common serotype among nonhuman sources. In 2002, it was not reported at all among the 10 most common nonhuman serotypes from North America. This finding partly reflects the capacity of S. Enteritidis to contaminate eggs in low numbers and the difficulty of isolating it from food or the environment. Moreover, in North America, few samples from eggs are submitted for routine testing. For example, in the United States, routine testing of eggs is not required, whereas routine testing for salmonellae is required of meat and poultry plants. As eggs are frequently used in foods that do not undergo heat treatment (e.g., pastries, homemade ice cream, and mayonnaise) and are widely distributed, this food contamination has a substantial effect on public health. The country databank contains far fewer nonhuman than human serotypes, possibly because more participating laboratories are human national reference laboratories, fewer countries have formal nonhuman surveillance, and some countries may be less likely to share nonhuman data because of trade concerns. In 2001 and 2002, 15 of 22 countries reported nonhuman isolates by source. Food serotypes were reported from most countries (11 in 2001 and 12 in 2002), followed by animal serotypes (7 countries in 2001 and 10 in 2002). Most isolates serotyped were from animals (66%), followed by food (29%), feed (3%), and the environment (2%). The reporting of S. Weltevreden from the environment, feed, animals, food, and humans in Southeast Asia is an example of how the country databank can be used to track Salmonella serotypes along the food chain. Many serotypes are restricted to a single region of the world. This finding may reflect an ecologic niche or a local food source that is not exported. A number of such examples have been reported in the past, such as S. Marina associated with marine iguanas from South America found in the United States and S. Tilene in imported African pygmy hedgehogs in the United States and Canada (–). The country databank is uniquely placed to allow countries to observe this phenomenon. Investigators have reported infections of S. Javiana associated with exposure to wild amphibians in a confined area in the southeastern United States (). According to the country databank, S. Javiana is only reported among the 15 most common serotypes in the United States. In 2001, the WHO Global Salm-Surv country databank helped confirm that S. Weltevreden was largely restricted to Southeast Asia. A survey of Southeast Asian laboratories showed that items most frequently associated with this serotype include seafood, water, and Asian vegetables (). In the same region, S. Rissen has increased in both human and nonhuman sources (). The country databank allows countries to become aware that a common serotype in their country may be rare elsewhere in the world, leading to hypothesis generation in outbreaks and studies to understand the sources of disease. Countries that report a large number of isolates to the country databank, such as North American and European countries, typically do not report rare serotypes because these would not rank in their top 15, thus limiting the ability to track rare serotypes in these countries. Countries with fewer resources may lack complete antisera kits necessary to identify certain serotypes, which would lead to underreporting. For example, although we assume that S. Enteritidis human infections occur globally, a number of countries in Asia, Africa, and Latin America and the Caribbean did not report this serotype in their top 10 (Table 2). Lack of resources can also cause misclassification of serotypes. For example, S. Paratyphi B was reported to be among the most common serotypes in Latin America and the Caribbean. However, some countries in the region lack the capacity to differentiate between S. Paratyphi B and S. Paratyphi B tartrate var. Java. In general, industrialized countries are more likely to regularly contribute to the country databank and to report more isolates. The results are therefore biased towards the industrialized world. However, the country databank lacks data from many Western European countries. Twenty-four European countries report human Salmonella serotype results annually to Enter-net, a European-based surveillance network for gastrointestinal infections, as compared to only 14 reporting to WHO Global Salm-Surv from 2000 to 2002. A review of recent Enter-net data confirms that S. Enteritidis is by far the most commonly isolated serotype in Europe but at a lower proportion than that reported to WHO Global Salm-Surv; 68%–71% of Enter-net Salmonella isolates were S. Enteritidis from 2000 to 2002 (Ian Fisher, pers. comm.) (). A recent agreement between WHO Global Salm-Surv and Enter-net will lead to routine electronic sharing of data between the 2 systems to improve efficiency and representativeness (Henrik Wegener, pers. comm.). Serotypes reported by a region are not necessarily circulating locally and may have been imported through travel or traded foods. Intraregional comparisons are limited by the fact that case definitions and surveillance systems vary between countries. The country databank does not collect the source of isolation. Some countries may report salmonellae isolated from both blood and stool and others from stool only. The low number of isolates and countries reporting nonhuman data and the pooling of food, animal, environmental, and feed sources hamper further analysis of nonhuman data. Some regional results may not be representative, since some regions have few countries reporting data to the country databank (e.g., Africa). Some countries may not submit data to the country databank because of concern regarding international trading of food. Others do not have the supplies or training necessary to conduct serotyping. WHO Global Salm-Surv training courses were launched in Southeast Asia in 1999 and expanded to South America and the Middle East in 2000; China, Central America, and the Caribbean in 2001; and West Africa and Eastern Europe in 2002 (http://www.who.int/salmsurv). All participating countries were initially provided with antisera to conduct serotyping. WHO Global Salm-Surv established an external quality assurance system (EQAS) in 2000 to assess the accuracy of serotyping and antimicrobial susceptibility testing among member national reference laboratories. From 2000 to 2002, the number of laboratories participating in EQAS increased from 44 to 117, and the capacity to correctly serotype 8 Salmonella isolates improved from 76% to 90% of participating laboratories (). The increased reporting of certain serotypes during the study period may be due to capacity improvement and increased participation in the country databank as well as real changes in the epidemiologic features of salmonellae. For example, S. Montevideo was first reported in Africa in 2001. In 2002, Tunisia participated in the country databank for the first time and reported S. Montevideo in its top 15 (increased participation). Oceania started reporting S. Montevideo in its top 15 in 2002 for the first time since participating in the country databank (change in epidemiologic features). Data are not entered into the country databank in a timely enough way to detect international outbreaks. However, regularly monitoring the data can allow emerging trends in regional and international Salmonella epidemiology and region-specific serotypes to be detected. This information in turn leads to hypothesis generation, studies, and international collaboration to improve control of salmonellae in the long term. Examples of such work include the surveillance of Salmonella serotypes and antimicrobial drug resistance in South America, China, and the Democratic Republic of Congo; the assessment of risk factors for and drug resistance of S. Weltevreden in Southeast Asia; and the molecular characterization of S. Corvallis isolates from Bulgaria, Thailand, and Denmark (18,22–26, F. Aarestrup, pers. comm.). The WHO Global Salm-Surv Country Databank is a valuable resource for international Salmonella surveillance. Past attempts to characterize Salmonella serotype distribution globally have either not been widely accessible or relied on irregular surveys of laboratories (,). Trends in global Salmonella epidemiology can now be updated and followed across regions and over time. In an era when most national institutions have access to the Internet, using a Web-based data collection tool is both feasible and practical. The data are immediately and publicly accessible for viewing and analysis (http://www.who.int/salmsurv). The results have several limitations in terms of representativeness and comparability but can be used to follow trends, generate hypotheses, and assess the effect of major interventions. This surveillance is a step toward improving the understanding and control of salmonellae worldwide.
  19 in total

1.  WHO global salm-surv external quality assurance system (EQAS): an important step toward improving the quality of Salmonella serotyping and antimicrobial susceptibility testing worldwide.

Authors:  Anne Petersen; Frank M Aarestrup; Frederick J Angulo; Stephanie Wong; Klaus Stöhr; Henrik C Wegener
Journal:  Microb Drug Resist       Date:  2002       Impact factor: 3.431

2.  The global burden of typhoid fever.

Authors:  John A Crump; Stephen P Luby; Eric D Mintz
Journal:  Bull World Health Organ       Date:  2004-05       Impact factor: 9.408

3.  Iguanas and Salmonella marina infection in children: a reflection of the increasing incidence of reptile-associated salmonellosis in the United States.

Authors:  J Mermin; B Hoar; F J Angulo
Journal:  Pediatrics       Date:  1997-03       Impact factor: 7.124

4.  African pygmy hedgehog-associated salmonellosis--Washington, 1994.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1995-06-23       Impact factor: 17.586

5.  The role of food safety in health and development. Report of a Joint FAO/WHO Expert Committee on Food Safety.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  1984

Review 6.  Global estimation of foodborne diseases.

Authors:  Y Motarjemi; F K Käferstein
Journal:  World Health Stat Q       Date:  1997

Review 7.  Epidemiology of foodborne diseases: a worldwide review.

Authors:  E C Todd
Journal:  World Health Stat Q       Date:  1997

8.  Salmonella enterica serotype Javiana infections associated with amphibian contact, Mississippi, 2001.

Authors:  P Srikantiah; J C Lay; S Hand; J A Crump; J Campbell; M S Van Duyne; R Bishop; R Middendor; M Currier; P S Mead; K Mølbak
Journal:  Epidemiol Infect       Date:  2004-04       Impact factor: 2.451

Review 9.  Foodborne disease control: a transnational challenge.

Authors:  F K Käferstein; Y Motarjemi; D W Bettcher
Journal:  Emerg Infect Dis       Date:  1997 Oct-Dec       Impact factor: 6.883

10.  Salmonella serovars from humans and other sources in Thailand, 1993-2002.

Authors:  Aroon Bangtrakulnonth; Srirat Pornreongwong; Chaiwat Pulsrikarn; Pathom Sawanpanyalert; Rene S Hendriksen; Danilo M A Lo Fo Wong; Frank M Aarestrup
Journal:  Emerg Infect Dis       Date:  2004-01       Impact factor: 6.883

View more
  117 in total

1.  Geographical and temporal dissemination of salmonellae isolated from domestic animal hosts in the Culiacan Valley, Mexico.

Authors:  Maribel Jiménez; Jaime Martínez-Urtaza; Cristobal Chaidez
Journal:  Microb Ecol       Date:  2011-01-28       Impact factor: 4.552

2.  Production of human rotavirus and Salmonella antigens in plants and elicitation of fljB-specific humoral responses in mice.

Authors:  Louis-Philippe Bergeron-Sandoval; Aurélie Girard; François Ouellet; Denis Archambault; Fathey Sarhan
Journal:  Mol Biotechnol       Date:  2011-02       Impact factor: 2.695

3.  Re-assessment of risk factors for sporadic Salmonella serotype Enteritidis infections: a case-control study in five FoodNet Sites, 2002-2003.

Authors:  R Marcus; J K Varma; C Medus; E J Boothe; B J Anderson; T Crume; K E Fullerton; M R Moore; P L White; E Lyszkowicz; A C Voetsch; F J Angulo
Journal:  Epidemiol Infect       Date:  2006-06-07       Impact factor: 2.451

4.  Molecular characterization and antimicrobial susceptibility of Salmonella isolates from infections in humans in Henan Province, China.

Authors:  Shengli Xia; Rene S Hendriksen; Zhiqiang Xie; Lili Huang; Jin Zhang; Wanshen Guo; Bianli Xu; Lu Ran; Frank M Aarestrup
Journal:  J Clin Microbiol       Date:  2008-12-10       Impact factor: 5.948

5.  Worldwide Epidemiology of Salmonella Serovars in Animal-Based Foods: a Meta-analysis.

Authors:  Rafaela G Ferrari; Adelino Cunha-Neto; Denes K A Rosario; Sérgio B Mano; Eduardo E S Figueiredo; Carlos A Conte-Junior
Journal:  Appl Environ Microbiol       Date:  2019-07-01       Impact factor: 4.792

Review 6.  Persistent Infection and Long-Term Carriage of Typhoidal and Nontyphoidal Salmonellae.

Authors:  Ohad Gal-Mor
Journal:  Clin Microbiol Rev       Date:  2018-11-28       Impact factor: 26.132

7.  Occurrence and characterization of Salmonella enterica subspecies enterica serovar 9,12:l,v:- strains from Bulgaria, Denmark, and the United States.

Authors:  P Petrov; R S Hendriksen; T Kantardjiev; G Asseva; G Sørensen; P Fields; M Mikoleit; J Whichard; J R McQuiston; M Torpdahl; F M Aarestrup; F J Angulo
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2008-11-08       Impact factor: 3.267

8.  Salmonella phages isolated from dairy farms in Thailand show wider host range than a comparable set of phages isolated from U.S. dairy farms.

Authors:  Sarach Wongsuntornpoj; Andrea I Moreno Switt; Peter Bergholz; Martin Wiedmann; Soraya Chaturongakul
Journal:  Vet Microbiol       Date:  2014-05-29       Impact factor: 3.293

9.  International spread of multidrug-resistant Salmonella Schwarzengrund in food products.

Authors:  Frank M Aarestrup; Rene S Hendriksen; Jana Lockett; Katie Gay; Kathryn Teates; Patrick F McDermott; David G White; Henrik Hasman; Gitte Sørensen; Aroon Bangtrakulnonth; Srirat Pornreongwong; Chaiwat Pulsrikarn; Frederick J Angulo; Peter Gerner-Smidt
Journal:  Emerg Infect Dis       Date:  2007-05       Impact factor: 6.883

10.  Genomic and phenotypic variation in epidemic-spanning Salmonella enterica serovar Enteritidis isolates.

Authors:  Laura Betancor; Lucia Yim; Maria Fookes; Araci Martinez; Nicholas R Thomson; Alasdair Ivens; Sarah Peters; Clare Bryant; Gabriela Algorta; Samuel Kariuki; Felipe Schelotto; Duncan Maskell; Gordon Dougan; Jose A Chabalgoity
Journal:  BMC Microbiol       Date:  2009-11-18       Impact factor: 3.605

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.