Authors:
Zaira Moure Clinical Microbiology Laboratory, Clinical Analysis Department, Hospital de Sierrallana, Cantabria, Spain
Clinical Microbiology Department, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Santander, Spain

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Elena Cuadros Clinical Microbiology Laboratory, Clinical Analysis Department, Hospital de Sierrallana, Cantabria, Spain

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Daniel Pablo-Marcos Clinical Microbiology Laboratory, Clinical Analysis Department, Hospital de Sierrallana, Cantabria, Spain
Clinical Microbiology Department, Hospital Universitario Marqués de Valdecilla, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Santander, Spain

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María José Reina Clinical Microbiology Laboratory, Clinical Analysis Department, Hospital de Sierrallana, Cantabria, Spain

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Inés de Benito Clinical Microbiology Laboratory, Clinical Analysis Department, Hospital de Sierrallana, Cantabria, Spain

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Ana Belén Campo Clinical Microbiology Laboratory, Clinical Analysis Department, Hospital de Sierrallana, Cantabria, Spain

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Abstract

The high demand for COVID-19 diagnosis overwhelmed reference hospitals. Regional laboratories had to incorporate molecular technology to respond to the emergency. This work described the implementation of molecular diagnostic tools and the detection of SARS-CoV-2, in a regional hospital with no previous experience, from October 2020 to March 2022. The laboratory structure was significantly modified. The staff grew from 3 to 4 clinical microbiologists, and from 7 to 17 laboratory technicians to provide 24/7 coverage. A total of 144,442 samples were processed during the period of study. The highest peaks were reached in July 2021 with 25,285 samples processed, and between December 2021 and January 2022, with 32,245. COVID-19 pandemic has represented not only the challenge, but the opportunity to introduce Nucleic Acid Amplification Techniques (NAAT) in inexperienced laboratories. These secondary settings have shown an extraordinary ability to adapt and cannot be left behind in the progress of diagnostic techniques.

Abstract

The high demand for COVID-19 diagnosis overwhelmed reference hospitals. Regional laboratories had to incorporate molecular technology to respond to the emergency. This work described the implementation of molecular diagnostic tools and the detection of SARS-CoV-2, in a regional hospital with no previous experience, from October 2020 to March 2022. The laboratory structure was significantly modified. The staff grew from 3 to 4 clinical microbiologists, and from 7 to 17 laboratory technicians to provide 24/7 coverage. A total of 144,442 samples were processed during the period of study. The highest peaks were reached in July 2021 with 25,285 samples processed, and between December 2021 and January 2022, with 32,245. COVID-19 pandemic has represented not only the challenge, but the opportunity to introduce Nucleic Acid Amplification Techniques (NAAT) in inexperienced laboratories. These secondary settings have shown an extraordinary ability to adapt and cannot be left behind in the progress of diagnostic techniques.

Introduction

Rapid and accurate diagnosis was critical to face COVID-19 emergency leading to an unprecedented adaptation of clinical microbiology services to the spread of the pandemic [1].

Since Nucleic Acid Amplification Techniques (NAAT), based on real-time RT-PCR (RT-qPCR), are the main tools for the detection of SARS-CoV-2, the diagnosis was initially centralized at reference hospitals, with well-equipped microbiology departments and qualified staff [2, 3]. Within a few weeks, new technology was introduced, additional diagnostic circuits were created and trained staff were incorporated, reinforcing work shifts [1, 4].

Despite the great adaptation of these reference laboratories, the development of the outbreak overwhelmed health-care systems worldwide and exceeded their diagnostic capacity [5]. To support the growing testing demand, regional and small laboratories had to incorporate molecular technology by changing their settings and infrastructure, implementing new procedures, and training personnel.

This work describes the implementation of a molecular diagnosis area and the activity load of SARS-CoV-2 RNA detection, in a regional hospital with no previous experience in molecular techniques.

Materials and methods

This is a retrospective study performed at Hospital de Sierrallana y Tres Mares (HSLL) (Cantabria, Spain), a 265-bed regional hospital attending a population of 161,000 inhabitants, from October 2020 to March 2022. The Microbiology department is part of the Clinical Analysis Service and operated from 8 am to 3 pm from Monday to Friday.

To analyse the implementation of a molecular diagnosis area, we describe: structural changes in the microbiology laboratory, the number of human resources recruited, their training and the working shifts established.

Nasopharyngeal swab samples were investigated for SARS-CoV-2 detection when required. The laboratory activity was divided into two different periods: from October 2020 to February 2021, processing mainly samples of hospital origin (inpatients and hospital workers) and from February 2021 to March 2022, assuming the diagnosis and surveillance of primary-care outpatients in our health-area.

For COVID-19 diagnosis workload analysis data were obtained from the laboratory records and reported as number of samples processed per day.

SARS-CoV-2 testing

Nucleic acid extraction was performed using IndiMag® 48 System (INDICAL Bioscience), M32 Nucleic Acid Extraction System (Biocomma), NEST®MagPure™ System, and Hamilton PCR setup STARlet. Different commercial real-time RT-PCR (RT-qPCR) kits were sequentially used according to market improvements: Allplex™ 2019-nCoV Assay (Seegene Inc), VIASURE SARS-CoV-2 Real Time PCR Detection Kit (Certest Biotec, SL), AllplexTM SARS-CoV-2/Flu A/Flu B/RSV (Seegene Inc) and VIASURE SARS-CoV-2 & UK Variant Real Time PCR Detection Kit (Certest Biotec, SL). All RT-qPCR commercial kits used during the study period were able to detect the virus variants circulating at different times. For amplification and detection, CFX96 Touch Real-Time PCR System (Bio-Rad) and DTprime Real-time Detection Thermal Cycler (DNA-Technology) were used. In addition, rapid assays as GeneXpert system (Cepheid) and Cobas® Liat® SARS-CoV-2 & Influenza A/B (Roche Diagnostics) were carried out for urgent procedures.

Results

Setting up a PCR laboratory

The existing laboratory structure was significantly modified. An enclosed room was built within the laboratory with clearly delimited areas for PCR detection: a clean area with a UV-cabinet for reagents preparation, a separated bench for pre-PCR performing, and the amplification area with real-time PCR thermocyclers. Sample preparation and extraction was integrated in the common microbiology area with the incorporation of an extra biosafety-cabinet and nucleic-acid extraction systems. All zones were prepared with the appropriate equipment and consumables (computer, freezer, mini-centrifuge, vortex, pipettors and tips, etc.). Additionally, to assume a greater number of samples, a separate room was equipped with one biosafety cabinet, the Hamilton PCR setup STARlet and one CFX96 Touch Real-Time PCR System.

One clinical microbiologist and one clinical analyst joined our department to implement 24-h on-call service. Ten laboratory technicians were hired and trained in manual molecular techniques, working 3 shifts covering 24 h a day, 7 days a week. Overall, the laboratory staff grew from 3 to 4 clinical microbiologists plus 1 analyst, and from 7 to 17 laboratory technicians.

SARS-CoV-2 diagnosis activity

HSLL processed 144,442 nasopharyngeal swab samples during the study period, comprising the second to the sixth waves of SARS-CoV-2. COVID-19 laboratory activity involved: from October 2020 to February 2021, a total of 12,737 samples were analysed (mean 124.87, range 53–222); while from February 2021 to March 2022, the activity increased to 131,705 nasopharyngeal swabs processed (mean 305.58 samples, range 48 to 1,326), assuming samples from our primary care area.

Overall, primary care centres and surveillance samples represented 56.06% (80,968/144,442) of the PCRs performed, 41.34% (59,715/144,442) correspond to hospital origin samples, and 2.6% (3,759/144,442) were from health-care workers.

The largest peaks of work occurred during the fifth and sixth wave, with 25,285 samples processed in July 2021, and 32,245 between December 2021 and January 2022, representing 14.5% and 22.3% of the total activity, respectively. Epidemiological surveillance accounting for the largest volume of work (Fig. 1).

Fig. 1.
Fig. 1.

Distribution by origin of sample of the PCRs for SARS-CoV-2 performed from October 2020 to March 2022. The line separates the two different periods of SARS-CoV-2 detection activity in the laboratory

Citation: Acta Microbiologica et Immunologica Hungarica 70, 1; 10.1556/030.2023.01972

Discussion

Our results show the major transformation of a regional laboratory during the SARS-CoV-2 pandemic. Our microbiology department was able to process a large volume of samples in short response times. To handle this large volume of samples, the laboratory organisation underwent substantial changes; new staff were recruited and thoroughly trained, and work shifts were implemented.

In the first months of the outbreak, most reference hospitals struggled to provide rapid results [6]. Considering this situation, regional laboratories implemented molecular areas to expand diagnostic capacity beyond these main centers [7]. The literature describes the adaptation of COVID-19 diagnosis in Microbiology departments with previous experience in PCR-performing [1, 4, 8] and also in laboratories from low-resource countries [9]. However, to the best of our knowledge, there is no work describing the creation of a molecular area from scratch in the context of the COVID-19 emergency in a regional hospital.

One of the biggest challenges faced, was transforming the laboratory structure to integrate the new molecular area. Further than point-of-care testing (POCT), our lab had never performed routine molecular diagnosis, referring such tests to the reference hospital in the area. A great effort was made in the infrastructure project, the implementation of new techniques and the installation of new equipment. It is well known that poorly expertise and performance in NAAT methodology can lead to contaminations or misinterpretations involving serious consequences [10]. To avoid this, personnel were thoroughly trained to meet quality criteria and ensure the reliability of the results.

During the study period, we adapted to the different waves and changes in the surveillance policies of our autonomous community. It should be considered that most of the major hospitals in our country had open robotic systems available to increase their diagnostic capacity [1112]. However, as a small setting, we did not have such platforms accessible, mainly due to space beyond economic reasons. It is remarkable, despite not having the technological and human resources of a reference centre, we reached peaks of 1,326 samples/day with a response time of less than 12 h.

The main limitation of this study is its retrospective nature. Also, multiple and follow-up samples were not excluded, and antigen-test diagnosis was not included in the analysis. However, this work was not intended to show positivity or prevalence data in our area, already reflected in many official reports throughout the pandemic.

COVID-19 pandemic has represented not only the challenge, but the opportunity to introduce NAAT methodology in inexperienced environments. In a globalised world where pathogens can easily spread or emerge, tools for rapid identification are essential. Positively, from now on, applications of molecular diagnostics in small settings can go beyond COVID-19, improving the detection of many infectious diseases and acquiring better independence from reference centres. This work can be useful for other regional hospitals. Secondary laboratories have shown an extraordinary ability to adapt and cannot be left behind in technological advances in the field of Clinical Microbiology.

Conflict of interest

The authors report no conflicts of interest relevant to this article.

Acknowledgements

To the technical staff of the Hospital de Sierrallana y Tres Mares for the great effort made. No external funding was received.

References

  • 1.

    Posteraro B, Marchetti S, Romano L, Santangelo R, Morandotti GA, Sanguinetti M, et al. Clinical microbiology laboratory adaptation to COVID-19 emergency: experience at a large teaching hospital in Rome, Italy. Clin Microbiol Infect 2020; 26: 11091111. https://doi.org/10.1016/j.cmi.2020.04.016.

    • Search Google Scholar
    • Export Citation
  • 2.

    Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DK, et al. Detection of 2019 Novel Coronavirus (2019-NCoV) by real-time RT-PCR. Euro Surveill 2020: 25. https://doi.org/10.2807/1560-7917.ES.2020.25.3.2000045.

    • Search Google Scholar
    • Export Citation
  • 3.

    Udugama B, Kadhiresan P, Kozlowski HN, Malekjahani A, Osborne M, Li VYC, et al. Diagnosing COVID-19: the disease and tools for detection. ACS Nano 2020. https://doi.org/10.1021/acsnano.0c02624.

    • Search Google Scholar
    • Export Citation
  • 4.

    Catalán P, Alonso R, Alcalá L, Marín M, Moure Z, Pescador P, et al. The challenge of COVID-19 for a clinical microbiology department. Diagn Microbiol Infect Dis 2021; 101: 115426. https://doi.org/10.1016/j.diagmicrobio.2021.115426.

    • Search Google Scholar
    • Export Citation
  • 5.

    Haldane V, De Foo C, Abdalla SM, Jung A-S, Tan M, Wu S, et al. Health systems resilience in managing the COVID-19 pandemic: lessons from 28 countries. Nat Med 2021; 27: 964980. https://doi.org/10.1038/s41591-021-01381-y.

    • Search Google Scholar
    • Export Citation
  • 6.

    Vandenberg O, Martiny D, Rochas O, van Belkum A, Kozlakidis Z. Considerations for diagnostic COVID-19 tests. Nat Rev Microbiol 2021; 19: 171183. https://doi.org/10.1038/s41579-020-00461-z.

    • Search Google Scholar
    • Export Citation
  • 7.

    Matheeussen V, Loens K, Lammens C, Vilken T, Koopmans M, Goossens H, et al. Preparedness of European diagnostic microbiology labs for detection of SARS-CoV-2, March 2020. J Clin Virol 2020; 128: 104432. https://doi.org/10.1016/j.jcv.2020.104432.

    • Search Google Scholar
    • Export Citation
  • 8.

    Fernández-Lázaro D, Sanz Gómez N, Sánchez Serrano N, Alaoui Sosse A, Aldea -Mansilla C. Estandarización de Emergencia para el Diagnóstico del virus SARS-CoV-2 mediante la Reacción en Cadena de la Polimerasa de Transcripción Reversa en Tiempo Real (RT-PCR) en situación de pandemia de COVID-19. REMASP 2020; 4: 111. https://doi.org/10.36300/remasp.2020.070.

    • Search Google Scholar
    • Export Citation
  • 9.

    Osaigbovo II, Igbarumah IO, Muoebonam EB, Obaseki DE. Setting up a molecular diagnostic laboratory for SARS-CoV-2 testing: experience of a single centre in a resource-constrained setting. Afr J Lab Med 2021; 10: 7.

    • Search Google Scholar
    • Export Citation
  • 10.

    Okeke IN, Ihekweazu C. The importance of molecular diagnostics for infectious diseases in low-resource settings. Nat Rev Microbiol 2021; 19: 547548. https://doi.org/10.1038/s41579-021-00598-5.

    • Search Google Scholar
    • Export Citation
  • 11.

    Camacho-Martínez P, Martin-Gutiérrez G, Peñalva G, Merino-Díaz L, Lepe JA. Optimization and adaptation of the diagnostic capacity for the performance of large volumes of SARS-CoV-2 RT-PCR. Enferm Infecc Microbiol Clin (Engl Ed) 2021; S0213-005X(21): 00036-00037. https://doi.org/10.1016/j.eimc.2021.01.014.

    • Search Google Scholar
    • Export Citation
  • 12.

    Villanueva-Cañas JL, Gonzalez-Roca E, Gastaminza Unanue A, Titos E, Martínez Yoldi MJ, Vergara Gómez A, et al. Implementation of an open-source robotic platform for SARS-CoV-2 testing by real-time RT-PCR. PLoS One 2021; 16: e0252509. https://doi.org/10.1371/journal.pone.0252509.

    • Search Google Scholar
    • Export Citation
  • 1.

    Posteraro B, Marchetti S, Romano L, Santangelo R, Morandotti GA, Sanguinetti M, et al. Clinical microbiology laboratory adaptation to COVID-19 emergency: experience at a large teaching hospital in Rome, Italy. Clin Microbiol Infect 2020; 26: 11091111. https://doi.org/10.1016/j.cmi.2020.04.016.

    • Search Google Scholar
    • Export Citation
  • 2.

    Corman VM, Landt O, Kaiser M, Molenkamp R, Meijer A, Chu DK, et al. Detection of 2019 Novel Coronavirus (2019-NCoV) by real-time RT-PCR. Euro Surveill 2020: 25. https://doi.org/10.2807/1560-7917.ES.2020.25.3.2000045.

    • Search Google Scholar
    • Export Citation
  • 3.

    Udugama B, Kadhiresan P, Kozlowski HN, Malekjahani A, Osborne M, Li VYC, et al. Diagnosing COVID-19: the disease and tools for detection. ACS Nano 2020. https://doi.org/10.1021/acsnano.0c02624.

    • Search Google Scholar
    • Export Citation
  • 4.

    Catalán P, Alonso R, Alcalá L, Marín M, Moure Z, Pescador P, et al. The challenge of COVID-19 for a clinical microbiology department. Diagn Microbiol Infect Dis 2021; 101: 115426. https://doi.org/10.1016/j.diagmicrobio.2021.115426.

    • Search Google Scholar
    • Export Citation
  • 5.

    Haldane V, De Foo C, Abdalla SM, Jung A-S, Tan M, Wu S, et al. Health systems resilience in managing the COVID-19 pandemic: lessons from 28 countries. Nat Med 2021; 27: 964980. https://doi.org/10.1038/s41591-021-01381-y.

    • Search Google Scholar
    • Export Citation
  • 6.

    Vandenberg O, Martiny D, Rochas O, van Belkum A, Kozlakidis Z. Considerations for diagnostic COVID-19 tests. Nat Rev Microbiol 2021; 19: 171183. https://doi.org/10.1038/s41579-020-00461-z.

    • Search Google Scholar
    • Export Citation
  • 7.

    Matheeussen V, Loens K, Lammens C, Vilken T, Koopmans M, Goossens H, et al. Preparedness of European diagnostic microbiology labs for detection of SARS-CoV-2, March 2020. J Clin Virol 2020; 128: 104432. https://doi.org/10.1016/j.jcv.2020.104432.

    • Search Google Scholar
    • Export Citation
  • 8.

    Fernández-Lázaro D, Sanz Gómez N, Sánchez Serrano N, Alaoui Sosse A, Aldea -Mansilla C. Estandarización de Emergencia para el Diagnóstico del virus SARS-CoV-2 mediante la Reacción en Cadena de la Polimerasa de Transcripción Reversa en Tiempo Real (RT-PCR) en situación de pandemia de COVID-19. REMASP 2020; 4: 111. https://doi.org/10.36300/remasp.2020.070.

    • Search Google Scholar
    • Export Citation
  • 9.

    Osaigbovo II, Igbarumah IO, Muoebonam EB, Obaseki DE. Setting up a molecular diagnostic laboratory for SARS-CoV-2 testing: experience of a single centre in a resource-constrained setting. Afr J Lab Med 2021; 10: 7.

    • Search Google Scholar
    • Export Citation
  • 10.

    Okeke IN, Ihekweazu C. The importance of molecular diagnostics for infectious diseases in low-resource settings. Nat Rev Microbiol 2021; 19: 547548. https://doi.org/10.1038/s41579-021-00598-5.

    • Search Google Scholar
    • Export Citation
  • 11.

    Camacho-Martínez P, Martin-Gutiérrez G, Peñalva G, Merino-Díaz L, Lepe JA. Optimization and adaptation of the diagnostic capacity for the performance of large volumes of SARS-CoV-2 RT-PCR. Enferm Infecc Microbiol Clin (Engl Ed) 2021; S0213-005X(21): 00036-00037. https://doi.org/10.1016/j.eimc.2021.01.014.

    • Search Google Scholar
    • Export Citation
  • 12.

    Villanueva-Cañas JL, Gonzalez-Roca E, Gastaminza Unanue A, Titos E, Martínez Yoldi MJ, Vergara Gómez A, et al. Implementation of an open-source robotic platform for SARS-CoV-2 testing by real-time RT-PCR. PLoS One 2021; 16: e0252509. https://doi.org/10.1371/journal.pone.0252509.

    • Search Google Scholar
    • Export Citation
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Senior editors

Editor-in-Chief: Prof. Dóra Szabó (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)

Managing Editor: Dr. Béla Kocsis (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)

Co-editor: Dr. Andrea Horváth (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)

Editorial Board

  • Prof. Éva ÁDÁM (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Sebastian AMYES (Department of Medical Microbiology, University of Edinburgh, Edinburgh, UK.)
  • Dr. Katalin BURIÁN (Institute of Clinical Microbiology University of Szeged, Szeged, Hungary; Department of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary.)
  • Dr. Orsolya DOBAY (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Ildikó Rita DUNAY (Institute of Inflammation and Neurodegeneration, Medical Faculty, Otto-von-Guericke University, Magdeburg, Germany; Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany)
  • Prof. Levente EMŐDY(Department of Medical Microbiology and Immunology, University of Pécs, Pécs, Hungary.)
  • Prof. Anna ERDEI (Department of Immunology, Eötvös Loránd University, Budapest, Hungary, MTA-ELTE Immunology Research Group, Eötvös Loránd University, Budapest, Hungary.)
  • Prof. Éva Mária FENYŐ (Division of Medical Microbiology, University of Lund, Lund, Sweden)
  • Prof. László FODOR (Department of Microbiology and Infectious Diseases, University of Veterinary Medicine, Budapest, Hungary)
  • Prof. József KÓNYA (Department of Medical Microbiology, University of Debrecen, Debrecen, Hungary)
  • Prof. Yvette MÁNDI (Department of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary)
  • Prof. Károly MÁRIALIGETI (Department of Microbiology, Eötvös Loránd University, Budapest, Hungary)
  • Prof. János MINÁROVITS (Department of Oral Biology and Experimental Dental Research, University of Szeged, Szeged, Hungary)
  • Prof. Béla NAGY (Centre for Agricultural Research, Institute for Veterinary Medical Research, Budapest, Hungary.)
  • Prof. István NÁSZ (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Kristóf NÉKÁM (Hospital of the Hospitaller Brothers in Buda, Budapest, Hungary.)
  • Dr. Eszter OSTORHÁZI (Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary)
  • Prof. Rozália PUSZTAI (Department of Medical Microbiology and Immunobiology, University of Szeged, Szeged, Hungary)
  • Prof. Peter L. RÁDY (Department of Dermatology, University of Texas, Houston, Texas, USA)
  • Prof. Éva RAJNAVÖLGYI (Department of Immunology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary)
  • Prof. Ferenc ROZGONYI (Institute of Laboratory Medicine, Semmelweis University, Budapest, Hungary)
  • Prof. Joseph G. SINKOVICS (The Cancer Institute, St. Joseph’s Hospital, Tampa, Florida, USA)
  • Prof. Júlia SZEKERES (Department of Medical Biology, University of Pécs, Pécs, Hungary.)
  • Prof. Mária TAKÁCS (National Reference Laboratory for Viral Zoonoses, National Public Health Center, Budapest, Hungary.)
  • Prof. Edit URBÁN (Department of Medical Microbiology and Immunology University of Pécs, Pécs, Hungary; Institute of Translational Medicine, University of Pécs, Pécs, Hungary.)

 

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Acta Microbiologica et Immunologica Hungarica
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