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European Early Warning System Prototypes for Vector-Borne Diseases
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Malaria Control & Elimination

ISSN: 2470-6965

Open Access

Short Communication - (2023) Volume 12, Issue 1

European Early Warning System Prototypes for Vector-Borne Diseases

James Shen*
*Correspondence: James Shen, Department of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Patna, India, Email:
Department of Vector Biology and Control, Rajendra Memorial Research Institute of Medical Sciences, Patna, India

Received: 02-Jan-2023, Manuscript No. mcce-23-92824; Editor assigned: 04-Jan-2023, Pre QC No. P-92824; Reviewed: 18-Jan-2023, QC No. Q-92824; Revised: 23-Jan-2023, Manuscript No. R-92824; Published: 30-Jan-2023 , DOI: 10.37421/2470-6965.2023.12.204
Citation: Shen, James. “European Early Warning System Prototypes for Vector-Borne Diseases.” Malar Contr Elimination 12 (2023): 204.
Copyright: © 2023 Shen J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Introduction

Infectious diseases, which can also serve as precursors to epidemics, are significantly driven by globalization, environmental change, social and demographic determinants and the capacity of health systems. As a result, keeping an eye on changes in these drivers can assist in anticipating or even forecasting an increase in infectious diseases. This is the goal of the European Environment and Epidemiology (E3) Network, which has been applied to three early warning case studies: In order to target activities for epidemiological, entomological and vector control, the environment in which malaria spreads in Greece was mapped. These integrated preparedness and response activities stopped the spread of malaria in these areas in 2013. Beginning around 2010, repetitive West Nile fever episodes have followed in South/eastern Europe. The 2010 outbreak was linked to temperature variations from the 30-year average. Monthly temperature anomalies for July and a normalized water index were used in multivariate logistic regression models to calculate the drivers of subsequent outbreaks. Dengue is a tropical disease, but Madeira has recently experienced sustained transmission. In France and Croatia, autochthonous transmission has also occurred repeatedly, primarily as a result of travel importation. The number of international travellers from dengue-affected regions around the world was used to calculate the risk of dengue importation into Europe in 2010. Monitoring infectious disease drivers, as demonstrated by these prototype early warning systems, may assist in predicting threats posed by vector-borne diseases.

Description

The biotic (living organisms in an ecosystem), abiotic (non-living elements in an ecosystem) and socioeconomic drivers of disease are all factors in the emergence and spread of vector-borne diseases (VBD) in Europe. An outbreak of VBD can be sparked by permissive circumstances that coincide in time and space. A systems perspective is needed to anticipate and explain such an outbreak. Conducting a foresight study to identify and monitor new developments or changes pertaining to a particular issue or to develop new tools, such as scenarios, to inform strategic planning, research prioritizations, policymaking and other endeavours is one such strategy. The European Centre for Disease Prevention and Control (ECDC) conducted such a foresight study to predict the sudden emergence of infectious disease threats in Europe by 2020 by mapping the interrelated and interdependent nature of disease drivers. There were three broad categories of Europe's most significant infectious disease drivers: change in the environment and globalization; demographic and social change; furthermore, general wellbeing framework. The following is a brief overview of their connection to VBD [1].

It is acknowledged that environmental change and globalization are significant disease drivers. They include the ever-expanding scope of travel, commerce and population movements. Worldwide infection dispersal is supported by a thick organization of air traffic and delivery courses. They have made it easier for invasive pathogens like dengue, malaria, chikungunya and West Nile virus to arrive, establish and spread to new geographic locations. Since they can spread from animals to humans, it is estimated that zoonotic pathogens account for approximately 60% of all human diseases. In urban, suburban and rural settings with a variety of animal habitats like pastures, arable fields and managed forests, therefore, land use can indirectly determine the spread of zoonotic diseases through various exposure pathways. VBD emergence has also been linked to urban sprawl, high population densities and urbanization. Wild animals may be forced into new environments as a result of habitat encroachment or destruction, which can influence patterns of exposure to infectious pathogens. Since some of the vectors are cold-blooded, climatic conditions are also important drivers of VBD. Consequently, the geographic ranges of VBD transmission may be altered by climate change [2].

The shift in demographic profile, social inequality and lifestyle all fall under the category of social and demographic change. Socially and financially impeded bunches experience the ill effects of irresistible sicknesses in Europe. During the recession of the 1990s, people in Central and Eastern Europe turned to mushroom picking in wooded areas, increasing their risk of tick-borne encephalitis. During the 1999–2000 economic crisis in Kosovo, food stores were closed, which led to an increase in rodent populations and the emergence of tularaemia. The 2007 home loan dispossessions in the Californian real estate market brought about many deserted homes with pools, expanding reproducing environments for mosquitoes, which was connected to a uniquely early occasional expansion in West Nile Infection cases. The public health system includes health care, animal and food safety, research and development and surveillance and reporting. Be that as it may, current observation frameworks probably won't be satisfactorily furnished to adapt to the appearance and dispersal of "tropical microbes" normally connected with hotter temperatures [3].

A significant threat to the blood supply and, consequently, public health is the contamination of blood products from donors who are infected with known, unexpected, or unknown pathogens. It's possible that the current microbial blood safety practices won't be enough to deal with the changing environment worldwide. New surveillance systems and pathogen reduction technologies for the blood supply could be developed to lower the risk of these new threats. Early treatment for VBD, which can help stop an outbreak by removing an infected host from the transmission cycle, is strongly influenced by access to healthcare. Nonetheless, for infections, for example, dengue infection, the patient is viremic prior to turning out to be sick in this manner giving a wellspring of mosquito contamination [4,5].

Conclusion

Based on various infectious disease drivers from the aforementioned ECDC foresight study, eight plausible threat scenarios were developed for the European Union by 2020. The plausibility of the event, potential severity in terms of disease burden and relevance to multiple EU member states were the criteria used to select these threat scenarios. Prioritization of public health interventions and the formulation of health policy decisions were their primary purposes. The development of concrete measures to mitigate the potential adverse effects on public health posed by such infectious disease threats was guided by these conceivable scenarios. A VBD outbreak brought on by travel and tourism, global trade, social inequality and environmental/climate change was one possible scenario. The introduction of new disease vectors, which opens up new opportunities for disease transmission, is viewed as a threat in the VBD scenario; increased capacity of vectors to transmit pathogens (for instance, through mutation); and a shift in the disease, host and vector transmission range as a result of socioeconomic factors and climate change.

Acknowledgement

None.

Conflict of Interests

None.

References

  1. Kain, Kevin C., Dennis E. Kyle, Chansuda Wongsrichanalai and Arthur E. Brown, et al. "Qualitative and semiquantitative polymerase chain reaction to predict Plasmodium falciparum treatment failure."J Infect Dis 17 (1994): 1626-1630.
  2. Google Scholar, Crossref, Indexed at

  3. Mens, P., and HDFH Schallig. "Is molecular biology the best alternative for diagnosis of malaria to microscopy? A comparison between microscopy, antigen detection and molecular tests in rural Kenya and urban Tanzania."TM & IH 12 (2007): 238-244.
  4. Google Scholar, Crossref, Indexed at

  5. Mahende, Coline, Billy Ngasala, John Lusingu and Tai-Soon Yong, et al. "Performance of rapid diagnostic test, blood-film microscopy and PCR for the diagnosis of malaria infection among febrile children from Korogwe District, Tanzania."Malar J 15 (2016): 1-7.
  6. Google Scholar, Crossref, Indexed at

  7. Ojurongbe, Olusola, Olunike Olayeni Adegbosin, Sunday Samuel Taiwo and Oyebode Armstrong Terry Alli, et al. "Assessment of clinical diagnosis, microscopy, rapid diagnostic tests and polymerase chain reaction in the diagnosis of Plasmodium falciparum in Nigeria."Malar Res Treat 2013 (2013).
  8. Google Scholar, Crossref, Indexed at

  9. Murungi, Moses, Travis Fulton, Raquel Reyes and Michael Matte, et al. "Improving the specificity of Plasmodium falciparum malaria diagnosis in high-transmission settings with a two-step rapid diagnostic test and microscopy algorithm."J Clin Microbiol 55 (2017): 1540-1549.
  10. Google Scholar, Crossref, Indexed at

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