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effectiveness protected area management governance deforestation conservation biodiversityResearch projects 8
Diseases have no borders. A disease anywhere in the world may become a health threat everywhere. It takes less than 36 hours for an outbreak to spread from a remote village to any major city in the world, therefore, the most effective – and cost effective – way to protect people from such health threats i.e measles, cholera and COVID-19 is to stop them before they spread to others and cross borders. Here comes the role of public health surveillance. Public health surveillance is the continuous, systematic collection, analysis and interpretation of health-related data. An effective disease surveillance system is essential to detecting disease outbreaks quickly before they spread, cost lives and become difficult to control. Digital technologies can improve the ability to both detect and respond to disease outbreaks by sharing data swiftly thus helping us to understand how and where diseases are spreading. This information is crucial for deciding what health policies and strategies to make and follow. Significance of this research is not limited to one country but it has global health dimensions. It can help to address the critical issue of global health security by evaluating the impact of digital technologies on public health surveillance. Low and middle income countries (LMICs) including Pakistan have fragile health systems therefore the risk of spreading diseases, even beyond their borders, is high. Disease surveillance system in Pakistan has largely been outdated and paper based, frequently leading to delayed detection of measles, cholera and other communicable disease outbreaks. In 2017, Ministry of Health Pakistan, with support of World Health Organization (WHO), launched Integrated Disease Surveillance and Response (IDSR) system which uses electronic health information system (District Health Information System – DHIS-2) as a platform for rapid and near real time reporting for selected diseases. From 2017 to 2022, the new system was implemented in 52 districts of the country while remaining 104 districts are still using paper based system. The dual existence of different reporting systems presents a unique opportunity for a comparative analysis, allowing for insights into the effectiveness of the digital transition. As a doctoral researcher, I will conduct an evaluation to address the existing knowledge gap regarding the effectiveness of transitioning from traditional paper-based disease data reporting systems to new digital systems. Specifically, my research will focus on evaluating the impact of Integrated Disease Surveillance and Response (IDSR) and District Health Information System 2 (DHIS-2) initiatives in Pakistan. This evaluation aims to assess the effectiveness of new electronic infectious disease surveillance system in enhancing the country's health system capabilities. I aim to conduct a comparative analysis of the performance between DHIS-2, an electronic system, and traditional paper-based systems through cross sectional study, evaluate the effectiveness of the Integrated Disease Surveillance and Response (IDSR) framework and the District Health Information System 2 (DHIS-2) through a comprehensive assessment and explore the determinants influencing the adoption of electronic surveillance systems through a mix method study. The local research infrastructure is well-established, with the National Institutes of Health (NIH) Pakistan under Ministry of Health serving as a central data hub for disease surveillance and public health information. The presence of this infrastructure is vital for the success of the research project, as it provides access to comprehensive and up-to-date data on disease surveillance, outbreaks, and response efforts across Pakistan. The NIH website hosts weekly epidemiological IDSR reports. These reports serve as a rich source of information, forming the foundation for the research and ensuring the reliability and relevance of the data collected. Furthermore, the International Doctoral Programme in Epidemiology and Public Health at Tampere University, drawing on its expertise and research strength, will help to improve the quality and depth of the research findings. Together, these elements of the research infrastructure will contribute to the robustness of the study. The research project is feasible as IDSR implementation, led by Ministry of Health Pakistan, is already in progress with support of WHO. I have five years of practical experience, as a public health expert, in disease surveillance, monitoring and evaluation with World Health Organization, US Centers for Disease Control and Prevention (CDC), and UK Health Security Agency. My previous role as the Training Coordinator in the Integrated Disease Surveillance and Response (IDSR) project has been very relevant. Research will be implemented in phased manner starting from kick off meetings, ethical approvals to data collection, data analysis, reporting and dissemination and finalization and publications. The results of this study may help to improve global health security by examining how well digital health information systems detect and respond to diseases quickly. In Pakistan, the findings might help strengthen the healthcare system, providing useful guidance to policy makers and contributing to practical strategies for better public health monitoring. My research is in line with the European Union's recent Global Health Strategy, which is a cornerstone of the EU's external policy. Addressing and mitigating health threats, particularly pandemics, is highlighted as a key priority within this strategy. Through my research, I aim to contribute to this overarching goal by examining the effectiveness of infectious disease surveillance systems, ultimately working towards a healthier and more resilient global community.
Team
Decision Support for the Supply of Ecosystem Services under Global Change (DecisionES) is a Marie Curie Horizon 2020 - Research and Innovation Framework Programme (2021-2025). Pressures on forest ecosystems are very likely to increase as a consequence of socioeconomic and demographic trends. A growing population will demand more products (e.g., wood) to be extracted from forest ecosystems. At the same time, these harvesting activities and their interactions with global change drivers will impact the sustainability of the supply of a wider range of non-provisioning services (e.g., wildfire protection, water, and biodiversity). The integrity of ecosystems must be safeguarded when developing harvesting activities, and yet this is further complicated by the occurrence of natural disturbances such as wildfires and droughts, etc. New decision support approaches are needed that can cope with this challenge. European and the American experiences with the development and application of decision support approaches for the provision of ecosystem services (ESs), offer a solid base for continued improvement in the efficiency and effectiveness of forest management in the context of global change (e.g., responding to changes in demographics, socioeconomics, and climatic conditions). This provided the rationale for a project that will help to strengthen research collaboration through active networking and staff exchange between 8 European organizations and 10 American organizations that are leaders in these fields. This project will build from the top-level multidisciplinary expertise (wildfire ecology and management, wildfire behaviour simulation, hydrology, process-based modelling, biodiversity, wildlife management, ecology, water services, operations research, management science, stakeholder engagement, forest ecosystem management planning methods, supply chain management methods and decision support systems) in these organizations to address the integration of operational, tactical and strategic forest ecosystem management planning levels and potentiate the supply of ecosystem services at various spatial and temporal scales.
Team
Jordi García-Gozalo
The overall objective of the SuFoRUn project is to develop new models, methods and decision systems that may effectively integrate currently fragmented multidisciplinary knowledge to support forest management and policy development in a context of global change. The European and the American experiences with the development/application of models and tools to support forest management and develop innovative forest policies provide a solid base for continuous improvement of its efficiency and effectiveness in a context of global change (e.g. changes in forest policies, changes in forest owner structures, changes in climatic conditions).
Team
Heli Peltola, Timo Pukkala, Dr Jordi Garcia-Gonzalo ( Centre Tecnologic Forestal de Catalunya CTFC).
The main aim of this interdisciplinary research project is to enhance the understanding on the long-term impacts and effectiveness of Educational Programmes implemented in Natural Protected Areas as a biodiversity conservation strategy - including impacts on Local Environmental Knowledge. To do so, particular Educational Programmes implemented in Protected Areas in Finland and Madagascar have been selected as case studies context, providing a socio-ecological system approach, including human-wildlife conflicts, and also local community participation and LEK integration possibilities.
Team
Dr. Mar Cabeza, Dr. Aili Pyhälä
iFuCo-project strives towards three main objectives: to build a deeper theoretical understanding of students' online inquiry competences, to develop a novel instructional model to enhance learning and teaching of future online inquiry competences in primary education, and to create a long term research network and collaboration between Finland and Chile to meet the global challenges of future education.
Team
Consulting HKH-HYCOS project and its Regional Flood information System (RFIS) and National Flood Information System (NFIS) in Data management and Quality Control (QC) functions for meteorological and hydrological data.
Team
Antti Hyvärinen, Sami Kiesiläinen, Irma Ylikangas
The use of wireless technologies has a lot of potential in finding new home-care related solutions, as well as in improving efficiency in hospitals. Number of applications is monifold both in medical and healthcare, e.g., a possibility of monitoring parameters at home and hospital. Self-care, selfmanagement and cost effectiveness will be the key factors towards the development of these new technological solutions. One example of utilizing wireless technologies leads to distributed hospital concept, in which measurement done at home are sent automatically to healthcare units database, and doctors or nursing staff obtain alarms when necessary. Wireless body area networks (WBAN) have been seen as a future implementation scheme of measuring human physiological parameters. Small and low power sensors installed on-body, or even in-body, are connected to each other and out-of-body using energy efficient wireless communication technique. Wireless connection will allow patients to move around, but still allowing the controlling capability of the nursing staff. The developed system can be transferred from hospitals to home due to the well defined interfaces between the WBAN and the access point of backbone network. In the project, suitable transceivers and network solutions for WBANs are investigated starting form channel models
Team
Ryuji Kohno (YNU)
We investigate the effectiveness of the Madagascar Protected Area network in decreasing deforestation rates and forest fires, accounting for confounding factors such as remoteness and accessibility. We will apply matching methods to get an overall assessment of the effectiveness of the PA network and look at the potential links to governance and protected area management.
Team
Dr. Mar Cabeza, MSc. Johanna Eklund, Dr. Tarmo Virtanen, MSc. Ricardo Rocha, Dr. Lauren Coad