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  <doc>
    <id>1264</id>
    <completedYear>2023</completedYear>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted>2023</thesisYearAccepted>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>x, 224 Seiten</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>doctoralthesis</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-05-31</completedDate>
    <publishedDate>2023-05-31</publishedDate>
    <thesisDateAccepted>2023-04-12</thesisDateAccepted>
    <title language="eng">Health challenges of the 21st century - Empirical essays on the health and economic burden of non-communicable diseases and climate change in Southeast Asia</title>
    <abstract language="eng">In the ongoing 21st century, low- and middle-income countries will face two health challenges that are thoroughly different from what these countries have been dealing with in preceding centuries. First, they are confronted with surging rates of non-communicable diseases (NCDs), and second, climate change will take its toll and is predicted to cause catastrophic health impairments and exacerbate chronic health conditions further. Both will pose a disproportionate health and economic burden on low- and middle-income countries, which are also the countries least able to cope with them. By threatening individual health and socioeconomic improvements, and by putting an immense burden on already constrained health care systems, they impede the progress in poverty reduction and widen health inequities between the rich and the poor.&#13;
&#13;
Against this background, this thesis investigates the potential of NCD prevention and treatment measures in the context of Southeast Asia, with case studies in Indonesia. Specifically, it seeks to understand what kind of health interventions have the potential to be (cost-)effective considering the cultural background, lifestyle, health literacy and health system capacities in the region. Further, this thesis analyzes the interplay between NCDs and climate change and assesses the financial burden that both might pose in the decades to come. Hence, this thesis contributes to a better understanding of how the two health challenges of the 21st century, NCDs and climate change, can be addressed in the context of Southeast Asia and offers insights into what type of health policies and interventions can play a supportive role.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:739-opus4-12649</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY-SA - Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International</licence>
    <author>Manuela Fritz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Health</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Climate change</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Non-communicable diseases</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Southeast Asia</value>
    </subject>
    <collection role="ddc" number="330">Wirtschaft</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="">Wirtschaftswissenschaftliche Fakultät</collection>
    <thesisPublisher>Universität Passau</thesisPublisher>
    <thesisGrantor>Universität Passau</thesisGrantor>
    <file>https://opus4.kobv.de/opus4-uni-passau/files/1264/Dissertation_Fritz.pdf</file>
  </doc>
  <doc>
    <id>1142</id>
    <completedYear>2022</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2445</pageFirst>
    <pageLast>2464</pageLast>
    <pageNumber>20 Seiten</pageNumber>
    <edition/>
    <issue>11</issue>
    <volume>31</volume>
    <type>article</type>
    <publisherName>Wiley</publisherName>
    <publisherPlace>Hoboken</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-10-03</completedDate>
    <publishedDate>2022-10-03</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Temperature and non‐communicable diseases: Evidence from Indonesia's primary health care system</title>
    <abstract language="eng">Climate change induced rising temperatures will pose a detrimental threat to decent health in the coming decades. Especially at risk are individuals with chronic diseases, since heat can exacerbate a variety of health conditions. In this article, I examine the heat‐morbidity relationship in the context of Indonesia, focusing on chronic, non‐communicable diseases, namely diabetes, cardiovascular and respiratory diseases. Using a novel dataset from the Indonesian national health insurance scheme Jaminan Kesehatan Nasional/Badan Penyelenggara Jaminan Sosial (BPJS) and linking it with meteorological data on the daily‐district level, I estimate the causal effect of high temperatures on the daily number of primary health care visits. The results show that on a hot day all‐cause visits and visits with a diagnosis of diabetes and cardiovascular diseases increase by 8%, 25% and 14%, respectively. These increases are permanent and not offset by visit displacement or ‘harvesting’. Visits related to respiratory diseases seem not to be affected by high temperatures. I use several climate change scenarios to predict the increase in visits and costs by the end of the century, which all forecast a substantial financial burden for the health care system. These results might have relevance for other middle‐income countries with similar climatic conditions.</abstract>
    <parentTitle language="eng">Health Economics</parentTitle>
    <identifier type="doi">10.1002/hec.4590</identifier>
    <identifier type="urn">urn:nbn:de:bvb:739-opus4-11429</identifier>
    <enrichment key="opus.import.date">2022-11-22T18:55:55+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">deepgreen</enrichment>
    <enrichment key="opus.import.file">attachment; filename=deposit.zip</enrichment>
    <enrichment key="opus.import.checksum">e601c93995e58e73af888dfef7f2e6f7</enrichment>
    <author>Manuela Fritz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>climate change</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>health</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Indonesia</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>JKN/BPJS kesehatan</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>non‐communicable diseases</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>temperature</value>
    </subject>
    <collection role="ddc" number="610">Medizin und Gesundheit</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="">Wirtschaftswissenschaftliche Fakultät</collection>
    <collection role="Import" number="import">Import</collection>
    <collection role="Transformationsvertrag" number="">DEAL Wiley</collection>
    <thesisPublisher>Universität Passau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-uni-passau/files/1142/HEC_HEC4590.pdf</file>
  </doc>
  <doc>
    <id>1515</id>
    <completedYear>2024</completedYear>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>13 Seiten</pageNumber>
    <edition/>
    <issue>7</issue>
    <volume>2024</volume>
    <type>article</type>
    <publisherName>Macmillan Publishers Limited</publisherName>
    <publisherPlace>Basingstoke</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-09-13</completedDate>
    <publishedDate>2024-09-13</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Can social media encourage diabetes self-screenings? A randomized controlled trial with Indonesian Facebook users</title>
    <abstract language="eng">Nudging individuals without obvious symptoms of non-communicable diseases (NCDs) to undergo a health screening remains a challenge, especially in middle-income countries, where NCD awareness is low but the incidence is high. We assess whether an awareness campaign implemented on Facebook can encourage individuals in Indonesia to undergo an online diabetes self-screening. We use Facebook’s advertisement function to randomly distribute graphical ads related to the risk and consequences of diabetes. Depending on their risk score, participants receive a recommendation to undergo a professional screening. We were able to reach almost 300,000 individuals in only three weeks. More than 1400 individuals completed the screening, inducing costs of about US$0.75 per person. The two ads labeled “diabetes consequences” and “shock” outperform all other ads. A follow-up survey shows that many high-risk respondents have scheduled a professional screening. A cost-effectiveness analysis suggests that our campaign can diagnose an additional person with diabetes for about US$9.</abstract>
    <parentTitle language="eng">npj | Digital medicine</parentTitle>
    <identifier type="doi">10.1038/s41746-024-01246-x</identifier>
    <identifier type="urn">urn:nbn:de:bvb:739-opus4-15157</identifier>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Manuela Fritz</author>
    <author>Michael Grimm</author>
    <author>Ingmar Weber</author>
    <author>Elad Yom-Tov</author>
    <author>Benedictus Praditya</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Health care economics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Population screening</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Risk factors</value>
    </subject>
    <collection role="ddc" number="300">Sozialwissenschaften</collection>
    <collection role="ddc" number="610">Medizin und Gesundheit</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="">Sozial- und Bildungswissenschaftliche Fakultät</collection>
    <collection role="FundingAcknowledgement" number="">Gefördert durch den Open-Access-Publikationsfonds der Universitätsbibliothek Passau.</collection>
    <thesisPublisher>Universität Passau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-uni-passau/files/1515/Fritz_Social_Media.pdf</file>
  </doc>
  <doc>
    <id>1545</id>
    <completedYear>2022</completedYear>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>30 Seiten</pageNumber>
    <edition/>
    <issue>3</issue>
    <volume>2022</volume>
    <type>article</type>
    <publisherName>Springer Nature</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2022-09-10</completedDate>
    <publishedDate>2022-09-10</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Wave after wave: determining the temporal lag in Covid-19 infections and deaths using spatial panel data from Germany</title>
    <abstract language="eng">The Covid-19 pandemic requires a continuous evaluation of whether current policies and measures taken are sufficient to protect vulnerable populations. One quantitative indicator of policy effectiveness and pandemic severity is the case fatality ratio, which relies on the lagged number of infections relative to current deaths. The appropriate length of the time lag to be used, however, is heavily debated. In this article, I contribute to this debate by determining the temporal lag between the number of infections and deaths using daily panel data from Germany’s 16 federal states. To account for the dynamic spatial spread of the virus, I rely on different spatial econometric models that allow not only to consider the infections in a given state but also spill over effects through infections in neighboring federal states. My results suggest that a wave of infections within a given state is followed by increasing death rates 12 days later. Yet, if the number of infections in other states rises, the number of death cases within that given state subsequently decreases. The results of this article contribute to the better understanding of the dynamic spatio-temporal spread of the virus in Germany, which is indispensable for the design of effective policy responses.</abstract>
    <parentTitle language="eng">Journal of Spatial Econometrics</parentTitle>
    <identifier type="doi">10.1007/s43071-022-00027-6</identifier>
    <identifier type="urn">urn:nbn:de:101:1-2022112821095396799160</identifier>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Manuela Fritz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Covid-19</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Spatio-temporal models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Time lag effects</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Spatial spillovers</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Spatial Durbin model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Germany</value>
    </subject>
    <collection role="ddc" number="300">Sozialwissenschaften</collection>
    <collection role="ddc" number="330">Wirtschaft</collection>
    <collection role="ddc" number="610">Medizin und Gesundheit</collection>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="">Wirtschaftswissenschaftliche Fakultät</collection>
    <collection role="Transformationsvertrag" number="">DEAL Springer Nature</collection>
    <thesisPublisher>Universität Passau</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-uni-passau/files/1545/Fritz_WaveAfterWave.pdf</file>
  </doc>
</export-example>
