Subject Index

air pollution 30, 33, 40–41, 45, 47–48, 213
alcohol 8, 30, 32, 35, 37–40, 42–44, 49–50, 213
bank location(s) 146, 149–151, 160
banking desert 146, 156, 160
biotechnology 71, 165, 172–173, 176–178, 210
body mass index (BMI) 33, 36
breast cancer 7–13, 15–16, 25–28, 112
breast cancer death rate(s) 11, 16
cancer incidence 1, 7–8, 13, 16–19, 21–22, 25–26, 29, 31–33, 43–44, 47–48, 212
cancer mortality 9, 16–17, 22, 24, 26–28, 30, 35–38, 40–41, 43, 51, 179
cancer prevention 9, 30–31, 33, 44, 46–48
Chicago 7–8, 26, 146–147, 149, 152–156, 160, 161
China 31, 165–183, 186–192, 194, 197, 213
cluster(s) 3, 30, 35–43, 45–46, 49–51, 173–174, 177, 212
clustering 11, 35, 42, 45–46, 51, 148
competitiveness 122–123, 125, 144, 173–175, 179, 181–185, 193–194
co-payments 80, 98
COVID-19 pandemic 1–2, 105, 166, 171, 180–182, 184–185, 192–194, 206, 208, 212–214
death rate(s) 11, 16, 40, 42
demand 84, 123–124, 126, 169, 171, 181
determinants of health 7–8, 24, 177, 212, 214
diet 31–33, 35, 38, 41, 43, 49, 51
disparities 1, 7–9, 13, 16–17, 21–29, 45, 48, 88, 149, 179, 212–214
economic assessment 110, 112
economic deprivation 146, 148, 150–152, 156, 160
economic efficiency 115–116
education 10–13, 15, 24–25, 38–41, 44, 46–47, 49–50, 95, 99, 138–140
effectiveness 1, 81, 89–90, 95, 98, 104–105, 108–109, 111–118, 126–127, 172, 176, 198–199, 201
efficiency 2, 75, 81, 84, 90–91, 93–95, 98, 100–101, 104–105, 108, 114–117, 122, 126, 130, 135–136, 170, 200–201, 204, 207, 213–214
emerging economies 165–166
epidemiology 7, 16–17, 22, 24–26, 28, 44–46, 67, 71
Europe 2020 strategy 125
European Union (EU) 30–31, 35–37, 41–46, 62, 64, 86, 100–102, 105, 109, 116, 118–119, 121–122, 125, 127–137, 139–141, 143–145, 165–171, 173, 175–177, 212–213
evaluation 34–35, 46, 61, 93, 97, 100, 109–110, 115, 118, 125–127, 130, 135, 137, 141, 143, 209–210, 214
fringe banking 148, 160
GDP 30, 35, 38–41, 43, 45, 48–51, 81–84, 87–89, 91, 96, 105, 111–114, 138, 167–168, 171, 173, 175–176
Germany 36, 37, 39, 42, 64, 75, 80–82, 86–87, 90, 92, 96, 103, 128–129, 142, 180–181, 183, 186, 188–193
government policy 123
health economics 98, 112, 177–178, 210–211
health equity 7, 16, 29
health disparities 8, 16, 24, 26–28, 48
health policy 1–2, 44, 46, 87, 89, 113, 178, 210, 214
health services 48, 76, 78, 88, 100, 105, 107, 114–115, 117, 195
healthcare/ health care 1–2, 17, 23, 30, 35, 38–43, 61, 67, 75–103, 104–111, 114–121, 126–127, 137–138, 147, 159, 165–172, 175–178, 181–183, 194–195, 212–214
healthcare system/ health care system(s) 1, 2, 23, 61, 75–101, 103–106, 108, 114–117, 165–167, 169–170, 175–176, 178, 182, 212–214
high-technology industries 165–166, 171, 176, 213
Horizon 2020 (H2020) 121–122, 125–132, 134–141, 143, 145
human capital 111, 179, 184, 194, 212
incidence rate 17, 19, 22, 63, 65
incubation period 55, 58
innovation 2, 25, 45, 91–92, 101, 106, 121–125, 138, 141–145, 165–166, 168, 171–179, 181–183, 193–194, 210, 221, 214
intellectual property 123, 183
key performance indicators (KPI) 104, 114–118, 130–131, 214
lifestyle 37, 40, 46, 95, 109, 168, 176
lung cancer 7–8, 13, 16–48, 51, 212–214
market 82, 122–124, 130–131, 135, 142, 145, 170, 172, 175, 176, 181–182, 188, 191, 194, 196–199, 205–208, 213
measurement 106–107, 120, 141, 146, 152–154, 156, 158, 194
measurement radius/radii 146, 152–154, 156, 158
medical admission(s) 18–22
medical product(s) 180–181, 184–192
medical treatment 1, 18
multinationals 182, 191
OLS regressions 151, 153, 156
personalized medicine (PM) 105, 108–114, 116, 118–119, 127, 138
pharmaceutical industry 2, 165, 166, 171–173, 175–178, 181–183, 194, 197, 209–201, 212–213
pharmaceutical sector 2, 166, 173–176, 182, 194, 210, 212, 214
pharmaceuticals 165–166, 171, 175–176, 180–184, 186–193, 213–214
Poland 2, 30, 36–37, 39, 41, 46, 75, 81–82, 88–90, 93, 96, 102, 105, 110, 113, 129, 165–173, 176–177, 183, 198
policy 1–3, 30–31, 34, 44, 46, 83, 87, 89, 101–102, 113, 119, 122–125, 141–145, 160, 173, 175, 177–179, 181–182, 193–194, 210, 214
public health 2, 24–25, 27–29, 44, 46–48, 52–53, 55–56, 61–62, 65–67, 69–70, 76, 80, 146–147, 158–159, 168–169, 171, 177–179, 182, 184, 193, 212–214
public health policies 182, 212
regression model(s) 3, 34, 40–41, 177
revealed comparative advantage (RCA) 180–181, 184–190, 192, 194
risk factor(s) 1, 7–8, 13, 18, 28, 30–35, 36, 40–47, 108, 212–214
Singapore 75, 81, 82, 85–86, 90, 92, 96, 98, 101–102, 183, 213
smoking 8, 16–18, 20–26, 29–30, 32–34, 37, 39–43, 45, 47, 213
societal challenges 122, 125, 130–131, 133, 135, 142
socioeconomic status (SES) 2, 7–10, 11, 13, 15, 16, 25, 30, 34, 35, 36, 39, 40, 41, 42, 43, 45, 46, 213
statistical method(s) 3, 146, 148
supply 60, 79, 124, 176, 184
Sweden 36–37, 39–40, 42–43, 46, 75, 79, 81–82, 87–88, 90, 93, 96–97, 99, 103, 129, 213–214
Switzerland 180–181, 183, 186, 188–193
trade 2, 145, 172, 179, 180–195, 212–213
Trade Intensity Index (TII) 181, 184, 185, 190–191
trade pattern(s) 181, 193
United Kingdom (UK) 75, 77, 79, 81–85, 90–92, 95–96, 100, 102–103, 128–129, 183, 188–190
United States (US) 7–10, 13, 16–17, 23–26, 28–29, 33–34, 46–47, 52, 54, 60–65, 70, 75, 77, 79, 81–83, 90–93, 96–97, 99, 114, 146–151, 158–160, 165–173, 175–176, 178, 180–183, 186, 188–194, 212–213
urban areas 146, 149–151, 155
US cities 147, 158–159
value based healthcare (VBHC) 1–2, 99, 104–109, 114, 116–119
value chain 182–184, 193–194
zoonoses 53, 65, 69
zoonotic foodborne diseases 1, 52–53, 62–63, 65, 214
zoonotic foodborne pathogens 53–54, 60
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