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<title>2019</title>
<link href="https://repository.auw.edu.bd/handle/123456789/814" rel="alternate"/>
<subtitle/>
<id>https://repository.auw.edu.bd/handle/123456789/814</id>
<updated>2026-09-12T00:55:52Z</updated>
<dc:date>2026-09-12T00:55:52Z</dc:date>
<entry>
<title>Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017</title>
<link href="https://repository.auw.edu.bd/handle/123456789/1020" rel="alternate"/>
<author>
<name>Biswas, Tuhin</name>
</author>
<id>https://repository.auw.edu.bd/handle/123456789/1020</id>
<updated>2026-02-18T06:15:19Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017
Biswas, Tuhin
Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation’s&#13;
progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated&#13;
global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year&#13;
1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017&#13;
provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from&#13;
1980 to 2017.&#13;
Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey,&#13;
police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry&#13;
country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted&#13;
in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional&#13;
countries—Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases&#13;
(ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by&#13;
redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools&#13;
&#13;
developed for GBD, including the Cause of Death Ensemble model (CODEm), to generate cause fractions and cause-&#13;
specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions,&#13;
&#13;
GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were&#13;
then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here&#13;
are age-standardised.&#13;
Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NCDs) comprised the&#13;
greatest fraction of deaths, contributing to 73·4% (95% uncertainty interval [UI] 72·5–74·1) of total deaths in&#13;
2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 18·6% (17·9–19·6),&#13;
and injuries 8·0% (7·7–8·2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22·7%&#13;
(21·5–23·9), representing an additional 7·61 million (7·20–8·01) deaths estimated in 2017 versus 2007. The death&#13;
rate from NCDs decreased globally by 7·9% (7·0–8·8). The number of deaths for CMNN causes decreased by&#13;
22·2% (20·0–24·0) and the death rate by 31·8% (30·1–33·3). Total deaths from injuries increased by 2·3%&#13;
(0·5–4·0) between 2007 and 2017, and the death rate from injuries decreased by 13·7% (12·2–15·1) to&#13;
57·9 deaths (55·9–59·2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from&#13;
284 000 deaths (268 000–289 000) globally in 2007 to 352 000 (334 000–363 000) in 2017. Between 2007 and 2017,&#13;
total deaths from conflict and terrorism increased by 118·0% (88·8–148·6). A greater reduction in total deaths and&#13;
death rates was observed for some CMNN causes among children younger than 5 years than for older adults,&#13;
such as a 36·4% (32·2–40·6) reduction in deaths from lower respiratory infections for children younger than&#13;
5 years compared with a 33·6% (31·2–36·1) increase in adults older than 70 years. Globally, the number of&#13;
deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in&#13;
global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respiratory&#13;
infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally&#13;
greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there&#13;
were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across&#13;
the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990—neonatal disorders,&#13;
lower respiratory infections, and diarrhoeal diseases—were ranked second, fourth, and fifth, in 2017. Meanwhile,&#13;
estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even&#13;
though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading&#13;
Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect&#13;
of population growth for all but three causes: substance use disorders, neurological disorders, and skin and&#13;
subcutaneous diseases.&#13;
Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to&#13;
injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding&#13;
threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress&#13;
occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age&#13;
groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for&#13;
NCDs, and the death rate for selected causes has increased in the past decade.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017</title>
<link href="https://repository.auw.edu.bd/handle/123456789/1019" rel="alternate"/>
<author>
<name>Biswas, Tuhin</name>
</author>
<id>https://repository.auw.edu.bd/handle/123456789/1019</id>
<updated>2026-02-18T06:15:20Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017
Biswas, Tuhin
Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division,&#13;
Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of&#13;
previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of&#13;
the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent&#13;
with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on&#13;
previous assessments and provides timely estimates of the mortality experience of populations globally.&#13;
Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age&#13;
groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for&#13;
16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete&#13;
birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths),&#13;
and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of&#13;
death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a&#13;
model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality&#13;
due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship&#13;
between age-specific mortality and development status using the Socio-demographic Index, a composite measure&#13;
based on fertility under the age of 25 years, education, and income. There are four main methodological&#13;
improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new&#13;
estimates of population, generated by the GBD study, are used; statistical methods used in different components of&#13;
the analysis have been further standardised and improved; and the analysis has been extended backwards in time by&#13;
two decades to start in 1950.&#13;
Findings Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion&#13;
has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level,&#13;
between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men&#13;
and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains&#13;
substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the&#13;
Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age&#13;
groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per&#13;
1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across&#13;
countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the&#13;
world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had&#13;
stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between&#13;
1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has&#13;
consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia.&#13;
Performance was also variable across countries and time in observed mortality rates compared with those expected&#13;
on the basis of development.&#13;
Interpretation This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in&#13;
population mortality across countries. The findings of this study highlight global successes, such as the large decline&#13;
in under-5 mortality, which reflects significant local, national, and global commitment and investment over several&#13;
decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among&#13;
adult men and, to a lesser extent, women, whose mortality
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Non-communicable disease (NCD) corners in public sector health facilities in Bangladesh: a qualitative study assessing challenges and opportunities for improving NCD services at the primary healthcare level</title>
<link href="https://repository.auw.edu.bd/handle/123456789/1018" rel="alternate"/>
<author>
<name>Biswas, Tuhin</name>
</author>
<id>https://repository.auw.edu.bd/handle/123456789/1018</id>
<updated>2026-02-18T06:15:25Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Non-communicable disease (NCD) corners in public sector health facilities in Bangladesh: a qualitative study assessing challenges and opportunities for improving NCD services at the primary healthcare level
Biswas, Tuhin
Objective To explore healthcare providers’ perspective&#13;
on non-communicable disease (NCD) prevention and&#13;
management services provided through the NCD&#13;
corners in Bangladesh and to examine challenges and&#13;
opportunities for strengthening NCD services delivery at&#13;
the primary healthcare level.&#13;
Design We used a grounded theory approach involving&#13;
in-depth qualitative interviews with healthcare&#13;
providers. We also used a health facility observation&#13;
checklist to assess the NCD corners’ service readiness.&#13;
Furthermore, a stakeholder meeting with participants&#13;
from the government, non-government organisations&#13;
(NGOs), private sector, universities and news media was&#13;
conducted.&#13;
Setting Twelve subdistrict health facilities, locally&#13;
known as upazila health complex (UHC), across four&#13;
administrative divisions.&#13;
Participants Participants for the in-depth qualitative&#13;
interviews were health service providers, namely upazila&#13;
health and family planning officers (n=4), resident medical&#13;
officers (n=6), medical doctors (n=4) and civil surgeons&#13;
(n=1). Participants for the stakeholder meeting were health&#13;
policy makers, health programme managers, researchers,&#13;
academicians, NGO workers, private health practitioners&#13;
and news media reporters.&#13;
Results Participants reported that diabetes, hypertension&#13;
and chronic obstructive pulmonary disease were the major&#13;
NCD-related problems. All participants acknowledged the&#13;
governments’ initiative to establish the NCD corners to&#13;
support NCD service delivery. Participants thought the NCD&#13;
corners have contributed substantially to increase NCD&#13;
awareness, deliver NCD care and provide referral services.&#13;
However, participants identified challenges including lack&#13;
of specific guidelines and standard operating procedures;&#13;
lack of trained human resources; inadequate laboratory&#13;
facilities, logistics and medications; and poor recording&#13;
and reporting systems.&#13;
Conclusion The initiative taken by the Government of&#13;
Bangladesh to set up the NCD corners at the primary healthcare level is appreciative. However, the NCD corners&#13;
are still at nascent stage to provide prevention and&#13;
management services for common NCDs. These findings&#13;
need to be taken into consideration while expanding the&#13;
NCD corners in other UHCs throughout the country.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017</title>
<link href="https://repository.auw.edu.bd/handle/123456789/1017" rel="alternate"/>
<author>
<name>Biswas, Tuhin</name>
</author>
<id>https://repository.auw.edu.bd/handle/123456789/1017</id>
<updated>2026-02-18T06:15:10Z</updated>
<published>2019-01-01T00:00:00Z</published>
<summary type="text">Population and fertility by age and sex for 195 countries and territories, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017
Biswas, Tuhin
Summary&#13;
Background Population estimates underpin demographic and epidemiological research and are used to track progress&#13;
on numerous international indicators of health and development. To date, internationally available estimates of&#13;
population and fertility, although useful, have not been produced with transparent and replicable methods and do not&#13;
use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility&#13;
and population by sex with standardised and replicable methods.&#13;
Methods We estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017&#13;
with standardised and replicable methods. We based the estimates on the demographic balancing equation, with&#13;
inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital&#13;
registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary&#13;
birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a&#13;
specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used&#13;
the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived&#13;
through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs&#13;
observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated&#13;
from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific&#13;
mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data&#13;
on population came from 1257 censuses and 761 population registry location-years and were adjusted for&#13;
underenumeration and age misreporting with standard demographic methods. Migration was estimated with the&#13;
GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model&#13;
prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility,&#13;
mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing.&#13;
With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in&#13;
195 countries and territories.&#13;
Findings From 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4–52·0). The TFR decreased&#13;
from 4·7 livebirths (4·5–4·9) to 2·4 livebirths (2·2–2·5), and the ASFR of mothers aged 10–19 years decreased from&#13;
37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population&#13;
has been increasing by an average of 83·8 million people per year since 1985. The global population increased by&#13;
197·2% (193·3–200·8) since 1950, from 2·6 billion (2·5–2·6) to 7·6 billion (7·4–7·9) people in 2017; much of this&#13;
increase was in the proportion of the global population in south Asia and sub-Saharan Africa. The global annual rate&#13;
of population growth increased between 1950 and 1964, when it peaked at 2·0%; this rate then remained nearly&#13;
constant until 1970 and then decreased to 1·1% in 2017. Population growth rates in the southeast Asia, east Asia, and&#13;
Oceania GBD super-region decreased from 2·5% in 1963 to 0·7% in 2017, whereas in sub-Saharan Africa, population&#13;
growth rates were almost at the highest reported levels ever in 2017, when they were at 2·7%. The global average age&#13;
increased from 26·6 years in 1950 to 32·1 years in 2017, and the proportion of the population that is of working age&#13;
(age 15–64 years) increased from 59·9% to 65·3%. At the national level, the TFR decreased in all countries and&#13;
territories between 1950 and 2017; in 2017, TFRs ranged from a low of 1·0 livebirths (95% UI 0·9–1·2) in Cyprus to a&#13;
high of 7·1 livebirths (6·8–7·4) in Niger. The TFR under age 25 years (TFU25; number of livebirths expected by age&#13;
25 years for a hypothetical woman who survived the age group and was exposed to current ASFRs) in 2017 ranged&#13;
from 0·08 livebirths (0·07–0·09) in South Korea to 2·4 livebirths (2·2–2·6) in Niger, and the TFR over age 30 years&#13;
(TFO30; number of livebirths expected for a hypothetical woman ageing from 30 to 54 years who survived the age&#13;
group and was exposed to current ASFRs) ranged from a low of 0·3 livebirths (0·3–0·4) in Puerto Rico to a high of&#13;
3·1 livebirths (3·0–3·2) in Niger. TFO30 was higher than TFU25 in 145 countries and territories in 2017. 33 countries&#13;
had a negative population growth rate from 2010 to 2017, most of which were located in central, eastern, and western&#13;
Europe, whereas population growth rates of more than 2·0% were seen in 33 of 46 countries in sub-Saharan Africa.&#13;
In 2017, less than 65% of the national population was of working age in 12 of 34 high-income countries, and less than&#13;
50% of the national population was of working age in Mali, Chad, and Niger. &#13;
Interpretation Population trends create demographic dividends and headwinds (ie, economic benefits and detriments)&#13;
that affect national economies and determine national planning needs. Although TFRs are decreasing, the global&#13;
population continues to grow as mortality declines, with diverse patterns at the national level and across age groups.&#13;
To our knowledge, this is the first study to provide transparent and replicable estimates of population and fertility,&#13;
which can be used to inform decision making and to monitor progress.
</summary>
<dc:date>2019-01-01T00:00:00Z</dc:date>
</entry>
</feed>
