David Whiting
Biographic Data
| ID | 6165710 |
|---|---|
| NAME | David Whiting |
| GIVEN NAMES | David |
| FAMILY NAME | Whiting |
| SIGNATURE | WHITING D |
| AFFILIATIONS | Newcastle University |
| ORCID | 0000-0001-9827-2896 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1999 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 0 |
A Grief Explored
In the months following my mother’s death I searched for outlets for my grief. There were factual obituaries to be written, but I wanted to write something at a deeper level, as a way of trying to
Global estimates of diabetes prevalence for 2013 and projections for 2035
IDF Diabetes Atlas
Is It Time to Reassess the Categorization of Disease Burdens in Low-Income Countries
The classification of disease burdens is an important topic that receives little attention or debate. One common classification scheme, the broad cause grouping, is based on etiology and health transition theory and is mainly concerned with distinguishing communicable from noncommunicable diseases. This may be of limited utility to policymakers and planners. We propose a broad care needs framework to complement the broad cause grouping. This alte…
Tobacco smoking in Tanzania, East Africa
The data suggest: (1) high rates of smoking among men in an urban area of East Africa; and (2) the importance of validating self reports of smoking status, particularly among women
Educational status is related to mortality at the community level in three areas of Tanzania, 1992–1998
Research on health outcomes and socioeconomic status in Africa remains scanty.1 There continues to be a dearth of representative mortality data from developing countries, particularly from sub-Saharan Africa. This lack of information hampers evidence-based planning and an understanding of the relation between relative socioeconomic advantage and health outcomes such as mortality. In the United States, Murray et al 2 have demonstrated the utility …
A Kiswahili version of the SF-36 Health Survey for use in Tanzania
Validation of the Kiswahili version of the SF-36 Health Survey in a representative sample of an urban population in Tanzania
No prominent works on this page.
A Kiswahili version of the SF-36 Health Survey for use in Tanzania
Validation of the Kiswahili version of the SF-36 Health Survey in a representative sample of an urban population in Tanzania
Educational status is related to mortality at the community level in three areas of Tanzania, 1992–1998
Research on health outcomes and socioeconomic status in Africa remains scanty.1 There continues to be a dearth of representative mortality data from developing countries, particularly from sub-Saharan Africa. This lack of information hampers evidence-based planning and an understanding of the relation between relative socioeconomic advantage and health outcomes such as mortality. In the United States, Murray et al 2 have demonstrated the utility …
Tobacco smoking in Tanzania, East Africa
The data suggest: (1) high rates of smoking among men in an urban area of East Africa; and (2) the importance of validating self reports of smoking status, particularly among women
Is It Time to Reassess the Categorization of Disease Burdens in Low-Income Countries
The classification of disease burdens is an important topic that receives little attention or debate. One common classification scheme, the broad cause grouping, is based on etiology and health transition theory and is mainly concerned with distinguishing communicable from noncommunicable diseases. This may be of limited utility to policymakers and planners. We propose a broad care needs framework to complement the broad cause grouping. This alte…
IDF Diabetes Atlas
Global estimates of diabetes prevalence for 2013 and projections for 2035
A Grief Explored
In the months following my mother’s death I searched for outlets for my grief. There were factual obituaries to be written, but I wanted to write something at a deeper level, as a way of trying to
Environmental health (7 works) · Medicine (7 works) · Population (6 works) · Tanzania (5 works) · Demography (4 works) · Gerontology (4 works) · Health disparities and outcomes (4 works) · Demography (3 works) · Geography (3 works) · Gerontology (3 works)