big bad proofread

theorashid · Aug 8, 2023 · 314999e · 314999e
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diff --git a/thesis/Appendices/AppendixA.qmd b/thesis/Appendices/AppendixA.qmd
@@ -21,7 +21,7 @@ $$ {#eq-app-a-life-table-1}
 
 The number of person-years lived is the sum of the number of survivors weighted by the band width and number of people who died weighted by ${}_{n}a_{x}$
 $$
-{}_{n}L_{x} = n l_x \cdot + {}_{n}a_{x} l_{x} {}_{n}q_{x} \quad {}_{\infty}L_{x} = \frac{l_x}{{}_{\infty}m_{x}},
+{}_{n}L_{x} = n \cdot l_x + {}_{n}a_{x} \cdot l_{x} \cdot {}_{n}q_{x} \quad {}_{\infty}L_{x} = \frac{l_x}{{}_{\infty}m_{x}},
 $$ {#eq-app-a-life-table-2}
 
 and the total number of person-years lived above $x$ is

diff --git a/thesis/Appendices/AppendixD.qmd b/thesis/Appendices/AppendixD.qmd
@@ -13,12 +13,12 @@
 | All other cancers                  | C00-C14, C16-C17, C22-C24, C26-C32, C37-C41, C43-C49, C51-C55, C57-C60, C62-C67, C68-C80, C91-C95, C97, D00-D48 |
 | Ischaemic heart disease            | I20-I25                                                |
 | Stroke                             | I60-I69                                                |
-| All other CVD                      | I00-I19, I26-I59, I70-I99                              |
+| All other CVDs                     | I00-I19, I26-I59, I70-I99                              |
 | Alzheimer's and other dementias    | F00-F03, G30                                           |
 | COPD                               | J40-44                                                 |
 | Diabetes mellitus, nephritis and nephrosis | E10-14, N00-19                                 |
 | Liver cirrhosis                    | K70, K74                                               |
-| All other NCD                      | D55-D648, D65-D89, E03-E07, E15-E16, E20-E34, E65-E88, F01-F99, G06-G13, G15-G98, H00-H61, H68-H93, J30-J39, J45-J98, K00-K14, K20-K69, K71-K73, K75-K92, L00-L98, M00-M99, N20-64, N75-N99, Q00-Q99, R95, X41-X42, X45 |
+| All other NCDs                     | D55-D648, D65-D89, E03-E07, E15-E16, E20-E34, E65-E88, F01-F99, G06-G13, G15-G98, H00-H61, H68-H93, J30-J39, J45-J98, K00-K14, K20-K69, K71-K73, K75-K92, L00-L98, M00-M99, N20-64, N75-N99, Q00-Q99, R95, X41-X42, X45 |
 | Lower respiratory infections       | J09-18, J20-J22                                        |
 | All other IMPN                     | A00-99, B00-99, D50-53, D649, E00-E02, E40-46, E50-54, G00, G03-G04, G14, H65-H66, N70-N73, J00-J06, O00-O99, P00-P96, Z353 |
 | Injuries                           | U00-U01, U509, V00-V99, W00-W99, X00-X40, X43-X44, X46-X99, Y00-Y01, Y10-Y36, Y381, Y40-Y86, Y870-Y872, Y88-Y89 |
@@ -27,9 +27,9 @@
 
 Ovarian cancer (women) and prostate cancer (men) are sex specific.
 The all other cancers group also includes breast cancer for men.
-Liver cirrhosis was not in the top 12 leading causes of death for women, so it was included within all other NCD.
+Liver cirrhosis was not in the top 12 leading causes of death for women, so it was included within all other NCDs.
 
-The residual groups (all other cancers, all other CVD, all other NCD, all other IMPN) also contained deaths from the "ill-defined diseases" GHE group (R00-R94, R96-R99, U07, U99).
+The residual groups (all other cancers, all other CVDs, all other NCDs, all other IMPN) also contained deaths from the "ill-defined diseases" GHE group (R00-R94, R96-R99, U07, U99).
 There were 196,055 deaths from ill-defined diseases.
 These were proportionately assigned between the residual groups.
 
@@ -59,6 +59,6 @@ These deaths were classified as injuries.
 The residual group also contained deaths from the "ill-defined diseases", which were proportionately assigned as above.
 The residual group also includes breast cancer for men.
 Ovarian cancer, corpus uteri cancer (women) and prostate cancer (men) are sex specific.
-Bladder cancer and liver cancer were not leading cancers for women, so they are included in the residual group.
+Bladder cancer and liver cancer were not leading cancers for women, so they were included in the residual group.
 
 The next leading cancers in the residual group of all other cancers were bladder cancer, brain and nervous system cancers, and liver cancer for women, and brain and nervous system cancers, mesothelioma, and melanoma and other skin cancers for men.
diff --git a/thesis/Appendices/AppendixE.qmd b/thesis/Appendices/AppendixE.qmd
@@ -2,7 +2,7 @@
 
 This appendix contains district-level maps of the probability of dying between birth and 80 years of age in 2019 and change from 2002 to 2019 from specific causes of deaths, which supplement the text in @sec-Chapter7 and @sec-Chapter8.
 Note, there are two sets of maps for all other cancers, one for each chapter.
-The all other cancers group for @sec-Chapter8 contains fewer deaths because the group from @sec-Chapter7 had been divided to include more cancer groups.
+The all other cancers group for @sec-Chapter8 contains fewer deaths because the group from @sec-Chapter7 had been divided to include more site-specific cancer groups.
 
 ::: {#fig-app-e-map-ihd layout-ncol=1}
 

diff --git a/thesis/Chapters/Chapter1.qmd b/thesis/Chapters/Chapter1.qmd
@@ -3,7 +3,7 @@
 ## Rationale
 
 Although the UK has, by global standards, a relatively high life expectancy, the country still suffers vast inequalities in mortality.
-While there have been studies on trends in subnational life expectancy in England, these have been limited in resolution to the district level [@bennettFutureLifeExpectancy2015].
+While there have been subnational studies on trends in life expectancy in England, these have been limited in resolution to the district level [@bennettFutureLifeExpectancy2015].
 There is vast heterogeneity in health outcomes and their determinants within districts.
 As a notable example of mortality from recent years, Kensington and Chelsea, which contains both the most affluent areas in the country in its south and some of the poorest in its north, was the district containing the Grenfell Tower tragedy in 2017.
 There is a clear need to uncover further variation in mortality below the district level.
@@ -21,11 +21,11 @@ There are two specific objectives which will help achieve this aim:
 
 ## Structure of the thesis
 
-@sec-Chapter2 reviews the literature on spatial methods for mapping disease and mortality for small subnational regions, followed by the literature of separating total mortality into different causes of death
+@sec-Chapter2 reviews the literature on spatial methods for mapping disease and mortality for small subnational regions, followed by the literature of separating total mortality into different causes of death.
 I will then explore inequalities in UK over the past few decades through to the present.
 @sec-Chapter3 presents the data sources, and @sec-Chapter4 the statistical modelling choices common to all objectives of this thesis.
 @sec-Chapter5 concerns the first objective of the thesis - estimating trends in life expectancy for very small areas in England.
 @sec-Chapter6 extends the first objective by focussing on London at a finer scale than the previous chapter as an attempt to gauge whether higher resolution analyses are possible.
-@sec-Chapter7 addresses objective two of this thesis, breaking down total mortality in England into specific causes of deaths at a coarser scale, and looking at potential drivers for the observed trends in life expectancy.
+@sec-Chapter7 addresses objective two of this thesis, breaking down total mortality in England into specific causes of deaths at a coarser scale, and looking at potential drivers of the observed trends in life expectancy.
 @sec-Chapter8 follows the methods of @sec-Chapter7, but focussing only on deaths from cancers.
 @sec-Chapter9 concludes with a discussion on the public health implications of the findings and areas for future research building on the work in this thesis.