https://padlet.com/rkassem2/pexgwxhrwh3k en-us 2018-09-18 07:08:00 UTC 2025-10-20 07:13:10 UTC hello@padlet.com rkassem2 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282732704 2018-09-18 07:10:11 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282732704 rkassem2 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282732946 2018-09-18 07:10:59 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282732946 rkassem2 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282733069 2018-09-18 07:11:21 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282733069 rkassem2 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282733097 2018-09-18 07:11:29 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282733097 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282770814 Higher rates of depression are commonly found in LEDCs (low economically developed countries). 
Adding on, HEDC's (high economically developed countries) that have stricter governments have a higher rate of diagnosed clinical depression. Adding on, HEDC's have common trends of bullying, stress from work as well as family issues.

The reliability of this source can be questioned due to the graph only showing the percentage of diagnosed clinically depressed and does not take into consideration of non diagnosed depressed people. The addition of this data would affect the graph drastically affect the graph by increasing each percentage.

]]> 2018-09-18 09:04:48 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282770814 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282771876 The graph looks at evaluating the deaths (in millions) caused by certain selected infectious diseases in Sub Saharan Africa, South East Asia, Europe, Middle East, Americas, East Asia and Global amounts. Each disease is allocated a different colour and represented in a bar graph. Diseases evaluated are Neglected tropical diseases, diarrhoea, vaccine preventable diseases, malaria, tuberculosis, and AIDS. 

The disease analysed were ones can be spread through contact, contamination of water and air,  ones that do not have enough substantial research about them and diseases that can be prevented. 

The X-axis presents the region in which the disease has affected and the Y axis represents the number of people (in millions) that have died due to respective diseases. 

Sub Saharan Africa is the most affected region with regards to all diseases. AIDS and Diarrhoea have affected the region the most with approximately 1600 million deaths and 1000 million deaths respectively. 

Europe and the Americas are the least affected region with less than 100 million deaths each. 

South and Southeast Asia is mainly exposed to Diarrhoea, while East Asia/Pacific was mainly victim to Tuberculosis. ]]> 2018-09-18 09:07:56 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282771876 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282772223 The graph shows the trend of the Infectious diseases. Sub-Sharan Africa was exposed to the highest rate of infectious disease, as the country is under-developed and economically unstable, this means that the regions do not have the right types of medicines or vaccines to eradicate the disease. Another factor is that the region is densely populated, hence, allowing more people to get exposed to the disease and thus causing the death rate to rise. Another aspect of the disease spreading through Africa is the amount of people that got vaccinated; this could be due to the lack of education provided to the people. 
Regions like Europe are highly economically developed thus showing in the graph that they are immune to many diseases due to the amount of people that have got vaccines which allows it to reduce the disease in the region.]]> 2018-09-18 09:09:00 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282772223 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282772236 Overall purpose of these graphs is to observe trends in mortalities from lung cancer in selected countries per 100,000 (standardised by age)
The disease studied in the graph is lung cancer, which is mainly lifestyle or behavioural based but is also inheritable / genetic (lymphoma and leukaemia). 

]]> 2018-09-18 09:09:03 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282772236 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282772959 Costa Rica had the minimum amount of deaths per 100,000 for both males and females. 
For men, deaths in Europe went down gradually as the years progressed.
For women, deaths in Europe went up as the years progressed.
Male deaths in the USA, NZ, Canada, and Australia started off at very similar points --> near 50. 
NZ and Australia are very similar in their trends, as are Canada and USA. 
Male deaths decrease/ stay the same throughout Israel, Japan, Republic of Korea and Singapore. 
Costa Rica and Columbia have lowest deaths. 
Females have lower death rates than males in Israel, Japan, Korea and Singapore. 
European countries have the highest death rates. 
Generally, men death rates started high and decreased, whereas female death rates started low and increased throughout the years. ]]> 2018-09-18 09:11:20 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282772959 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282774456 2018-09-18 09:15:07 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282774456 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282775145 2018-09-18 09:16:55 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282775145 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282779064 Globally, the trends show that the the most deadly infectious diseases are diarrhea and AIDs. ]]> 2018-09-18 09:28:12 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282779064 https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282779184 The main factor highlighted from the data in Figure 5.28 is to economic status of each country.

Another factor is the social aspect of each country. This is because how people treat each other affects their mental state ]]> 2018-09-18 09:28:30 UTC https://padlet.com/rkassem2/pexgwxhrwh3k/wish/282779184