THE NAME, THE OFFICE AND THE TITLE OF JESUS CHRIST.pptx

PART ONE: OUR LORD JESUS CHRIST
1. THE NAME OF JESUS
Jesus was a popular name for new baby boys at the time Mary had a son,
but within a few decades it became virtually unused because it was special
to Christians. Still today it is the sweetest of our Lord's names because it is
His personal name.
2. THE TITLE “LORD”
When people addressed Jesus as Lord in the New Testament, that title
demonstrated an attitude of either respect or reverence. But in the early
church, Christians were martyred because they affirmed "Jesus is Lord. "
To there "Lord" meant only one thing - Jesus was the Jehovah of the Old
Testament.
3. THE OFFICE OF CHRIST
Throughout the pages of the Old Testament, the prophets wrote of a
coming Messiah who functioned as prophet, priest, and king. The name
"Christ" meant "anointed." He was anointed to that office. But He was
more than that! Paul revered this office and made it his favorite name of
Jesus and the foundation to the Christian's position in grace.
PART TWO: GROUPINGS OF THE NAMES
OF JESUS CHRIST
4. THE OLD TESTAMENT PROPHETIC NAMES OF JESUS
Hidden in the pages of law, history, poetry, and prophecy is a myriad of
names and titles of Jesus. He is revealed in every book by type and
teaching. Among the many Old Testament prophetic names of Jesus are
Shiloh, the Prophet,
the Branch, the Desire of all Nations, the Ensign for the Peoples, and El
Shaddai.
5. THE SALVATIONAL NAMES OF JESUS
Many of the names of Jesus reveal aspects of His principal work of
redeeming the lost. Some of them focus upon His work and, therefore, He
is the Redeemer, Saviour, and Mediator. Others call attention primarily to
His Person; as such, Jesus is the Lamb of God and the Propitiation for our
sins. Still others reveal the mystery of the One who both produces
salvation and is Himself our salvation. In this regard, He is the Last Adam,
the Second Man, and the Author of Eternal Salvation.
6. THE BIRTH NAMES OF CHRIST
When it comes to naming babies, it seems everybody has some suggestion
about a name. It was no different with Jesus. Hundreds of years before He
was born, people began calling the Christ child by a variety of names. By
the time He was born, He had been called the Dayspring from on High, expectations and they said they are not going to be able to get the job done and they have to be in touch with moral issues with moral problems and I don't think so I don't want to go to work and you can get a skill of it and I can find something to do it and I will get it from you and the total is a skill of it will you are a skill of it and you can always do the first one and you have the same one with you are a good person and I don't mind it will be the only reason I don't know what I want to do it and I don't know what to do it and I don't know what to do it and I don't know what to do it and I don't know what to do but it's not sufsexually butter and butter and bread and beans and chips for the weekend and I do not dos

1. T H E N A ME S , T H E O F F I CE S , A N D T H E T I TLE S O F J E SUS 🔹 የ ኢ የ ሱ ስ ክርስቶስ ስ ም ፥ ቢ ሮ ና ፥ ማ ዕ ረ ግ ራእይ 3 ፥ 14፤ " . . . . . ፡— አሜን የሆነው፥ የታመነውና እውነተኛው ምስክር፥ በእግዚአብሔርም ፍጥረት መጀመሪያ የነበረው . . . " 4th year HO 1 6/28/2024

2. የ ቀ ጠ ለ . . . የ ኢ የ ሱ ስ ስ ሞ ች 6/28/2024 4th year HO 2

3. የ ቀ ጠ ለ . . . የ ኢ የ ሱ ስ ክርስቶስ የ አ ገ ል ግ ሎ ት ቢ ሮ ዎ ች የ ጌ ታ ች ን የኢየሱስ ክርስቶስ የ እ ገ ል ግ ሎ ት ቢ ሮ ዎ ች ሦ ስ ት ናቸው ። እ ነ ር ሱ ም ፦ ክ ህ ነ ት ፥ ነ ቢ ይ ነ ት ና ን ጉ ሥ ነ ት ና ቸ ው ። ኢ የ ሱ ስ ክርስቶስ በ እ ነ ዚህ ሦ ስ ት የ አ ገ ል ግ ሎ ት ቢሮዎች አ ገ ል ግ ሏ ል ። 6/28/2024 4th year HO 3

4. Conti…. Malaria prevention strategies in Ethiopia are vector control (epidemiological surveillance, insecticide treated net (ITN), indoor residual spraying (IRS)), diagnosis and drug-based prevention and treatment, and crucial support systems (initiative Ethiopian malaria operational plan FY 2020). 4th year HO 4 6/28/2024

5. Statement of problem Around 3.3 billion individuals world wide are at risk of contracting malaria and developing the disease, with 1.2 billion of them at high risk, according to WHO report in 2019, around 229 and in 2018 there were 228 million new cases of malaria, 94% of these cases were in Africa region. 4th year HO 5 6/28/2024

6. Cont… As malaria remains the most common communicable disease seen in Ethiopian health institutions, to improve the disease control program in malaria-endemic areas of the country, an integrated power that includes communities with their knowledge and practice is required (Federal Ministry of health 2010 ) . 4th year HO 6 6/28/2024

7. Cont’d Many problems face Ethiopia’s ongoing malaria control measures, including under-utilization of intervention, lack of sufficient and high quality data, gaps in service delivery and health system inadequacies, and low community awareness toward malaria and insecticide-treated nets (ITN ) ( Presedent M. Ethiopia Malaria Operational Plan FY 2019 ). 6/28/2024 4th year HO 7

8. Cont’d Individuals' preferences and decisions about the adoption of preventive and control measures vary from community to community and among individual households' understanding of possible causes, 3 modes of transmission, and individual preferences and decisions about the adoption of preventive and control measures ( Soleimani A et al.,2014). 6/28/2024 4th year HO 8

9. Cont… In the Southern Nation Nationalities and People Region (SNNPR), which includes the regional states of Ethiopia, malaria's the main public health concern. More than 65% of the area in this region is malarious, according to epidemiological and ecological data (Tamari T, Bondarev D. 2013). 4th year HO 9 6/28/2024

10. Significance of study T he study on the prevention practice of malaria among peoples, who live in Dilla town is important to develop Knowledge, Attitude and prevention Practice of malaria infections and to minimize transmission of malaria disease. 4th year HO 10 6/28/2024

11. cont… The information gained from this study was provide valuable information on the pattern of distribution and associated factors of malaria for early management of the disease and provide direction for setting new goals in developing preventive strategy in malaria diseases. 6/28/2024 4th year HO 11

12. Conceptual Framework 6/28/2024 4th year HO 12 M a t e r n al r e l a t ed f a c t o rs ፦ M a t e r nal k n owledge , a t t i tude and p r a c tice Socio-economic factor : incom e level , occupation Obstetric factors፦
Gravidity , Parity socio-demographic factor : age, sex, marital status, educational status. S T I Fig-1-conceptual framework developed by reviewing different literatures to assess the practice of malaria prevention in sessa kebele . ( Abate A-2013, Musoke D-2015, Shegen SM-2016, Aragie T-2020).

13. Objective General objective To assess malaria prevention practice and Associated Factors in sessa kebele, dilla town, Gedeo Zone, SNNPR, Ethiopia, 2024. Specific Objectives To assess malaria prevention practice in sessa kebele, dilla town , Gedeo Zone, SNNPR, Ethiopia 2024. To assess Factor affecting malaria prevention practice in sessa kebele, dilla town Gedeo Zone, SNNPR, Ethiopia 2024. 4th year HO 13 6/28/2024

14. METHODS AND MATERIALS Study area and period The study was conducted in sessa kebele dilla town, gedeo zone, SNNPR, from April 05 to 06/ 08/2016 E.C . Dilla is located 360 km away from the capital city of Ethiopia, Addis Ababa and 90 Km away from Hawassa which is capital city of SNNP . Dilla is also capital city of Gedeo Zone . total population of sessa kebele is 27,500 4th year HO 14 6/28/2024

15. CONT… Study Design Community based cross sectional study design was conducted. Source of population All households in sessa kebele Study Population All selected households in sessa kebele during study period Study Unit Eligible ≥ 18 years old HH member 4th year HO 15 6/28/2024

16. Eligibility Criteria Inclusion Criteria All household members who live in the community and those age 18 and above were included. Exclusion Criteria Critically ill house hold members and unable to communicate. 4th year HO 16 6/28/2024

17. Sampling Technique and Sample size determination Sampling Technique Systematic sampling technique was used Sample size determination Sample size was determined by using single population proportion formula . 4th year HO 17 6/28/2024

18. Cont’d = (1.96)2(0.54)(0.46) (0.05)2 n=382 With 10% non-response rate the final sample size became 420 p=54.3%,taken from similar study conducted in Hawassa city( Fikrie A.et al,2020 ) Taking 5% margin of error (E) At 95% of Confidence level 6/28/2024 4th year HO 18

19. Cont’d 6/28/2024 4th year HO 19

20. Cont’d We took the highest sample size from knowledge ,attitude and practice. The one we calculated using good practice prevalence that is 420. 6/28/2024 4th year HO 20

21. Sampling Technique and procedure From a total of sessa kebele population with three ketenas, the sample size was proportionally allocated according to their household number. Study participants were chosen using a systematic random sampling technique by determining the sampling interval (K) value for the sessa kebele via dividing total households by calculated sample size. 4th year HO 21 6/28/2024

22. CONT …   4th year HO 22 6/28/2024

23. Data collection instruments & procedures The data for this study was collected using interviewer administer structure questionnaire adapted from different study and modified to local context. I t was first prepared in English and then translated to Amharic. 4th year HO 23 6/28/2024

24. Data quality assurance To assure the data quality, the data collection tool was pre tested on 5% of the study population at neighbor kebele to check its clarity, and data collection method, and the significance of the study. Collected data was checked for completeness and on the spot corrective measures were taken by data collectors and supervisor. 4th year HO 24 6/28/2024

25. Methods of data processing and analysis After checking for completeness, the data was entered using SPSS 27 th version for analysis. Descriptive statistics were computed to determine frequencies and summary statistics (mean, standard deviation, and percentage) to describe the study population in relation to socio-demographic and other relevant variables. 4th year HO 25 6/28/2024

26. CONT… All variable with p-value ≤ 0.25 during bi variable logistic regression analysis were candidate to multiviable logistic analysis. Finally , variables in the multi variable logistic regression analysis with a p value ≤ 0.05 was considered as significantly associated with the outcome variables. 4th year HO 26 6/28/2024

27. Study Variables Dependent variables malaria prevention practice Independent Variables Socio demographic factors Socio economic factors Knowledge related factors Attitude related factors 4th year HO 27 6/28/2024

28. Operational Definition G ood knowledge :- Participants who answered ≥ 50 % of correct answers among the total knowledge related questions were classified as having a good knowledge Poor knowledge :- participants who answered <50% of the questions were classified as having poor knowledge( Girum T.et al.,2017 ). 4th year HO 28 6/28/2024

29. Conti… Positive attitude :- Participants who answered ≥50 % of correct answers among the total attitude related questions were classified as having a positive attitude . Girum T.et al.,2017 ) . Negative attitude :- participants who answered <50% of questions were classified as having negative attitude ( Girum T.et al., 2017 ) . 4th year HO 29 6/28/2024

30. Conti… Good Practice :- Participants who answered ≥50 % of correct answers among the total malaria prevention practice related questions were classified as having a good practice. ( Girum T.et al.,2017 ). Poor practice :- participants who answered <50% of the questions were classified as having poor practice ( Girum T.et al., 2017 ). 4th year HO 30 6/28/2024

31. Ethical consideration Formal letter from Dilla University College of medicine and health science CBE office was obtained verbal consent were taken from each respondent, 4th year HO 31 6/28/2024

32. Results socio-demographic characteristics of study participants In this study a total of 410 participants were participated yielding a response rate of 97.6 % and 190 (46.3%) of study participants were female. 6/28/2024 4th year HO 32

33. Cont’d The mean age of study participants were 43.03 ± 17 years The most,256(62.4%) study participants were married More than half respondents, 217 (52.9%) had more than 4 family members. 6/28/2024 4th year HO 33

34. Cont… Knowledge about malaria prevention among study participants From the total participants 217 (52.9%) knew the cause of malaria. The majority, 281(68.5%) of the participants did not knew the common breeding site s for the mosquito. 246(60%) were responds that did not knew the best prevention method of malaria and 185(45.1%) of them knew the advantage of mosquito net. 6/28/2024 4th year HO 34

35. Cont…. Over all 226(55.1%) of the respondents had poor knowledge towards malaria causes, transmission, sign and symptoms and prevention measures. Attitude towards malaria prevention and control among households Majorityof the respondents perceived that Malaria is a life-threatening disease. 6/28/2024 4th year HO 35

36. Cont… The majority, 281 (68.5%) of respondents believed that sleeping under a mosquito net is one of the methods of malaria prevention. Over all attitude of the respondent showed that, more than half the respondents 270(65.9%)of the participants had poor attitudes towards the natures of malaria. 6/28/2024 4th year HO 36

37. Cont… Practice of malaria prevention and control among households In this study 271(66.1% ) of study participants have poor malaria prevention practice . From the total study participants 35(8.5%) use mosquito repellents,25(6.1%) use anti-mosquito spray and 36(8.8%) sprayed with anti-mosquito chemical spray (IRS). 6/28/2024 4th year HO 37

38. Cont… Regarding to the handling of the ITNs,86 (21%) and 96 (23.4%) were always practice clean/cut bushes and clean stagnant water near their house, respectively. Among all households,37(9%) were participated in malaria prevention campaigns. 6/28/2024 4th year HO 38

39. Cont… Determinants factor of malaria prevention practice In bi variable logistic regression analysis factors like, the family size, occupation, income, knowledge and attitude of the respondents were candidate variable for multivariable logistic regression analysis (i.e., p- value <0.25). 6/28/2024 4th year HO 39

40. Cont’d However, after multi-variable logistic regression analysis income, occupation and knowledge of respondents were maintain their significant association with malaria prevention practice( i.e , p-value<0.05) . 6/28/2024 4th year HO 40

41. Table 1; Bi-variable and multivariable logistic regression analysis for malaria prevention practice and associated factors among households in Sessa kebele, Dilla town, South Ethiopia, 2024 . 6/28/2024 4th year HO 41 Variable(n=410) Variable(n=410) Malaria prevention practice Malaria prevention practice Malaria prevention practice Malaria prevention practice Malaria prevention practice Malaria prevention practice Malaria prevention practice Malaria prevention practice Poor Poor Good No No No COR(95% CI) COR(95% CI) AOR(95%CI) AOR(95%CI) P-value Occupation Occupation Occupation Occupation Occupation Occupation Occupation Occupation Occupation House wife 45 45 18 0.462(0.221-0.968) 0.462(0.221-0.968) 2.162(1.033-4.526) 2.162(1.033-4.526) 0.038 Farmer 37 37 17 0.616(0.29-1.309) 0.616(0.29-1.309) 1.623(0.764-3.448) 1.623(0.764-3.448) 0.186 Employee 144 144 70 0.691(0.399-1.197) 0.691(0.399-1.197) 1.45(0.836-2.504) 1.45(0.836-2.504) 0.175 Student 45 45 34 1 1 1 1 Income Income <3000 86 86 58 1.639 (0.795-3.378) 1.639 (0.795-3.378) 0.610(0.296-1.258) 0.610(0.296-1.258) 0.023 3000-6000 134 134 63 1.14(0.586-2.89) 1.14(0.586-2.89) 0.877(0.437-1.762) 0.877(0.437-1.762) 0.651 6001-9000 16 16 3 0.486(0.121-1.961) 0.486(0.121-1.961) 2.057(0.51-8.298) 2.057(0.51-8.298) 0.297 >9000 35 35 15 1 1 1 1 Knowledge about malaria Knowledge about malaria Poor 140 140 86 1.539(1-2.369) 1.539(1-2.369) 0.50(0.422-1.00) 0.50(0.422-1.00) 0.043 Good 131 131 53 1 1 1 1 Attitude towards malaria Attitude towards malaria Poor 176 176 94 1.149(0.732-1.802) 1.149(0.732-1.802) 0.871(0.555-1.366) 0.871(0.555-1.366) Good 95 95 45 1 1 Family size Family size 1-3 71 71 31 2.284(0.844-6.186) 2.284(0.844-6.186) 0.438(0.162-1.85) 0.438(0.162-1.85) 4-6 140 140 77 2.826(1.108-7.213) 2.826(1.108-7.213) 0.354(0.129-0.902) 0.354(0.129-0.902) 7-10 30 30 25 3.641(1.288-10.289) 3.641(1.288-10.289) 0.275(0.097-0.776) 0.275(0.097-0.776) >10 >10 >10 30 6 1

42. Discussion The study was conducted to assess malaria prevention practice and its associated factors in Sessa kebele dilla town. One of the practice and prevention mechanisms related to communities' understanding of malaria is the use of ITNs, drainage of stagnant water, home spray/application of repellent, and health care seeking as designed by the government. 6/28/2024 4th year HO 42

43. Cont… The finding of this study showed that 66.1% of the total study participants were poor malaria prevention practice. This finding was higher than the finding of the study conducted in Hawassa City, Wolaita Zone and Gurage zone(45.7%, 32.3%, 38%)respectively.( Fikrie A.et al,2020,Arage TB,2019 ). 6/28/2024 4th year HO 43

44. Cont’d These variations may be due to Socio-demographic factors, government intervention and awareness creation difference and the respondent sample size included under the study . 6/28/2024 4th year HO 44

45. Cont… Only 42.7% households in this study sometimes sprayed by anti-mosquito spray, which is lower than other reports in north eastern Ethiopia Shewa Robit town, which is 78.9%( Abate A ,et al 2013). However, this is higher than study done in the Hawassa city administration whose 33.7% of households sometimes sprayed by IRS( Fikrie A.et al,2020) 6/28/2024 4th year HO 45

46. Cont’d Around 23.4% of the study participants were actively participated in drainage of stagnant water and 22.4% cleaning bushes surrounding their house. This is a little bit lower than the study in Southern region,but greater than study done in Tanzania and Uganda( Diema Konlan et al 2019 ) 6/28/2024 4th year HO 46

47. Cont… Study participants who are house wife is 2.162 times more likely than employees to use malaria prevention practice [AOR = 2.162 (CI: 1.033-4.526 ]. The study respondents who had good knowledge about malaria were 0.50 times less likely to have poor malaria prevention practice than participants who had poor knowledge about malaria [AOR=0.50, 95% cl , (0.422 -1.00)]. 6/28/2024 4th year HO 47

48. Conclusion The overall poor malaria prevention practice of the study participants was found to be 66.1 %. Occupation , household income and knowledge about malaria were factors associated with malaria prevention practices. 6/28/2024 4th year HO 48

49. Recommendation For community The community should participate in activities carried out in eradication of mosquito breding site. They should participate in promotion of malaria prevention and control measures. For health extension workers They should establish locality threshold and monitor epidemics. They should provide malaria case management based on national guideline . 6/28/2024 4th year HO 49

50. Cont’d They should implement vector control intervention They should notify malaria situation of the locality on regular basis to responsible body. They take part in post epidemic evaluation For woreda health office Develop an epidemic preparedness plan for the catchment area Coordinate malaria epidemic prevention and control activities. 6/28/2024 4th year HO 50

51. Cont’d Support health extension workers in establishing a locality threshold to monitor malaria epidemics For regional health bureau Monitor and evaluate disease management Provide follow up on meterological forecast Promote inter-sectoral collaboration and the involvement of governmental,NGOs and international organizations in control of malaria . 6/28/2024 4th year HO 51

52. Limitation of the study The study design was cross sectional which measure the exposure and outcome simultaneously but cannot measure cause and effect relationship. The presence of social desirability bias which may overestimate or underestimate the results of malaria prevention practice. 6/28/2024 4th year HO 52

53. Acknowledgement We would like to express our deepest gratitude to the CBE coordinating office of Dilla University for organizing this opportunity, so that we may get fortune practice our community knowledge. This gave us a remarkable experience on how to identify community problems. Our best gratitude an depreciation also goes to our immediate supervisor Mahilet. B(BSc,MPH) further guidance ,assistance, and encouragement on developing this thesis. 6/28/2024 4th year HO 53

54. REFERENCES G MP/WHO. World malaria report 2019. p. 2. WHO Regional Office for Africa. 2019. 1–232 p. Fikrie A, Kayamo M, Bekele H. Malaria prevention practices and associated factors among households of Hawassa City Administration, Southern Ethiopia, 2020. PLoS One [Internet]. 2021;16(5 May):1–12. Available from: http://dx.doi.org/10.1371/journal.pone.0250981 GMP/WHO. WHO, World malaria report 2019. WHO Regional Office for Africa. 2019. 1–232 p. Ome-kaius M, Kattenberg JH, Zaloumis S, Siba M, Kiniboro B, Jally S, et al. Differential impact of malaria control interventions on P . falciparum and P . vivax infections in young Papua New Guinean children. 2019;1–13. WHO. Global technical strategy for malaria 2016-2030. World Heal Organ [Internet]. 2015;1–35. Available from: http://apps.who.int/iris/bitstream/10665/176712/1/9789241564991_eng.pdf?ua=1 Choi L, McIntyre S, urnival -Adams J. Indoor residual spraying for preventing malaria. Cochrane Database Syst Rev. 2019;2019(3). 4th year HO 54 6/28/2024

55. Conti… Hou SI. Health Education: Theoretical Concepts, Effective Strategies and Core Competencies. Vol. 15, Health Promotion Practice. 2014. 619–621 p. CDC. U . S . Presedent malaria intitiative ethiopia malaria Operational Plan FY 2020. 2020;1–107. Https://www.who.int/teams/global-malaria-programme/reports/world-malaria-report-2020. WHO, https://www.who.int/teams/global-malaria-programme/reports/worldmalaria-report-2020 [Internet]. Vol. 73, Who. 2020. 18–24 p. Available from:https :// www.who.int /teams/global-malaria- programme /reports/world-malaria-report-2020   Intiative P ( Presedent M. Ethiopia Malaria Operational Plan FY 2019- President’s Mlaria . 2019;1–71.   B G, Y N. Severe malaria among children in Gambella western Ethiopia. Ethiop J Heal  Dev. 1969;16(1):61–70.   Rates of Malaria-related Illnesses and Deaths [Internet]. Vol. 1. 2019. Available from:  https://pmivectorlink.org/2019/02/27/ethiopia-sees-dramatic-reduction-in-malaria-in-irsregion/ 4th year HO 55 6/28/2024

56. T H A N K Y O U !!!!! 6/28/2024 4th year HO 56