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\title{Knowledge of Floating Population on Fearfulness of HIV/AIDS: A Case Study of Three Metropolitan Cities in Bangladesh}
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             \author[1]{Dr. Prosannajid  Sarkar}

             \author[2]{Dr. Chanchal Kumer  Mondal}

             \author[3]{Dr. Md. Abu  Hanifa}

             \author[4]{Md.  Abdullah-Al-Faruk}

             \author[5]{Mehjabin  Elahi}

             \affil[1]{  Begum Rokeya University, Rangpur, Rangpur-5400, Bangladesh}

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\date{\small \em Received: 6 December 2015 Accepted: 5 January 2016 Published: 15 January 2016}

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\begin{abstract}
        


This study has used mainly primary data and information collected from the survey of 300 floating population with the help of an interview schedule through quota-sampling technique has also been used in this study. To have performed the analysis Multiple Binary Logistic Regression Models along with as usual descriptive statistical tools and techniques have been applied in the study. The study revealed that 92 percent floating respondents had heard the name of HIV/AIDS but 52 percent floating respondents did not know the fearfulness of HIV/AIDS. TV (29%) was the most dominate source of hearing about HIV/AIDS. Respondents also knew that using condom during intercourse was only the safety way to avoid HIV/AIDS. It was expected that the result of this study will play a vital role to reassess the national population policy in line with the prevention of HIV/AIDS in Bangladesh and will help policy makers to formulate better policies in order to fight against the current situation. However, there was a real need for more and more studies on this regards. Thus, necessary action was to be taken to reduce the level of HIV/AIDS in the country in order to achieve better living conditions in future.

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\keywords{knowledge, HIV/AIDS, floating population and bangladesh.}

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\let\tabcellsep& 	 	 		 
\section[{I. Introduction}]{I. Introduction}\par
cquired Immune Deficiency Syndrome (AIDS) was caused by the Human Immunodeficiency Virus (HIV). It weakens the immune system and makes the body susceptible to and unable to recover from other opportunistic diseases. Consequently it was one of the main causes of death of human being and world wide wreaking devastation on millions of population communities. AIDS was the late clinical stage of infection with the HIV. The virus was generally transmitted through sexual contact, infected women to their unborn children, or through contaminated needles (infections) or blood \hyperref[b0]{[1]}. It poses a serious challenge to human kind and at present AIDS/HIV has increasingly become a major public-health concern in many developing countries like Bangladesh \hyperref[b1]{[2]}. According to Huda et al. report and recent UNAIDS  {\ref [3]}\hyperref[b3]{[4]}\hyperref[b4]{[5]}\hyperref[b5]{[6]} statistics on the global AIDS epidemic estimates that globally, 34.0 million (31.4 million -35.9 million) population were living with HIV at the end of 2011. It also asserts that an estimated 0.8\% of adults aged 15 -49 years worldwide were living with HIV \hyperref[b3]{[4]}\hyperref[b4]{[5]}. Bangladesh was geographically vulnerable to HIV/AIDS due to its close proximity to India, Myanmar, Nepal, and Thailand having various degrees of the epidemic \hyperref[b6]{[7]}. In 2011 the National AIDS and STD Program (NASP) in Bangladesh informed that there were 445 newly reported cases of HIV and 251 new AIDS cases, out of which 84 population had died  {\ref [8]}. Thus, the cumulative number of reported HIV cases to date in Bangladesh stands at 2533, AIDS cases at 1101 and death toll at 3258 \hyperref[b4]{[5]}. HIV/AIDS also has become national concern in Bangladesh and the government has already developed a national strategy and an operational plan to address the countries needs \hyperref[b5]{[6]}. But Bangladesh Govt. has no special plan about floating population regarding HIV/AIDS issues. Floating population means a group of population who frequently move from place to place that was not permanently resident in a place \hyperref[b8]{[9]}. In Bangladesh, there were many floating population live under the poverty line, and floating women forms a large and vulnerable group suffering from high level of economic insecurity, and there were great socioeconomic variations within the floating population which make the care for the floating more complex and challenging. This situation throws the floating population, particularly the slum area population of the poor families into large-scale economic insecurity. Most of the time, we draw a conclusion that these population were involved in all types of anti-social activities like drug peddling, snatching and theft. In fact, many of them were indirectly contributing a lot to our city life. They were the population who collect waste, work as( D D D D ) F\par
construction laborers, sell vegetables, and pull rickshaw or van. Their exact number was not known. However, since migration from rural to urban areas continues rapidly, this number was likely to grow in the coming days. Lack of opportunities in the rural areas and their lack of willingness to work in rural areas force this population to come to the city. It was very much necessary to deal with this problem besides many other problems of the city like traffic congestion, environment pollution, potholed roads, and water logging etc. Beside they were suffering from various diseases like HIV/AIDS. To meet the targets and goals of AIDS prevention and control, there was a strong need to assess the current levels of specific knowledge about AIDS transmission and prevention by various residence and other key socio-demographic factors. In this context, the study was conduct on knowledge level of floating population on HIV/AIDS in some selected areas of Bangladesh. 
\section[{II. Objective of the Study}]{II. Objective of the Study}\par
The present study focuses on-1. To assess the knowledge level of Bangladeshi floating population about HIV/AIDS; 2. To determine the knowledge levels of Bangladeshi floating population about fearfulness of HIV/AIDS; 3. To identify the socio-demographic factors related to knowledge about the fearfulness of HIV/AIDS; 4. To investigate the factors related to knowledge about the HIV/AIDS prevention; 
\section[{III. Data Sources and Methodology}]{III. Data Sources and Methodology}\par
The present study interviewed 300 floating respondents consisting of 227 males and 73 females to have collected primary cross-section data from three metropolitan cities (Dhaka, Rajshahi and Chittagong) of Bangladesh in details Table \hyperref[tab_0]{1}. The study applies quotasampling technique to collect necessary data because poor population of metropolitan areas moves one place to another for their daily work. Another reason to apply quota-sampling technique was that floating population was not stable for long time in a place. Due to unavailability of floating respondents regarding HIV/AIDS issues this study took under consideration 300 floating residents' data from three metropolitan city corporations. The pieces of information were collected on the basis of structured question from floating population. Only 18 and over aged person's concepts about HIV/AIDS knowledge were accepted in this study. The total numbers of respondents (300) were floating respondents and interviewed during 1 st October to 20 th December, 2008.\par
The distributions of sample were given below:  
\section[{IV. Methodology}]{IV. Methodology}\par
To have performed the analysis on the data sets and derived the findings, Multiple Binary Logistic Regression Models along with as usual descriptive statistical tools and techniques have been applied in the study. 
\section[{a) Measurement of fearfulness}]{a) Measurement of fearfulness}\par
Here, fearfulness means knowledge level of floating population about HIV/AIDS issues. For measurement of fearfulness, it considered five questions from all questionnaires. If he/she answered correct five questions regarding HIV/AIDS issue then they had knowledge of fearfulness about HIV/AIDS, otherwise they had no idea about fearfulness of HIV/AIIDS. 
\section[{V. Resultes and Discusion a) Socio-economic characteristics of floating population}]{V. Resultes and Discusion a) Socio-economic characteristics of floating population}\par
Socio-economic and demographic characteristics of the study population were essential for interpretation of collected data and examination of any cause-effect relationship among different variables. Some table provides the descriptive summary of some selected socio-economic and demographic characteristics of the study population. From Table \hyperref[tab_1]{2} we observed that the majority (54\%) of the respondents in floating category were in age 38 years. The professional characteristics were the subject matter analysis which influences the socio-economic performance and identification of issue of HIV/AIDS in Bangladesh. Table \hyperref[tab_1]{2} presents in floating category majority of the respondents (33.7\%) occupation were day labor. We also observed that floating married respondents contain a significantly higher percentage.    The role of sources information about AIDS was alarm the public knowledge. The public should be reassured that HIV/AIDS was not a dangerous disease as long as the appropriate prevention measures taken. Table \hyperref[tab_2]{3} showed that 94\% floating respondents heard the name of HIV/AIDS by various sources of media but 53\% floating didn't know the fearfulness of HIV/AIDS. Also use of mass media could also be a successful strategy in reaching different population with information on HIV/AIDS, particularly those who were living in floating area. TV was the most dominate source of hearing about HIV/AIDS for floating respondents. Most of the respondents (48.3\%) were known sex worker as the riskYear 2016 ( D D D D ) F\par
population of HIV/AIDS. Most of the floating respondents were known HIV/AIDS as transmitted diseases. Once more, 27.3\% floating respondents think sharing needles, razors/blades was the main source of HIV/AIDS spread of HIV/AIDS. Now a day, condom has been considered as popular methods of HIV/AIDS protection. When respondents were asked how way to avoid HIV/AIDS virus, it seems that they want to rely on personal opinion about way to reducing HIV/AIDS. Table \hyperref[tab_2]{3} pointed that more than 22 percent of floating respondents mention that by using condom during intercourse was the highest way to reduce HIV/AIDS. We also found from figure 2 that 29 percent floating population didn't talk to spouse about preventing of AIDS.   
\section[{c) Determine knowledge of fearfulness about HIV/AIDS by Logistic Regression Analysis}]{c) Determine knowledge of fearfulness about HIV/AIDS by Logistic Regression Analysis}\par
The main focus was to determine knowledge of HIV/AIDS by logistic regression analysis. Keeping this reality in mind we have used logistic regression model. 
\section[{Results of Logistic Regression Analysis:}]{Results of Logistic Regression Analysis:}\par
Multiple logistic regression analysis was conducted to assess the knowledge of fearfulness about HIV/AIDS as dependent variable (0= if he/she didn't know the fearfulness about HIV/AIDS and 1= if he/she knew the fearfulness about HIV/AIDS) by some selected characteristics. There were many potential independent variables. Of all the potential independent variables we considered only those of the variables which gave significant result in empirical study and that were also suitable for theoretical purpose. Here the independent variables were age, marital status, educational qualification and occupation of the respondents.\par
The odds ratio estimates showed that floating respondents in Table \hyperref[tab_3]{4}, population of 30-39 years were 1.50 times more likely to had knowledge about the fearfulness of HIV/AIDS; population of 40-49 years and 50+ years were 0.891 and 0.805 times less likely to had knowledge about fearfulness of HIV/AIDS than the respondents of 18-29 years age group (reference group) respectively. Here, it was worth noting that all of the estimates were found insignificant. Similarly, the covariates of marital status and occupation have been found out to put insignificant impact on the response variable of the model. Further, the respondents having primary incomplete level of schooling and primary complete level of schooling were 2.332 and 3.771 times more likely to had knowledge about fearfulness of HIV/AIDS than the respondents having no education (reference group) respectively. The low educational level persons generally had a little bit more knowledge about the fearfulness of HIV/AIDS than illiterate persons.  Moreover, it was found out that the floating group of population, all the covariates except educational level had been observed to insignificantly impact the knowledge about the fearfulness of HIV/AIDS, the response variable. Therefore, to harness the level of knowledge about the fearfulness of HIV/AIDS of Bangladeshi population, proper policy implications regarding these issues deserve to be implemented for the prevention of the fatality of the killer disease AIDS. 
\section[{VI. Conclusion and Recommendation}]{VI. Conclusion and Recommendation}\par
HIV/AIDS and its potentially fatal impact on human beings have undoubtedly become an extremely topical issue now-a-days. The knowledge of HIV/AIDS in Bangladesh has long been a topic of interest to population research because of its apparent direct relationship with lack of health facilities and indirectly with the poverty. By running and interpreting the logistic regression analysis, this study showed that residence, education of respondents and prevention was the major factors/contributors of HIV/AIDS. At the significance level among the selected variables we have seen that more knowledge gathered on AIDS in floating population. This indicates that various socio-economic and demographic factors have played a crucial role in influencing HIV/AIDS in Bangladesh. Though it was difficult in poor setting Bangladesh, the regarding authority should take proper steps in improving the situation of education in rural areas as well as throughout the country. However, there was a real need for more in depth studies in this regard. Therefore, both government and NGO's program should strengthen care and support program may build up knowledge about AIDS and to provide the prevention through mass media by creating awareness to all population also. Thus, necessary action was called for to reduce the future level of HIV/AIDS in the country in order to achieve better living conditions in future. Therefore, there was an urgent need to develop interventions to address this gap in the current efforts to prevent a generalized HIV/AIDS epidemic in Bangladesh and fully use the window of opportunity provided by current low national HIV prevalence rates among the poor. 
\section[{VII. Acknowledgments}]{VII. Acknowledgments}\par
Primary Ph.D. research grant was received from the Social Science Research Council, Planning Division, Ministry of Planning, Bangladesh. Additional support was received from Department of Population Science and Human Resource Development, University of Rajshahi for awarded Ph.D. degree.\begin{figure}[htbp]
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  \begin{figure}[htbp]
\noindent\textbf{1} \par 
\begin{longtable}{P{0.28778026905829596\textwidth}P{0.05145739910313901\textwidth}P{0.1772421524663677\textwidth}P{0.05717488789237668\textwidth}P{0.21154708520179372\textwidth}P{0.05717488789237668\textwidth}P{0.007623318385650224\textwidth}}
\tabcellsep \tabcellsep \multicolumn{2}{l}{Division}\tabcellsep \tabcellsep \tabcellsep N\\
Dhaka\tabcellsep *Nos.\tabcellsep Rajshahi\tabcellsep *Nos.\tabcellsep Chittagong\tabcellsep *Nos.\\
Kamlapur\tabcellsep 16\tabcellsep Seroil\tabcellsep 10\tabcellsep Chittagong Station\tabcellsep 10\\
Demra\tabcellsep 10\tabcellsep Court\tabcellsep 10\tabcellsep Coxbazer\tabcellsep 10\\
Shahbag\tabcellsep 12\tabcellsep RU Station\tabcellsep 10\tabcellsep Ramu\tabcellsep 10\\
Sadarghat\tabcellsep 10\tabcellsep RU\tabcellsep 05\tabcellsep Uthia\tabcellsep 09\\
Tongi\tabcellsep 10\tabcellsep Alupathi\tabcellsep 10\tabcellsep Patenga\tabcellsep 11\\
Airport\tabcellsep 10\tabcellsep Padma Dam\tabcellsep 10\tabcellsep Coxbzer\tabcellsep 12\\
Gabtali\tabcellsep 07\tabcellsep Terminal\tabcellsep 10\tabcellsep Rangamathi\tabcellsep 08\\
Norsingdi\tabcellsep 05\tabcellsep Parbatipur\tabcellsep 10\tabcellsep Bibirhat\tabcellsep 10\\
Maymonsingh\tabcellsep 10\tabcellsep Rangpur\tabcellsep 10\tabcellsep Noakhali Station\tabcellsep 10\\
Jinjira\tabcellsep 05\tabcellsep Hili\tabcellsep 10\tabcellsep Sitakunda\tabcellsep 05\\
Airport\tabcellsep 05\tabcellsep Santaher\tabcellsep 05\tabcellsep Santirhat\tabcellsep 05\\
100\tabcellsep \tabcellsep \tabcellsep 100\tabcellsep \tabcellsep 100\tabcellsep 300\\
\multicolumn{5}{l}{*Nos. means the number of respondents, RU=Rajshahi University}\tabcellsep \end{longtable} \par
 
\caption{\label{tab_0}Table 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{2} \par 
\begin{longtable}{P{0.5252358490566038\textwidth}P{0.3247641509433962\textwidth}}
Characteristics\tabcellsep Floating Population (N=300)\\
Age (in years)\tabcellsep \\
18-27\tabcellsep 58 (19.3)\\
28-37\tabcellsep 80 (26.7)\\
38+\tabcellsep 162 (54)\\
Occupation\tabcellsep \\
Rickshaw Puller\tabcellsep 54 (18.0)\\
Service\tabcellsep -\\
Business\tabcellsep 37 (12.3)\\
Truck Driver\tabcellsep -\\
Day labour\tabcellsep 101 (33.\\
Agriculture\tabcellsep \\
Beggar\tabcellsep \\
Sex worker\tabcellsep \end{longtable} \par
 
\caption{\label{tab_1}Table 2 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{3} \par 
\begin{longtable}{P{0.5931224899598394\textwidth}P{0.25687751004016063\textwidth}}
HIV/AIDS Related Information\tabcellsep Floating Population (N=300)\\
Have you heard the name of HIV/AIDS\tabcellsep 282 (94.0)\\
Yes\tabcellsep 18 (6.0)\\
No\tabcellsep \\
Have you known about fearfulness of HIV/AIDS\tabcellsep 140 (46.7)\\
Yes\tabcellsep 160 (53.3)\\
No\tabcellsep \\
Source of HIV/AIDS information\tabcellsep \\
Doesn't know\tabcellsep 11 (3.7)\\
Radio\tabcellsep 57 (19.0)\\
TV\tabcellsep 86 (28.7)\\
News Paper\tabcellsep 7 (2.3)\\
Pamphlets\tabcellsep 5 (1.7)\\
Health worker\tabcellsep 13 (4.3)\\
Religious Institute\tabcellsep 2 (0.7)\\
Educational Institute\tabcellsep 1 (0.3)\\
Community meeting\tabcellsep 5 (1.7)\\
Friend\tabcellsep 19 (6.3)\\
From NGO\tabcellsep 3 (1.0)\\
Others\tabcellsep 91 (30.4)\\
Perception of HIV/AIDS affected person\tabcellsep \\
Doesn't know\tabcellsep 13 (4.3)\\
Disobedient of religious factor\tabcellsep 10 (3.3)\\
Addicted\tabcellsep 85 (28.3)\\
Illiterate\tabcellsep 8 (2.7)\\
Truck driver\tabcellsep 27 (9.0)\\
Rickshaw puller\tabcellsep 12 (4.0)\\
Sex worker\tabcellsep 145 (48.3)\\
Was HIV/AIDS transmitted diseases?\tabcellsep \\
Doesn't know\tabcellsep 24 (8.0)\\
Yes\tabcellsep 251 (83.7)\\
No\tabcellsep 25 (8.3)\\
Knowledge of way to HIV/AIDS transmitted routes\tabcellsep \\
Doesn't know specific way\tabcellsep 33 (11.0)\\
A mosquito bite\tabcellsep 33 (11.0)\\
Illegal intercourse\tabcellsep 68 (22.7)\\
Blood \& Antimony\tabcellsep 45 (15.0)\\
Sharing needles, Razors/ Blade\tabcellsep 82 (27.3)\\
Kissing on the cheek/Touching some one who was HIV positive\tabcellsep 7 (2.3)\\
Commercial Sex worker\tabcellsep 32 (10.\end{longtable} \par
 
\caption{\label{tab_2}Table 3 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{4} \par 
\begin{longtable}{P{0.5826041666666667\textwidth}P{0.11333333333333333\textwidth}P{0.1540625\textwidth}}
Name of Independent variables\tabcellsep \tabcellsep Floating Population\\
\tabcellsep ?\tabcellsep Odds Ratios(?)\\
Age (in years)\tabcellsep \tabcellsep \\
18-29 (Ref.)\tabcellsep \tabcellsep 1\\
30-39\tabcellsep 0.401\tabcellsep 1.494\\
40-49\tabcellsep -0.115\tabcellsep 0.891\\
50+\tabcellsep -0.216\tabcellsep 0.805\\
Marital status\tabcellsep \tabcellsep \\
Single (Ref.)\tabcellsep \tabcellsep 1\\
Married\tabcellsep -0.154\tabcellsep 0.857\\
Widow/widower\tabcellsep -0.591\tabcellsep 0.554\\
Educational level (in years)\tabcellsep \tabcellsep \\
No education (Ref.)\tabcellsep \tabcellsep 1\\
Primary incomplete\tabcellsep 0.847 ***\tabcellsep 2.332\\
Primary complete\tabcellsep 1.327 ***\tabcellsep 3.771\\
Secondary \& higher secondary\tabcellsep \tabcellsep \\
Graduate \& higher\tabcellsep \tabcellsep \\
Occupation\tabcellsep \tabcellsep \\
Rickshaw/auto rickshaw (Ref.)\tabcellsep \tabcellsep 1\\
Service\tabcellsep \tabcellsep \\
Business\tabcellsep 0.510\tabcellsep 1.665\\
Bus/truck driver\tabcellsep \tabcellsep \\
Sex worker\tabcellsep -0.180\tabcellsep 0.836\\
Others\tabcellsep 0.124\tabcellsep 1.132\end{longtable} \par
  {\small\itshape [Note: Notes: (Ref.) denotes Reference category, *** denotes 1\% level of significance, ? denotes estimate regression coefficient and others includes day labor, farmer and beggar.]} 
\caption{\label{tab_3}Table 4 :}\end{figure}
 			\footnote{Volume XVI Issue II Version I© 2016 Global Journals Inc. (US)} 			\footnote{Knowledge of Floating Population on Fearfulness of HIV/AIDS: A Case Study of Three Metropolitan Cities in Bangladesh} 			\footnote{© 2016 Global Journals Inc. (US)} 		 		\backmatter  			 
\subsection[{Conflict of Interests}]{Conflict of Interests}\par
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