Submitted Successfully!
To reward your contribution, here is a gift for you: A free trial for our video production service.
Thank you for your contribution! You can also upload a video entry or images related to this topic.
Version Summary Created by Modification Content Size Created at Operation
1
Nurul Athirah Naserrudin
 -- 1826 2022-04-01 15:50:16 |
2 format
Bruce Ren
 -25 word(s) 1801 2022-04-02 04:03:45 |

Video Upload Options

Do you have a full video?
Send video materials Upload full video

Confirm

Are you sure to Delete?
Yes No
Cite
If you have any further questions, please contact Encyclopedia Editorial Office.
Naserrudin, N.A.; Hod, R.; Jeffree, M.S.; , .; Hassan, M.R. Human Behavior in Plasmodium knowlesi Malaria Infection. Encyclopedia. Available online: https://encyclopedia.pub/entry/21288 (accessed on 24 April 2024).
Naserrudin NA, Hod R, Jeffree MS,  , Hassan MR. Human Behavior in Plasmodium knowlesi Malaria Infection. Encyclopedia. Available at: https://encyclopedia.pub/entry/21288. Accessed April 24, 2024.
Naserrudin, Nurul Athirah, Rozita Hod, Mohammad Saffree Jeffree,  , Mohd Rohaizat Hassan. "Human Behavior in Plasmodium knowlesi Malaria Infection" Encyclopedia, https://encyclopedia.pub/entry/21288 (accessed April 24, 2024).
Naserrudin, N.A., Hod, R., Jeffree, M.S., , ., & Hassan, M.R. (2022, April 01). Human Behavior in Plasmodium knowlesi Malaria Infection. In Encyclopedia. https://encyclopedia.pub/entry/21288
Naserrudin, Nurul Athirah, et al. "Human Behavior in Plasmodium knowlesi Malaria Infection." Encyclopedia. Web. 01 April, 2022.
Human Behavior in Plasmodium knowlesi Malaria Infection
Edit
This entry is adapted from the peer-reviewed paper 10.3390/ijerph19063675

P. knowlesi is a zoonotic disease transmitted by the Anopheles mosquito, which harbors the Plasmodium parasite. Previously, the disease was believed to occur only among the Macaca fascicularis and M. nemestrina monkeys, found largely in southeast Asia.

Plasmodium knowlesi malaria zoonotic disease human behavior prevention intervention

1. Introduction

P. knowlesi is a zoonotic disease transmitted by the Anopheles mosquito, which harbors the Plasmodium parasite [1]. Previously, the disease was believed to occur only among the Macaca fascicularis and M. nemestrina monkeys [1], found largely in southeast Asia [1]. In 2004, P. knowlesi infection was detected in a large section of the community in Sarawak, Malaysia [1]. Despite the success of malaria elimination programs worldwide [2][3][4], these zoonotic infections have been observed to be exponentially increasing among humans in Sabah, Malaysia [2], and nearby countries such as Indonesia [5][6], Vietnam [7][8], and Cambodia [9]. Patients experienced symptoms such as fever, myalgia, and headache, and in severe cases, kidney complications and fatalities [1][2].
The vectors of P. knowlesi are Anopheles mosquitoes of the Leucospyrus group [10]. There is heterogenicity in vector species across geographical regions in southeast Asia (SEA). For example, the species, Anopheles balabacensis, from the Leucospyrus complex, is widely distributed in east Malaysia, the Philippines, and Indonesia [10]. Anopheles cracens from the Dirus complex is found in Indonesia, West Malaysia, and Thailand, while Anopheles dirus is the primary vector in Cambodia, Laos, Thailand, Vietnam, and China [10].
The distribution of both adult mosquitoes and breeding sites provides important vector control evidence. These forest-dwelling vectors favor humid and covered forest and breed in temporary habitats such as puddles, ground holes, stream margins, and wheel tracks. The Anopheles balabacensis favors secondary forest areas surrounded by hilly areas, and estates such as oil palm estates and rubber plantations [11]. These environments increase the risk of spillover as the long tail macaques, Anopheles mosquitoes, and humans live in close interaction [11]. In Sabah, Malaysia, the breeding sites were also influenced by season. The rainy seasons from December to February and May to July provide temporary aquatic habitats for mosquito larva [10][12].
These mosquitoes are exophagic and tend to bite outdoors. The feeding behavior of Anopheles mosquitoes from the Leucosphyrus group peaks immediately after dark [10][12]. Chua et al. [12] stated that mosquito bites peak at around 18:00 to 22:00 h. Studies show that people are exposed to mosquito bites when they perform activities in the forest or return home from farms [10][11][12]. Recently, the Umbrosus group vector was found to bite humans earlier, around 07:00 to 11:00 h in Sarawak, Malaysia [13].
Studies have established that communities living on the edge of the forest, or performing forestry work, are at higher risk of developing a P. knowles infection [2][5][6][14][15][16]. Even travelers traveling to P. knowlesi affected regions are at risk to the P. knowlesi disease exposure [17]. Given the presence of asymptomatic P. knowlesi cases among household members and those not performing forest-related activities [2], there are gaps in the identification of other human activities or behaviors that put communities at risk.
Controlling zoonotic malaria is challenging, in part, due to uncertainty regarding vector distribution. To date, studies attempting to understand vector resting behavior have been unsuccessful due to difficulties in catching the vector in their natural habitats [10]. With the ongoing deforestation and changes in land use caused by anthropogenic activities, vector distributions are changing rapidly [10][12]. While significant attention has been given to vector behavior, to the researchers knowledge, no comprehensive review has been conducted on human behaviors that influence exposure to mosquito bites, causing P. knowlesi infection. Previous studies on human malaria have described various risk factors such as non-adherence to vector control tools [18][19][20][21], beliefs, and perceptions [22][23][24][25][26]. Despite extensive planning and intervention programs, the increasing incidence of P. knowlesi annually is a threat to public health [2][3]. Human behavior is a critical factor that should be explored and considered to improve malaria intervention [27]. The importance of tailored approaches to malaria varies across populations and contexts [27]. Acknowledging how human behavior plays a role in malaria exposure, including exploring the drivers and barriers, could guide towards more effective strategies of human-centered design approaches [27] and sustainable malaria intervention [28][29]. Therefore, understanding human behavior for P. knowlesi malaria is essential in view of its complexity due to the presence of its simian reservoir.  

2. Human Behavior in Plasmodium knowlesi Malaria Infection

Human behavior is complex and is influenced by multiple factors. While sociodemographic, environment, and outdoor activities were commonly described as significant factors to P. knowlesi infection, the contextual factors involving the characteristics of human behavior can be further explored to improve future P. knowlesi malaria programs. the researchers study highlights the influence of psychosocial factors such as belief, attitude, perceived threat, lack of motivation, and self-efficacy on individuals’ and communities’ malaria preventive behaviors. Other contributing factors were due to community perspective toward the infection and healthcare system. the researchers argue that further exploratory studies should be performed in order to provide “logic” to the health outcome [30]. The understanding of human–vector contact patterns, and how they overlap in time and space, enables a more accurate representation of disease exposure [27][31]. Other factors such as social norms, perceived behavioral control, motivation to perform the behavior, and psychological factors such as attitude towards the preventive behavior and emotions, can play a role in malaria exposure [32][33][34]. Social context and behavioral factors are among the known attributes of community perceptions and behavioral practices on antimalarial preventive measures [29]. Beliefs concerning P. knowlesi malaria etiology influenced their attitude, self-efficacy, and ways of coping with antimalarial measures [35]. A proportion of the community in Indonesia had local supernatural beliefs towards malaria [35], and this perception was also present among the Orang Asli community in neighboring country, Malaysia [36]. This signals a gap in disease prevention as communities have different perspectives and beliefs towards malaria. The practice of sorcery, rituals, and remedies are believed to protect them from evil spirits and ghosts [35][36]. In addition, the availability of healthcare services alone is insufficient to ensure good health practices if individuals’ beliefs are unknown [35]. While most studies collected data by survey or questionnaire, analytical approaches should consider using exploratory study to detail the user perspective and experience in malaria exposure [27][29] to avoid participants responding to please the researcher [27]. Additional work is needed to address the remaining inquiries on human behavior and zoonotic malaria exposure.
The epidemiology of P. knowlesi infection is complex. While work and activities related to exposure play a role in malaria transmission in affected regions, other contributing factors, such as deforestation, disturbed the ecological balance of the area. As a result, these anthropogenic activities threaten the biodiversity and impact a higher risk of zoonotic malaria exposure as both monkeys and mosquitoes get closer to humans [2][6][11][12][35]. It is clear that P. knowlesi control is challenging, thus, individuals and communities need to culturally adapt to preventative measures, have sufficient knowledge about the issues, develop a positive attitude toward adopting health-supportive behaviors, gain support from and interact with others, and feel good about performing the behaviors [32][33][34]. Stakeholders must provide support to ensure a multi-collaborative effort in controlling this vector-borne disease [37], for example, by improving the housing structures, designing an innovative tool to avoid mosquito bites, and implementing the One Health approach [38].
Vulnerable communities living in rural and forested areas are at risk of P. knowlesi malaria. These communities have different norms and contexts that influence their living conditions. Malaria control strategies, especially those involving community education, should be tailored to fit each community depending on these factors [28][37]. Health promotion utilizing effective communication aids in preventive action should be considered, but such communication must be suited to the social context of the community [32][33][34]. A carefully designed malaria control program should consider the socio and behavior change (SBC) of the communities’ beliefs, drivers, facilitators, and motivation towards malaria preventive behavior. For example, if the objective is to encourage the wearing of protective clothing, the communication objectives should consider the individual’s emotions, social norms, and whether the tool is affordable [28]. Community-directed control programs may not be equally effective for all individuals in that community; however, and in this case, particularly competent individuals may act as advocates of SBC programs in the community [29][37]. Community participation in healthcare strategies should include all age groups to promote systematic, planned, and sustainable short- and long-term outcomes [37], as exposure to this zoonotic infection occurs in the young to elderly populations. Their participation can be facilitated by community dialogue and discussion of the social factors that may contribute to malaria exposure. This could provide collective opinions to help improve the social and structural environment, which in turn can be emphasized in malaria programs [29][37]. This method can help to provide community views to policymakers. Meanwhile, planning should include the application of behavioral change theories to guide researchers and policymakers to develop health and other behavior changes in targeted communities [39].
Standard preventive measures such as insecticide residual spraying (IRS) and bed nets are ineffective against Anopheles mosquito bites because the vectors are mainly outdoor biters [27][28][29]. The current interventions may have relatively little impact in controlling the zoonotic malaria [10][11][12]. While the success of human malaria control and elimination has been contributed proportionally by the usage of vector control measures such as ITNs and LLINs there are gaps in the degree of personal protective measures in zoonotic malaria infection. The integration of the SBC by building the motivation of individuals, improving their belief, attitude, perceived threat, and self-efficacy in avoiding mosquito bites, and increasing the utilization of healthcare services, can facilitate individuals’ protection against malaria [28]. Individuals’ attitudes and motivations can influence family members and communities. By complementing the understanding of disease transmission more effectively, the characteristics of human behavior in exposure could be targeted in future studies [27][31][40]. While time can be an issue for acceptance and behavior changes, cues for action can be continuously performed to promote consistent preventive habits and behaviors [28]. In return, such bottom-up approaches can help to sustain malaria intervention programs [28][29][37]. This is pertinent because voracious mosquitoes are a nuisance only in the presence of humans around them, thus suggesting the need for research to consider this interrelationship [29].
A paradigm shift in P. knowlesi malaria control measures is required [11][12]; with consideration of the problem from multiple angles and a creative, bottom-up approach, involving the community in its planning, implementation, and evaluation [28][29][37]. Intervention programs should respect local priorities and needs; such as acknowledging local social, economic, and political circumstances [28][29]. the researchers must look at the negligible but real risk among vulnerable communities, to fulfil the United Nations Sustainable Development Goals (SDG) to end the epidemics of infectious diseases and neglected tropical diseases, including malaria, by 2030 [41]. To achieve the SDGs, the interruption of malaria transmission requires the integration of community involvement using communication within the communities at risk, strong political commitment, and continuous disease surveillance [41]. Programs should strive for greater community participation to strengthen disease control, ensure sustainability, and foster transformative SBC approaches [27]. The Malaria Policy Advisory Group (MPAG) concluded that the emergent epidemiological changes of P. knowlesi requires extensive research and continuous surveillance [3].

References

  1. Singh, B.; Daneshvar, C. Human Infections and Detection of Plasmodium knowlesi. Clin. Microbiol. Rev. 2013, 26, 165–184.
  2. Abeyasinghe, R. Outcomes from the Evidence Review Group on Plasmodium knowlesi. 2017. Available online: https://www.who.int/malaria/mpac/mpac-mar2017-plasmodium-knowlesi-presentation.pdf (accessed on 30 November 2020).
  3. World Health Organization. WHO Malaria Policy Advisory Group (MPAG) Meeting. 2021. Available online: https://www.who.int/news-room/events/detail/2021/04/13/default-calendar/19th-meeting-of-the-malaria-policy-advisory-group (accessed on 30 April 2021).
  4. World Health organization. World Malaria Report: 20 Year of Global Progress and Challenges; World Health Organization: Geneva, Switzerland, 2020.
  5. Lubis, I.N.D.; Wijaya, H.; Lubis, M.; Lubis, C.P.; Divis, P.C.S.; Beshir, K.; Sutherland, C.J. Contribution of Plasmodium knowlesi to Multispecies Human Malaria Infections in North Sumatera, Indonesia. J. Infect. Dis. 2017, 215, 1148–1155.
  6. Herdiana, H.; Irnawati, I.; Coutrier, F.N.; Munthe, A.; Mardiati, M.; Yuniarti, T.; Sariwati, E.; Sumiwi, M.E.; Noviyanti, R.; Pronyk, P.; et al. Two clusters of Plasmodium knowlesi cases in a malaria elimination area, Sabang Municipality, Aceh, Indonesia. Malar. J. 2018, 17, 186.
  7. Eede, P.V.D.; Van, H.N.; Van Overmeir, C.; Vythilingam, I.; Duc, T.N.; Hung, L.X.; Manh, H.N.; Annette, E.; D’Alessandro, U.; Erhart, A. Human Plasmodium knowlesi infections in young children in central Vietnam. Malar. J. 2009, 8, 249.
  8. Marchand, R.P.; Culleton, R.; Maeno, Y.; Quang, N.T.; Nakazawa, S. Co-infections of Plasmodium knowlesi, P. falciparum, and P. vivax among humans and Anopheles dirus mosquitoes, Southern Vietnam. Emerg. Infect. Dis. 2011, 17, 1232–1239.
  9. Imwong, M.; Madmanee, W.; Suwannasin, K.; Kunasol, C.; Peto, T.; Tripura, R.; Von Seidlein, L.; Nguon, C.; Davoeung, C.; Day, N.P.J.; et al. Asymptomatic Natural Human Infections With the Simian Malaria Parasites Plasmodium cynomolgi and Plasmodium knowlesi. J. Infect. Dis. 2019, 219, 695–702.
  10. Vythilingam, I.; Chua, T.H.; Liew, J.W.K.; Manin, B.O.; Ferguson, H.M. The vectors of Plasmodium knowlesi and other simian malarias Southeast Asia: Challenges in malaria elimination. Adv. Parasitol. 2021, 113, 131–189.
  11. Manin, B.O.; Ferguson, H.; Vythilingam, I.; Fornace, K.; William, T.; Torr, S.; Drakeley, C.; Chua, T.H. Investigating the Contribution of Peri-domestic Transmission to Risk of Zoonotic Malaria Infection in Humans. PLoS Negl. Trop. Dis. 2016, 10, e0005064.
  12. Chua, T.H.; Manin, B.O.; Vythilingam, I.; Fornace, K.; Drakeley, C.J. Effect of different habitat types on abundance and biting times of Anopheles balabacensis Baisas (Diptera: Culicidae) in Kudat district of Sabah, Malaysia. Parasites Vectors 2019, 12, 364.
  13. De Ang, J.X.; Yaman, K.; Kadir, K.A.; Matusop, A.; Singh, B. New vectors that are early feeders for Plasmodium knowlesi and other simian malaria parasites in Sarawak, Malaysian Borneo. Sci. Rep. 2021, 11, 7739.
  14. Fornace, K.M.; Brock, P.M.; Abidin, T.R.; Grignard, L.; Herman, L.S.; Chua, T.H.; Daim, S.; William, T.; Patterson, C.L.; Hall, T.; et al. Environmental risk factors and exposure to the zoonotic malaria parasite Plasmodium knowlesi across northern Sabah, Malaysia: A population-based cross-sectional survey. Lancet Planet. Health 2019, 3, e179–e186.
  15. Fornace, K.M.; Abidin, T.R.; Alexander, N.; Brock, P.; Grigg, M.J.; Murphy, A.; William, T.; Menon, J.; Drakeley, C.J.; Cox, J. Association between Landscape Factors and Spatial Patterns of Plasmodium knowlesi Infections in Sabah, Malaysia. Emerg. Infect. Dis. 2016, 22, 201–209.
  16. Grigg, M.J.; Cox, J.; William, T.; Jelip, J.; Fornace, K.M.; Brock, P.M.; von Seidlein, L.; Barber, B.E.; Anstey, N.M.; Yeo, T.W.; et al. Individual-level factors associated with the risk of acquiring human Plasmodium knowlesi malaria in Malaysia: A case-control study. Lancet Planet. Health 2017, 1, e97–e104.
  17. Müller, M.; Schlagenhauf, P. Plasmodium knowlesi in travellers, update 2014. Int. J. Infect. Dis. 2014, 22, 55–64.
  18. Babalola, S.; Adedokun, S.T.; McCartney-Melstad, A.; Okoh, M.; Asa, S.; Tweedie, I.; Tompsett, A. Factors associated with caregivers’ consistency of use of bed nets in Nigeria: A multilevel multinomial analysis of survey data. Malar. J. 2018, 17, 280.
  19. Nofal, S.D.; Peto, T.J.; Adhikari, B.; Tripura, R.; Callery, J.; Bui, T.M.; Von Seidlein, L.; Pell, C. How can interventions that target forest-goers be tailored to accelerate malaria elimination in the Greater Mekong Subregion? A systematic review of the qualitative literature. Malar. J. 2019, 18, 32.
  20. Ahorlu, C.S.; Adongo, P.; Koenker, H.; Zigirumugabe, S.; Sika-Bright, S.; Koka, E.; Tabong, P.T.-N.; Piccinini, D.; Segbaya, S.; Olapeju, B.; et al. Understanding the gap between access and use: A qualitative study on barriers and facilitators to insecticide-treated net use in Ghana. Malar. J. 2019, 18, 417.
  21. Sundararajan, R.; Kalkonde, Y.; Gokhale, C.; Greenough, P.G.; Bang, A. Barriers to Malaria Control among Marginalized Tribal Communities: A Qualitative Study. PLoS ONE 2013, 8, e81966.
  22. Espino, F.; Manderson, L.; Acuin, C.; Domingo, F.; Ventura, E. Perceptions of malaria in a low endemic area in the Philippines: Transmission and prevention of disease. Acta Trop. 1997, 63, 221–239.
  23. Kahissay, M.H.; Fenta, T.G.; Boon, H. Beliefs and perception of ill-health causation: A socio-cultural qualitative study in rural North-Eastern Ethiopia. BMC Public Health 2017, 17, 124.
  24. Das, A.; Das Gupta, R.K.; Friedman, J.; Pradhan, M.M.; Mohapatra, C.C.; Sandhibigraha, D. Community perceptions on malaria and care-seeking practices in endemic Indian settings: Policy implications for the malaria control programme. Malar. J. 2013, 12, 39.
  25. Kamat, V.R. “I thought it was only ordinary fever!” cultural knowledge and the micropolitics of therapy seeking for childhood febrile illness in Tanzania. Soc. Sci. Med. 2006, 62, 2945–2959.
  26. Taek, M.M.; Banilodu, L.; Neonbasu, G.; Watu, Y.V.; Prajogo, E.W.B.; Agil, M. Ethnomedicine of Tetun ethnic people in West Timor Indonesia: Philosophy and practice in the treatment of malaria. Integr. Med. Res. 2019, 8, 139–144.
  27. Monroe, A.; Moore, S.; Olapeju, B.; Merritt, A.P.; Okumu, F. Unlocking the human factor to increase effectiveness and sustainability of malaria vector control. Malar. J. 2021, 20, 404.
  28. Roll Back Malaria Partnership to End Malaria. The Strategic Framework for Malaria Social and Behaviour Change Communication 2018–2030. US Pres Malar Initiat. 2018. Available online: https://www.pmi.gov/docs/default-source/default-document-library/tools-curricula/framework-for-malaria-social-and-behavior-change-communication-2018-2030-english.pdf (accessed on 2 February 2022).
  29. Heggenhougen, H.K.; Hackethal, V.; Vivek, P. The behavioural and social aspects of malaria and its control: An introduction and annotated biliography. UNDP/World Bank/World Health Organization Special Programme for Research and Training in Tropical Diseases 2003. Available online: https://apps.who.int/iris/handle/10665/42504 (accessed on 2 February 2022).
  30. Manderson, L.; Cartwright, E.; Hardon, A. (Eds.) The Routledge Handbook of Medical Anthropology; Milton Park: Abingdon, UK; Routledge: New York, NY, USA, 2016.
  31. Monroe, A.; Moore, S.; Koenker, H.; Lynch, M.; Ricotta, E. Measuring and characterizing night time human behaviour as it relates to residual malaria transmission in sub-Saharan Africa: A review of the published literature. Malar. J. 2019, 18, 6.
  32. Storey, J.D.; Babalola, S.O.; Ricotta, E.E.; Fox, K.A.; Toso, M.; Lewicky, N.; Koenker, H. Associations between ideational variables and bed net use in Madagascar, Mali, and Nigeria. BMC Public Heath 2018, 18, 484.
  33. Ricotta, E.; Boulay, M.; Ainslie, R.; Babalola, S.; Fotheringham, M.; Koenker, H.; Lynch, M. The use of mediation analysis to assess the effects of a behaviour change communication strategy on bed net ideation and household universal coverage in Tanzania. Malar. J. 2015, 14, 15.
  34. Olapeju, B.; Adams, C.; Wilson, S.; Simpson, J.; Hunter, G.C.; Davis, T.; Mitchum, L.; Cox, H.; James, K.; Orkis, J.; et al. Malaria care-seeking and treatment ideation among gold miners in Guyana. Malar. J. 2022, 21, 29.
  35. Ekawati, L.L.; Johnson, K.C.; Jacobson, J.O.; Cueto, C.A.; Zarlinda, I.; Elyazar, I.R.F.; Fatah, A.; Sumiwi, M.E.; Noviyanti, R.; Cotter, C.; et al. Defining malaria risks among forest workers in Aceh, Indonesia: A formative assessment. Malar. J. 2020, 19, 441.
  36. Munajat, M.B.; Rahim, M.A.F.A.; Wahid, W.; Rakna, M.I.M.S.; Divis, P.C.S.; Chuangchaiya, S.; Lubis, I.N.D.; Osman, E.; Kasri, M.R.M.; Idris, Z.M. Perceptions and prevention practices on malaria among the indigenous Orang Asli community in Kelantan, Peninsular Malaysia. Malar. J. 2021, 20, 202.
  37. World Health Organization. Multisectoral Approach to the Prevention and Control of Vector-Borne Disease; World Health Organization: Geneva, Switzerland, 2020.
  38. Scott, J. Proposed Integrated Control of Zoonotic Plasmodium knowlesi in Southeast Asia Using Themes of One Health. Trop. Med. Infect. Dis. 2020, 5, 175.
  39. Davis, R.; Campbell, R.; Hildon, Z.; Hobbs, L.; Michie, S. Theories of behaviour and behaviour change across the social and behavioural sciences: A scoping review. Health Psychol. Rev. 2014, 9, 323–344.
  40. Monroe, A.; Moore, S.; Okumu, F.; Kiware, S.; Lobo, N.F.; Koenker, H.; Sherrard-Smith, E.; Gimnig, J.; Killeen, G.F. Methods and indicators for measuring patterns of human exposure to malaria vectors. Malar. J. 2020, 19, 207.
  41. World Health Organization. Fact Sheet on Sustainable Development Goals (SDGs): Health Targets; World Health Organization: Geneva, Switzerland, 2018; Available online: www.euro.who.int/sdgs (accessed on 2 February 2022).
More
© Text is available under the terms and conditions of the Creative Commons Attribution (CC BY) license; additional terms may apply. By using this site, you agree to the Terms and Conditions and Privacy Policy.
Upload a video for this entry
Information
Subjects: Public, Environmental & Occupational Health
Contributors MDPI registered users' name will be linked to their SciProfiles pages. To register with us, please refer to https://encyclopedia.pub/register :
Nurul Athirah Naserrudin
,
Rozita Hod
,
Mohammad Saffree Jeffree
,
,
Mohd Rohaizat Hassan
View Times: 249
Revisions: 2 times (View History)
Update Date: 02 Apr 2022
Table of Contents
    1000/1000
    Hot Most Recent
    Feedback