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1

Chirebvu, Elijah, Moses John Chimbari, and Barbara Ntombi Ngwenya. "Assessment of Risk Factors Associated with Malaria Transmission in Tubu Village, Northern Botswana." Malaria Research and Treatment 2014 (March 16, 2014): 1–10. http://dx.doi.org/10.1155/2014/403069.

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This study investigated potential risk factors associated with malaria transmission in Tubu village, Okavango subdistrict, a malaria endemic area in northern Botswana. Data was derived from a census questionnaire survey, participatory rural appraisal workshop, field observations, and mosquito surveys. History of malaria episodes was associated with several factors: household income (P<0.05), late outdoor activities (OR = 7.016; CI = 1.786–27.559), time spent outdoors (P=0.051), travel outside study area (OR = 2.70; CI = 1.004–7.260), nonpossession of insecticide treated nets (OR = 0.892; CI
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2

Elliott, Tamara, Racquel E. Kohler, Barati Monare, et al. "Performance of vaginal self-sampling for human papillomavirus testing among women living with HIV in Botswana." International Journal of STD & AIDS 30, no. 12 (2019): 1169–76. http://dx.doi.org/10.1177/0956462419868618.

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In Botswana, where human immunodeficiency virus (HIV) prevalence remains high, cervical cancer is the leading cause of cancer deaths in women. Multiple organizations recommend high-risk human papillomavirus (hr-HPV) testing as a screening tool; however, high coverage may not be feasible with provider-collected samples. We conducted the first assessment of self- versus provider-collected samples for hr-HPV testing in HIV-positive women in Botswana and report prevalence of hr-HPV and histological outcomes. We recruited HIV-positive women ≥25 years attending an HIV clinic in Gaborone. Self- and p
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3

Angrist, Noam, Peter Bergman, David K. Evans, Susannah Hares, Matthew C. H. Jukes, and Thato Letsomo. "Practical lessons for phone-based assessments of learning." BMJ Global Health 5, no. 7 (2020): e003030. http://dx.doi.org/10.1136/bmjgh-2020-003030.

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School closures affecting more than 1.5 billion children are designed to prevent the spread of current public health risks from the COVID-19 pandemic, but they simultaneously introduce new short-term and long-term health risks through lost education. Measuring these effects in real time is critical to inform effective public health responses, and remote phone-based approaches are one of the only viable options with extreme social distancing in place. However, both the health and education literature are sparse on guidance for phone-based assessments. In this article, we draw on our pilot testi
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4

Keetile, Mpho. "An assessment of sexual risk behaviours among circumcised and uncircumcised men before and after the implementation of the safe male circumcision programme in Botswana." AIDS Care 32, no. 12 (2020): 1594–601. http://dx.doi.org/10.1080/09540121.2020.1769830.

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5

Dinake, Pogisego, Rosemary Kelebemang, Nicholas Sehube, Tsotlhe Trinity Kereeditse, and Obakeng Motswetla. "Dynamic Risk Assessment of Lead Pollution of Shooting Range Soil by Applying the Delayed Geochemical Hazard Model – A Case Study in Botswana." Soil and Sediment Contamination: An International Journal 29, no. 5 (2020): 503–15. http://dx.doi.org/10.1080/15320383.2020.1747812.

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6

Magalhães-Barbosa, Maria Clara, Jaqueline Rodrigues Robaina, Arnaldo Prata-Barbosa, and Claudia de Souza Lopes. "Reliability of triage systems for paediatric emergency care: a systematic review." Emergency Medicine Journal 36, no. 4 (2019): 231–38. http://dx.doi.org/10.1136/emermed-2018-207781.

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ObjectiveTo present a systematic review on the reliability of triage systems for paediatric emergency care.MethodsA search of MEDLINE, Cochrane Library, Latin American and Caribbean Health Sciences Literature, Scientific Electronic Library Online, Nursing Database Index and Spanish Health Sciences Bibliographic Index for articles in English, French, Portuguese or Spanish was conducted to identify reliability studies of five-level triage systems for patients aged 0–18 years published up to April 2018. Two reviewers performed study selection, data extraction and quality assessment as recommended
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7

M. Badubi, Reuben. "Dynamic Assessment of Mergers and Acquisitions Risks in Botswana." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 2, no. 4 (2017): 30–33. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.24.3005.

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The aim of the paper is to address the issue of local enterprises that fall prey to international companies in terms of mergers as they fail to address risks that collapse their institutions.In this research paper, the study is based on literature. The researcher looked at similar cases of mergers and acquisitions in Botswana and overseas in diverse sectors of the economy. The core assessment of risk identification which is portfolio risk helped in identifying risks that affect consolidations, mergers, and acquisitions in Botswana. The researcher intends to help the companies taking over other
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8

Solomon, Malebogo, Luis Furuya-Kanamori, and Kinley Wangdi. "Spatial Analysis of HIV Infection and Associated Risk Factors in Botswana." International Journal of Environmental Research and Public Health 18, no. 7 (2021): 3424. http://dx.doi.org/10.3390/ijerph18073424.

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Botswana has the third highest human immunodeficiency virus (HIV) prevalence globally, and the severity of the epidemic within the country varies considerably between the districts. This study aimed to identify clusters of HIV and associated factors among adults in Botswana. Data from the Botswana Acquired Immunodeficiency Syndrome (AIDS) Impact Survey IV (BIAS IV), a nationally representative household-based survey, were used for this study. Multivariable logistic regression and Kulldorf’s scan statistics were used to identify the risk factors and HIV clusters. Socio-demographic characteristi
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9

Abelson, P. H. "Health Risk Assessment." Regulatory Toxicology and Pharmacology 17, no. 2 (1993): 219–23. http://dx.doi.org/10.1006/rtph.1993.1019.

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10

Mantimane, Atlego Pearl. "Assessment of Risk Factors Associated with Hypertension in Adult Population in Letlhakane, Botswana." TEXILA INTERNATIONAL JOURNAL OF PUBLIC HEALTH 7, no. 3 (2019): 1–8. http://dx.doi.org/10.21522/tijph.2013.07.03.art001.

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11

Talbot, Elizabeth A., Thomas A. Kenyon, Themba L. Moeti, et al. "HIV risk factors among patients with tuberculosis — Botswana 1999." International Journal of STD & AIDS 13, no. 5 (2002): 311–17. http://dx.doi.org/10.1258/0956462021925126.

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To identify factors associated with HIV in Botswana, a standardized questionnaire was administered to 135 tuberculosis patients with known HIV status. HIV-positive patients were more likely than HIV-negative patients to: be female (45% vs 26% (adjusted prevalence odds ratio (aPOR)=3.8, 95% confidence interval (CI)=1.1-12.7)); be 26-35 years old (50% vs 19% (aPOR=2.7, CI=0.7-10.7)); be unmarried (91% vs 71% (aPOR=13.3, CI=2.5-72.7)); have higher income (24% vs 10% (aPOR=8.2, CI=1.6-42.9)); report separation from spouse/partner for work (63% vs 52% (aPOR=1.8, CI=0.5-6.2)); have 2 sex partners ot
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12

Glomb, Nicolaus W., Adeola A. Kosoko, Cara B. Doughty, et al. "Needs Assessment for Simulation Training for Prehospital Providers in Botswana." Prehospital and Disaster Medicine 33, no. 6 (2018): 621–26. http://dx.doi.org/10.1017/s1049023x18001024.

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AbstractBackgroundIn June 2012, the Botswana Ministry of Health and Wellness (MOHW; Gaborone, Botswana) initiated a national Emergency Medical Services (EMS) system in response to significant morbidity and mortality associated with prehospital emergencies. The MOHW requested external expertise to train its developing workforce. Simulation-based training was planned to equip these health care providers with clinical knowledge, procedural skills, and communication techniques.ObjectiveThe objective of this study was to assess the educational needs of the pioneer Botswana MOHW EMS providers based
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13

Chapple, Liz, and Zehra Yonel. "Oral health risk assessment." Dental Update 45, no. 9 (2018): 841–47. http://dx.doi.org/10.12968/denu.2018.45.9.841.

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14

Corbett, Stephen. "Quantitative Health Risk Assessment." New South Wales Public Health Bulletin 14, no. 8 (2003): 161. http://dx.doi.org/10.1071/nb03046.

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15

Chapman, Sue. "Mental health risk assessment." Practice Nursing 8, no. 10 (1997): 20–24. http://dx.doi.org/10.12968/pnur.1997.8.10.20.

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16

Kanarek, S., and C. Powell. "Nanotechnology Health Risk Assessment." Epidemiology 17, Suppl (2006): S443. http://dx.doi.org/10.1097/00001648-200611001-01190.

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17

Monokwane, Baphaleng, Allison Johnson, Claudia Gambrah-Sampaney, et al. "Risk Factors for Cerebral Palsy in Children in Botswana." Pediatric Neurology 77 (December 2017): 73–77. http://dx.doi.org/10.1016/j.pediatrneurol.2017.07.014.

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18

Martuzzi*, Marco, and Michael Depledge. "Risk Assessment, Health Impact Assessment, Risk Management: Time We Clarified." ISEE Conference Abstracts 2014, no. 1 (2014): 2513. http://dx.doi.org/10.1289/isee.2014.p3-822.

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19

Motshoge, Thato, Daniel H. Haiyambo, Ruth Ayanful-Torgby, et al. "Recent Molecular Assessment of Plasmodium vivax and Plasmodium falciparum Asymptomatic Infections in Botswana." American Journal of Tropical Medicine and Hygiene 104, no. 6 (2021): 2159–64. http://dx.doi.org/10.4269/ajtmh.21-0083.

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Abstract.In 2016, we reported the presence of Plasmodium vivax in Botswana through active case detection. A real-time PCR was used during a similar study in 10 districts to assess changes in the P. vivax prevalence. We assessed 1,614 children (2–13 years of age) for hemoglobin (Hb; g/dL) and Plasmodium parasites. The median age of all participants was 5.0 years (25th percentile, 3 years; 75th percentile, 8 years). The median Hb (g/dL) level was 12.1, but 18.3% of the participants had anemia (Hb < 11.0 g/dL); these participants were clustered in the younger than 5 years age group in all dist
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20

Victorin, K., A. Falk Filipsson, A. Hanberg, and M. Wallén. "716 Assessment factors in health risk assessment." Toxicology Letters 144 (September 2003): s192. http://dx.doi.org/10.1016/s0378-4274(03)90715-6.

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21

Fedtke, N. "Assessment factors in human health risk assessment." Toxicology Letters 95 (July 1998): 15. http://dx.doi.org/10.1016/s0378-4274(98)80058-1.

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22

Towl, G. "Risk assessment." Evidence-Based Mental Health 8, no. 4 (2005): 91–93. http://dx.doi.org/10.1136/ebmh.8.4.91.

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23

Marchevsky, David. "Risk assessment." Psychiatric Bulletin 22, no. 5 (1998): 324–25. http://dx.doi.org/10.1192/pb.22.5.324-a.

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24

Holloway, Frank. "Risk assessment." British Journal of Psychiatry 173, no. 6 (1998): 540–43. http://dx.doi.org/10.1192/s0007125000151864.

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Reading about the assessment and management of risk began, in earnest, for me in 1993. Previously, I had assumed that good training in the management of suicidal patients, reasonable clinical skills, a high-quality community team and the rarely utilised option of referring worrying patients to the forensic psychiatrists together represented an adequate basis for practice in an inner-city catchment area. This naïve assumption was challenged by the popular and political reaction to the actions of Christopher Clunis and Ben Silcock in December 1992, both people with a schizophrenic illness known
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25

de Vet, H. C. W. "Risk assessment." European Journal of Cancer Prevention 1 (October 1991): 14. http://dx.doi.org/10.1097/00008469-199110001-00019.

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26

Lindhe, Andreas, Lars Rosén, Per-Olof Johansson, and Tommy Norberg. "Dynamic Water Balance Modelling for Risk Assessment and Decision Support on MAR Potential in Botswana." Water 12, no. 3 (2020): 721. http://dx.doi.org/10.3390/w12030721.

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Botswana experiences a water stressed situation due to the climate and a continuously increasing water demand. Managed Aquifer Recharge (MAR) is considered, among other measures, to improve the situation. To evaluate the possibility for increased water supply security, a probabilistic and dynamic water supply security model was developed. Statistically generated time series of source water availability are used in combination with the dynamic storages in dams and aquifers, and the possible supply is compared with the demand to simulate the magnitude and probability of water supply shortages. T
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27

Erick, Patience. "Botswana: country report on children’s environmental health." Reviews on Environmental Health 35, no. 1 (2020): 9–14. http://dx.doi.org/10.1515/reveh-2019-0092.

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AbstractAccording to the World Health Organization (WHO), 5.9 million children under age 5 died in 2015, and globally, the main causes of child deaths are pneumonia, prematurity, intrapartum-related complications, neonatal sepsis, congenital anomalies, diarrhoea, injuries and malaria. In 2012, it was reported that one quarter of childhood deaths and disease burden could have been prevented by reducing environmental risks. Children are vulnerable to environmental risks such as air pollution, inadequate water, sanitation and hygiene, hazardous chemicals and waste, radiation, climate change, as w
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28

Drennan, Vari. "Health visitors’ assessment of risk." Primary Health Care 26, no. 5 (2016): 15. http://dx.doi.org/10.7748/phc.26.5.15.s23.

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29

Cura, Jerome J. "Ecological and health risk assessment." Water Environment Research 69, no. 4 (1997): 925–30. http://dx.doi.org/10.2175/106143097x135136.

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30

Carroll-Pankhurst, Cindie. "Epidemiology and Health Risk Assessment." Medical Care 32, no. 6 (1994): 656–57. http://dx.doi.org/10.1097/00005650-199406000-00012.

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31

Lichtenberg, Erik. "Economics of Health Risk Assessment." Annual Review of Resource Economics 2, no. 1 (2010): 53–75. http://dx.doi.org/10.1146/annurev-resource-040709-135045.

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32

Sugahara, Tsutomu. "Health Risk Assessment of Radiation." Toxicology and Industrial Health 7, no. 5-6 (1991): 129–36. http://dx.doi.org/10.1177/074823379100700514.

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33

Walsh, K. "Epidemiology and health risk assessment." Journal of Epidemiology & Community Health 43, no. 4 (1989): 405. http://dx.doi.org/10.1136/jech.43.4.405.

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34

van de Wiel, Jeanine A. G., and Wim Passchier. "Risk assessment: good for health?" Toxicology Letters 72, no. 1-3 (1994): 237–42. http://dx.doi.org/10.1016/0378-4274(94)90034-5.

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35

D'Agnolo, G. "GMO: Human Health Risk Assessment." Veterinary Research Communications 29, S2 (2005): 7–11. http://dx.doi.org/10.1007/s11259-005-0003-7.

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36

Johnson, Barry L. "Is health risk assessment unethical?" Environmental Impact Assessment Review 14, no. 5-6 (1994): 377–84. http://dx.doi.org/10.1016/0195-9255(94)90008-6.

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37

Hamilton, E. I. "Principles of health risk assessment." Science of The Total Environment 52, no. 1-2 (1986): 151–52. http://dx.doi.org/10.1016/0048-9697(86)90114-2.

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38

Jørgensen, S. E. "Principles of health risk assessment." Ecological Modelling 36, no. 3-4 (1987): 319–20. http://dx.doi.org/10.1016/0304-3800(87)90076-7.

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39

Smith, A. H., M. L. Biggs, C. Hopenhayn-Rich, and D. Kalman. "Arsenic risk assessment." Environmental Health Perspectives 103, no. 1 (1995): 13–17. http://dx.doi.org/10.1289/ehp.9510313b.

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40

Albert, R. E. "Carcinogen risk assessment." Environmental Health Perspectives 81 (May 1989): 103–5. http://dx.doi.org/10.1289/ehp.8981103.

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Carlson-Lynch, H., B. D. Beck, and P. D. Boardman. "Arsenic risk assessment." Environmental Health Perspectives 102, no. 4 (1994): 354–56. http://dx.doi.org/10.1289/ehp.94102354.

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42

Martuzzi, Marco, and Michael H. Depledge. "Risk Assessment, Health Impact Assessment, Risk Management: Loose Terminology Or More?" ISEE Conference Abstracts 2015, no. 1 (2015): 811. http://dx.doi.org/10.1289/isee.2015.2015-811.

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43

Keetile, Mpho. "Patterns and correlates of health risk behaviours among adolescents in Botswana: 2001-2013." Vulnerable Children and Youth Studies 15, no. 3 (2020): 205–20. http://dx.doi.org/10.1080/17450128.2020.1752961.

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44

Hayashi, Yuzo, Akihiko Maekawa, Michihito Takahashi, and Katsumi Imaida. "Arcinogen Risk Assessment." Toxicology and Industrial Health 7, no. 5-6 (1991): 297–304. http://dx.doi.org/10.1177/074823379100700532.

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45

Doyle, Michael, and Mairead Dolan. "Standardized risk assessment." Psychiatry 6, no. 10 (2007): 409–14. http://dx.doi.org/10.1016/j.mppsy.2007.07.004.

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46

Murff, Harvey J., Daniel Byrne, and Sapna Syngal. "Cancer Risk Assessment." American Journal of Preventive Medicine 27, no. 3 (2004): 239–45. http://dx.doi.org/10.1016/j.amepre.2004.05.003.

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47

Tlale, Lebapotswe B., Barnabas Morake, Onalethata Lesetedi, et al. "Data quality self-assessment of child health and sexual reproductive health indicators in Botswana, 2016-2017." PLOS ONE 14, no. 8 (2019): e0220313. http://dx.doi.org/10.1371/journal.pone.0220313.

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48

Dudleston, Keith E. "The risk in risk assessment." Psychiatrist 37, no. 11 (2013): 372–73. http://dx.doi.org/10.1192/pb.37.11.372c.

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49

Hermes, Brenda, Kathy Deakin, Kathy Lee, and Sherry Robinson. "Suicide Risk Assessment." Journal of Psychosocial Nursing and Mental Health Services 47, no. 6 (2009): 44–49. http://dx.doi.org/10.3928/02793695-20090428-03.

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50

Arnold, Jeffrey L. "Risk and Risk Assessment in Health Emergency Management." Prehospital and Disaster Medicine 20, no. 3 (2005): 143–54. http://dx.doi.org/10.1017/s1049023x00002363.

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AbstractThis article considers the critical roles of risk and risk assessment in the management of health emergencies and disasters. The Task Force on Quality Control of Disaster Management (TFQCDM) has defined risk as the “objective (mathematical) or subjective (inductive) probability that something negative will occur (happen)”. Risks with the greatest relevance to health emergency management include: (1) the probability that a health hazard exists or will occur; (2) the probability that the hazard will become an event; (3) the probability that the event will lead to health damage; and (4) t
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