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Covid-19 Pcr Test Report

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COVID-19 PCR TEST REPORT Total Sample Tested = 45050 Total New Sample Tested = 452 Reporting Date : 2078-02-14 New Positive Result = 203 Time: 9:50 AM New Negative Result = 249 S. No. Date Patient Id Name A/G Address District Contact Result 1 21/05/26 55157 20Y/M janakpur-21 Dhanusha Positive 2 21/05/26 55083 27Y/M Mithila-11 Dhanusha Positive 3 21/05/26 55246 Rupak Khadka 36Y/M bardibas-8 Mahottari Negative 4 21/05/26 55247 Hari Prasad Magar 22Y/M bardibas-8 Mahottari Negative 5 21/05/26 55248 Liza Karki 25Y/F bardibas-14 Mahottari Negative 6 21/05/26 55249 26Y/M bardibas-14 Mahottari Positive 7 21/05/26 55250 Sunil Thapa 24Y/M bardibas-3 Mahottari Negative 8 21/05/26 55251 34Y/M bardibas-14 Mahottari Positive 9 21/05/26 55252 48Y/M bardibas-3 Mahottari Positive 10 21/05/26 55253 Ramila Pokharel 28Y/F bardibas-1 Mahottari Negative 11 21/05/26 55254 Bijesh Sah 31Y/M bardibas-14 Mahottari Negative 12 21/05/26 55255 28Y/F bardibas-14 Mahottari Positive 13 21/05/26 55256 12Y/F bardibas-14 Mahottari Positive 14 21/05/26 55257 46Y/M bardibas-14 Mahottari Positive 15 21/05/26 55258 Saroj Kumar Adhikari 31Y/M bardibas-2 Mahottari Negative 16 21/05/26 55259 Radha Devkota 20Y/F bardibas-2 Mahottari Negative 17 21/05/26 55260 Dr ishwar Pokharel 31Y/M bardibas-1 Mahottari Negative 18 21/05/26 55261 28Y/F lalgadh-10 Dhanusha Positive 19 21/05/26 55262 28Y/M bardibas-4 Mahottari Positive 20 21/05/26 55263 Sarita Pandit 42Y/F bardibas-1 Mahottari Negative 21 21/05/26 55264 Anand Sunuwar 30Y/M lalgadh-10 Dhanusha Negative 22 21/05/26 55265 Gopal B.k 78Y/M ishwarpur-12 Sarlahi Negative 23 21/05/26 55266 53Y/F ishwarpur-12 Sarlahi Positive 24 21/05/26 55267 Yam Lal Bk 28Y/M ishwarpur-12 Sarlahi Negative 25 21/05/26 55270 Nisha B.k 26Y/F ishwarpur-12 Sarlahi Negative 26 21/05/26 55275 27Y/F gaushla-11 Mahottari Positive 27 21/05/26 55276 Krishna Mahato 21Y/M bardibas-4 Mahottari Negative 28 21/05/26 55277 40Y/F bardibas-13 Mahottari Positive 29 21/05/26 55278 Krishna Prasad Khatri 61Y/M lalbandi-6 Sarlahi Negative 30 21/05/26 55279 Kamala Devi Khatiwada 60Y/F lalbandi- Sarlahi Negative 31 21/05/26 55280 Siya Ram Mahato 34Y/M gaushala-12 Mahottari Negative 32 21/05/26 55281 Roshan Thakur 21Y/M bardibas-12 Mahottari Negative 33 21/05/26 55282 50Y/M raghunathpur-13 Mahottari Positive 34 21/05/26 55283 Dev Narayan Mahato 50Y/M gaushala-12 Mahottari Negative 35 21/05/26 55284 Dipesh Raj Baral 29Y/M bardibas-7 Mahottari Negative 36 21/05/26 55285 52Y/M gaushala-1 Mahottari Positive 37 21/05/26 55286 29Y/M gaushala-1 Mahottari Positive 38 21/05/26 55287 1Y/F gaushala-1 Mahottari Positive 39 21/05/26 55288 Prince Sah 12Y/M gaushala-1 Mahottari Negative 40 21/05/26 55289 Dharmendra Raut 30Y/M gaushala-1 Mahottari Negative 41 21/05/26 55290 Rajesh Sah 30Y/M gaushala-1 Mahottari Negative 42 21/05/26 55291 Ram Lochan Mahato 60Y/M aurahi-2 Mahottari Negative 43 21/05/26 55292 Sanjit Sah 30Y/M gaushala-9 Mahottari Negative 44 21/05/26 55293 Arnlesh Raut 22Y/M Bardibas-12 Mahottari Negative 45 21/05/26 55294 Santosh Kumar Yadav 38Y/M aurahi-6 Mahottari Negative 46 21/05/26 55295 Nilam Devi Yadav 33Y/F aurahi-6 Mahottari Negative 47 21/05/26 55296 60Y/M bardibas-9 Mahottari Positive 48 21/05/26 55297 Dinesh Kumar Mahato 18Y/M bardibas-9 Mahottari Negative 49 21/05/26 55298 Sarmila Pokhrel 25Y/F Bardibas-12 Mahottari Negative 50 21/05/26 55299 Goma Shrestha 32Y/F bardibas-14 Mahottari Negative 51 21/05/26 55300 Kamana Mahato 26Y/F dhalkewar-5 Dhanusha Negative 52 21/05/26 55343 Jibachi Devi Sah 1Y/F ramgopalpur-8 Mahottari Negative 53 21/05/26 55344 Ramphal Pandit 76Y/M kurtha-21 Dhanusha Negative 54 21/05/26 55345 Jibachh Sah 61Y/M kurtha-21 Dhanusha Negative 55 21/05/27 55346 Laxmi Maya Shrestha 61Y/F mithila-10 Dhanusha Negative 56 21/05/27 55347 Samir Chaudhary 33Y/M bardibas-14 Mahottari Negative 57 21/05/27 55348 Kebal Thakur 50Y/M bardibas-14 Mahottari Negative 58 21/05/27 55349 32Y/M bardibas-1 Mahottari Positive 59 21/05/27 55350 30Y/M mithila-10 Dhanusha Positive 60 21/05/27 55351 38Y/M bardibas-1 Mahottari Positive 61 21/05/27 55352 Jyoti Shrestha 28Y/F bardibas-3 Mahottari Negative 62 21/05/27 55353 Manish Shrestha 32Y/M bardibas-3 Mahottari Negative 63 21/05/27 55354 54Y/M mithila-9 Dhanusha Positive 64 21/05/27 55355 Tirtharaj Baral 36Y/M bardibas-1 Mahottari Negative 65 21/05/27 55356 Dipendra Kumar Kafle 32Y/M bardibas-5 Mahottari Negative 66 21/05/27 55357 Ram Pari Mahato 26Y/F mithila-8 Dhanusha Negative 67 21/05/27 55358 Mahendra Mahato 25Y/M gaushala-4 Mahottari Negative 68 21/05/27 55359 Chandrakala Mahato 50Y/F gaushala-4 Mahottari Negative 69 21/05/27 55360 60Y/F mithila-8 Dhanusha Positive 70 21/05/27 55361 Bibek Dhungel 50Y/M mithila-10 Dhanusha Negative 71 21/05/27 55362 Sunita Miriching 40Y/F itafa-3 Mahottari Negative 72 21/05/27 55363 42Y/M golonjor-5 Sindhuli Positive 73 21/05/27 55364 Radha Devi Mahato 55Y/F digamarpur-4 Dhanusha Negative 74 21/05/27 55365 Suku Maya Syangtan 55Y/F bardibas-5 Mahottari Negative 75 21/05/27 55366 Khadga Brd Khanal 30Y/M bardibas-6 Mahottari Negative 76 21/05/27 55367 46Y/M bardibas-1 Mahottari Positive 77 21/05/27 55368 60Y/M dudhauli-7 Sindhuli Positive 78 21/05/27 55369 49Y/F mithila-10 Dhankuta Positive 79 21/05/27 55370 Bhuwan K. Bishwakarma 29Y/M mithila-10 Dhanusha Negative 80 21/05/27 55371 55Y/M bardibas Mahottari Positive 81 21/05/27 55372 Krishna Bhadra Jha 64Y/M gausala-12 Mahottari Negative 82 21/05/27 55373 55Y/F bardibas-3 Mahottari Positive 83 21/05/27 55374 30Y/F bardibas-1 Mahottari Positive 84 21/05/27 55375 Dipesh Sapkota 32Y/M bardibas-1 Mahottari Negative 85 21/05/27 55376 43Y/F bardibas-1 Mahottari Positive 86 21/05/27 55377 48Y/M bardibas-1 Mahottari Positive 87 21/05/27 55378 17Y/M bardibas-1 Mahottari Positive 88 21/05/27 55379 Amrit Phuyal 10Y/M bardibas-1 Mahottari Negative 89 21/05/27 55380 Manoj Gautam 14Y/M bardibas-1 Mahottari Negative 90 21/05/27 55381 43Y/M bardibas-1 Mahottari Positive 91 21/05/27 55382 23Y/F bardibas-1 Mahottari Positive 92 21/05/27 55383 2Y/F bardibas-1 Mahottari Positive 93 21/05/27 55384 35Y/F bardibas-1 Mahottari Positive 94 21/05/27 55385 26Y/F bardibas-3 Mahottari Positive 95 21/05/27 55386 52Y/F bardibas-2 Mahottari Positive 96 21/05/27 55387 Lalita Lama 24Y/F bardibas-2 Mahottari Negative 97 21/05/27 55388 Sarmila Thakuri 43Y/F mithila-10 Dhanusha Negative 98 21/05/27 55389 22Y/M bhojpur-1 Bhojpur Positive 99 21/05/27 55390 48Y/F lalbandi-5 Sarlahi Positive 100 21/05/27 55391 28Y/M lalbandi-5 Sarlahi Positive 101 21/05/27 55392 Subhas Baral 26Y/M lalbandi-5 Sarlahi Negative 102 21/05/27 55393 Acchut Parsad Bhandari 59Y/M lalbandi-5 Sarlahi Negative 103 21/05/27 55394 Suraj Khatirda 31Y/M lalbandi-4 Sarlahi Negative 104 21/05/27 55395 27Y/M gaushala-8 Mahottari Positive 105 21/05/27 55396 Bashant San 28Y/M golbajjar-4 Sarlahi Negative 106 21/05/27 55397 Pashuti Paudel 38Y/M bardibas-3 Mahottari Negative 107 21/05/27 55398 Milan Adhikari 28Y/M bardibas-3 Mahottari Negative 108 21/05/27 55399 55Y/M bardibas-12 Mahottari Positive 109 21/05/27 55400 Shree Ram Girisingh 37Y/M Mahottari Negative 110 21/05/27 55401 33Y/M bardibas-4 Mahottari Positive 111 21/05/27 55403 30Y/F bardibas- Mahottari Positive 112 21/05/27 55404 32Y/M mishan Mahottari Positive 113 21/05/27 55405 29Y/M mithan Mahottari Positive 114 21/05/27 55406 32Y/M maithan Mahottari Positive 115 21/05/27 55407 45Y/M mithila-9 Dhanusha Positive 116 21/05/27 55408 41Y/F bardibas-1 Mahottari Positive 117 21/05/27 55409 36Y/M mithila-10 Dhanusha Positive 118 21/05/27 55410 Surendra Kishor Mahato 31Y/M mithila nagarpalika-3 Dhanusha Negative 119 21/05/27 55412 Balaram Chauhan 16Y/M nagarpalika-11 Dhanusha Negative 120 21/05/27 55413 Ram Kumari Devi 40Y/M mithila-3 Dhanusha Negative 121 21/05/27 55414 Dhavbandar Kumar Mahato 28Y/M mithila-3 Dhanusha Negative 122 21/05/27 55415 52Y/F bardibas-9 Mahottari Positive 123 21/05/27 55416 33Y/F lalbandi-7 Sarlahi Positive 124 21/05/27 55417 52Y/F bardibas-11 Mahottari Positive 125 21/05/27 55418 Anju Kumari Chaulagain 45Y/M bardibas-11 Mahottari Negative 126 21/05/27 55419 Sharda Devi Khadka 57Y/F lalbandi-7 Sarlahi Negative 127 21/05/27 55420 33Y/F bardibas-3 Mahottari Positive 128 21/05/27 55421 Sari Maya Pulami 72Y/F bardibas-4 Mahottari Negative 129 21/05/27 55422 50Y/M gausala nagarpalika-10 Mahottari Positive 130 21/05/27 55423 6Y/F lalbandi-7 Sarlahi Positive 131 21/05/27 55424 20Y/F bardibas-1 Mahottari Positive 132 21/05/27 55425 Sunil Kumar Sah 25Y/M paterwa-sugauli-1 Parsa Negative 133 21/05/27 55426 Bisendra Bikaram Khadka 35Y/M lalbandi-7 Sarlahi Negative 134 21/05/27 55427 40Y/M bardibas-4 Mahottari Positive 135 21/05/27 55428 35Y/M kshireshwar nagarpalika-8 Dhanusha Positive 136 21/05/27 55429 Satrudhan Mahato 19Y/M kshireshwar nath Dhanusha Negative 137 21/05/27 55430 Shailesh Kafle 42Y/M nardibas np.14 Mahottari Negative 138 21/05/27 55431 53Y/F mithila-9 Dhanusha Positive 139 21/05/27 55432 Dipendra Mahato 35Y/M bardibas-13 Mahottari Negative 140 21/05/27 55433 Ramesh Kumar Pahadi 45Y/M mithila-10 Dhanusha Negative 141 21/05/27 55434 54Y/M bardibas-4 Mahottari Positive 142 21/05/27 55435 Namandra Yadav 40Y/M gausala-5 Mahottari Negative 143 21/05/27 55436 42Y/M bardibas-1 Mahottari Positive 144 21/05/27 55437 30Y/M bardibas-7 Mahottari Positive 145 21/05/27 55438 84Y/M bardibas-13 Mahottari Positive 146 21/05/27 55439 Raju Dhakal 40Y/M bardibas-11 Mahottari Negative 147 21/05/27 55440 Lali Maya Ghisingh 30Y/F gausala-4 Mahottari Negative 148 21/05/27 55441 27Y/M gausala-4 Mahottari Positive 149 21/05/27 55442 Suraj Bhattrai
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    ALL CHILDREN IN SCHOOL Global Initiative on Out-of-School Children NEPAL COUNTRY STUDY JULY 2016 Government of Nepal Ministry of Education, Singh Darbar Kathmandu, Nepal Telephone: +977 1 4200381 www.moe.gov.np United Nations Educational, Scientific and Cultural Organization (UNESCO), Institute for Statistics P.O. Box 6128, Succursale Centre-Ville Montreal Quebec H3C 3J7 Canada Telephone: +1 514 343 6880 Email: [email protected] www.uis.unesco.org United Nations Children´s Fund Nepal Country Office United Nations House Harihar Bhawan, Pulchowk Lalitpur, Nepal Telephone: +977 1 5523200 www.unicef.org.np All rights reserved © United Nations Children’s Fund (UNICEF) 2016 Cover photo: © UNICEF Nepal/2016/ NShrestha Suggested citation: Ministry of Education, United Nations Children’s Fund (UNICEF) and United Nations Educational, Scientific and Cultural Organization (UNESCO), Global Initiative on Out of School Children – Nepal Country Study, July 2016, UNICEF, Kathmandu, Nepal, 2016. ALL CHILDREN IN SCHOOL Global Initiative on Out-of-School Children © UNICEF Nepal/2016/NShrestha NEPAL COUNTRY STUDY JULY 2016 Tel.: Government of Nepal MINISTRY OF EDUCATION Singha Durbar Ref. No.: Kathmandu, Nepal Foreword Nepal has made significant progress in achieving good results in school enrolment by having more children in school over the past decade, in spite of the unstable situation in the country. However, there are still many challenges related to equity when the net enrolment data are disaggregated at the district and school level, which are crucial and cannot be generalized. As per Flash Monitoring Report 2014- 15, the net enrolment rate for girls is high in primary school at 93.6%, it is 59.5% in lower secondary school, 42.5% in secondary school and only 8.1% in higher secondary school, which show that fewer girls complete the full cycle of education.
  • Railway Development in Nepal

    Railway Development in Nepal

    RAILWAY DEVELOPMENT IN NEPAL Prakash Upadhyaya Senior Divisional Engineer Department of Railways Kathmandu, Nepal MT. EVEREST I NTRODUCTION INTRODUCTION MT. EVEREST INTRODUCTION The country is famous for the majestic Himalayas and surprising geographic beauty that includes pristine forests, crystal clear lakes, towering peaks, beautiful water falls and ancient valley cities. MT. GAURI-SHANKAR I NTRODUCTION INTRODUCTION AKE RARA L INTRODUCTION AKE RARA L INTRODUCTION AKE RARA L PHEWA LAKE I NTRODUCTION PHEWA LAKE AND POKHARA VALLEY I NTRODUCTION FROM SARANKOT POKHARA I NTRODUCTION SUN RISING I NTRODUCTION SIMAL TREE I NTRODUCTION WATER FALL I NTRODUCTION INTRODUCTION BUDDHA WAS BORN IN NEPAL INTRODUCTION BUDDHA WAS BORN IN NEPAL TRANSPORTATION Transport is central to economic growth and thereby economic development. To maintain sustainable growth in the economic and social sector, it is well accepted that transportation means and facilities should be developed accordingly. TRANSPORTATION Roads are the principal mode of transport in Nepal carrying 90% of freight and passenger traffic. ROAD At present Transportation needs of Nepal are being met by either roads or air travel. TRANSPORTATION The world over, growth of modern industry has moved along the railway network. This is because the railways can carry bigger quantities at a lower cost over long distances and that too in much lesser time. NEPAL RAILWAY NEPAL RAILWAY NEPAL RAILWAY NEPAL RAILWAY The history of Nepal Railways dates back to 1937. It was established by the then East India company. 51 kilometers from Bijalpura of Mahottari in Nepal to Jayanagar in India. Raxual-Amlekhgunj (40 km) Rani-Dharan (50 km) NEPAL RAILWAY Bijalpura-Jayanagar Heavy flood of 2001 in Bighi River in Mahottari washed away some parts of Railway Bridge, disrupting the services in Janakpur- Bijalpura sector (22 Km).
  • Pdf | 863.74 Kb

    Pdf | 863.74 Kb

    Civic Assessment Cope Volunteer Team: Report Dipashna Acharya | Mahesh Dahal | Shrey Regmi | Anup Cope Nepal Satyal | Himanshu Tripathi 08/31/2020 Introduction We are a group of volunteers whose sole purposes is to analyze publicly available data on the ongoing COVID-19 crisis in Nepal. We hope to provide insights to public and private stakeholders (Government bodies and I/NGOs), who might utilize some of the information for intervention and relief programs. **** A NOTE ON COVID DATA SOURCES **** For COVID-19 data, we rely on an API built by Nepal Coronavirus Information (website: https://nepalcorona.com/data/api). We have traced the API’s data source back to the National Disaster Risk Reduction and Management Authority (NDRRMA), which provides daily updates on each individual case identified in the country along with – for our purposes – the age, gender, occupation, geographic location (point-coordinates) of the same. As NDRRMA’s data has been structured and made available in API form by Nepal Coronavirus Information, we use the API and, as a result, have no direct link to NDRMMA’s systems and processes. Confirmed Cases The charts above show the progression of COVID-19 in Nepal ever since the first case was detected in January of this year. The chart on the left shows the growth in the total number of cumulative cases across the country. We note that while the total had started to stabilize around July, since August, the path is back to exponential growth. As of the day of writing 37340 cases have been identified across the country, of which 16284 cases are still active.
  • Mapping Flood Hazard and Risk in a Vulnerable Terai Region

    Mapping Flood Hazard and Risk in a Vulnerable Terai Region

    Chapter 2 Mapping Flood Hazard and Risk in a Vulnerable Terai Region: The Ratu Watershed Planted land on the banks of the Ratu Khola illustrates the risks floods pose to agriculture. Introduction The extent of natural hazards, losses and damage caused by them, and vulnerability to them at national and district levels were discussed in Chapter One. There is evidence that losses caused by floods have been increasing in the country as a whole and that the Terai and Inner Terai regions are affected the most. Experience shows that the adverse impact of flood disasters can be reduced substantially if appropriate disaster-preparedness plans and mitigation measures are developed and implemented. This chapter deals with the mapping and zoning of flood hazard, risk, and vulnerability in the Ratu Watershed. Hazard, risk, and vulnerability mapping and zoning are effective tools in this respect and provide a basis for devising appropriate preparedness plans and mitigation measures. In this context Ratu watershed in the Terai Region, a region that has been frequently affected by floods, was selected for a case study in order to develop an appropriate methodology by focusing on the use of remote-sensing techniques and GIS tools for mapping flood hazards, risks, and vulnerability. Ratu is not a unique watershed, its biophysical and socioeconomic settings are more or less similar to those of other rivers originating from the Middle Mountains and Siwaliks and draining the Terai physiographic region, which is prone to flooding, throughout the country. Hence it is expected that the findings of this study will be applicable for the Terai region of Nepal and the adjacent plains of the HKH region as a whole, and useful for an attempting to reduce the risk of and vulnerability to flood disasters This study was carried out by the International Centre for Integrated Mountain Development (ICIMOD), Kathmandu, Nepal, with support from the United Nations Education, Scientific and Cultural Organisation (UNESCO), New Delhi, India.
  • Study to Identify Appropriate Approach and Strategies for Sustainable Sanitation Intervention in Terai

    Study to Identify Appropriate Approach and Strategies for Sustainable Sanitation Intervention in Terai

    Study to Identify Appropriate Approach and Strategies for Sustainable Sanitation Intervention in Terai Prepared by Bishwa N Paudyal Senior Consultant P O Box: 7162, Kathmandu Tel: +977-1-5000572, 9851146055 For ESDMS/DWSS Panipokhari, Kathmandu, Nepal Table of Contents Abbreviations .................................................................................................................................. 4 CHAPTER – I: CONTEXT AND METHODOLOGY ................................................................................ 5 1. BACKGROUND: ........................................................................................................................ 5 2. SCOPE OF STUDY: .................................................................................................................... 6 3. METHODOLOGY:...................................................................................................................... 6 3.1. STUDY AREA:........................................................................................................................ 7 3.2. METHODS AND TOOLS: ....................................................................................................... 8 CHAPTER – II: COUNTRY CONTEXT AND FINDINGS ....................................................................... 10 1. COUNTRY CONTEXT:.............................................................................................................. 10 1.1 WASH IN NEPAL................................................................................................................