Assessing Kwa-Zulu-Natal’s progress towards malaria elimination and its readiness for sub-national verification View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Ryleen Balawanth, Inessa Ba, Bheki Qwabe, Laura Gast, Rajendra Maharaj, Jaishree Raman, Rebecca Graffy, Mbavhalelo Shandukani, Devanand Moonasar

ABSTRACT

BACKGROUND: The South African province of KwaZulu-Natal is rapidly approaching elimination status for malaria with a steady decline in local cases. With the possibility of achieving elimination in reach, the KZN malaria control programme conducted a critical evaluation of its practices and protocols to identify potential challenges and priorities to achieving elimination. Three fundamental questions were addressed: (1) How close is KZN to malaria elimination; (2) Are all systems required to pursue subnational verification of elimination in place; and (3) What priority interventions must be implemented to reduce local cases to zero? METHODS: Based on the 2017 World Health Organization Framework for Elimination, twenty-eight requirements were identified, from which forty-nine indicators to grade elimination progress were further stratified. Malaria data were extracted from the surveillance system and other programme data sources to calculate each indicator and semi-quantitatively rate performance into one of four categories to assess the provinces elimination preparedness. RESULTS: Across the key components a number of gaps were elucidated based on specific indicators. Out of the 49 indicators across these key components, 10 indicators (20%) were rated as fully implemented/well implemented, 11 indicators (22%) were rated as partially done/somewhat implemented/activity needs to be strengthened, and 12 indicators (24%) were rated as not done at all/not implemented/poor performance. Sixteen indicators (33%) could not be calculated due to lack of data or missing data. CONCLUSIONS: The critical self-evaluation of programme performance has allowed the KZN malaria programme to plan to address key issues moving forward. Based on the findings from the checklist review process, planning exercises were conducted to improve lower-rating indicators, and a monitoring and evaluation framework was created to assess progress on a monthly basis. This is scheduled to be reviewed annually to ensure continued progress toward meeting the elimination goal. In addition, multiple dissemination meetings were held with both provincial senior management and operational staff to ensure ownership of the checklist and its action plan at all levels. More... »

PAGES

108

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12936-019-2739-5

DOI

http://dx.doi.org/10.1186/s12936-019-2739-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1113172989

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30935418


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Clinton Health Access Initiative, Pretoria, Gauteng, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Balawanth", 
        "givenName": "Ryleen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Clinton Health Access Initiative, Pretoria, Gauteng, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ba", 
        "givenName": "Inessa", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "KwaZulu-Natal Department of Health, Jozini, KwaZulu-Natal, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qwabe", 
        "givenName": "Bheki", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Clinton Health Access Initiative, Pretoria, Gauteng, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gast", 
        "givenName": "Laura", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "South African Medical Research Council", 
          "id": "https://www.grid.ac/institutes/grid.415021.3", 
          "name": [
            "South African Medical Research Council, Durban, KwaZulu-Natal, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maharaj", 
        "givenName": "Rajendra", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Health Laboratory Service", 
          "id": "https://www.grid.ac/institutes/grid.416657.7", 
          "name": [
            "National Institute of Communicable Disease, Sandringham, Gauteng, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Raman", 
        "givenName": "Jaishree", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Clinton Health Access Initiative, Pretoria, Gauteng, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Graffy", 
        "givenName": "Rebecca", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Health", 
          "id": "https://www.grid.ac/institutes/grid.437959.5", 
          "name": [
            "National Institute of Communicable Disease, Sandringham, Gauteng, South Africa", 
            "South Africa National Department of Health, Pretoria, Gauteng, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shandukani", 
        "givenName": "Mbavhalelo", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Health", 
          "id": "https://www.grid.ac/institutes/grid.437959.5", 
          "name": [
            "National Institute of Communicable Disease, Sandringham, Gauteng, South Africa", 
            "South Africa National Department of Health, Pretoria, Gauteng, South Africa"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moonasar", 
        "givenName": "Devanand", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1475-2875-11-205", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027789521", 
          "https://doi.org/10.1186/1475-2875-11-205"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-016-1497-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029909901", 
          "https://doi.org/10.1186/s12936-016-1497-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-016-1497-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029909901", 
          "https://doi.org/10.1186/s12936-016-1497-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/trstmh/tru101", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060061788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1251449", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062469886"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: The South African province of KwaZulu-Natal is rapidly approaching elimination status for malaria with a steady decline in local cases. With the possibility of achieving elimination in reach, the KZN malaria control programme conducted a critical evaluation of its practices and protocols to identify potential challenges and priorities to achieving elimination. Three fundamental questions were addressed: (1) How close is KZN to malaria elimination; (2) Are all systems required to pursue subnational verification of elimination in place; and (3) What priority interventions must be implemented to reduce local cases to zero?\nMETHODS: Based on the 2017 World Health Organization Framework for Elimination, twenty-eight requirements were identified, from which forty-nine indicators to grade elimination progress were further stratified. Malaria data were extracted from the surveillance system and other programme data sources to calculate each indicator and semi-quantitatively rate performance into one of four categories to assess the provinces elimination preparedness.\nRESULTS: Across the key components a number of gaps were elucidated based on specific indicators. Out of the 49 indicators across these key components, 10 indicators (20%) were rated as fully implemented/well implemented, 11 indicators (22%) were rated as partially done/somewhat implemented/activity needs to be strengthened, and 12 indicators (24%) were rated as not done at all/not implemented/poor performance. Sixteen indicators (33%) could not be calculated due to lack of data or missing data.\nCONCLUSIONS: The critical self-evaluation of programme performance has allowed the KZN malaria programme to plan to address key issues moving forward. Based on the findings from the checklist review process, planning exercises were conducted to improve lower-rating indicators, and a monitoring and evaluation framework was created to assess progress on a monthly basis. This is scheduled to be reviewed annually to ensure continued progress toward meeting the elimination goal. In addition, multiple dissemination meetings were held with both provincial senior management and operational staff to ensure ownership of the checklist and its action plan at all levels.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12936-019-2739-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1030597", 
        "issn": [
          "1475-2875"
        ], 
        "name": "Malaria Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Assessing Kwa-Zulu-Natal\u2019s progress towards malaria elimination and its readiness for sub-national verification", 
    "pagination": "108", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12936-019-2739-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1113172989"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "602b2ab65ac7aef0ac57f070631eaa7acbf578d2a07748dd503e8c28c14fb282"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101139802"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30935418"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12936-019-2739-5", 
      "https://app.dimensions.ai/details/publication/pub.1113172989"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-16T06:23", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000377_0000000377/records_106819_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12936-019-2739-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2739-5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2739-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2739-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2739-5'


 

This table displays all metadata directly associated to this object as RDF triples.

146 TRIPLES      21 PREDICATES      33 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12936-019-2739-5 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N375eafe376bb4ac0b74fd3c5b4d71071
4 schema:citation sg:pub.10.1186/1475-2875-11-205
5 sg:pub.10.1186/s12936-016-1497-x
6 https://doi.org/10.1093/trstmh/tru101
7 https://doi.org/10.1126/science.1251449
8 schema:datePublished 2019-12
9 schema:datePublishedReg 2019-12-01
10 schema:description BACKGROUND: The South African province of KwaZulu-Natal is rapidly approaching elimination status for malaria with a steady decline in local cases. With the possibility of achieving elimination in reach, the KZN malaria control programme conducted a critical evaluation of its practices and protocols to identify potential challenges and priorities to achieving elimination. Three fundamental questions were addressed: (1) How close is KZN to malaria elimination; (2) Are all systems required to pursue subnational verification of elimination in place; and (3) What priority interventions must be implemented to reduce local cases to zero? METHODS: Based on the 2017 World Health Organization Framework for Elimination, twenty-eight requirements were identified, from which forty-nine indicators to grade elimination progress were further stratified. Malaria data were extracted from the surveillance system and other programme data sources to calculate each indicator and semi-quantitatively rate performance into one of four categories to assess the provinces elimination preparedness. RESULTS: Across the key components a number of gaps were elucidated based on specific indicators. Out of the 49 indicators across these key components, 10 indicators (20%) were rated as fully implemented/well implemented, 11 indicators (22%) were rated as partially done/somewhat implemented/activity needs to be strengthened, and 12 indicators (24%) were rated as not done at all/not implemented/poor performance. Sixteen indicators (33%) could not be calculated due to lack of data or missing data. CONCLUSIONS: The critical self-evaluation of programme performance has allowed the KZN malaria programme to plan to address key issues moving forward. Based on the findings from the checklist review process, planning exercises were conducted to improve lower-rating indicators, and a monitoring and evaluation framework was created to assess progress on a monthly basis. This is scheduled to be reviewed annually to ensure continued progress toward meeting the elimination goal. In addition, multiple dissemination meetings were held with both provincial senior management and operational staff to ensure ownership of the checklist and its action plan at all levels.
11 schema:genre research_article
12 schema:inLanguage en
13 schema:isAccessibleForFree true
14 schema:isPartOf N17664e566de7422980bae929100badba
15 Nab9cd98e049a4fc78f19d4680e96ce22
16 sg:journal.1030597
17 schema:name Assessing Kwa-Zulu-Natal’s progress towards malaria elimination and its readiness for sub-national verification
18 schema:pagination 108
19 schema:productId N110e74987f8f4ad896ff6e381991b9ff
20 N221c42d57bde43bbba5a829d51e34bb6
21 N331aa79d21dc4f649bc754f1c550754a
22 N44e9198c04624352bbfc005ee0b7449b
23 Nc6390c4f5c3e45ff8cccdc2b5215adf4
24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113172989
25 https://doi.org/10.1186/s12936-019-2739-5
26 schema:sdDatePublished 2019-04-16T06:23
27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
28 schema:sdPublisher Ne856efc5ece944d3a6785cf15f3d3a65
29 schema:url https://link.springer.com/10.1186%2Fs12936-019-2739-5
30 sgo:license sg:explorer/license/
31 sgo:sdDataset articles
32 rdf:type schema:ScholarlyArticle
33 N0666c1a7cea84c5498defc55f7aee6c6 rdf:first N6ab3b171f54843148cc7dbcda2a24370
34 rdf:rest Ne818fab2cb954fa29097f379ba0ba0a5
35 N0a282732a1724c65be5139cf93f1886f rdf:first Nd27f758dc40a4b79ad102739658a3ffb
36 rdf:rest N0666c1a7cea84c5498defc55f7aee6c6
37 N110e74987f8f4ad896ff6e381991b9ff schema:name readcube_id
38 schema:value 602b2ab65ac7aef0ac57f070631eaa7acbf578d2a07748dd503e8c28c14fb282
39 rdf:type schema:PropertyValue
40 N17664e566de7422980bae929100badba schema:volumeNumber 18
41 rdf:type schema:PublicationVolume
42 N1c82a144faab4036a11d51c0415c31b2 schema:affiliation https://www.grid.ac/institutes/grid.415021.3
43 schema:familyName Maharaj
44 schema:givenName Rajendra
45 rdf:type schema:Person
46 N1d589332e35e4c5480d8d42d4ee753ca rdf:first Nb65aa47536cc40fb85625f67ee65517a
47 rdf:rest Nff2501bfd5cd44579de39bbf6aa6a66e
48 N221c42d57bde43bbba5a829d51e34bb6 schema:name nlm_unique_id
49 schema:value 101139802
50 rdf:type schema:PropertyValue
51 N331aa79d21dc4f649bc754f1c550754a schema:name doi
52 schema:value 10.1186/s12936-019-2739-5
53 rdf:type schema:PropertyValue
54 N375eafe376bb4ac0b74fd3c5b4d71071 rdf:first N4bee8399a69541b4a59176ecfbf68ed8
55 rdf:rest N1d589332e35e4c5480d8d42d4ee753ca
56 N44e9198c04624352bbfc005ee0b7449b schema:name pubmed_id
57 schema:value 30935418
58 rdf:type schema:PropertyValue
59 N47660fa637e04b149b3e521d47f631ee schema:name Clinton Health Access Initiative, Pretoria, Gauteng, South Africa
60 rdf:type schema:Organization
61 N4bee8399a69541b4a59176ecfbf68ed8 schema:affiliation N47660fa637e04b149b3e521d47f631ee
62 schema:familyName Balawanth
63 schema:givenName Ryleen
64 rdf:type schema:Person
65 N59c7f529a9fd403487ae13d90954ce64 schema:affiliation https://www.grid.ac/institutes/grid.437959.5
66 schema:familyName Moonasar
67 schema:givenName Devanand
68 rdf:type schema:Person
69 N6ab3b171f54843148cc7dbcda2a24370 schema:affiliation https://www.grid.ac/institutes/grid.437959.5
70 schema:familyName Shandukani
71 schema:givenName Mbavhalelo
72 rdf:type schema:Person
73 N84e2cafcbdff4d839edc05810cd44002 schema:affiliation Ndc01108561c9411fb8dadb924a3cd9ad
74 schema:familyName Qwabe
75 schema:givenName Bheki
76 rdf:type schema:Person
77 N86ed76a0a19e4129b36105537b6ede82 rdf:first Nabf6492d79534a81ade37b9faaf44206
78 rdf:rest N0a282732a1724c65be5139cf93f1886f
79 N8accad31d23b4171a60cd87772018907 rdf:first N1c82a144faab4036a11d51c0415c31b2
80 rdf:rest N86ed76a0a19e4129b36105537b6ede82
81 N8f875b30c24e4ceb9c492cd9d83debce schema:affiliation Ne331f328b5dd4e3bb908550834e86d89
82 schema:familyName Gast
83 schema:givenName Laura
84 rdf:type schema:Person
85 Nab9cd98e049a4fc78f19d4680e96ce22 schema:issueNumber 1
86 rdf:type schema:PublicationIssue
87 Nabf6492d79534a81ade37b9faaf44206 schema:affiliation https://www.grid.ac/institutes/grid.416657.7
88 schema:familyName Raman
89 schema:givenName Jaishree
90 rdf:type schema:Person
91 Nb65aa47536cc40fb85625f67ee65517a schema:affiliation Nf64cd4fc1b5d4d858cebd1d1637af616
92 schema:familyName Ba
93 schema:givenName Inessa
94 rdf:type schema:Person
95 Nc6390c4f5c3e45ff8cccdc2b5215adf4 schema:name dimensions_id
96 schema:value pub.1113172989
97 rdf:type schema:PropertyValue
98 Nd27f758dc40a4b79ad102739658a3ffb schema:affiliation Ne04209585be94da1b8e4db5629d88eb3
99 schema:familyName Graffy
100 schema:givenName Rebecca
101 rdf:type schema:Person
102 Ndc01108561c9411fb8dadb924a3cd9ad schema:name KwaZulu-Natal Department of Health, Jozini, KwaZulu-Natal, South Africa
103 rdf:type schema:Organization
104 Nde35efd2b44f478a950ae86a9f7622b0 rdf:first N8f875b30c24e4ceb9c492cd9d83debce
105 rdf:rest N8accad31d23b4171a60cd87772018907
106 Ne04209585be94da1b8e4db5629d88eb3 schema:name Clinton Health Access Initiative, Pretoria, Gauteng, South Africa
107 rdf:type schema:Organization
108 Ne331f328b5dd4e3bb908550834e86d89 schema:name Clinton Health Access Initiative, Pretoria, Gauteng, South Africa
109 rdf:type schema:Organization
110 Ne818fab2cb954fa29097f379ba0ba0a5 rdf:first N59c7f529a9fd403487ae13d90954ce64
111 rdf:rest rdf:nil
112 Ne856efc5ece944d3a6785cf15f3d3a65 schema:name Springer Nature - SN SciGraph project
113 rdf:type schema:Organization
114 Nf64cd4fc1b5d4d858cebd1d1637af616 schema:name Clinton Health Access Initiative, Pretoria, Gauteng, South Africa
115 rdf:type schema:Organization
116 Nff2501bfd5cd44579de39bbf6aa6a66e rdf:first N84e2cafcbdff4d839edc05810cd44002
117 rdf:rest Nde35efd2b44f478a950ae86a9f7622b0
118 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
119 schema:name Medical and Health Sciences
120 rdf:type schema:DefinedTerm
121 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
122 schema:name Public Health and Health Services
123 rdf:type schema:DefinedTerm
124 sg:journal.1030597 schema:issn 1475-2875
125 schema:name Malaria Journal
126 rdf:type schema:Periodical
127 sg:pub.10.1186/1475-2875-11-205 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027789521
128 https://doi.org/10.1186/1475-2875-11-205
129 rdf:type schema:CreativeWork
130 sg:pub.10.1186/s12936-016-1497-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029909901
131 https://doi.org/10.1186/s12936-016-1497-x
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1093/trstmh/tru101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060061788
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1126/science.1251449 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062469886
136 rdf:type schema:CreativeWork
137 https://www.grid.ac/institutes/grid.415021.3 schema:alternateName South African Medical Research Council
138 schema:name South African Medical Research Council, Durban, KwaZulu-Natal, South Africa
139 rdf:type schema:Organization
140 https://www.grid.ac/institutes/grid.416657.7 schema:alternateName National Health Laboratory Service
141 schema:name National Institute of Communicable Disease, Sandringham, Gauteng, South Africa
142 rdf:type schema:Organization
143 https://www.grid.ac/institutes/grid.437959.5 schema:alternateName Department of Health
144 schema:name National Institute of Communicable Disease, Sandringham, Gauteng, South Africa
145 South Africa National Department of Health, Pretoria, Gauteng, South Africa
146 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...