Investigating the upsurge of malaria prevalence in Zambia between 2010 and 2015: a decomposition of determinants View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Mukumbuta Nawa, Peter Hangoma, Andrew P. Morse, Charles Michelo

ABSTRACT

BACKGROUND: Malaria is among the top causes of mortality and morbidity in Zambia. Efforts to control, prevent, and eliminate it have been intensified in the past two decades which has contributed to reductions in malaria prevalence and under-five mortality. However, there was a 21% upsurge in malaria prevalence between 2010 and 2015. Zambia is one of the only 13 countries to record an increase in malaria among 91 countries monitored by the World Health Organization in 2015. This study investigated the upsurge by decomposition of drivers of malaria. METHODS: The study used secondary data from three waves of nationally representative cross-sectional surveys on key malaria indicators conducted in 2010, 2012 and 2015. Using multivariable logistic regression, determinants of malaria prevalence were identified and then marginal effects of each determinant were derived. The marginal effects were then combined with changes in coverage rates of determinants between 2010 and 2015 to obtain the magnitude of how much each variable contributed to the change in the malaria prevalence. RESULTS: The odds ratio of malaria for those who slept under an insecticide-treated net (ITN) was 0.90 (95% CI 0.77-0.97), indoor residual spraying (IRS) was 0.66 (95% CI 0.49-0.89), urban residence was 0.23 (95% CI 0.15-0.37), standard house was 0.40 (95% CI 0.35-0.71) and age group 12-59 Months against those below 12 months was 4.04 (95% CI 2.80-5.81). Decomposition of prevalence changes by determinants showed that IRS reduced malaria prevalence by - 0.3% and ITNs by - 0.2% however, these reductions were overridden by increases in prevalence due to increases in the proportion of more at-risk children aged 12-59 months by + 2.3% and rural residents by + 2.2%. CONCLUSION: The increases in interventions, such as ITNs and IRS, were shown to have contributed to malaria reduction in 2015; however, changes in demographics such as increases in the proportion of more at risk groups among under-five children and rural residents may have overridden the impact of these interventions and resulted in an overall increase. The upsurge in malaria in 2015 compared to 2010 may not have been due to weaknesses in programme interventions but due to increases in more at-risk children and rural residents compared to 2010. The apparent increase in rural residents in the sample population may not have been a true reflection of the population structure but due to oversampling in rural areas which was not fully adjusted for. The increase in malaria prevalence may therefore have been overestimated. More... »

PAGES

61

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12936-019-2698-x

DOI

http://dx.doi.org/10.1186/s12936-019-2698-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112606614

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30845998


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": {
          "alternateName": "University of Zambia", 
          "id": "https://www.grid.ac/institutes/grid.12984.36", 
          "name": [
            "School of Public Health, University of Zambia, Ridgeway Campus, Lusaka, Zambia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nawa", 
        "givenName": "Mukumbuta", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Zambia", 
          "id": "https://www.grid.ac/institutes/grid.12984.36", 
          "name": [
            "School of Public Health, University of Zambia, Ridgeway Campus, Lusaka, Zambia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hangoma", 
        "givenName": "Peter", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Liverpool", 
          "id": "https://www.grid.ac/institutes/grid.10025.36", 
          "name": [
            "Department of Geography and Planning, University of Liverpool, Liverpool, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morse", 
        "givenName": "Andrew P.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Zambia", 
          "id": "https://www.grid.ac/institutes/grid.12984.36", 
          "name": [
            "School of Public Health, University of Zambia, Ridgeway Campus, Lusaka, Zambia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Michelo", 
        "givenName": "Charles", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1155/2012/819563", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001307834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-3156.2002.00928.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004043242"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-016-1411-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007705694", 
          "https://doi.org/10.1186/s12936-016-1411-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-016-1411-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007705694", 
          "https://doi.org/10.1186/s12936-016-1411-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actatropica.2016.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011311969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature15535", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013049291", 
          "https://doi.org/10.1038/nature15535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2012.11-0620", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014022536"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa1303944", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016840182"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-015-0849-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019921551", 
          "https://doi.org/10.1186/s12936-015-0849-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-015-0849-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019921551", 
          "https://doi.org/10.1186/s12936-015-0849-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2221-1691(13)60030-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020536997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-3305-7-442", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022580465", 
          "https://doi.org/10.1186/1756-3305-7-442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2875-12-364", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023138114", 
          "https://doi.org/10.1186/1475-2875-12-364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pmed.0040309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029444974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-3462-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034876164", 
          "https://doi.org/10.1007/978-1-4757-3462-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4757-3462-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034876164", 
          "https://doi.org/10.1007/978-1-4757-3462-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0272989x0102100106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038050380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0272989x0102100106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038050380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-016-1290-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038937941", 
          "https://doi.org/10.1186/s12936-016-1290-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0031182015001626", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040016873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-015-0543-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043796364", 
          "https://doi.org/10.1186/s12936-015-0543-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-015-0543-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043796364", 
          "https://doi.org/10.1186/s12936-015-0543-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/14651858.cd000363.pub2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045995413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2875-13-220", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046544872", 
          "https://doi.org/10.1186/1475-2875-13-220"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/14651858.cd003756.pub4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052447440"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0156717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052962277"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/trstmh/trv049", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060061893"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.15-0283", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072430732"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.16-0011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072430983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.1995.52.377", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082500961"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0175537", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084754192"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-017-1848-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085596360", 
          "https://doi.org/10.1186/s12936-017-1848-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-017-1848-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085596360", 
          "https://doi.org/10.1186/s12936-017-1848-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.21767/2573-0320.100009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092681016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2542-5196(18)30009-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100940256"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-018-2314-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103627263", 
          "https://doi.org/10.1186/s12936-018-2314-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-018-2314-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103627263", 
          "https://doi.org/10.1186/s12936-018-2314-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12936-018-2550-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107916720", 
          "https://doi.org/10.1186/s12936-018-2550-8"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "BACKGROUND: Malaria is among the top causes of mortality and morbidity in Zambia. Efforts to control, prevent, and eliminate it have been intensified in the past two decades which has contributed to reductions in malaria prevalence and under-five mortality. However, there was a 21% upsurge in malaria prevalence between 2010 and 2015. Zambia is one of the only 13 countries to record an increase in malaria among 91 countries monitored by the World Health Organization in 2015. This study investigated the upsurge by decomposition of drivers of malaria.\nMETHODS: The study used secondary data from three waves of nationally representative cross-sectional surveys on key malaria indicators conducted in 2010, 2012 and 2015. Using multivariable logistic regression, determinants of malaria prevalence were identified and then marginal effects of each determinant were derived. The marginal effects were then combined with changes in coverage rates of determinants between 2010 and 2015 to obtain the magnitude of how much each variable contributed to the change in the malaria prevalence.\nRESULTS: The odds ratio of malaria for those who slept under an insecticide-treated net (ITN) was 0.90 (95% CI 0.77-0.97), indoor residual spraying (IRS) was 0.66 (95% CI 0.49-0.89), urban residence was 0.23 (95% CI 0.15-0.37), standard house was 0.40 (95% CI 0.35-0.71) and age group 12-59 Months against those below 12\u00a0months was 4.04 (95% CI 2.80-5.81). Decomposition of prevalence changes by determinants showed that IRS reduced malaria prevalence by -\u20090.3% and ITNs by -\u20090.2% however, these reductions were overridden by increases in prevalence due to increases in the proportion of more at-risk children aged 12-59\u00a0months by +\u20092.3% and rural residents by +\u20092.2%.\nCONCLUSION: The increases in interventions, such as ITNs and IRS, were shown to have contributed to malaria reduction in 2015; however, changes in demographics such as increases in the proportion of more at risk groups among under-five children and rural residents may have overridden the impact of these interventions and resulted in an overall increase. The upsurge in malaria in 2015 compared to 2010 may not have been due to weaknesses in programme interventions but due to increases in more at-risk children and rural residents compared to 2010. The apparent increase in rural residents in the sample population may not have been a true reflection of the population structure but due to oversampling in rural areas which was not fully adjusted for. The increase in malaria prevalence may therefore have been overestimated.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12936-019-2698-x", 
    "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": "Investigating the upsurge of malaria prevalence in Zambia between 2010 and 2015: a decomposition of determinants", 
    "pagination": "61", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "76e70b852e3b955c2e768ebe5d9a6b4e6cd8ddb44b186684cb2ad1a84a4857b8"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30845998"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101139802"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12936-019-2698-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1112606614"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12936-019-2698-x", 
      "https://app.dimensions.ai/details/publication/pub.1112606614"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:20", 
    "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/v90/0000000368_0000000368/records_78964_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs12936-019-2698-x"
  }
]
 

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/s12936-019-2698-x'

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/s12936-019-2698-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2698-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12936-019-2698-x'


 

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

193 TRIPLES      21 PREDICATES      60 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12936-019-2698-x schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N4a0692baa1cb43a2b0cc6545d97202e6
4 schema:citation sg:pub.10.1007/978-1-4757-3462-1
5 sg:pub.10.1038/nature15535
6 sg:pub.10.1186/1475-2875-12-364
7 sg:pub.10.1186/1475-2875-13-220
8 sg:pub.10.1186/1756-3305-7-442
9 sg:pub.10.1186/s12936-015-0543-4
10 sg:pub.10.1186/s12936-015-0849-2
11 sg:pub.10.1186/s12936-016-1290-x
12 sg:pub.10.1186/s12936-016-1411-6
13 sg:pub.10.1186/s12936-017-1848-2
14 sg:pub.10.1186/s12936-018-2314-5
15 sg:pub.10.1186/s12936-018-2550-8
16 https://doi.org/10.1002/14651858.cd000363.pub2
17 https://doi.org/10.1002/14651858.cd003756.pub4
18 https://doi.org/10.1016/j.actatropica.2016.11.007
19 https://doi.org/10.1016/s2221-1691(13)60030-1
20 https://doi.org/10.1016/s2542-5196(18)30009-3
21 https://doi.org/10.1017/s0031182015001626
22 https://doi.org/10.1046/j.1365-3156.2002.00928.x
23 https://doi.org/10.1056/nejmoa1303944
24 https://doi.org/10.1093/trstmh/trv049
25 https://doi.org/10.1155/2012/819563
26 https://doi.org/10.1177/0272989x0102100106
27 https://doi.org/10.1371/journal.pmed.0040309
28 https://doi.org/10.1371/journal.pone.0156717
29 https://doi.org/10.1371/journal.pone.0175537
30 https://doi.org/10.21767/2573-0320.100009
31 https://doi.org/10.4269/ajtmh.15-0283
32 https://doi.org/10.4269/ajtmh.16-0011
33 https://doi.org/10.4269/ajtmh.1995.52.377
34 https://doi.org/10.4269/ajtmh.2012.11-0620
35 schema:datePublished 2019-12
36 schema:datePublishedReg 2019-12-01
37 schema:description BACKGROUND: Malaria is among the top causes of mortality and morbidity in Zambia. Efforts to control, prevent, and eliminate it have been intensified in the past two decades which has contributed to reductions in malaria prevalence and under-five mortality. However, there was a 21% upsurge in malaria prevalence between 2010 and 2015. Zambia is one of the only 13 countries to record an increase in malaria among 91 countries monitored by the World Health Organization in 2015. This study investigated the upsurge by decomposition of drivers of malaria. METHODS: The study used secondary data from three waves of nationally representative cross-sectional surveys on key malaria indicators conducted in 2010, 2012 and 2015. Using multivariable logistic regression, determinants of malaria prevalence were identified and then marginal effects of each determinant were derived. The marginal effects were then combined with changes in coverage rates of determinants between 2010 and 2015 to obtain the magnitude of how much each variable contributed to the change in the malaria prevalence. RESULTS: The odds ratio of malaria for those who slept under an insecticide-treated net (ITN) was 0.90 (95% CI 0.77-0.97), indoor residual spraying (IRS) was 0.66 (95% CI 0.49-0.89), urban residence was 0.23 (95% CI 0.15-0.37), standard house was 0.40 (95% CI 0.35-0.71) and age group 12-59 Months against those below 12 months was 4.04 (95% CI 2.80-5.81). Decomposition of prevalence changes by determinants showed that IRS reduced malaria prevalence by - 0.3% and ITNs by - 0.2% however, these reductions were overridden by increases in prevalence due to increases in the proportion of more at-risk children aged 12-59 months by + 2.3% and rural residents by + 2.2%. CONCLUSION: The increases in interventions, such as ITNs and IRS, were shown to have contributed to malaria reduction in 2015; however, changes in demographics such as increases in the proportion of more at risk groups among under-five children and rural residents may have overridden the impact of these interventions and resulted in an overall increase. The upsurge in malaria in 2015 compared to 2010 may not have been due to weaknesses in programme interventions but due to increases in more at-risk children and rural residents compared to 2010. The apparent increase in rural residents in the sample population may not have been a true reflection of the population structure but due to oversampling in rural areas which was not fully adjusted for. The increase in malaria prevalence may therefore have been overestimated.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree true
41 schema:isPartOf N97e515cd79094f4a8a8484caf5d233a9
42 Nc95288dd605740e7b7fb8ec703742d5e
43 sg:journal.1030597
44 schema:name Investigating the upsurge of malaria prevalence in Zambia between 2010 and 2015: a decomposition of determinants
45 schema:pagination 61
46 schema:productId N146c22f4d8d74c99a938c1e2b4cf1f2a
47 N53dfd5fe9e1d4852ac85e573a5a667fd
48 N66bc652700bb4dfb80a2bb9e354723c6
49 N686448109b9e4c779241040eb1901834
50 Nf5ad0069b454470caae74e441aca04d8
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112606614
52 https://doi.org/10.1186/s12936-019-2698-x
53 schema:sdDatePublished 2019-04-11T13:20
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N57a1c4cd519a4b9b8025ca08d4ee815a
56 schema:url https://link.springer.com/10.1186%2Fs12936-019-2698-x
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N146c22f4d8d74c99a938c1e2b4cf1f2a schema:name nlm_unique_id
61 schema:value 101139802
62 rdf:type schema:PropertyValue
63 N2bc21a4185a847d7803410db0a8b7b6a schema:affiliation https://www.grid.ac/institutes/grid.10025.36
64 schema:familyName Morse
65 schema:givenName Andrew P.
66 rdf:type schema:Person
67 N420570d8534a4fcb82cb58d436e6f7cf schema:affiliation https://www.grid.ac/institutes/grid.12984.36
68 schema:familyName Hangoma
69 schema:givenName Peter
70 rdf:type schema:Person
71 N4a0692baa1cb43a2b0cc6545d97202e6 rdf:first Na4e7589086af413a83e39ec571b6e105
72 rdf:rest N4a30aed06bbb4c08b3b42eb011f60c1c
73 N4a30aed06bbb4c08b3b42eb011f60c1c rdf:first N420570d8534a4fcb82cb58d436e6f7cf
74 rdf:rest N4d91448f6309461bb9f62803e418b18c
75 N4d91448f6309461bb9f62803e418b18c rdf:first N2bc21a4185a847d7803410db0a8b7b6a
76 rdf:rest Nddccd71390c14946bab08cb6db2a1f53
77 N53dfd5fe9e1d4852ac85e573a5a667fd schema:name dimensions_id
78 schema:value pub.1112606614
79 rdf:type schema:PropertyValue
80 N57a1c4cd519a4b9b8025ca08d4ee815a schema:name Springer Nature - SN SciGraph project
81 rdf:type schema:Organization
82 N66bc652700bb4dfb80a2bb9e354723c6 schema:name doi
83 schema:value 10.1186/s12936-019-2698-x
84 rdf:type schema:PropertyValue
85 N686448109b9e4c779241040eb1901834 schema:name readcube_id
86 schema:value 76e70b852e3b955c2e768ebe5d9a6b4e6cd8ddb44b186684cb2ad1a84a4857b8
87 rdf:type schema:PropertyValue
88 N956a3af1e8b944c09d3897ca2edbed01 schema:affiliation https://www.grid.ac/institutes/grid.12984.36
89 schema:familyName Michelo
90 schema:givenName Charles
91 rdf:type schema:Person
92 N97e515cd79094f4a8a8484caf5d233a9 schema:issueNumber 1
93 rdf:type schema:PublicationIssue
94 Na4e7589086af413a83e39ec571b6e105 schema:affiliation https://www.grid.ac/institutes/grid.12984.36
95 schema:familyName Nawa
96 schema:givenName Mukumbuta
97 rdf:type schema:Person
98 Nc95288dd605740e7b7fb8ec703742d5e schema:volumeNumber 18
99 rdf:type schema:PublicationVolume
100 Nddccd71390c14946bab08cb6db2a1f53 rdf:first N956a3af1e8b944c09d3897ca2edbed01
101 rdf:rest rdf:nil
102 Nf5ad0069b454470caae74e441aca04d8 schema:name pubmed_id
103 schema:value 30845998
104 rdf:type schema:PropertyValue
105 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
106 schema:name Medical and Health Sciences
107 rdf:type schema:DefinedTerm
108 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
109 schema:name Public Health and Health Services
110 rdf:type schema:DefinedTerm
111 sg:journal.1030597 schema:issn 1475-2875
112 schema:name Malaria Journal
113 rdf:type schema:Periodical
114 sg:pub.10.1007/978-1-4757-3462-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034876164
115 https://doi.org/10.1007/978-1-4757-3462-1
116 rdf:type schema:CreativeWork
117 sg:pub.10.1038/nature15535 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013049291
118 https://doi.org/10.1038/nature15535
119 rdf:type schema:CreativeWork
120 sg:pub.10.1186/1475-2875-12-364 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023138114
121 https://doi.org/10.1186/1475-2875-12-364
122 rdf:type schema:CreativeWork
123 sg:pub.10.1186/1475-2875-13-220 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046544872
124 https://doi.org/10.1186/1475-2875-13-220
125 rdf:type schema:CreativeWork
126 sg:pub.10.1186/1756-3305-7-442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022580465
127 https://doi.org/10.1186/1756-3305-7-442
128 rdf:type schema:CreativeWork
129 sg:pub.10.1186/s12936-015-0543-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043796364
130 https://doi.org/10.1186/s12936-015-0543-4
131 rdf:type schema:CreativeWork
132 sg:pub.10.1186/s12936-015-0849-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019921551
133 https://doi.org/10.1186/s12936-015-0849-2
134 rdf:type schema:CreativeWork
135 sg:pub.10.1186/s12936-016-1290-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1038937941
136 https://doi.org/10.1186/s12936-016-1290-x
137 rdf:type schema:CreativeWork
138 sg:pub.10.1186/s12936-016-1411-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007705694
139 https://doi.org/10.1186/s12936-016-1411-6
140 rdf:type schema:CreativeWork
141 sg:pub.10.1186/s12936-017-1848-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085596360
142 https://doi.org/10.1186/s12936-017-1848-2
143 rdf:type schema:CreativeWork
144 sg:pub.10.1186/s12936-018-2314-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103627263
145 https://doi.org/10.1186/s12936-018-2314-5
146 rdf:type schema:CreativeWork
147 sg:pub.10.1186/s12936-018-2550-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107916720
148 https://doi.org/10.1186/s12936-018-2550-8
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1002/14651858.cd000363.pub2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045995413
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1002/14651858.cd003756.pub4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052447440
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/j.actatropica.2016.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011311969
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/s2221-1691(13)60030-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020536997
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/s2542-5196(18)30009-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100940256
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1017/s0031182015001626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040016873
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1046/j.1365-3156.2002.00928.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1004043242
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1056/nejmoa1303944 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016840182
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1093/trstmh/trv049 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060061893
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1155/2012/819563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001307834
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1177/0272989x0102100106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038050380
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1371/journal.pmed.0040309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029444974
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1371/journal.pone.0156717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052962277
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1371/journal.pone.0175537 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084754192
177 rdf:type schema:CreativeWork
178 https://doi.org/10.21767/2573-0320.100009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092681016
179 rdf:type schema:CreativeWork
180 https://doi.org/10.4269/ajtmh.15-0283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072430732
181 rdf:type schema:CreativeWork
182 https://doi.org/10.4269/ajtmh.16-0011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072430983
183 rdf:type schema:CreativeWork
184 https://doi.org/10.4269/ajtmh.1995.52.377 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082500961
185 rdf:type schema:CreativeWork
186 https://doi.org/10.4269/ajtmh.2012.11-0620 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014022536
187 rdf:type schema:CreativeWork
188 https://www.grid.ac/institutes/grid.10025.36 schema:alternateName University of Liverpool
189 schema:name Department of Geography and Planning, University of Liverpool, Liverpool, UK
190 rdf:type schema:Organization
191 https://www.grid.ac/institutes/grid.12984.36 schema:alternateName University of Zambia
192 schema:name School of Public Health, University of Zambia, Ridgeway Campus, Lusaka, Zambia
193 rdf:type schema:Organization
 




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


...