Docling/tests/data/groundtruth/docling_v2/pntd.0008301.xml.itxt

item-0 at level 0: unspecified: group _root_
  item-1 at level 1: title: Risk factors associated with fai ... s: Results of a multi-country analysis
    item-2 at level 2: paragraph: Clara R. Burgert-Brucker, Kathry ... garet Baker, John Kraemer, Molly Brady
    item-3 at level 2: paragraph: Global Health Division, RTI Inte ... shington, DC, United States of America
    item-4 at level 2: section_header: Abstract
      item-5 at level 3: text: Achieving elimination of lymphat ... as at highest risk of failing pre-TAS.
    item-6 at level 2: section_header: Author summary
      item-7 at level 3: text: Achieving elimination of lymphat ... ine prevalence and/or lower elevation.
    item-8 at level 2: section_header: Introduction
      item-9 at level 3: text: Lymphatic filariasis (LF), a dis ... 8 countries remain endemic for LF [3].
      item-10 at level 3: text: The road to elimination as a pub ... t elimination be officially validated.
      item-11 at level 3: text: Pre-TAS include at least one sen ... me of day that blood can be taken [5].
      item-12 at level 3: text: When a country fails to meet the ... o ensure rounds of MDA are not missed.
      item-13 at level 3: text: This study aims to understand wh ... e of limited LF elimination resources.
    item-14 at level 2: section_header: Methods
      item-15 at level 3: text: This is a secondary data analysi ... rch; no ethical approval was required.
      item-16 at level 3: text: Building on previous work, we de ... available global geospatial data sets.
      item-17 at level 3: table with [18x8]
        item-17 at level 4: caption: Table 1 Categorization of potential factors influencing pre-TAS results.
      item-18 at level 3: section_header: Data sources
        item-19 at level 4: text: Information on baseline prevalen ...  publicly available sources (Table 1).
      item-20 at level 3: section_header: Outcome and covariate variables
        item-21 at level 4: text: The outcome of interest for this ... r than or equal to 1% Mf or 2% Ag [4].
        item-22 at level 4: text: Potential covariates were derive ... is and the final categorizations used.
        item-23 at level 4: section_header: Baseline prevalence
          item-24 at level 5: text: Baseline prevalence can be assum ... (2) using the cut-off of <10% or ≥10%.
        item-25 at level 4: section_header: Agent
          item-26 at level 5: text: In terms of differences in trans ... dazole (DEC-ALB)] from the MDA domain.
        item-27 at level 4: section_header: Environment
          item-28 at level 5: text: LF transmission intensity is inf ... dicates a higher level of “greenness.”
          item-29 at level 5: text: We included the socio-economic v ...  proxy for socio-economic status [33].
          item-30 at level 5: text: Finally, all or parts of distric ... s were co-endemic with onchocerciasis.
        item-31 at level 4: section_header: MDA
          item-32 at level 5: text: Treatment effectiveness depends  ... esent a threat to elimination [41,42].
          item-33 at level 5: text: We considered three approaches w ... unds ever documented in that district.
        item-34 at level 4: section_header: Pre-TAS implementation
          item-35 at level 5: text: Pre-TAS results can be influence ... d throughout the time period of study.
      item-36 at level 3: section_header: Data inclusion criteria
        item-37 at level 4: text: The dataset, summarized at the d ... al analysis dataset had 554 districts.
      item-38 at level 3: section_header: Statistical analysis and modeling
        item-39 at level 4: text: Statistical analysis and modelin ... d the number of variables accordingly.
        item-40 at level 4: text: Sensitivity analysis was perform ... ot have been truly LF-endemic [43,44].
    item-41 at level 2: section_header: Results
      item-42 at level 3: text: The overall pre-TAS pass rate fo ... ts had baseline prevalences below 20%.
      item-43 at level 3: picture
        item-43 at level 4: caption: Fig 1 Number of pre-TAS by country.
      item-44 at level 3: picture
        item-44 at level 4: caption: Fig 2 District-level baseline prevalence by country.
      item-45 at level 3: text: Fig 3 shows the unadjusted analy ... overage, and sufficient rounds of MDA.
      item-46 at level 3: picture
        item-46 at level 4: caption: Fig 3 Percent pre-TAS failure by each characteristic (unadjusted).
      item-47 at level 3: text: The final log-binomial model inc ... igh baseline and diagnostic test used.
      item-48 at level 3: text: Fig 4 shows the risk ratio resul ... of failing pre-TAS (95% CI 1.95–4.83).
      item-49 at level 3: picture
        item-49 at level 4: caption: Fig 4 Adjusted risk ratios for pre-TAS failure with 95% Confidence Interval from log-binomial model.
      item-50 at level 3: text: Sensitivity analyses were conduc ... gnified by large confidence intervals.
      item-51 at level 3: table with [11x6]
        item-51 at level 4: caption: Table 2 Adjusted risk ratios for pre-TAS failure from log-binomial model sensitivity analysis.
      item-52 at level 3: text: Overall 74 districts in the data ... or 51% of all the failures (38 of 74).
      item-53 at level 3: picture
        item-53 at level 4: caption: Fig 5 Analysis of failures by model combinations.
    item-54 at level 2: section_header: Discussion
      item-55 at level 3: text: This paper reports for the first ... ctors associated with TAS failure [7].
      item-56 at level 3: text: Though diagnostic test used was  ...  FTS was more sensitive than ICT [45].
      item-57 at level 3: text: Elevation was the only environme ... ich impact vector chances of survival.
      item-58 at level 3: text: The small number of failures ove ... search has shown the opposite [15,16].
      item-59 at level 3: text: All other variables included in  ... are not necessary to lower prevalence.
      item-60 at level 3: text: Limitations to this study includ ...  reducing LF prevalence [41,48,51–53].
      item-61 at level 3: text: Fourteen districts were excluded ... ta to extreme outliners in a district.
      item-62 at level 3: text: As this analysis used data acros ... of individuals included in the survey.
      item-63 at level 3: text: This paper provides evidence fro ... th high baseline and/or low elevation.
    item-64 at level 2: section_header: Acknowledgments
      item-65 at level 3: text: The authors would like to thank  ... e surveys financially and technically.
    item-66 at level 2: section_header: References
      item-67 at level 3: list: group list
        item-68 at level 4: list_item: World Health Organization. Lymph ... trategic plan 2010–2020. Geneva; 2010.
        item-69 at level 4: list_item: World Health Organization. Valid ... a public health problem. Geneva; 2017.
        item-70 at level 4: list_item: World Health Organization. Globa ...  Wkly Epidemiol Rec. 2019;94: 457–472.
        item-71 at level 4: list_item: World Health Organization. Globa ... ass drug administration. Geneva; 2011.
        item-72 at level 4: list_item: World Health Organization. Stren ... Disease-specific Indicators. 2016; 42.
        item-73 at level 4: list_item: KyelemD, BiswasG, BockarieMJ, Br ... Trop Med Hyg. 2008;79: 480–4. 18840733
        item-74 at level 4: list_item: GoldbergEM, KingJD, MupfasoniD,  ... . 2019; 10.4269/ajtmh.18-0721 31115301
        item-75 at level 4: list_item: CanoJ, RebolloMP, GoldingN, Pull ... : 1–19. 10.1186/1756-3305-7-1 24411014
        item-76 at level 4: list_item: CGIAR-CSI. CGIAR-CSI SRTM 90m DE ...  Available: http://srtm.csi.cgiar.org/
        item-77 at level 4: list_item: USGS NASA. Vegetation indices 16 ... /lpdaac.usgs.gov/products/myd13a1v006/
        item-78 at level 4: list_item: FunkC, PetersonP, LandsfeldM, Pe ...  2015;2 10.1038/sdata.2015.66 26646728
        item-79 at level 4: list_item: LloydCT, SorichettaA, TatemAJ. H ... : 170001 10.1038/sdata.2017.1 28140386
        item-80 at level 4: list_item: ElvidgeCD, BaughKE, ZhizhinM, Hs ... Network; 2013;35: 62 10.7125/apan.35.7
        item-81 at level 4: list_item: JambulingamP, SubramanianS, De V ... 18. 10.1186/s13071-015-1291-6 26728523
        item-82 at level 4: list_item: MichaelE, Malecela-LazaroMN, Sim ... 10.1016/S1473-3099(04)00973-9 15050941
        item-83 at level 4: list_item: StolkWA, SwaminathanS, van Oortm ... ;188: 1371–81. 10.1086/378354 14593597
        item-84 at level 4: list_item: GradyCA, De RocharsMB, DirenyAN, ... 8–610. 10.3201/eid1304.061063 17553278
        item-85 at level 4: list_item: EvansD, McFarlandD, AdamaniW, Ei ... 0.1179/2047773211Y.0000000010 22325813
        item-86 at level 4: list_item: RichardsFO, EigegeA, MiriES, Kal ...  10.1371/journal.pntd.0001346 22022627
        item-87 at level 4: list_item: BiritwumNK, YikpoteyP, MarfoBK,  ... 90–695. 10.1093/trstmh/trx007 28938053
        item-88 at level 4: list_item: MoragaP, CanoJ, BaggaleyRF, Gyap ... 16. 10.1186/s13071-014-0608-1 25561160
        item-89 at level 4: list_item: IrvineMA, NjengaSM, GunawardenaS ... 18–124. 10.1093/trstmh/trv096 26822604
        item-90 at level 4: list_item: OttesenEA. Efficacy of diethylca ... iae in humans. Rev Infect Dis. 1985;7.
        item-91 at level 4: list_item: GambhirM, BockarieM, TischD, Kaz ... 2010;8 10.1186/1741-7007-8-22 20236528
        item-92 at level 4: list_item: World Health Organization. Globa ... cal entomology handbook. Geneva; 2013.
        item-93 at level 4: list_item: SlaterH, MichaelE. Predicting th ...  10.1371/journal.pone.0032202 22359670
        item-94 at level 4: list_item: SlaterH, MichaelE. Mapping, Baye ...  10.1371/journal.pone.0071574 23951194
        item-95 at level 4: list_item: SabesanS, RajuKHK, SubramanianS, ... 57–665. 10.1089/vbz.2012.1238 23808973
        item-96 at level 4: list_item: StantonMC, MolyneuxDH, KyelemD,  ... : 159–173. 10.4081/gh.2013.63 24258892
        item-97 at level 4: list_item: ManhenjeI, Teresa Galán-Puchades ... : 391–398. 10.4081/gh.2013.96 23733300
        item-98 at level 4: list_item: NgwiraBM, TambalaP, Perez aM, Bo ... ;6: 12 10.1186/1475-2883-6-12 18047646
        item-99 at level 4: list_item: SimonsenPE, MwakitaluME. Urban l ... 44. 10.1007/s00436-012-3226-x 23239094
        item-100 at level 4: list_item: ProvilleJ, Zavala-AraizaD, Wagne ...  10.1371/journal.pone.0174610 28346500
        item-101 at level 4: list_item: EndeshawT, TayeA, TadesseZ, Kata ... 10.1080/20477724.2015.1103501 26878935
        item-102 at level 4: list_item: RichardsFO, EigegeA, PamD, KalA, ... 4: 3–5. 10.1186/1475-2883-4-3 15916708
        item-103 at level 4: list_item: KyelemD, SanouS, BoatinB a., Med ... 8. 10.1179/000349803225002462 14754495
        item-104 at level 4: list_item: WeilGJ, LammiePJ, RichardsFO, Eb ... –816. 10.1093/infdis/164.4.814 1894943
        item-105 at level 4: list_item: KumarA, SachanP. Measuring impac ... rop Biomed. 2014;31: 225–229. 25134891
        item-106 at level 4: list_item: NjengaSM, MwandawiroCS, WamaeCN, ... 4: 1–9. 10.1186/1756-3305-4-1 21205315
        item-107 at level 4: list_item: BoydA, WonKY, McClintockSK, Dono ...  10.1371/journal.pntd.0000640 20351776
        item-108 at level 4: list_item: IrvineMA, ReimerLJ, NjengaSM, Gu ... 19. 10.1186/s13071-014-0608-1 25561160
        item-109 at level 4: list_item: IrvineMA, StolkWA, SmithME, Subr ... 10.1016/S1473-3099(16)30467-4 28012943
        item-110 at level 4: list_item: PionSD, MontavonC, ChesnaisCB, K ... 7–1423. 10.4269/ajtmh.16-0547 27729568
        item-111 at level 4: list_item: WanjiS, EsumME, NjouendouAJ, Mbe ...  10.1371/journal.pntd.0007192 30849120
        item-112 at level 4: list_item: ChesnaisCB, Awaca-UvonNP, BolayF ...  10.1371/journal.pntd.0005703 28892473
        item-113 at level 4: list_item: SilumbweA, ZuluJM, HalwindiH, Ja ... 15. 10.1186/s12889-017-4414-5 28532397
        item-114 at level 4: list_item: AdamsAM, VuckovicM, BirchE, Bran ... ;3 10.3390/tropicalmed3040122 30469342
        item-115 at level 4: list_item: RaoRU, SamarasekeraSD, Nagodavit ...  10.1371/journal.pntd.0006066 29084213
        item-116 at level 4: list_item: XuZ, GravesPM, LauCL, ClementsA, ...  10.1016/j.epidem.2018.12.003 30611745
        item-117 at level 4: list_item: IdCM, TetteviEJ, MechanF, IdunB, ... Ghana. PLoS Negl Trop Dis. 2019; 1–17.
        item-118 at level 4: list_item: EigegeA, KalA, MiriE, SallauA, U ...  10.1371/journal.pntd.0002508 24205421
        item-119 at level 4: list_item: Van den BergH, Kelly-HopeLA, Lin ... 10.1016/S1473-3099(12)70148-2 23084831
        item-120 at level 4: list_item: WebberR. Eradication of Wucherer ... ol. Trans R Soc Trop Med Hyg. 1979;73.
  item-121 at level 1: caption: Table 1 Categorization of potential factors influencing pre-TAS results.
  item-122 at level 1: caption: Fig 1 Number of pre-TAS by country.
  item-123 at level 1: caption: Fig 2 District-level baseline prevalence by country.
  item-124 at level 1: caption: Fig 3 Percent pre-TAS failure by each characteristic (unadjusted).
  item-125 at level 1: caption: Fig 4 Adjusted risk ratios for p ... ence Interval from log-binomial model.
  item-126 at level 1: caption: Table 2 Adjusted risk ratios for ... g-binomial model sensitivity analysis.
  item-127 at level 1: caption: Fig 5 Analysis of failures by model combinations.