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100   $a20200513d2020      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPredicting HIV/AIDS at subnational levels using DHS covariates related to HIV /$fBenjamin K. Mayala, Samir Bhatt, and Peter Gething
210  1$aRockville, Maryland :$cICF International,$d2020.
215   $a1 online resource (xv, 34 pages) $ccolor illustrations, color maps
225 1 $aDHS spatial analysis reports ;$vno. 18
300   $a"This publication was produced for review by the United States Agency for International Development (USAID)"--Cover.
300   $a"March 2020."
300   $a"The DHS Program, ICF."
320   $aIncludes bibliographical references (pages 31-34).
606   $aAIDS (Disease)$xPrevention
606   $aHIV-positive persons
606   $aHIV infections
606   $aDemographic surveys
606   $aHealth surveys
606   $aSpatial analysis (Statistics)
606   $aGeospatial data
615  0$aAIDS (Disease)$xPrevention.
615  0$aHIV-positive persons.
615  0$aHIV infections.
615  0$aDemographic surveys.
615  0$aHealth surveys.
615  0$aSpatial analysis (Statistics)
615  0$aGeospatial data.
700   $aMayala$b Benjamin K.$01401169
702   $aBhatt$b Samir
702   $aGething$b Peter
712 02$aICF International (Firm),
712 02$aUnited States.$bAgency for International Development,
801  0$bGPO
801  1$bGPO
801  2$bOCLCF
801  2$bGPO
906   $aBOOK
912   $a9910713578903321
996   $aPredicting HIV$93469512
997   $aUNINA