maternal mortality, Twitter, 5/22/2020 3:53:22 AM, 227044


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maternal mortality_2020-05-20_15-37-05.xlsx
maternal mortality_2020-05-20_15-37-05.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
May 22, 2020
Short Description:
maternal mortality via NodeXL https://bit.ly/2zVEY1l
@who
@jacobinoire
@projectyha
@wodngoo1
@whouganda
@quentonkristin
@reprorights
@monitor_ph
@npeu_ukoss
@shanoawarrior

Top hashtags:
#covid19
#pakistan
#mothersday
#maternalmortality
#maternal
#mortality

Description:
Description
The graph represents a network of 5,629 Twitter users whose tweets in the requested range contained "maternal mortality", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 May 2020 at 22:38 UTC.

The requested start date was Wednesday, 20 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 13-day, 5-hour, 36-minute period from Wednesday, 06 May 2020 at 18:09 UTC to Tuesday, 19 May 2020 at 23:45 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

The graph is directed.

The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.

The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.


Author Description


Overall Graph Metrics
Vertices : 5629
Unique Edges : 3623
Edges With Duplicates : 8488
Total Edges : 12111
Number of Edge Types : 5
Retweet : 3626
MentionsInRetweet : 4790
Tweet : 704
Replies to : 490
Mentions : 2501
Self-Loops : 734
Reciprocated Vertex Pair Ratio : 0.0270391395279355
Reciprocated Edge Ratio : 0.0526545454545455
Connected Components : 808
Single-Vertex Connected Components : 296
Maximum Vertices in a Connected Component : 2480
Maximum Edges in a Connected Component : 6734
Maximum Geodesic Distance (Diameter) : 28
Average Geodesic Distance : 8.509539
Graph Density : 0.000217013806686689
Modularity : 0.563547
NodeXL Version : 1.0.1.433
Data Import : The graph represents a network of 5,629 Twitter users whose tweets in the requested range contained "maternal mortality", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 20 May 2020 at 22:38 UTC.

The requested start date was Wednesday, 20 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.

The maximum number of tweets collected was 5,000.

The tweets in the network were tweeted over the 13-day, 5-hour, 36-minute period from Wednesday, 06 May 2020 at 18:09 UTC to Tuesday, 19 May 2020 at 23:45 UTC.

Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.

There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".

Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : maternal mortality
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality

Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[43] https://dougjones.com/accomplishments
[40] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flanglo%2Farticle%2FPIIS2214-109X%2820%2930229-1%2Ffulltext&rc=0
[31] https://www.nytimes.com/2020/05/05/parenting/coronavirus-black-maternal-mortality.html?smid=tw-share
[23] https://www.nytimes.com/2020/05/05/parenting/coronavirus-black-maternal-mortality.html
[22] https://www.washingtonpost.com/news/wonk/wp/2015/11/18/our-maternal-mortality-rate-is-a-national-embarrassment/
[12] https://www.nytimes.com/2020/05/05/parenting/coronavirus-black-maternal-mortality.html?referringSource=articleShare
[11] https://www.hrw.org/news/2020/05/09/closing-pakistans-maternity-wards-puts-women-risk
[10] https://www.mdedge.com/obgyn/article/221705/obstetrics/american-maternal-mortality-crisis-role-racism-and-bias
[9] https://www.nbcnews.com/health/womens-health/u-s-finally-has-better-maternal-mortality-data-black-mothers-n1125896
[8] https://www.nytimes.com/2018/04/11/magazine/black-mothers-babies-death-maternal-mortality.html

Top URLs in Tweet in G1:
[22] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flanglo%2Farticle%2FPIIS2214-109X%2820%2930229-1%2Ffulltext&rc=0
[11] https://www.nytimes.com/2020/05/05/parenting/coronavirus-black-maternal-mortality.html?smid=tw-share
[7] https://www.nytimes.com/2020/05/05/parenting/coronavirus-black-maternal-mortality.html
[3] https://www.nytimes.com/2020/05/05/parenting/coronavirus-black-maternal-mortality.html?referringSource=articleShare
[3] https://www.nytimes.com/2018/04/11/magazine/black-mothers-babies-death-maternal-mortality.html
[3] https://www.hrw.org/news/2020/05/09/closing-pakistans-maternity-wards-puts-women-risk
[2] https://www.governing.com/topics/health-human-services/gov-maternal-infant-mortality-pregnant-women-texas.html
[2] https://twitter.com/maxsparber/status/1257768466498682884
[2] https://www.americanprogress.org/issues/women/reports/2019/05/02/469186/eliminating-racial-disparities-maternal-infant-mortality/
[2] https://us02web.zoom.us/webinar/register/WN_IvcJFQT2TDujYLxg_TbZqA

Top URLs in Tweet in G2:
[5] https://www.nytimes.com/2020/05/05/parenting/coronavirus-black-maternal-mortality.html
[2] http://Child.org
[2] https://child.org/me/danaes-triple-10-challenge
[2] https://internationalmedicalcorps.org/warandgrace/
[2] https://www.nytimes.com/2020/05/05/parenting/coronavirus-black-maternal-mortality.html?fbclid=IwAR0voVtU9FeXKRjk8X5u5C7i_rXQZoSjGCrQO6bunsv8LhvfNIHBRVnUcss
[1] https://www.consciouscityguide.com/events/say-her-name-black-maternal-mortality-honoring-mothers-lost-cbvkfs/
[1] https://www.who.int/news-room/detail/13-05-2020-people-living-longer-and-healthier-lives-but-covid-19-threatens-to-throw-progress-off-track
[1] https://www.who.int/en/news-room/fact-sheets/detail/maternal-mortality
[1] https://twitter.com/vincentrk/status/1262777053037957122
[1] http://www.hyperemesis.org/HER-Research/downloads/2015_MacGibbon_HG_Case_Study.pdf

Top URLs in Tweet in G3:
[4] https://reproductiverights.org/press-room/un-human-rights-committee-asserts-access-abortion-and-prevention-maternal-mortality-are
[2] https://www.who.int/news-room/fact-sheets/detail/maternal-mortality
[2] https://www.who.int/health-topics/abortion#tab=tab_1
[2] https://data.unicef.org/topic/maternal-health/maternal-mortality/
[2] https://www.health.harvard.edu/blog/a-soaring-maternal-mortality-rate-what-does-it-mean-for-you-2018101614914
[1] https://www.cdc.gov/nchs/data/nvsr/nvsr69/nvsr69_02-508.pdf
[1] https://pubmed.ncbi.nlm.nih.gov/22694586/
[1] https://www.beckershospitalreview.com/quality/among-11-countries-us-ranks-last-for-health-outcomes-equity-and-quality.html
[1] https://twitter.com/SierraDeciduous/status/1260074135125983233
[1] https://www.cdc.gov/nchs/data/nvsr/nvsr61/nvsr61_07.pdf

Top URLs in Tweet in G4:
[1] https://www.npeu.ox.ac.uk/downloads/files/ukoss/annual-reports/UKOSS%20COVID-19%20Paper%20pre-print%20draft%2011-05-20.pdf
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144599/
[1] https://twitter.com/npeu_ukoss/status/1259816809223426050
[1] https://twitter.com/Marianfknight/status/1258381171030966272

Top URLs in Tweet in G5:
[3] https://www.nytimes.com/2020/05/05/parenting/coronavirus-black-maternal-mortality.html?smid=tw-share
[1] https://twitter.com/menkaurab/status/1258914963487367168
[1] https://twitter.com/_khaleelah/status/1259501958232190977

Top URLs in Tweet in G6:
[4] https://www.nhlbi.nih.gov/events/2020/maternal-mortality-workshop
[4] https://www.cnn.com/2020/02/21/health/maternal-mortality-fathers-grief/index.html
[3] https://videocast.nih.gov/
[3] https://www.mhtf.org/2020/05/04/accuracy-of-maternal-mortality-rates-and-updated-nchs-methodologies-data-quality-matters/
[3] https://videocast.nih.gov/summary.asp?live=36359&bhcp=1
[2] https://orwh.od.nih.gov/research/maternal-morbidity-and-mortality
[2] https://orwh.od.nih.gov/in-the-spotlight/all-articles/nih-releases-funding-opportunity-address-racial-and-ethnic?utm_source=ORWH+Communications&utm_campaign=86946e5d11-EMAIL_CAMPAIGN_2019_02_20_04_12_COPY_01&utm_medium=email&utm_term=0_149fdcbe42-86946e5d11-
[2] https://grants.nih.gov/grants/guide/rfa-files/RFA-MD-20-008.html
[2] https://www.mhtf.org/2020/04/28/what-role-could-doulas-play-in-addressing-black-american-maternal-mortality/
[2] https://www.acog.org/advocacy/policy-priorities/maternal-mortality-prevention

Top URLs in Tweet in G7:
[4] https://www.pih.org/hankandjohn
[1] https://pihcanada.kindful.com/?campaign=1040591
[1] https://pihcanada.org/qa-combating-sierra-leones-maternal-health-crisis-through-covid-19/
[1] https://twitter.com/zaitunssali/status/1261397491620237313
[1] https://twitter.com/asia_ilse/status/1261139418095771650
[1] https://store.dftba.com/products/none-pizza-w-left-hankshirt

Top URLs in Tweet in G8:
[7] https://www.hrw.org/news/2020/05/09/closing-pakistans-maternity-wards-puts-women-risk
[1] https://www.lowyinstitute.org/the-interpreter/health-challenge-png-far-greater-covid-19-alone
[1] https://www.cdc.gov/media/releases/2019/p0905-racial-ethnic-disparities-pregnancy-deaths.html

Top URLs in Tweet in G9:
[5] http://johnshopkinssph.libsyn.com/how-covid-19-may-cause-increases-in-maternal-and-child-mortality-in-low-and-middle-income-countries
[3] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fwww.thelancet.com%2Fjournals%2Flanglo%2Farticle%2FPIIS2214-109X%2820%2930229-1%2Ffulltext&rc=0
[1] https://www.theglobeandmail.com/politics/article-over-a-million-children-mothers-in-low-income-countries-could-die/
[1] https://www.jhsph.edu/departments/international-health/news/health-systems-disruptions-caused-by-covid-19-could-lead-to-significant-increases-in-maternal-and-child-mortality-in-low-and-middle-income-countries-new-study-finds.html
[1] https://johnshopkinssph.libsyn.com/how-covid-19-may-cause-increases-in-maternal-and-child-mortality-in-low-and-middle-income-countries?hft_id=~00_~01twitter_~02_~03social_~04jhu-covid19_~05jhubsph_~06qt_~07us_~08_~09EthicalDecisionMaking_~10_~11Podcast5_~12na_~130_~14en_
[1] https://www.facebook.com/202648240216459/posts/894021337745809/?app=fbl
[1] http://ow.ly/YgLv50yCoWz
[1] https://twitter.com/LancetGH/status/1260537545831530499
[1] https://secure.jbs.elsevierhealth.com/action/getSharedSiteSession?redirect=https%3A%2F%2Fthelancet.com%2Fjournals%2Flanglo%2Farticle%2FPIIS2214-109X%2820%2930229-1%2Ffulltext&rc=0
[1] https://us02web.zoom.us/j/85319542408

Top URLs in Tweet in G10:
[1] https://www.telegraph.co.uk/global-health/science-and-disease/unicef-warns-lockdown-could-kill-covid-19-model-predicts-12/
[1] https://twitter.com/JacquesMaree73/status/1260855914367680512

Top Domains
Top Domains in Tweet in Entire Graph:
[144] twitter.com
[88] nytimes.com
[53] elsevierhealth.com
[43] dougjones.com
[42] nih.gov
[24] washingtonpost.com
[14] who.int
[11] zoom.us
[11] hrw.org
[10] nbcnews.com

Top Domains in Tweet in G1:
[48] twitter.com
[28] elsevierhealth.com
[25] nytimes.com
[3] nih.gov
[3] zoom.us
[3] hrw.org
[3] instagram.com
[2] governing.com
[2] americanprogress.org
[2] globalsentinelng.com

Top Domains in Tweet in G2:
[8] nytimes.com
[4] who.int
[4] child.org
[2] twitter.com
[2] thelancet.com
[2] elsevierhealth.com
[2] internationalmedicalcorps.org
[1] consciouscityguide.com
[1] hyperemesis.org
[1] instagram.com

Top Domains in Tweet in G3:
[4] who.int
[4] reproductiverights.org
[3] cdc.gov
[3] nih.gov
[2] amnesty.org
[2] theguardian.com
[2] unicef.org
[2] harvard.edu
[1] beckershospitalreview.com
[1] twitter.com

Top Domains in Tweet in G4:
[2] twitter.com
[1] ac.uk
[1] nih.gov

Top Domains in Tweet in G5:
[3] nytimes.com
[2] twitter.com

Top Domains in Tweet in G6:
[27] nih.gov
[5] mhtf.org
[5] twitter.com
[4] cnn.com
[4] acog.org
[4] nytimes.com
[3] cvent.com
[2] isrgrajan.com
[2] cdc.gov
[2] americanprogress.org

Top Domains in Tweet in G7:
[4] pih.org
[2] twitter.com
[1] kindful.com
[1] pihcanada.org
[1] dftba.com

Top Domains in Tweet in G8:
[7] hrw.org
[1] lowyinstitute.org
[1] cdc.gov

Top Domains in Tweet in G9:
[6] libsyn.com
[6] twitter.com
[5] elsevierhealth.com
[1] theglobeandmail.com
[1] jhsph.edu
[1] facebook.com
[1] ow.ly
[1] zoom.us
[1] bmj.com
[1] healthynewbornnetwork.org

Top Domains in Tweet in G10:
[1] co.uk
[1] twitter.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[506] covid19
[148] pakistan
[89] mothersday
[68] maternalmortality
[54] maternal
[47] mortality
[38] coronavirus
[28] child
[27] covid_19
[27] seyifarafoundation



Top Hashtags in Tweet in G1:
[25] covid19
[10] maternal
[5] child
[5] mothersday
[5] mortality
[3] healthcare
[3] who
[3] pakistan
[3] pandemic
[3] health

Top Hashtags in Tweet in G2:
[44] covid19
[27] seyifarafoundation
[25] shea
[24] impactinglives
[24] doctors
[24] maternal
[21] child
[17] mortality
[14] nonprofit
[12] seyifara

Top Hashtags in Tweet in G3:
[1] covid19
[1] srhr

Top Hashtags in Tweet in G4:
[6] covid19
[4] pregnancy
[1] covid
[1] perceptionsofmidwifery

Top Hashtags in Tweet in G5:
[1] blackmamasmatteralliance

Top Hashtags in Tweet in G6:
[44] maternalmortality
[19] covid19
[14] maternalhealthnichd
[13] obgyns
[8] chd
[7] mothersday
[7] nhlbi
[7] maternal
[7] pregnancy
[6] disparities

Top Hashtags in Tweet in G7:
[4] covid19
[2] return40m
[2] strongermovtsforsrhr
[1] idm2020
[1] maternalmortality
[1] motherhood
[1] pregnancy
[1] yhaproject
[1] nurseslead
[1] midwiveslead

Top Hashtags in Tweet in G8:
[141] pakistan
[135] covid19
[6] covid_1
[2] islamabad
[1] mothersday

Top Hashtags in Tweet in G9:
[101] covid19
[22] coronavirus
[6] lmics
[6] maternal
[5] worldhealthdata
[4] covid_19
[4] womenshealth
[4] wash
[1] lmic
[1] safehands

Top Words
Top Words in Tweet in Entire Graph:
[] Top Word Pairs in Tweet in Entire Graph
[] Entire Graph Count
[] Top Word Pairs in Tweet in G1

Top Words in Tweet in G1:
[282] maternal
[280] mortality
[96] women
[82] black
[69] health
[61] child
[57] income
[52] covid
[50] rates
[47] rate

Top Words in Tweet in G2:
[152] women
[135] day
[130] childbirth
[129] causes
[127] more
[126] die
[125] pregnancy
[124] related
[124] 800
[123] approximately

Top Words in Tweet in G3:
[115] maternal
[114] mortality
[64] rate
[63] pregnancy
[55] katehanson
[53] fact
[53] developed
[53] world
[51] highest
[50] fun

Top Words in Tweet in G4:
[237] npeu_ukoss
[234] women
[231] uk
[230] admitted
[230] hospital
[227] giving
[227] birth
[226] pregnant
[226] 1000
[226] covid

Top Words in Tweet in G5:
[239] maternal
[239] mortality
[238] black
[230] jacobinoire
[230] researching
[230] history
[230] enraged
[230] find
[230] eugenics
[230] board

Top Words in Tweet in G6:
[222] maternal
[146] mortality
[89] health
[84] women
[69] morbidity
[55] pregnancy
[49] nih
[44] #maternalmortality
[44] black
[42] workshop

Top Words in Tweet in G7:
[129] maternal
[111] mortality
[61] day
[52] time
[50] more
[50] uganda
[49] samsonkasumba
[49] infant
[48] mother's
[47] robust

Top Words in Tweet in G8:
[152] already
[150] maternal
[148] mortality
[146] rates
[141] #pakistan
[141] crisis
[141] before
[135] #covid19
[98] pandemic
[90] one

Top Words in Tweet in G9:
[101] #covid19
[91] health
[83] systems
[66] pandemic
[56] child
[46] mortality
[44] johnshopkinsih
[44] strained
[42] countries
[40] cause

Top Words in Tweet in G10:
[97] lockdown
[97] child
[97] mortality
[97] rates
[96] staggering
[96] projections
[96] unicef
[96] effects
[96] indiscriminate
[96] poor

Top Word Pairs
Top Word Pairs in Tweet in G2:
[184] pregnancy,childbirth
[46] women,die
[42] day,approximately
[38] approximately,more
[37] more,800
[31] 800,women
[31] die,preventable
[30] preventable,causes
[28] causes,related
[28] related,pregnancy

Top Word Pairs in Tweet in G3:
[124] maternal,mortality
[123] mortality,rate
[122] rate,developed
[122] highest,maternal
[122] developed,world
[122] fun,pregnancy
[122] pregnancy,inconvenience
[122] inconvenience,fact
[122] fact,#1
[122] #1,highest

Top Word Pairs in Tweet in G4:
[102] admitted,hospital
[62] giving,birth
[52] pregnant,women
[51] women,1000
[51] 1000,giving
[50] birth,admitted
[50] hospital,uk
[50] uk,covid
[50] covid,19
[50] 19,around

Top Word Pairs in Tweet in G5:
[230] maternal,mortality
[227] black,maternal
[226] researching,history
[226] history,black
[226] mortality,enraged
[226] enraged,find
[226] find,eugenics
[226] eugenics,board
[226] jacobinoire,researching
[226] project,absolutely

Top Word Pairs in Tweet in G6:
[237] maternal,mortality
[231] morbidity,mortality
[230] maternal,morbidity
[230] maternal,health
[230] black,women
[230] reduce,maternal
[230] racial,disparities
[230] conditions,increase
[229] maternal,conditions
[4] virtual,workshop

Top Word Pairs in Tweet in G7:
[93] mother's,day
[49] infant,mortality
[42] mortality,uganda
[37] day,time
[24] time,more
[23] more,robust
[20] robust,conversation
[18] conversation,maternal
[17] maternal,infant
[17] uganda,trying

Top Word Pairs in Tweet in G8:
[48] maternal,mortality
[48] mortality,rates
[48] #pakistan,already
[47] already,crisis
[47] crisis,before
[47] before,#covid19
[47] #covid19,pandemic
[47] one,highest
[47] highest,maternal
[47] rates,asia

Top Word Pairs in Tweet in G9:
[147] health,systems
[146] #covid19,pandemic
[141] potential,disruptions
[141] disruptions,health
[141] systems,decreased
[135] decreased,access
[98] access,food
[90] food,caused
[90] caused,#covid19
[65] pandemic,cause

Top Word Pairs in Tweet in G10:
[83] child,mortality
[40] mortality,rates
[31] staggering,projections
[31] projections,unicef
[31] unicef,effects
[31] effects,indiscriminate
[31] indiscriminate,lockdown
[31] lockdown,poor
[31] poor,countries
[31] countries,child

Top Replied-To
Top Replied-To in Entire Graph:
@dylanmattress
@gregabbott_tx
@lookschinese19
@scheafferoo
@daamnbrit
@mstanyabarnett1
@andrewlanden99
@stagemediaarts
@truthagape
@imsolament

Top Replied-To in G2:
@unfpapakistan
@drtedros
@ommale
@who
@drsimoncraig
@friendsofkijabe
@whoafro
@cturlington
@michelleobama

Top Replied-To in G3:
@dylanmattress
@lookschinese19
@truthagape
@andrewlanden99
@gamblingsaint
@imsolament
@buckleyflaherty
@mnelson0422
@autumnvb25
@buzzsaws1990

Top Replied-To in G4:
@obsevidence
@sonialf
@comilla_s
@mrpranpatel
@npeu_ukoss
@doc_fertile

Top Replied-To in G5:
@jacobinoire
@inpoco

Top Replied-To in G6:
@mstanyabarnett1
@nichd_nih
@elizamillermd
@doccrearperry
@leaundraross
@drbiden
@npicperinatal
@yamiche
@adahagan
@rzgreenfield

Top Replied-To in G7:
@dianaatwine
@okowao
@carlyemarshall
@ofwonoopondo
@janeruth_aceng
@samsonkasumba
@xp147
@ainealice7
@ekwaroobuku
@annalumbasi

Top Replied-To in G8:
@lawshalls

Top Replied-To in G10:
@dedza16

Top Mentioned
Top Mentioned in Entire Graph:
@npeu_ukoss
@jacobinoire
@who
@jacquesmaree73
@ulomareen
@canary_film
@canaryfilmmaker
@rashadrobinson
@notavatarcmoney
@brandyholiday

Top Mentioned in G1:
@williesband
@calyssadanielle

Top Mentioned in G2:
@who
@seyifara
@nbstv
@drtedros
@lancetgh
@kellygwriter
@unfpa
@dailymonitor
@shaunlintern
@womendeliver

Top Mentioned in G3:
@katehanson
@liamdan008
@abortionchat
@to_discussion
@abbyjohnson
@abovenun
@sequoia_red
@npwdbackup1
@deepdownimnot
@susanchackett

Top Mentioned in G4:
@npeu_ukoss
@pancovidreg
@carolynfahm
@nishaobgyn
@ewsmullins
@mbrrace
@bfberkshire
@comilla_s
@drnimmis
@benashnaz

Top Mentioned in G5:
@jacobinoire
@terriboone00
@kidadaewilliams
@kprotein19
@eaton
@ryanofpluto
@blogdiva
@solidarity_goth
@mortal_boy_king
@who

Top Mentioned in G6:
@nih
@nichd_nih
@acogaction
@nih_orwh
@cclaremdmph
@kamalaharris
@acog
@barbs73
@nih_nhlbi
@mysmfm

Top Mentioned in G7:
@samsonkasumba
@drotileug
@eyesonuiahms
@minofhealthug
@pih
@fatiakiyange
@unfpauganda
@rosiannarojas
@kagutamuseveni
@projectyha

Top Mentioned in G8:
@wenzelmichalski
@zamahrw
@cristianfergo
@ks7s
@lotteleicht1
@shahjhan_malikk
@lowyinstitute
@laueevans
@reaproy

Top Mentioned in G9:
@johnshopkinsih
@johnshopkinssph
@publichealthpod
@saracbennett
@livessavedtool
@healthynewborns
@equitylist
@lancetgh
@hopkinsihhs
@sarac

Top Mentioned in G10:
@jacquesmaree73
@jsteenhuisen

Top Tweeters
Top Tweeters in Entire Graph:
@odio_nao
@monicasloves
@solutioneer72
@jude_mugabi
@honeymoongondol
@nilimajumder
@twillynavy246
@aepishere
@carolmaewy
@wildwalkerwoman

Top Tweeters in G1:
@lrnrose
@anamafalda1992
@xoxoxminnie
@nofnews_ghana
@kim_buh_lee
@ironorehopper
@bertitude
@hjaybee
@thenineyanas
@itsmethehbic

Top Tweeters in G2:
@honeymoongondol
@nilimajumder
@lalojimjuarez
@viralvm69
@austinlouis5
@kellyclelland1
@nomoreslaves
@njmike731
@loonylaura
@feinberg_linda

Top Tweeters in G3:
@momsthoughts
@lfaraday
@lanikaiduck
@lisawinslow
@atheistengineer
@lalanamour
@boozynerd
@viktor_renquist
@yullichika
@ozgoofyprincess

Top Tweeters in G4:
@ketaminh
@americanwoman8
@artemisempress
@saurabhpw40
@coopesdetat
@lizmayessex
@thelovelymaeve
@mrpranpatel
@khas01
@helengrayibclc

Top Tweeters in G5:
@blogdiva
@wechoosewisdom
@inpoco
@kmontenegro
@markburgerenerg
@slthompson29
@brendahazelhur1
@digyoursoul
@spooney35
@rob_camacho_sd

Top Tweeters in G6:
@monicasloves
@nembotavy_0101
@sharerussharing
@lipkinlip
@justbementalist
@toniragusa
@carmank1
@northbelle4
@monitor_ph
@barbs73

Top Tweeters in G7:
@omuzibuwaalu
@newvisionwire
@ntemid
@hustleking01
@jerryjones99
@ugindependent
@kondejr
@lubeganewton
@rfungom
@ahlzarn

Top Tweeters in G8:
@alshaikh3337
@katelynisviolet
@den_fabrizi
@margymayell
@steph80335
@joshdacat
@jwahjwah
@martinmavenjina
@ejaariza93
@moisomedrano

Top Tweeters in G9:
@angels_xr
@cotey_mary
@eee_eff
@njanitz
@tomwlsn31
@globalphobserv
@timwlsn31
@tedwlsn31
@ghia1212
@equityhealthdev

Top Tweeters in G10:
@lootgous
@time2coach
@snowy_burger01
@thecouncilwolf
@yakballs
@thisismfundo
@sacitizen55
@kriswentzel9
@wietsg
@vuyoncokazi