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ORIGINAL ARTICLE
Open Access

Maternal and Child Health Care Service Disruptions and Recovery in Mozambique After Cyclone Idai: An Uncontrolled Interrupted Time Series Analysis

Quinhas Fernandes, Orvalho Augusto, Sérgio Chicumbe, Laura Anselmi, Bradley H. Wagenaar, Rosa Marlene, Sãozinha Agostinho, Sarah Gimbel, James Pfeiffer, Celso Inguane, Dorlim Moiana Uetela, Jonny Crocker, Isaías Ramiro, Benigna Matsinhe, Stélio Tembe, Naziat Carimo, Stephen Gloyd, Ivan Manhiça, Esperança Tavede, Priscilla Felimone and Kenneth Sherr
Global Health: Science and Practice September 2022, 10(Supplement 1):e2100796; https://doi.org/10.9745/GHSP-D-21-00796
Quinhas Fernandes
aNational Directorate of Public Health, Ministry of Health, Mozambique.
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
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  • For correspondence: ferq09@gmail.com
Orvalho Augusto
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
cEduardo Mondlane University, Maputo, Mozambique.
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Sérgio Chicumbe
dInstituto Nacional de Saúde, Ministry of Health, Mozambique.
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Laura Anselmi
eCentre for Primary Care and Health Services Research, University of Manchester, Manchester, United Kingdom.
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Bradley H. Wagenaar
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
fDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
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Rosa Marlene
gMozambique Permanent Mission, Geneva, Switzerland.
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Sãozinha Agostinho
hNational Directorate of Planning and Cooperation, Ministry of Health, Mozambique.
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Sarah Gimbel
iDepartment of Child, Family, and Population Health Nursing, School of Nursing, University of Washington, Seattle, WA, USA.
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James Pfeiffer
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
jDepartment of Anthropology, University of Washington, Seattle, WA, USA.
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Celso Inguane
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
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Dorlim Moiana Uetela
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
dInstituto Nacional de Saúde, Ministry of Health, Mozambique.
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Jonny Crocker
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
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Isaías Ramiro
kComité para a Saúde de Moçambique, Maputo, Mozambique.
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Benigna Matsinhe
aNational Directorate of Public Health, Ministry of Health, Mozambique.
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Stélio Tembe
aNational Directorate of Public Health, Ministry of Health, Mozambique.
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
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Naziat Carimo
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
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Stephen Gloyd
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
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Ivan Manhiça
aNational Directorate of Public Health, Ministry of Health, Mozambique.
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Esperança Tavede
lProvincial Social Affairs Services, Manica, Mozambique.
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Priscilla Felimone
mProvincial Social Affairs Services, Sofala, Mozambique.
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Kenneth Sherr
bDepartment of Global Health, University of Washington, Seattle, WA, USA.
fDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
nDepartment of Industrial & Systems Engineering, University of Washington.
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    FIGURE 1

    Map of Sofala and Manica Provinces in Mozambique

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    FIGURE 2

    Average Counts for Service Delivery Indicators in 25 Districts Before and After Cyclone Idai in Sofala and Manica Provinces, Mozambiquea

    Abbreviations: ANC, antenatal care; BCG, bacillus Calmette-Guerin; CCR, child at risk consultation; DPT-Hib3, diphtheria, pertussis, tetanus, and Haemophilus influenzae type b; FP, family planning; IPTp4, at least 4 doses of intermittent preventive treatment prophylaxis.

    aCyclone Idai March 2019 (dashed red line); observed counts (dots); model expected under Idai (solid thick line) and its 95% confidence interval (dashed lines); counterfactual model expected without Idai (solid thin line).

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    FIGURE 3

    Relative Losses After Cyclone Idai, by Service Delivery Indicator and District-Level Destruction Strata, Sofala and Manica Provinces, Mozambique

    Abbreviations: ANC, antenatal care; BCG, bacillus Calmette-Guerin; CCR, child at risk consultation; DPT-Hib3, diphtheria, pertussis, tetanus, and Haemophilus influenzae type b; FP, family planning; IPTp4, at least 4 doses of intermittent preventive treatment prophylaxis.

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    TABLE 1.

    Population and Level of Cyclone Idai Destruction in 25 Districts of Manica and Sofala Provinces, Mozambique, 2019

    2019 PopulationaCyclone Idai Impactb
    DistrictsTotal PopulationWomen Aged 15–49 Years, %Children Aged Younger Than 5 Years, %Affected People, No. (%)Stratac 
    Manica Province2,056,03730.217.9414,977 (20.2) 
    Bárue205,75630.617.6-I
    Chimoio City417,95431.816.01,603 (0.4)II
    Gondola212,93030.017.7104,528 (49.1)III
    Guro105,90629.618.4-I
    Macate92,05928.718.451,284 (55.7)III
    Machaze137,85731.918.321,576 (15.7)II
    Macossa50,29429.718.4-I
    Manica241,12230.317.210,234 (4.2)II
    Mossurize222,07831.018.351,068 (23.0)II
    Sussundenga185,79030.317.8139,889 (75.3)III
    Tambarra58,32429.918.4-I
    Vanduzi125,96729.018.434,795 (27.6)II
    Sofala Province2,388,90230.616.81,416,690 (59.3) 
    Búzi191,69330.717.1247,193 (129.0)III
    Caia171,33430.516.9-I
    Chemba89,78430.517.4-I
    Cheringoma62,58630.716.3-I
    Chibabava145,77831.517.441,204 (28.3)II
    Beira City651,31331.714.6575,077 (88.3)III
    Dondo210,74230.516.0211,266 (100.2)III
    Gorongosa191,56530.616.8-I
    Machanga60,22330.817.420,004 (33.2)II
    Maríngue102,83330.817.4-I
    Marromeu167,79130.316.3-I
    Muanza41,17928.717.534,202 (83.1)III
    Nhamatanda302,08130.016.9287,744 (95.3)III
    Total4,444,93930.417.31,831,667 (41.2) 
    • ↵a Projected population based on National Institute of Statistics (INE) 2007 Census.32

    • ↵b National Institute for Disaster Management (INGD) reports.29

    • ↵c Based on the number of people affected (percentage) after Cyclone Idai, strata I districts were the least affected, strata II were medium affected, and strata III were highly affected.

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    TABLE 2.

    Monthly Averages for Each Study Indicator in 25 Districts of Manica and Sofala Provinces, Mozambique, 2017

    District/ProvinceFirst ANC VisitsIPTp4Institutional DeliveriesNew FP UserMeasles VaccinationBCG VaccinationDPT-Hib3
    Vaccination
    Fully Immunized Children Under Age 1 YearFirst At-Risk Children’s ConsultationPostpartum Care Visit (3–7 days)
    Mean (CV)aMean (CV)aMean (CV)aMean (CV)aMean (CV)aMean (CV)aMean (CV)aMean (CV)aMean (CV)aMean (CV)a
    Manica Provinceb847 (0.51)371 (0.68)558 (0.53)2,150 (1.24)607 (0.57)681 (0.67)604 (0.56)574 (0.64)74 (0.75)86 (1.06)
     Bárue952 (0.20)290 (0.35)675 (0.16)3,953 (1.32)764 (0.36)901 (0.29)801 (0.36)779 (0.78)101 (0.32)71 (0.77)
     Chimoio City1,708 (0.17)935 (0.19)1,282 (0.07)4,200 (0.65)1,150 (0.16)1,455 (0.11)1,191 (0.10)1,096 (0.18)214 (0.11)319 (0.27)
     Gondola1,064 (0.08)482 (0.12)660 (0.04)3,215 (1.24)610 (0.36)688 (0.21)580 (0.31)586 (0.35)72 (0.30)117 (0.42)
     Guro514 (0.07)324 (0.22)347 (0.10)985 (1.13)351 (0.14)389 (0.12)355 (0.14)323 (0.16)46 (0.52)100 (0.40)
     Macate598 (0.41)327 (0.16)369 (0.11)1,217 (0.95)436 (0.46)462 (0.44)435 (0.49)426 (0.46)46 (0.25)35 (1.12)
     Machaze612 (0.11)101 (0.39)420 (0.10)1,317 (0.74)548 (0.50)682 (0.81)528 (0.34)514 (0.44)56 (0.26)37 (0.49)
     Macossa222 (0.15)84 (0.31)166 (0.05)598 (0.77)184 (0.39)167 (0.20)166 (0.15)159 (0.45)10 (0.81)33 (1.56)
     Manica1,077 (0.08)612 (0.12)672 (0.08)2,069 (0.66)744 (0.16)781 (0.13)771 (0.10)705 (0.19)115 (0.11)126 (0.26)
     Mossurize1,346 (0.12)561 (0.13)803 (0.04)2,988 (0.41)1,171 (0.22)1,131 (0.69)1,076 (0.25)1,092 (0.22)52 (0.41)45 (1.25)
     Sussundenga953 (0.09)260 (0.24)601 (0.08)2039 (1.04)598 (0.16)692 (0.18)601 (0.17)558 (0.16)67 (0.38)79 (0.47)
     Tambarra364 (0.31)54 (0.18)195 (0.15)1,722 (1.81)230 (0.25)252 (0.23)232 (0.20)192 (0.31)17 (0.22)40 (0.47)
     Vanduzi713 (0.11)371 (0.23)510 (0.08)1,494 (1.34)504 (0.20)576 (0.13)506 (0.16)460 (0.21)47 (0.15)12 (1.28)
    Sofala Provinceb813 (0.61)289 (0.84)562 (0.73)1,663 (1.12)579 (0.67)653 (0.66)597 (0.67)493 (0.65)125 (1.19)67 (1.06)
     Búzi938 (0.12)315 (0.15)697 (0.09)2,737 (0.87)750 (0.27)784 (0.13)810 (0.27)687 (0.22)139 (0.27)51 (0.92)
     Caia884 (0.07)307 (0.14)650 (0.07)2,395 (1.34)715 (0.51)788 (0.35)747 (0.51)607 (0.45)138 (0.26)90 (0.43)
     Chemba445 (0.14)41 (0.90)275 (0.08)1,099 (0.58)286 (0.18)341 (0.12)296 (0.20)243 (0.19)33 (0.39)23 (0.90)
     Cheringoma362 (0.09)54 (0.26)245 (0.08)379 (1.01)241 (0.37)295 (0.30)267 (0.33)211 (0.37)20 (0.45)32 (0.35)
     Chibabava704 (0.09)213 (0.21)403 (0.13)854 (0.87)555 (0.19)571 (0.11)552 (0.16)462 (0.15)87 (0.21)80 (0.19)
     Beira City2,015 (0.12)872 (0.11)1,657 (0.18)3,889 (0.54)1,479 (0.11)1,668 (0.16)1,510 (0.11)1,201 (0.22)574 (0.21)197 (0.82)
     Dondo955 (0.14)333 (0.16)563 (0.12)1961 (0.77)603 (0.14)694 (0.36)637 (0.09)565 (0.12)145 (0.21)98 (0.27)
     Gorongosa1,113 (0.17)449 (0.30)626 (0.11)2,154 (0.32)596 (0.11)815 (0.16)632 (0.12)512 (0.10)174 (0.47)98 (0.27)
     Machanga304 (0.05)136 (0.20)242 (0.10)522 (1.00)240 (0.29)248 (0.15)228 (0.20)224 (0.30)43 (0.38)22 (0.76)
     Maríngue526 (0.15)119 (0.22)308 (0.10)858 (0.85)321 (0.51)354 (0.24)311 (0.48)218 (0.39)40 (0.26)40 (0.55)
     Marromeu759 (0.10)250 (0.44)493 (0.16)2,167 (0.89)557 (0.23)642 (0.10)604 (0.22)504 (0.27)60 (0.24)36 (0.35)
     Muanza193 (0.15)52 (0.23)114 (0.11)393 (1.10)138 (0.36)140 (0.24)132 (0.21)124 (0.31)9 (0.53)6 (0.71)
     Nhamatanda1,374 (0.09)601 (0.13)1,037 (0.10)2,208 (1.05)1,041 (0.25)1,155 (0.17)1,028 (0.25)850 (0.22)161 (0.15)64 (0.77)
    Total829 (0.56)329 (0.76)560 (0.64)1,896 (1.21)592 (0.62)667 (0.66)600 (0.62)532 (0.65)101 (1.17)76 (1.07)
    • Abbreviations: ANC, antenatal care visit; BCG, bacillus Calmette-Guerin; CV, coefficient of variation (ratio of standard deviation to the average); DPT-Hib3, diphtheria, pertussis, tetanus, and Haemophilus influenzae type b immunization; FP, family planning; IPTp4, at least 4 doses of intermittent preventive treatment prophylaxis.

    • ↵a Means and CV for the districts in the province.

    • ↵b The averages and the CV are computed per district for the months of 2017.

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    TABLE 3.

    Exponentiated Regression Coefficient for Each Study Indicator Before and After Cyclone Idai, Manica and Sofala Provinces, Mozambique

    IndicatorInterceptaPostbPre-SlopecPost-Slope ChangedMarch 2019eApril 2019f
    Exponentiated Regression Coefficient (95% CI)
    First ANC visit934 (867, 1,007)1.08 (1.02, 1.16)0.998 (0.9965, 1.0011)1.00 (0.99, 1.00)0.77 (0.62, 0.96)0.89 (0.75, 1.07)
    IPTp4310 (246, 392)0.94 (0.85, 1.04)1.013 (1.0080, 1.0183)1.00 (0.98, 1.01)0.90 (0.73, 1.11)0.88 (0.69, 1.11)
    Institutional delivery601 (556, 649)1.00 (0.96, 1.05)1.005 (1.0024, 1.0069)0.99 (0.98, 0.99)0.87 (0.80, 0.94)0.90 (0.84, 0.97)
    New FP user2,531 (2,107, 3,050)1.34 (1.12, 1.60)1.013 (1.0058, 1.0207)0.91 (0.89, 0.93)0.64 (0.48, 0.85)0.69 (0.53, 0.92)
    Measles vaccination2,113 (1909, 2,342)1.15 (1.06, 1.26)1.004 (1.0016, 1.0069)0.98 (0.97, 0.99)0.75 (0.64, 0.87)0.76 (0.62, 0.92)
    BCG vaccination2,293 (2,080, 2,524)1.13 (1.06, 1.21)1.001 (0.9991, 1.0035)0.98 (0.98, 0.99)0.79 (0.69, 0.90)0.79 (0.65, 0.97)
    DPT-Hib3 vaccination2,121 (1910, 2,354)1.09 (1.02, 1.17)1.003 (1.0003, 1.0047)0.99 (0.98, 0.99)0.83 (0.73, 0.95)0.77 (0.62, 0.95)
    Fully immunized children under age 1 year1,926 (1,722, 2,152)1.13 (1.03, 1.24)1.006 (1.0029, 1.0086)0.98 (0.96, 0.99)0.76 (0.65, 0.89)0.79 (0.66, 0.94)
    First at-risk children’s consultation244 (187, 319)1.27 (1.13, 1.42)1.003 (0.9967, 1.0091)1.01 (0.99, 1.02)0.75 (0.63, 0.90)0.73 (0.55, 0.95)
    Postpartum visit within 3–7 days103 (76, 139)1.50 (1.13, 1.99)0.966 (0.9538, 0.9781)0.96 (0.92, 1.01)0.57 (0.35, 0.94)0.58 (0.37–0.92)
    • Abbreviations: ANC, antenatal care; BCG, bacillus Calmette-Guerin; DPT-Hib3, diphtheria, pertussis, tetanus, and Haemophilus influenzae type b; FP, family planning; IPTp4, at least 4 doses of intermittent preventive treatment prophylaxis.

    • ↵a Intercept (eβ0) is a model estimate of the count of service deliveries per 100,000 people in November 2016 (e.g., for “first ANC visit,” there were an estimated 934 first ANC visits per 100,000 women of reproductive age in November 2016).

    • ↵b Post (eβpost) is the multiplicative change of the intercept since Cyclone Idai (e.g., compared to November 2016, there was an 8% increase in first ANC visits among women of reproductive health age in the post-Idai period [after March 2019]).

    • ↵c Pre-slope (eβpre) is the monthly multiplicative increase in the ratio of indicator count to 100,000 people before Cyclone Idai (e.g., there was a 0.2% relative decrease in first ANC visits in women of reproductive health age per month).

    • ↵d Post-slope (eβpostslope) change is the multiplicative change in the pre-slope coefficient (e.g., after Cyclone Idai, the monthly trend in first ANC visits was unchanged).

    • ↵e March 2019 is the specific change relative to the post-level (eβMarch2019) change. This is a multiplicative deviation from the overall post-Idai level in March 2019 (e.g., during the month when Cyclone Idai occurred, the ratio of first ANC visits to the population of women of reproductive health age was 23% lower than during the entire post-Idai period).

    • ↵f April 2019 is the specific change relative to the post-level (eβApril2019) change. This is a multiplicative deviation from the overall post-Idai level in April 2019 (e.g., during the month following Cyclone Idai, the ratio of first ANC visits to the population of women of reproductive health age was 11% lower relative to the entire post-Idai period).

    • View popup
    TABLE 4.

    Model Estimates and Relative Losses for Each Study Indicator After Cyclone Idai, Manica and Sofala Provinces, Mozambique, 2019

    IndicatorObservedModel Expected Without Cyclone IdaiModel Expected With Cyclone IdaiRelative Lossa
    CountCount (CI)Count (CI)(CI)
    MarchAprilMayMarchAprilMayMarchAprilMayMarchAprilMay
    First ANC visit7618651,0198508368727718629330.89 (0.72, 1.11)1.00 (0.80, 1.26)1.08 (0.95, 1.23)
    (780, 927)(764, 914)(794, 958)(602, 986)(683, 1,086)(826, 1,053)
    IPTp4391411422423 (348, 513)437 (356, 536)440 (356, 544)397 (256, 617)415 (251, 685)415 (345, 500)0.88 (0.61, 1.31)0.88 (0.57, 1.38)0.94 (0.79, 1.11)
    Institutional delivery567621645645 (598, 694)689 (637, 744)669 (617, 725)569 (485, 666)623 (536, 723)657 (611, 706)0.88 (0.75, 1.02)0.90 (0.77, 1.05)0.98 (0.90, 1.07)
    New FP user1,6761,6274,52619211,8792,5201,6941,6152,8080.86 (0.56, 1.34)0.85 (0.56, 1.29)1.12 (0.86, 1.45)
    (1,423, 2,594)(1,375, 2,566)(1,818, 3,493)(1,000, 2,870)(1,014, 2,575)(2,092, 3,768)
    Measles vaccination565532722650 (569, 743)606 (529, 695)640 (556, 736)566 (424, 756)536 (350, 821)701 (605, 813)0.87 (0.67, 1.14)0.87 (0.61, 1.29)1.10 (0.97, 1.25)
    BCG vaccination591646775659 (592, 733)695 (623, 776)706 (631, 789)591 (457, 764)655 (447, 960)772 (690, 863)0.90 (0.71, 1.14)0.92 (0.67, 1.29)1.10 (1.00, 1.21)
    DPT-Hib3 vaccination578526668631 (567, 703)602 (539, 673)618 (551, 693)579 (445, 754)531 (368, 767)654 (581, 736)0.92 (0.72, 1.18)0.87 (0.64, 1.23)1.06 (0.96, 1.18)
    Fully immunized children under age 1 year532503634615 (534, 709)570 (493, 659)575 (496, 666)533 (395, 718)508 (340, 759)618 (537, 712)0.86 (0.66, 1.12)0.88 (0.63, 1.27)1.07 (0.96, 1.20)
    First at-risk children’s consultation92101129105 (81, 137)108 (82, 143)105 (78, 142)96 (65, 142)103 (54, 198)130 (101, 168)0.95 (0.72, 1.27)0.97 (0.60, 1.65)1.29 (1.04, 1.59)
    Postpartum visit within 3–7 days42535748 (22, 102)53 (24, 117)44 (19, 102)44 (11, 174)48 (13, 182)60 (28, 130)0.86 (0.40, 1.88)0.84 (0.43, 1.64)1.40 (0.95, 2.06)
    • Abbreviations: ANC, antenatal care; BCG, bacillus Calmette-Guerin; CI, confidence interval; DPT-Hib3, diphtheria, pertussis, tetanus, and Haemophilus influenzae type b; FP, family planning; IPTp4, at least 4 doses of intermittent preventive treatment prophylaxis.

    • ↵a Relative loss is computed at the district level by dividing the Model Expected With Cyclone Idai scenario by the Model Expected Without Cyclone Idai scenario. Averages of these ratios are then computed for overall relative loss. The confidence intervals are computed from Markov Chain Monte-Carlo (MCMC) posterior realizations.

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Global Health: Science and Practice: 10 (Supplement 1)
Global Health: Science and Practice
Vol. 10, No. Supplement 1
September 15, 2022
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Maternal and Child Health Care Service Disruptions and Recovery in Mozambique After Cyclone Idai: An Uncontrolled Interrupted Time Series Analysis
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Maternal and Child Health Care Service Disruptions and Recovery in Mozambique After Cyclone Idai: An Uncontrolled Interrupted Time Series Analysis
Quinhas Fernandes, Orvalho Augusto, Sérgio Chicumbe, Laura Anselmi, Bradley H. Wagenaar, Rosa Marlene, Sãozinha Agostinho, Sarah Gimbel, James Pfeiffer, Celso Inguane, Dorlim Moiana Uetela, Jonny Crocker, Isaías Ramiro, Benigna Matsinhe, Stélio Tembe, Naziat Carimo, Stephen Gloyd, Ivan Manhiça, Esperança Tavede, Priscilla Felimone, Kenneth Sherr
Global Health: Science and Practice Sep 2022, 10 (Supplement 1) e2100796; DOI: 10.9745/GHSP-D-21-00796

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Maternal and Child Health Care Service Disruptions and Recovery in Mozambique After Cyclone Idai: An Uncontrolled Interrupted Time Series Analysis
Quinhas Fernandes, Orvalho Augusto, Sérgio Chicumbe, Laura Anselmi, Bradley H. Wagenaar, Rosa Marlene, Sãozinha Agostinho, Sarah Gimbel, James Pfeiffer, Celso Inguane, Dorlim Moiana Uetela, Jonny Crocker, Isaías Ramiro, Benigna Matsinhe, Stélio Tembe, Naziat Carimo, Stephen Gloyd, Ivan Manhiça, Esperança Tavede, Priscilla Felimone, Kenneth Sherr
Global Health: Science and Practice Sep 2022, 10 (Supplement 1) e2100796; DOI: 10.9745/GHSP-D-21-00796
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