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  1. Book ; Online: African cities and collaborative futures : Urban platforms and metropolitan logistics

    Keith, Michael / de Souza Santos, Andreza Aruska

    2021  

    Keywords Urban communities ; Southern Africa ; Human geography ; Development studies ; African cities; infrastructure; seeing like a city
    Size 1 electronic resource (208 pages)
    Publisher Manchester University Press
    Publishing place Manchester
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021048326
    ISBN 9781526155368 ; 1526155362
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Urban transformations and public health in the emergent city

    Keith, Michael / de Souza Santos, Andreza Aruska

    2020  

    Keywords Human geography ; Personal & public health ; Urban & municipal planning ; Brazil ; urban transformation ; mental health ; violence against women and girls (VAWG) ; mobility ; sanitation ; food ; racism
    Size 1 electronic resource (232 pages)
    Publisher Manchester University Press
    Publishing place Manchester
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021028052
    ISBN 9781526150950 ; 1526150956
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: The Brazilian COVID-19 vaccination campaign: a modelling analysis of sociodemographic factors on uptake.

    Li, Sabrina L / Prete, Carlos A / Zarebski, Alexander E / de Souza Santos, Andreza Aruska / Sabino, Ester C / Nascimento, Vitor H / Wu, Chieh-Hsi / Messina, Jane P

    BMJ open

    2024  Volume 14, Issue 1, Page(s) e076354

    Abstract: Objective: Dose shortages delayed access to COVID-19 vaccination. We aim to characterise inequality in two-dose vaccination by sociodemographic group across Brazil.: Design: This is a cross-sectional study.: Setting: We used data retrieved from ... ...

    Abstract Objective: Dose shortages delayed access to COVID-19 vaccination. We aim to characterise inequality in two-dose vaccination by sociodemographic group across Brazil.
    Design: This is a cross-sectional study.
    Setting: We used data retrieved from the Brazilian Ministry of Health databases published between 17 January 2021 and 6 September 2021.
    Methods: We assessed geographical inequalities in full vaccination coverage and dose by age, sex, race and socioeconomic status. We developed a Campaign Optimality Index to characterise inequality in vaccination access due to premature vaccination towards younger populations before older and vulnerable populations were fully vaccinated. Generalised linear regression was used to investigate the risk of death and hospitalisation by age group, socioeconomic status and vaccination coverage.
    Results: Vaccination coverage is higher in the wealthier South and Southeast. Men, people of colour and low-income groups were more likely to be only partially vaccinated due to missing or delaying a second dose. Vaccination started prematurely for age groups under 50 years which may have hindered uptake in older age groups. Vaccination coverage was associated with a lower risk of death, especially in older age groups (ORs 9.7 to 29.0, 95% CI 9. 4 to 29.9). Risk of hospitalisation was greater in areas with higher vaccination rates due to higher access to care and reporting.
    Conclusions: Vaccination inequality persists between states, age and demographic groups despite increasing uptake. The association between hospitalisation rates and vaccination is attributed to preferential delivery to areas of greater transmission and access to healthcare.
    MeSH term(s) Male ; Female ; Humans ; Aged ; Middle Aged ; Socioeconomic Factors ; Brazil/epidemiology ; COVID-19 Vaccines ; Cross-Sectional Studies ; Sociodemographic Factors ; COVID-19/epidemiology ; COVID-19/prevention & control ; Vaccination ; Immunization Programs
    Chemical Substances COVID-19 Vaccines
    Language English
    Publishing date 2024-01-17
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2023-076354
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Dataset on SARS-CoV-2 non-pharmaceutical interventions in Brazilian municipalities.

    de Souza Santos, Andreza Aruska / Candido, Darlan da Silva / de Souza, William Marciel / Buss, Lewis / Li, Sabrina L / Pereira, Rafael H M / Wu, Chieh-Hsi / Sabino, Ester C / Faria, Nuno R

    Scientific data

    2021  Volume 8, Issue 1, Page(s) 73

    Abstract: Brazil has one of the fastest-growing COVID-19 epidemics worldwide. Non-pharmaceutical interventions (NPIs) have been adopted at the municipal level with asynchronous actions taken across 5,568 municipalities and the Federal District. This paper ... ...

    Abstract Brazil has one of the fastest-growing COVID-19 epidemics worldwide. Non-pharmaceutical interventions (NPIs) have been adopted at the municipal level with asynchronous actions taken across 5,568 municipalities and the Federal District. This paper systematises the fragmented information on NPIs reporting on a novel dataset with survey responses from 4,027 mayors, covering 72.3% of all municipalities in the country. This dataset responds to the urgency to track and share findings on fragmented policies during the COVID-19 pandemic. Quantifying NPIs can help to assess the role of interventions in reducing transmission. We offer spatial and temporal details for a range of measures aimed at implementing social distancing and the dates when these measures were relaxed by local governments.
    MeSH term(s) Brazil ; COVID-19/prevention & control ; COVID-19/transmission ; Cities ; Communicable Disease Control/methods ; Humans ; Pandemics
    Language English
    Publishing date 2021-03-04
    Publishing country England
    Document type Dataset ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-021-00859-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: SARS-CoV-2 non-pharmaceutical interventions in Brazilian municipalities

    de Souza Santos, Andreza Aruska / da Silva Cândido, Darlan / Marciel de Souza, William / Buss, Lewis / Li, Sabrina / H. M. Pereira, Rafael / Wu, Chieh-Hsi / Sabino, Ester / R. Faria, Nuno

    2020  

    Abstract: Brazil has one of the fastest-growing COVID-19 epidemics worldwide. Non-pharmaceutical interventions (NPIs) have been adopted on a municipal level, with asynchronous actions taken across 5,568 municipalities and the Federal District. This paper addresses ...

    Abstract Brazil has one of the fastest-growing COVID-19 epidemics worldwide. Non-pharmaceutical interventions (NPIs) have been adopted on a municipal level, with asynchronous actions taken across 5,568 municipalities and the Federal District. This paper addresses this complexity reporting on a novel dataset with survey responses from 4,027 mayors, 72.3% of the total municipalities in the country. This dataset responds to the urgency to track and share findings on fragmented policies to tackle health crises like the COVID-19 pandemic. Quantifying NPIs can allow for understanding the effectiveness of interventions in reducing transmission. We offer temporal details for a range of measures aimed at generating social distancing as well as when local governments started to relax those measures.

    Because not all municipal authorities answered to all questions, we suggest users to consider additional sources of information to document missing policy implementation using preferably official source of information such as local decrees. However, as decrees are not always available online, secondary sources such as media reports may need to be consulted. As the pandemic progresses and as Brazil is a highly affected country, we invite researchers to use the data to best understand the pandemic and support health policymakers in their efforts.

    Information on local NPI policies related to COVID-19 were collected through a phone-based survey conducted directly with mayors, with an option to receive a protected password to respond to the questionnaire online at a later time or to update previous answers. We focused on information that has a direct impact on the mobility of residents; that was associated with a specific date of implementation; and that, as policies, are of public domain but were not yet tabled together. We collected information on policies adapting a classification system that included: (1) adoption of cordon sanitaire, (2) prohibition of agglomeration, (3) closure of all but essential services, and (4) compulsory use of face covers, (5) reduction in public transportation offer and if so, what was the percentage of the reduction, and (6) if there was already any easing of the above distancing measures. For all questions there was a side column asking when the action was adopted, and that field was populated in the format DD/MM/YYYY. In order to collect these data, we started a collaboration with the Brazilian Confederation of Municipalities (CNM). This cooperation was established through a meeting followed by a written agreement signed by the first and last authors of this paper with CNM on April 9, 2020. The authors were allowed to describe, deposit and analyse the dataset. The public availability of these data also extends to other scholars the right to analyse the data. CNM has a call centre and as the largest municipal association in Brazil, they possess the email and telephone number of all Brazilian elected mayors. The capillarity of that organisation makes it an ideal partner for such large-scale data collection. The partnership was established because of the need to understand the impact of decentralized measures in Brazil and what decentralisation causes to the spread of infectious diseases. Upon the establishment of this collaboration, CNM designed further questions to the questionnaire that are of interest to their monitoring of municipalities, such as budgetary information possibly affected by the pandemic. In total, the questionnaire had 47 questions; our database has 5 columns related to the identification of the municipality and 13 of the 47 questions that were part of our collaboration to document NPI policy strategies. The 13 questions that form this dataset (6 thematic questions with respective 6 dates of implementation and 1 question pertaining to percentage) were discussed through coordinated orientation.
    Keywords covid19
    Subject code 710
    Publishing date 2020-10-22
    Publishing country eu
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation.

    Mee, Paul / Alexander, Neal / Mayaud, Philippe / Colon-Gonzalez, Felipe J / Abbott, Sam / de Souza Santos, Andreza Aruska / Acosta, Andre Luis / Parag, Kris V / Pereira, Rafael / Prete, Carlos A / Sabino, Ester C / Faria, Nuno R. / Brady, Oliver J

    medRxiv

    Abstract: Brazil is one of the countries worst affected by the COVID-19 pandemic. We have developed CLIC-Brazil an online application for the real-time visualisation of COVID-19 data in Brazil at the municipality level. In the app, case and death data are ... ...

    Abstract Brazil is one of the countries worst affected by the COVID-19 pandemic. We have developed CLIC-Brazil an online application for the real-time visualisation of COVID-19 data in Brazil at the municipality level. In the app, case and death data are standardised to allow comparisons to be made between places and over time. Estimates of Rt , a measure of the rate of propagation of the epidemic, over time are also made. Using data from the app, regression analyses identified factors associated with; the rate of initial spread, early epidemic intensity and predictions of the likelihood of occurrence of new incidence maxima. Municipalities with higher metrics of social development experienced earlier onset and faster growing epidemics, although space and time were the predominant predictive factors. Differences in the initial epidemic intensity (mean Rt ) were largely driven by geographic location and the date of local onset. This study demonstrates that by monitoring, standardising and analysing the development of an epidemic at a local level, insights can be gained into spatial and temporal heterogeneities.
    Keywords covid19
    Language English
    Publishing date 2021-05-04
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.04.30.21256386
    Database COVID19

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  7. Article: Higher risk of death from COVID-19 in low-income and non-White populations of São Paulo, Brazil.

    Li, Sabrina L / Pereira, Rafael H M / Prete, Carlos A / Zarebski, Alexander E / Emanuel, Lucas / Alves, Pedro J H / Peixoto, Pedro S / Braga, Carlos K V / de Souza Santos, Andreza Aruska / de Souza, William M / Barbosa, Rogerio J / Buss, Lewis F / Mendrone, Alfredo / de Almeida-Neto, Cesar / Ferreira, Suzete C / Salles, Nanci A / Marcilio, Izabel / Wu, Chieh-Hsi / Gouveia, Nelson /
    Nascimento, Vitor H / Sabino, Ester C / Faria, Nuno R / Messina, Jane P

    BMJ global health

    2021  Volume 6, Issue 4

    Abstract: Introduction: Little evidence exists on the differential health effects of COVID-19 on disadvantaged population groups. Here we characterise the differential risk of hospitalisation and death in São Paulo state, Brazil, and show how vulnerability to ... ...

    Abstract Introduction: Little evidence exists on the differential health effects of COVID-19 on disadvantaged population groups. Here we characterise the differential risk of hospitalisation and death in São Paulo state, Brazil, and show how vulnerability to COVID-19 is shaped by socioeconomic inequalities.
    Methods: We conducted a cross-sectional study using hospitalised severe acute respiratory infections notified from March to August 2020 in the
    Results: Throughout the study period, patients living in the 40% poorest areas were more likely to die when compared with patients living in the 5% wealthiest areas (OR: 1.60, 95% CI 1.48 to 1.74) and were more likely to be hospitalised between April and July 2020 (OR: 1.08, 95% CI 1.04 to 1.12). Black and
    Conclusions: Low-income and Black and
    MeSH term(s) Adult ; Aged ; Aged, 80 and over ; Brazil/epidemiology ; COVID-19/ethnology ; COVID-19/mortality ; Cross-Sectional Studies ; Ethnicity/statistics & numerical data ; Female ; Health Status Disparities ; Hospital Mortality/ethnology ; Humans ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral/epidemiology ; Poverty Areas ; Residence Characteristics/statistics & numerical data ; SARS-CoV-2 ; Seroepidemiologic Studies ; Socioeconomic Factors
    Language English
    Publishing date 2021-04-28
    Publishing country England
    Document type Journal Article
    ISSN 2059-7908
    ISSN 2059-7908
    DOI 10.1136/bmjgh-2021-004959
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Resurgence of COVID-19 in Manaus, Brazil, despite high seroprevalence.

    Sabino, Ester C / Buss, Lewis F / Carvalho, Maria P S / Prete, Carlos A / Crispim, Myuki A E / Fraiji, Nelson A / Pereira, Rafael H M / Parag, Kris V / da Silva Peixoto, Pedro / Kraemer, Moritz U G / Oikawa, Marcio K / Salomon, Tassila / Cucunuba, Zulma M / Castro, Márcia C / de Souza Santos, Andreza Aruska / Nascimento, Vítor H / Pereira, Henrique S / Ferguson, Neil M / Pybus, Oliver G /
    Kucharski, Adam / Busch, Michael P / Dye, Christopher / Faria, Nuno R

    Lancet (London, England)

    2021  Volume 397, Issue 10273, Page(s) 452–455

    MeSH term(s) Brazil ; COVID-19/epidemiology ; COVID-19/virology ; Humans ; Seroepidemiologic Studies ; Time Factors
    Language English
    Publishing date 2021-01-27
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 3306-6
    ISSN 1474-547X ; 0023-7507 ; 0140-6736
    ISSN (online) 1474-547X
    ISSN 0023-7507 ; 0140-6736
    DOI 10.1016/S0140-6736(21)00183-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Author Correction: Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals.

    Brizzi, Andrea / Whittaker, Charles / Servo, Luciana M S / Hawryluk, Iwona / Prete, Carlos A / de Souza, William M / Aguiar, Renato S / Araujo, Leonardo J T / Bastos, Leonardo S / Blenkinsop, Alexandra / Buss, Lewis F / Candido, Darlan / Castro, Marcia C / Costa, Silvia F / Croda, Julio / de Souza Santos, Andreza Aruska / Dye, Christopher / Flaxman, Seth / Fonseca, Paula L C /
    Geddes, Victor E V / Gutierrez, Bernardo / Lemey, Philippe / Levin, Anna S / Mellan, Thomas / Bonfim, Diego M / Miscouridou, Xenia / Mishra, Swapnil / Monod, Mélodie / Moreira, Filipe R R / Nelson, Bruce / Pereira, Rafael H M / Ranzani, Otavio / Schnekenberg, Ricardo P / Semenova, Elizaveta / Sonabend, Raphael / Souza, Renan P / Xi, Xiaoyue / Sabino, Ester C / Faria, Nuno R / Bhatt, Samir / Ratmann, Oliver

    Nature medicine

    2022  Volume 28, Issue 7, Page(s) 1509

    Language English
    Publishing date 2022-07-14
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 1220066-9
    ISSN 1546-170X ; 1078-8956
    ISSN (online) 1546-170X
    ISSN 1078-8956
    DOI 10.1038/s41591-022-01939-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals.

    Brizzi, Andrea / Whittaker, Charles / Servo, Luciana M S / Hawryluk, Iwona / Prete, Carlos A / de Souza, William M / Aguiar, Renato S / Araujo, Leonardo J T / Bastos, Leonardo S / Blenkinsop, Alexandra / Buss, Lewis F / Candido, Darlan / Castro, Marcia C / Costa, Silvia F / Croda, Julio / de Souza Santos, Andreza Aruska / Dye, Christopher / Flaxman, Seth / Fonseca, Paula L C /
    Geddes, Victor E V / Gutierrez, Bernardo / Lemey, Philippe / Levin, Anna S / Mellan, Thomas / Bonfim, Diego M / Miscouridou, Xenia / Mishra, Swapnil / Monod, Mélodie / Moreira, Filipe R R / Nelson, Bruce / Pereira, Rafael H M / Ranzani, Otavio / Schnekenberg, Ricardo P / Semenova, Elizaveta / Sonabend, Raphael / Souza, Renan P / Xi, Xiaoyue / Sabino, Ester C / Faria, Nuno R / Bhatt, Samir / Ratmann, Oliver

    Nature medicine

    2022  Volume 28, Issue 7, Page(s) 1476–1485

    Abstract: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant of concern has spread rapidly across Brazil since late 2020, causing substantial infection and death waves. Here we used individual-level patient records after hospitalization ...

    Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant of concern has spread rapidly across Brazil since late 2020, causing substantial infection and death waves. Here we used individual-level patient records after hospitalization with suspected or confirmed coronavirus disease 2019 (COVID-19) between 20 January 2020 and 26 July 2021 to document temporary, sweeping shocks in hospital fatality rates that followed the spread of Gamma across 14 state capitals, during which typically more than half of hospitalized patients aged 70 years and older died. We show that such extensive shocks in COVID-19 in-hospital fatality rates also existed before the detection of Gamma. Using a Bayesian fatality rate model, we found that the geographic and temporal fluctuations in Brazil's COVID-19 in-hospital fatality rates were primarily associated with geographic inequities and shortages in healthcare capacity. We estimate that approximately half of the COVID-19 deaths in hospitals in the 14 cities could have been avoided without pre-pandemic geographic inequities and without pandemic healthcare pressure. Our results suggest that investments in healthcare resources, healthcare optimization and pandemic preparedness are critical to minimize population-wide mortality and morbidity caused by highly transmissible and deadly pathogens such as SARS-CoV-2, especially in low- and middle-income countries.
    MeSH term(s) Aged ; Aged, 80 and over ; Bayes Theorem ; Brazil/epidemiology ; COVID-19/epidemiology ; Hospitals ; Humans ; SARS-CoV-2
    Language English
    Publishing date 2022-05-10
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1220066-9
    ISSN 1546-170X ; 1078-8956
    ISSN (online) 1546-170X
    ISSN 1078-8956
    DOI 10.1038/s41591-022-01807-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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